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L. Morillo-Mendez, M. G. S. Schrooten, A. Loutfi and O. Martinez Mozos. Age-Related Differences in the Perception of Robotic Referential Gaze in Human-Robot Interaction. International Journal of Social Robotics, 16(6):1069-1081, 2024 [ BibTeX | DiVA ] |
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D. Mauritzson, G. Sjölin and A. Persson. Can prediction models aid in the process of selecting treatment for hyperthyroidism?. British Journal of Surgery, 111(Suppl. 7), 2024 [ BibTeX | DiVA ] |
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C. J. Kymn, D. Kleyko, E. P. Frady, C. Bybee, P. Kanerva, F. T. Sommer and B. A. Olshausen. Computing With Residue Numbers in High-Dimensional Representation. Neural Computation 2024 [ BibTeX | DiVA ] |
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A. M. Uhrmacher, P. Frazier, R. Hähnle, F. Klügl, F. Lorig, B. Ludäscher, L. Nenzi, C. Ruiz-Martin, B. Rumpe, C. Szabo, G. Wainer and P. Wilsdorf. Context, Composition, Automation, and Communication : The C2AC Roadmap for Modeling and Simulation. ACM Transactions on Modeling and Computer Simulation, 34(4):1-51, 2024 [ BibTeX | DiVA ] |
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P. Zuidberg dos Martires, L. De Raedt and A. Kimmig. Declarative probabilistic logic programming in discrete-continuous domains. Artificial Intelligence, 337, 2024 [ BibTeX | DiVA ] |
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G. M. A. Rahaman, M. Längkvist and A. Loutfi. Deep learning based automated estimation of urban green space index from satellite image : A case study. Urban Forestry & Urban Greening, 97, 2024 [ BibTeX | DiVA ] |
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F. Klügl and H. Kyvik Nord\aas. Double whammy? Trade and automation in engineering services. Review of International Economics, 32(4):1493-1520, 2024 [ BibTeX | DiVA ] |
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G. Marra, S. Dumancic, R. Manhaeve and L. De Raedt. From statistical relational to neurosymbolic artificial intelligence : A survey. Artificial Intelligence, 328, 2024 [ BibTeX | DiVA ] |
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E. Osipov, S. Kahawala, D. Haputhanthri, T. Kempitiya, D. De Silva, D. Alahakoon and D. Kleyko. Hyperseed : Unsupervised learning with vector symbolic architectures. IEEE Transactions on Neural Networks and Learning Systems, 35(5):6583-6597, 2024 [ BibTeX | DiVA ] |
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K. Schlegel, D. Kleyko, B. H. Brinkmann, E. S. Nurse, R. W. Gayler and P. Neubert. Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. Nature Machine Intelligence, 6(2):243-244, 2024 [ BibTeX | DiVA ] |
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V. Verreet, L. De Raedt and J. Bekker. Modeling PU learning using probabilistic logic programming. Machine Learning, 113(3):1351-1372, 2024 [ BibTeX | DiVA ] |
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S. Neelakantan, J. Norell, A. Hansson, M. Längkvist and A. Loutfi. Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation. Applied Computing and Geosciences, 21, 2024 [ BibTeX | DiVA ] |
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D. Kleyko, A. Rosato, E. Paxon Frady, M. Panella and F. T. Sommer. Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 35(7):9885-9899, 2024 [ BibTeX | DiVA ] |
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V. Derkinderen, R. Manhaeve, P. Zuidberg dos Martires and L. De Raedt. Semirings for probabilistic and neuro-symbolic logic programming. International Journal of Approximate Reasoning, 171, 2024 [ BibTeX | DiVA ] |
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S. Kim, F. Novakazi, E. van Grondelle, R. van Egmond and R. Happee. Who is performing the driving tasks after interventions? Investigating drivers' understanding of mode transition logic in automated vehicles. Applied Ergonomics, 121, 2024 [ BibTeX | DiVA ] |
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P. Zuidberg dos Martires, V. Derkinderen, L. De Raedt and M. Krantz. Automated Reasoning in Systems Biology : A Necessity for Precision Medicine. In Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, pages 974-980, 2024 [ BibTeX | DiVA ] |
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C. J. Kymn, S. Mazelet, A. Thomas, D. Kleyko, E. P. Frady, F. T. Sommer and B. A. Olshausen. Binding in Hippocampal-entorhinal Circuits Enables Compositionality in Cognitive Maps. In Advances in Neural Information Processing Systems 38 (NeurIPS 2024) : Proceedings of the international conference Neural Information Processing Systems 2024, 38(38), 2024 [ BibTeX | DiVA ] |
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C. J. Kymn, S. Mazelet, A. Ng, D. Kleyko and B. A. Olshausen. Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. In 2024 Neuro Inspired Computational Elements Conference (NICE) 2024 [ BibTeX | DiVA ] |
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O. Mironenko, H. Banaee and A. Loutfi. Evaluation of Human Interaction with Fleets of Automated Vehicles in Dynamic Underground Mining Environments. In Agents and Robots for reliable Engineered Autonomy : 4th Workshop, AREA 2024, Santiago de Compostela, Spain, October 19, 2024, Proceedings, pages 54-72, 2024 [ BibTeX | DiVA ] |
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G. Venturato, V. Derkinderen, P. Zuidberg dos Martires and L. De Raedt. Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation. In Proceedings of the 38th AAAI Conference on Artificial Intelligence, 38(38:18):20567-20576, 2024 [ BibTeX | DiVA ] |
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S. Neelakantan, A. Hansson, J. Norell, J. Schött, M. Längkvist and A. Loutfi. Machine Learning for Lithology Analysis using a Multi-Modal Approach of Integrating XRF and XCT data. In 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden 2024 [ BibTeX | DiVA | PDF ] |
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D. Kleyko and D. A. Rachkovskij. On Design Choices in Similarity-Preserving Sparse Randomized Embeddings. In 2024 International Joint Conference on Neural Networks (IJCNN) 2024 [ BibTeX | DiVA ] |
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P. Zuidberg dos Martires. Probabilistic Neural Circuits. In Proceedings of the 38th AAAI Conference on Artificial Intelligence, 38(38:15):17280-17289, 2024 [ BibTeX | DiVA ] |
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R. Hazra, P. Zuidberg dos Martires and L. De Raedt. SayCanPay : Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. In Proceedings of the 38th AAAI Conference on Artificial Intelligence, 38(38:18):20123-20133, 2024 [ BibTeX | DiVA ] |
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Y. Jiao, L. De Raedt and G. Marra. Valid Text-to-SQL Generation with Unification-Based DeepStochLog. In Neural-Symbolic Learning and Reasoning : 18th International Conference, NeSy 2024, Barcelona, Spain, September 9–12, 2024, Proceedings, Part I, 14979(Vol. 14979):312-330, 2024 [ BibTeX | DiVA ] |
[1] |
M. Van Roy, P. Robberechts, W. C. Yang, L. De Raedt and J. Davis. A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer. The journal of artificial intelligence research, 77:517-562, 2023 [ BibTeX | DiVA ] |
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D. Kleyko, D. A. Rachkovskij, E. Osipov and A. Rahimi. A survey on hyperdimensional computing aka vector symbolic architectures : Part I: Models and data transformations. ACM Computing Surveys, 55(6), 2023 [ BibTeX | DiVA ] |
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N. Akalin, A. Kiselev, A. Kristoffersson and A. Loutfi. A Taxonomy of Factors Influencing Perceived Safety in Human-Robot Interaction. International Journal of Social Robotics, 15:1993-2004, 2023 [ BibTeX | DiVA ] |
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A. Srivastava, A. Rastogi and D. Kleyko. Beyond the imitation game : Quantifying and extrapolating the capabilities of language models. Transactions on Machine Learning Research, 5:1-95, 2023 [ BibTeX | DiVA ] |
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A. Rydström, M. Söderholm Mullaart, F. Novakazi, M. Johansson and A. Eriksson. Drivers' Performance in Non-critical Take-Overs From an Automated Driving System-An On-Road Study. Human Factors, 65(8):1841-1857, 2023 [ BibTeX | DiVA ] |
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M. Karlsson and F. Novakazi. Drivers' usage of driving automation systems in different contexts : A survey in China, Germany, Spain and USA. IET Intelligent Transport Systems, 17(10):2004-2019, 2023 [ BibTeX | DiVA ] |
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D. Kleyko, C. Bybee, P. C. Huang, C. J. Kymn, B. A. Olshausen, E. P. Frady and F. T. Sommer. Efficient decoding of compositional structure in holistic representations. Neural Computation, 35(7):1159-1186, 2023 [ BibTeX | DiVA ] |
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C. Bybee, D. Kleyko, D. E. Nikonov, A. Khosrowshahi, B. A. Olshausen and F. T. Sommer. Efficient optimization with higher-order ising machines. Nature Communications, 14(1), 2023 [ BibTeX | DiVA ] |
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Q. Liao, D. Sun, S. Zhang, A. Loutfi and H. Andreasson. Fuzzy Cluster-based Group-wise Point Set Registration with Quality Assessment. IEEE Transactions on Image Processing, 32:550-564, 2023 [ BibTeX | DiVA | PDF ] |
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D. Kleyko, G. Karunaratne, J. M. Rabaey, A. Sebastian and A. Rahimi. Generalized key-value memory to flexibly adjust redundancy in memory-augmented networks. IEEE Transactions on Neural Networks and Learning Systems, 34(12):10993-10998, 2023 [ BibTeX | DiVA ] |
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S. S. V. Kalidindi, H. Banaee, H. Karlsson and A. Loutfi. Indoor temperature prediction with context-aware models in residential buildings. Building and Environment, 244, 2023 [ BibTeX | DiVA ] |
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K. Dhole, D. Kleyko and Y. Zhang. NL-augmenter : A framework for task-sensitive natural language augmentation. Northern European Journal of Language Technology (NEJLT), 9(1):1-41, 2023 [ BibTeX | DiVA ] |
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J. L. Teeters, D. Kleyko, P. Kanerva and B. A. Olshausen. On separating long- and short-term memories in hyperdimensional computing. Frontiers in Neuroscience, 16, 2023 [ BibTeX | DiVA ] |
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A. Giaretta and A. Loutfi. On the people counting problem in smart homes : undirected graphs and theoretical lower-bounds. Journal of Ambient Intelligence and Humanized Computing, 14(4):3839-3851, 2023 [ BibTeX | DiVA | PDF ] |
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U. Norinder and S. Lowry. Predicting Larch Casebearer damage with confidence using Yolo network models and conformal prediction. Remote Sensing Letters, 14(10):1023-1035, 2023 [ BibTeX | DiVA ] |
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P. Kurtser and S. Lowry. RGB-D datasets for robotic perception in site-specific agricultural operations : A survey. Computers and Electronics in Agriculture, 212, 2023 [ BibTeX | DiVA ] |
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M. Heddes, I. Nunes, P. Vergés, D. Kleyko, D. Abraham, T. Givargis, A. Nicolau and A. Veidenbaum. Torchhd : An open source python library to support research on hyperdimensional computing and vector symbolic architectures. Journal of machine learning research, 24(255):1-10, 2023 [ BibTeX | DiVA ] |
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B. Paylar, M. Längkvist, J. Jass and P. E. Olsson. Utilization of Computer Classification Methods for Exposure Prediction and Gene Selection in Daphnia magna Toxicogenomics. Biology, 12(5), 2023 [ BibTeX | DiVA ] |
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E. P. Frady, D. Kleyko and F. T. Sommer. Variable binding for sparse distributed representations : theory and applications. IEEE Transactions on Neural Networks and Learning Systems, 34(5):2191-2204, 2023 [ BibTeX | DiVA ] |
[1] |
C. Landin, X. Zhao, M. Längkvist and A. Loutfi. An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process. In 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), pages 353-360, 2023 [ BibTeX | DiVA ] |
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R. Hazra and L. De Raedt. Deep Explainable Relational Reinforcement Learning : A Neuro-Symbolic Approach. In Machine Learning and Knowledge Discovery in Databases: Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part IV, 14172(14172):213-229, 2023 [ BibTeX | DiVA | PDF ] |
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Y. Zhu, Z. Chen, Q. Yan, S. Wang, A. Giaretta, E. Li, L. Peng, C. Zhao and M. Conti. Devils in the Clouds : An Evolutionary Study of Telnet Bot Loaders. In ICC 2023 - IEEE International Conference on Communications, pages 2338-2344, 2023 [ BibTeX | DiVA ] |
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L. De Smet, E. Sansone and P. Zuidberg dos Martires. Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. In Proceedings of the Conference on Neural Information Processing Systems, 36(36), 2023 [ BibTeX | DiVA | PDF ] |
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K. Somasundaram, A. Kiselev and A. Loutfi. Intelligent Disobedience : A Novel Approach for Preventing Human Induced Interaction Failures in Robot Teleoperation. In HRI '23 : Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, pages 142-145, 2023 [ BibTeX | DiVA | PDF ] |
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S. Timpf and F. Klügl. Modelling Affordances as Emergent Phenomena (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023), pages 72:1-72:6, 2023 [ BibTeX | DiVA | PDF ] |
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F. Klügl and H. Kyvik Nord\aas. Modelling Agent Decision Making in Agent-based Simulation - Analysis Using an Economic Technology Uptake Model. In AAMAS '23 : Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, pages 1903-1911, 2023 [ BibTeX | DiVA | PDF ] |
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L. De Smet, P. Zuidberg dos Martires, R. Manhaeve, G. Marra, A. Kimmig and L. De Raedt. Neural Probabilistic Logic Programming in Discrete-Continuous Domains. In Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, pages 529-538, 2023 [ BibTeX | DiVA | PDF ] |
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N. Ritola, A. Giaretta and A. Kiselev. Operator Identification in a VR-Based Robot Teleoperation Scenario Using Head, Hands, and Eyes Movement Data. In Proceedings of the 6th International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interactions (VAM-HRI), 2023 2023 [ BibTeX | DiVA ] |
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W. C. Yang, G. Marra, G. Rens and L. De Raedt. Safe Reinforcement Learning via Probabilistic Logic Shields. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), pages 5739-5749, 2023 [ BibTeX | DiVA ] |
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W. C. Yang, G. Marra, G. Rens and L. De Raedt. Safe Reinforcement Learning via Probabilistic Logic Shields. In Neural-Symbolic Learning and Reasoning 2023 : Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023, 3432(3432):428-429, 2023 [ BibTeX | DiVA ] |
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J. Maene and L. De Raedt. Soft-Unification in Deep Probabilistic Logic. In Proceedings of the Conference on Neural Information Processing Systems, 36(36), 2023 [ BibTeX | DiVA ] |
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E. Gutiérrez Maestro, H. Banaee and A. Loutfi. Stress Lingers : Recognizing the Impact of Task Order on Design of Stress and Emotion Detection Systems. 2023 [ BibTeX | DiVA | PDF ] |
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K. Harrisont, G. Perugia, F. Correia, K. Somasundaram, S. van Waveren, A. Paiva and A. Loutfi. The Imperfectly Relatable Robot : An Interdisciplinary Workshop on the Role of Failure in HRI. In HRI '23 : Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, pages 917-919, 2023 [ BibTeX | DiVA ] |
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H. Andreasson, J. Larsson and S. Lowry. A Local Planner for Accurate Positioning for a Multiple Steer-and-Drive Unit Vehicle Using Non-Linear Optimization. Sensors, 22(7), 2022 [ BibTeX | DiVA | PDF ] |
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F. Tavella, A. Giaretta, M. Conti and S. Balasubramaniam. A machine learning-based approach to detect threats in bio-cyber DNA storage systems. Computer Communications, 187:59-70, 2022 [ BibTeX | DiVA ] |
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J. Pirayesh, A. Giaretta, M. Conti and P. Keshavarzi. A PLS-HECC-based device authentication and key agreement scheme for smart home networks. Computer Networks, 216, 2022 [ BibTeX | DiVA ] |
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G. Chimamiwa, A. Giaretta, M. Alirezaie, F. Pecora and A. Loutfi. Are Smart Homes Adequate for Older Adults with Dementia?. Sensors, 22(11), 2022 [ BibTeX | DiVA ] |
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T. De Bie, L. De Raedt, J. Hernandez-Orallo, H. H. Hoos, P. Smyth and C. K. Williams. Automating Data Science. Communications of the ACM, 65(3):76-87, 2022 [ BibTeX | DiVA ] |
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D. Kleyko, E. Frady and F. Sommer. Cellular automata can reduce memory requirements of collective-state computing. IEEE Transactions on Neural Networks and Learning Systems, 33(6):2701-2713, 2022 [ BibTeX | DiVA ] |
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P. C. Huang, D. Kleyko, J. M. Rabaey, B. A. Olshausen and P. Kanerva. Computing with hypervectors for efficient speaker identification. , pages 1-5, 2022 [ BibTeX | DiVA ] |
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S. Krishna Pathi, A. Kiselev and A. Loutfi. Detecting Groups and Estimating F-Formations for Social Human-Robot Interactions. Multimodal Technologies and Interaction, 6(3), 2022 [ BibTeX | DiVA ] |
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N. Akalin, A. Kristoffersson and A. Loutfi. Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures. International journal of human-computer studies, 158, 2022 [ BibTeX | DiVA ] |
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D. Kleyko, E. Frady, M. Kheffache and E. Osipov. Integer echo state networks : efficient reservoir computing for digital hardware. IEEE Transactions on Neural Networks and Learning Systems, 33(4):1688-1701, 2022 [ BibTeX | DiVA ] |
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S. Olatunji, A. Potenza, A. Kiselev, T. Oron-Gilad, A. Loutfi and Y. Edan. Levels of Automation for a Mobile Robot Teleoperated by a Caregiver. ACM Transactions on Human-Robot Interaction, 11(2), 2022 [ BibTeX | DiVA ] |
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W. C. Yang, J. F. Raskin and L. De Raedt. Lifted model checking for relational MDPs. Machine Learning, pages 3797-3838, 2022 [ BibTeX | DiVA ] |
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R. Dechter and L. De Raedt. Preface. IJCAI International Joint Conference on Artificial Intelligence, pages lvi-lvii, 2022 [ BibTeX | DiVA ] |
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H. M. T. Edebol Carlman, J. Rode, J. König, D. Repsilber, A. Hutchinson, P. Thunberg, J. Persson, A. Kiselev, J. C. Pruessner and R. J. Brummer. Probiotic Mixture Containing Lactobacillus helveticus, Bifidobacterium longum and Lactiplantibacillus plantarum Affects Brain Responses to an Arithmetic Stress Task in Healthy Subjects : A Randomised Clinical Trial and Proof-of-Concept Study. Nutrients, 14(7), 2022 [ BibTeX | DiVA ] |
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J. Rode, H. M. T. Edebol Carlman, J. König, D. Repsilber, A. Hutchinson, P. Thunberg, P. Andersson, J. Persson, A. Kiselev, L. Lathrop Stern, B. Salomon, A. A. Mohammed, J. S. Labus and R. J. Brummer. Probiotic Mixture Containing Lactobacillus helveticus, Bifidobacterium longum and Lactiplantibacillus plantarum Affects Brain Responses Toward an Emotional Task in Healthy Subjects : A Randomized Clinical Trial. Frontiers in nutrition, 9, 2022 [ BibTeX | DiVA ] |
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A. Giaretta, N. Dragoni and F. Massacci. S×C4IoT : A Security-by-contract Framework for Dynamic Evolving IoT Devices. ACM transactions on sensor networks, 18(1), 2022 [ BibTeX | DiVA | PDF ] |
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D. Sun, Q. Liao and A. Loutfi. Type-2 Fuzzy Model-based Movement Primitives for Imitation Learning. IEEE Transactions on robotics, 38(4):2462-2480, 2022 [ BibTeX | DiVA | PDF ] |
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D. Kleyko, M. Davies, E. P. Frady, P. Kanerva, S. J. Kent, B. A. Olshausen, E. Osipov, J. M. Rabaey, D. A. Rachkovskij, A. Rahimi and F. T. Sommer. Vector symbolic architectures as a computing framework for emerging hardware. Proceedings of the IEEE, 110(10):1538-1571, 2022 [ BibTeX | DiVA ] |
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R. Dechter, L. De Raedt, C. Sierra, M. Ortiz and S. Woltran. WELCOME TO IJCAI-ECAI 2022. IJCAI International Joint Conference on Artificial Intelligence 2022 [ BibTeX | DiVA ] |
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L. Lidander, F. Novakazi and G. Erhardsson. Building Blocks of Responsibility : A Conceptual Model Illustrating the Factors Influencing Perceived Responsibility Over the Driving Task when Interacting with Driving Automation Systems. In AutomotiveUI '22 : Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pages 137-140, 2022 [ BibTeX | DiVA ] |
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E. P. Frady, D. Kleyko, C. J. Kymn, B. A. Olshausen and F. T. Sommer. Computing on functions using randomized vector representations (in brief). In NICE '22 : Proceedings of the 2022 Annual Neuro-Inspired Computational Elements Conference, pages 115-122, 2022 [ BibTeX | DiVA ] |
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G. M. A. Rahaman, M. Längkvist and A. Loutfi. Deep Learning based Aerial Image Segmentation for Computing Green Area Factor. In 2022 10th European Workshop on Visual Information Processing (EUVIP) 2022 [ BibTeX | DiVA ] |
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T. Winters, G. Marra, R. Manhaeve and L. De Raedt. DeepStochLog : Neural Stochastic Logic Programming. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, 36:9:10090-10100, 2022 [ BibTeX | DiVA ] |
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T. Winters, G. Marra, R. Manhaeve and L. De Raedt. DeepStochLog : Neural Stochastic Logic Programming (Extended Abstract). In Proceedings 38th International Conference on Logic Programming, Haifa, Israel, 31st July 2022 - 6th August 2022, 364(364):126-128, 2022 [ BibTeX | DiVA ] |
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F. Novakazi, A. Eriksson and L. O. Blig\aard. Design for Perception : A Systematic Approach for the Design of Driving Automation Systems based on the Users' Perception. In AutomotiveUI '22 : Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pages 87-90, 2022 [ BibTeX | DiVA ] |
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S. Blad, M. Längkvist, F. Klügl and A. Loutfi. Empirical analysis of the convergence of Double DQN in relation to reward sparsity. In 21st IEEE International Conference on Machine Learning and Applications. ICMLA 2022 : Proceedings, pages 591-596, 2022 [ BibTeX | DiVA ] |
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A. Rosato, M. Panella, E. Osipov and D. Kleyko. Few-shot federated learning in randomized neural networks via hyperdimensional computing. In 2022 International Joint Conference on Neural Networks (IJCNN) : Proceedings 2022 [ BibTeX | DiVA ] |
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V. Verreet, V. Derkinderen, P. Zuidberg dos Martires and L. De Raedt. Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, 36:9:10060-10069, 2022 [ BibTeX | DiVA ] |
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V. Verreet, V. Derkinderen, P. Z. Dos Martires and L. De Raedt. Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. In Proceedings 38th International Conference on Logic Programming, Haifa, Israel, 31st July 2022 - 6th August 2022, 364(364):153-155, 2022 [ BibTeX | DiVA ] |
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D. Kleyko, C. Bybee, C. Kymn, B. Olshausen, A. Khosrowshahi, D. E. Nikonov, F. T. Sommer and E. P. Frady. Integer factorization with compositional distributed representations. In NICE '22 : Proceedings of the 2022 Annual Neuro-Inspired Computational Elements Conference, pages 73-80, 2022 [ BibTeX | DiVA ] |
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W. c. Yang, A. Jain, L. De Raedt and W. Meert. Parameter Learning in ProbLog With Annotated Disjunctions. In Advances in Intelligent Data Analysis XX : 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings, pages 378-391, 2022 [ BibTeX | DiVA ] |
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D. A. Rachkovskij and D. Kleyko. Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. In 2022 International Joint Conference on Neural Networks (IJCNN) : Proceedings 2022 [ BibTeX | DiVA ] |
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S. S. V. Kalidindi, H. Banaee and A. Loutfi. Transformers and Contextual Information in Temperature Prediction of Residential Buildings for Improved Energy Consumption. 2022 [ BibTeX | DiVA | PDF ] |
[1] |
F. Klügl and A. L. C. Bazzan. Accelerating route choice learning with experience sharing in a commuting scenario : An agent-based approach. AI Communications, 34(1):105-119, 2021 [ BibTeX | DiVA ] |
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M. Lujak, I. Dusparic, F. Klügl and G. Vizzari. Agents in Traffic and Transportation (ATT 2020) : [Special Issue Editorial]. AI Communications, 34(1):1-3, 2021 [ BibTeX | DiVA ] |
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E. Paxon Frady, D. Kleyko, C. J. Kymn, B. A. Olshausen and F. T. Sommer. Computing on Functions Using Randomized Vector Representations. , pages 33, 2021 [ BibTeX | DiVA ] |
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D. Kleyko, M. Kheffache, E. P. Frady, U. Wiklund and E. Osipov. Density encoding enables resource-efficient randomly connected neural networks. IEEE Transactions on Neural Networks and Learning Systems, 32(8):3777-3783, 2021 [ BibTeX | DiVA ] |
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F. Tavella, A. Giaretta, T. M. Dooley-Cullinane, M. Conti, L. Coffey and S. Balasubramaniam. DNA Molecular Storage System : Transferring Digitally Encoded Information through Bacterial Nanonetworks. IEEE Transactions on Emerging Topics in Computing, 9(3):1566-1580, 2021 [ BibTeX | DiVA ] |
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H. Kyvik Nord\aas and F. Klügl. Drivers of Automation and Consequences for Jobs in Engineering Services : An Agent-Based Modelling Approach. Frontiers in Robotics and AI, 8, 2021 [ BibTeX | DiVA ] |
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P. Spagnolo, H. Aghajan, G. Bebis, S. Gong, A. Loutfi, L. Sigal and W. S. Zheng. Guest Editorial Introduction to the Special Issue on Large-Scale Visual Sensor Networks : Architectures and Applications. IEEE transactions on circuits and systems for video technology (Print), 31(4):1249-1252, 2021 [ BibTeX | DiVA ] |
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F. Novakazi, M. Johansson, H. Strömberg and M. Karlsson. Levels of What? Investigating Drivers' Understanding of Different Levels of Automation in Vehicles. Journal of Cognitive Engineering and Decision Making, 15(2-3):116-132, 2021 [ BibTeX | DiVA ] |
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M. Mazzara, N. Dragoni, A. Bucchiarone, A. Giaretta, S. T. Larsen and S. Dustdar. Microservices : Migration of a Mission Critical System. IEEE Transactions on Services Computing, 14(5):1464-1477, 2021 [ BibTeX | DiVA ] |
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G. Chimamiwa, M. Alirezaie, F. Pecora and A. Loutfi. Multi-sensor dataset of human activities in a smart home environment. Data in Brief, 34, 2021 [ BibTeX | DiVA ] |
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R. Manhaeve, S. Dumančić, A. Kimmig, T. Demeester and L. De Raedt. Neural probabilistic logic programming in DeepProbLog. Artificial Intelligence, 298, 2021 [ BibTeX | DiVA ] |
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A. Karlsson, W. Stassen, A. Loutfi, U. M. Wallgren, E. Larsson and L. Kurland. Predicting mortality among septic patients presenting to the emergency department-a cross sectional analysis using machine learning. BMC Emergency Medicine, 21(1), 2021 [ BibTeX | DiVA ] |
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N. Akalin and A. Loutfi. Reinforcement Learning Approaches in Social Robotics. Sensors, 21(4), 2021 [ BibTeX | DiVA ] |
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M. Johansson, M. Mullart Söderholm, F. Novakazi and A. Rydström. The Decline of User Experience in Transition from Automated Driving to Manual Driving. Information, 12(3), 2021 [ BibTeX | DiVA ] |
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F. Novakazi, M. Johansson, G. Erhardsson and L. Lidander. Who's in charge? The influence of perceived control on responsibility and mode awareness in driving automation. Information technology, 63(2):77-85, 2021 [ BibTeX | DiVA ] |
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L. Morillo-Mendez, M. G. S. Schrooten, A. Loutfi and O. Martinez Mozos. Age-Related Differences in the Perception of Eye-Gaze from a Social Robot. In Social Robotics : 13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings, 13086(13086 LNCS):350-361, 2021 [ BibTeX | DiVA ] |
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R. Manhaeve, G. Marra and L. De Raedt. Approximate Inference for Neural Probabilistic Logic Programming. In Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning : Special Session on KR and Machine Learning, pages 475-486, 2021 [ BibTeX | DiVA ] |
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M. Kumar, S. Kolb, C. Gautrais and L. De Raedt. Democratizing Constraint Satisfaction Problems through Machine Learning. In Proceedings of the AAAI Conference on Artificial Intelligence, 35:18(35(18)):16057-16059, 2021 [ BibTeX | DiVA ] |
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L. De Raedt, S. Dumancic, R. Manhaeve and G. Marra. From Statistical Relational to Neuro-Symbolic Artificial Intelligence. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, pages 4943-4950, 2021 [ BibTeX | DiVA ] |
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C. Diao, D. Kleyko, J. M. Rabaey and B. A. Olshausen. Generalized learning vector quantization for classification in randomized neural networks and hyperdimensional computing. In 2021 International Joint Conference on Neural Networks (IJCNN), pages 1-9, 2021 [ BibTeX | DiVA ] |
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A. Rosato, M. Panella and D. Kleyko. Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. In 2021 International Joint Conference on Neural Networks (IJCNN) : Proceedings 2021 [ BibTeX | DiVA ] |
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P. Alonso, K. Shridhar, D. Kleyko, E. Osipov and M. Liwicki. HyperEmbed : Tradeoffs between resources and performance in NLP Tasks with hyperdimensional computing enabled embedding of n-gram statistics. In 2021 International Joint Conference on Neural Networks (IJCNN) : Proceedings 2021 [ BibTeX | DiVA ] |
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A. Jain, C. Gautrais, A. Kimmig and L. De Raedt. Learning CNF Theories Using MDL and Predicate Invention. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, pages 2599-2605, 2021 [ BibTeX | DiVA ] |
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A. Rosato, M. Panella, E. Osipov and D. Kleyko. On effects of compression with hyperdimensional computing in distributed randomized neural networks. In Advances in Computational Intelligence : 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II, 12862:155-167, 2021 [ BibTeX | DiVA ] |
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N. Akalin, M. Krakovsky, O. Avioz-Sarig, A. Loutfi and Y. Edan. Robot-Assisted Training with Swedish and Israeli Older Adults. In Social Robotics : 13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings, pages 487-496, 2021 [ BibTeX | DiVA ] |
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T. P. Kucner, M. Luperto, S. Lowry, M. Magnusson and A. Lilienthal. Robust Frequency-Based Structure Extraction. In 2021 IEEE International Conference on Robotics and Automation (ICRA), pages 1715-1721, 2021 [ BibTeX | DiVA | PDF ] |
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M. D. Thomsen, A. Giaretta and N. Dragoni. Smart Lamp or Security Camera? Automatic Identification of IoT Devices. In Selected Papers from the 12th International Networking Conference, pages 85-99, 2021 [ BibTeX | DiVA ] |
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F. Klügl and S. Timpf. Towards More Explicit Interaction Modelling in Agent-Based Simulation Using Affordance Schemata. In KI 2021: Advances in Artificial Intelligence : 44th German Conference on AI, Virtual Event, September 27 – October 1, 2021, Proceedings, pages 324-337, 2021 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov and U. Wiklund. A comprehensive study of complexity and performance of automatic detection of atrial fibrillation : Classification of long ECG recordings based on the PhysioNet computing in cardiology challenge 2017. Biomedical Engineering & Physics Express, 6(2), 2020 [ BibTeX | DiVA ] |
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D. Sun, A. Kiselev, Q. Liao, T. Stoyanov and A. Loutfi. A New Mixed Reality - based Teleoperation System for Telepresence and Maneuverability Enhancement. IEEE Transactions on Human-Machine Systems, 50(1):55-67, 2020 [ BibTeX | DiVA | PDF ] |
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H. Sjöqvist, M. Längkvist and F. Javed. An Analysis of Fast Learning Methods for Classifying Forest Cover Types. Applied Artificial Intelligence, 34(10):691-709, 2020 [ BibTeX | DiVA ] |
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D. Rutqvist, D. Kleyko and F. Blomstedt. An automated machine learning approach for smart waste management systems. IEEE Transactions on Industrial Informatics, 16(1):384-392, 2020 [ BibTeX | DiVA ] |
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D. Kleyko, A. Rahimi, R. W. Gayler and E. Osipov. Autoscaling bloom filter : controlling trade-off between true and false positives. Neural Computing & Applications, 32(8):3675-3684, 2020 [ BibTeX | DiVA ] |
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L. Herskind, A. Giaretta, M. De Donno and N. Dragoni. BitFlow : Enabling Real‐time Cash‐flow Evaluations through Blockchain. Concurrency and Computation, 32(12), 2020 [ BibTeX | DiVA ] |
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D. Kleyko, R. W. Gayler and E. Osipov. Commentaries on Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception [Science Robotics Vol. 4 Issue 30 (2019) 1-10. 2020 [ BibTeX | DiVA ] |
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J. Orlovska, F. Novakazi, L. O. Blig\aard, M. Karlsson, C. Wickman and R. Söderberg. Effects of the driving context on the usage of Automated Driver Assistance Systems (ADAS)-Naturalistic Driving Study for ADAS evaluation. Transportation Research Interdisciplinary Perspectives, 4, 2020 [ BibTeX | DiVA ] |
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U. Köckemann, M. Alirezaie, J. Renoux, N. Tsiftes, M. U. Ahmed, D. Morberg, M. Lindén and A. Loutfi. Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes. Sensors, 20(3), 2020 [ BibTeX | DiVA | PDF ] |
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S. Kolb, S. Teso, A. Dries and L. De Raedt. Predictive spreadsheet autocompletion with constraints. Machine Learning, 109(2):307-325, 2020 [ BibTeX | DiVA ] |
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V. Belle and L. De Raedt. Semiring programming : A semantic framework for generalized sum product problems. International Journal of Approximate Reasoning, 126:181-201, 2020 [ BibTeX | DiVA ] |
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D. Sun, Q. Liao, A. Kiselev, T. Stoyanov and A. Loutfi. Shared mixed reality-bilateral telerobotic system. Robotics and Autonomous Systems, 134, 2020 [ BibTeX | DiVA ] |
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D. Sun, Q. Liao and A. Loutfi. Single Master Bimanual Teleoperation System with Efficient Regulation. IEEE Transactions on robotics, 36(4):1022-1037, 2020 [ BibTeX | DiVA | PDF ] |
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F. Novakazi, J. Orlovska, L. O. Blig\aard and C. Wickman. Stepping over the threshold linking understanding and usage of Automated Driver Assistance Systems (ADAS). Transportation Research Interdisciplinary Perspectives, 8, 2020 [ BibTeX | DiVA ] |
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P. Zuidberg Dos Martires, N. Kumar, A. Persson, A. Loutfi and L. De Raedt. Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring. Frontiers in Robotics and AI, 7, 2020 [ BibTeX | DiVA ] |
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S. Ackum, T. Borg, P. Braunerhjelm, L. Calmfors, K. Eklund, . Hansson, L. Hultkrantz, A. Loutfi, O. Nordström Skans and M. Wetterstrand. Vi tar fram en handfast plan för en omstart av Sverige. Dagens Nyheter 2020 [ BibTeX | DiVA ] |
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J. Renoux, M. Luperto, N. Basilico, M. Romeo, M. Milis, F. Lunardini, S. Ferrante, A. Loutfi and N. A. Borghese. A Virtual Caregiver for Assisted Daily Living of Pre-Frail Users. In KI 2020: Advances in Artificial Intelligence : 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020, Proceedings, pages 176-189, 2020 [ BibTeX | DiVA | PDF ] |
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C. Landin, S. Tahvili, H. Haggren, M. Längkvist, A. Muhammad and A. Loutfi. Cluster-Based Parallel Testing Using Semantic Analysis. In 2020 IEEE International Conference On Artificial Intelligence Testing (AITest), pages 99-106, 2020 [ BibTeX | DiVA ] |
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H. Jain, A. Agarwal, K. Shridhar and D. Kleyko. End to end binarized neural networks for text classification. , pages 29-34, 2020 [ BibTeX | DiVA ] |
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A. L. C. Bazzan and F. Klügl. Experience Sharing in a Traffic Scenario. In ATT2020 Agents in Traffic and Transportation : Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago de Compostela, Spain, September 4, 2020., pages 71-78, 2020 [ BibTeX | DiVA | PDF ] |
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H. Banaee, G. Chimamiwa, M. Alirezaie and A. Loutfi. Explaining Habits and Changes of Activities in Smart Homes. 2020 [ BibTeX | DiVA | PDF ] |
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S. Kolb, P. Z. Dos Martires and L. De Raedt. How to Exploit Structure while Solving Weighted Model Integration Problems. In UAI 2019 Proceedings, 262:744-754, 2020 [ BibTeX | DiVA ] |
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G. Matthíasson, A. Giaretta and N. Dragoni. IoT Device Profiling : From MUD Files to S×C Contracts. In Open Identity Summit 2020, pages 143-154, 2020 [ BibTeX | DiVA ] |
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M. Längkvist, A. Persson and A. Loutfi. Learning Generative Image Manipulations from Language Instructions. 2020 [ BibTeX | DiVA | PDF ] |
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V. Derkinderen, E. Heylen, P. Zuidberg Dos Martires, S. Kolb and L. De Raedt. Ordering Variables for Weighted Model Integration. In Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI), 124(124):879-888, 2020 [ BibTeX | DiVA ] |
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C. Landin, L. Hatvani, S. Tahvili, H. Haggren, M. Längkvist, A. Loutfi and A. H\aakansson. Performance Comparison of Two Deep Learning Algorithms in Detecting Similarities Between Manual Integration Test Cases. In The Fifteenth International Conference on Software Engineering Advances, pages 90-97, 2020 [ BibTeX | DiVA | PDF ] |
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S. Olatunji, A. Potenza, T. Oron-Gilad, A. Kiselev, A. Loutfi and Y. Edan. Usability Testing for the Operation of a Mobile Robotic Telepresence System by Older Adults. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(64:1):1191-1195, 2020 [ BibTeX | DiVA | PDF ] |
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G. Sigurdsson, A. Giaretta and N. Dragoni. Vulnerabilities and Security Breaches in Cryptocurrencies. In Proceedings of 6th International Conference in Software Engineering for Defence Applications 2020 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov and U. Wiklund. A hyperdimensional computing framework for analysis of cardiorespiratory synchronization during paced deep breathing. IEEE Access, 7:34403-34415, 2019 [ BibTeX | DiVA ] |
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S. Krishna, A. Kiselev, A. Kristoffersson, D. Repsilber and A. Loutfi. A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera. Sensors, 19(14), 2019 [ BibTeX | DiVA ] |
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D. Sun, Q. Liao, T. Stoyanov, A. Kiselev and A. Loutfi. Bilateral telerobotic system using Type-2 fuzzy neural network based moving horizon estimation force observer for enhancement of environmental force compliance and human perception. Automatica, 106:358-373, 2019 [ BibTeX | DiVA ] |
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M. De Donno, A. Giaretta, N. Dragoni, A. Bucchiarone and M. Mazzara. Cyber-Storms Come from Clouds : Security of Cloud Computing in the IoT Era. Future Internet, 11(6), 2019 [ BibTeX | DiVA ] |
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S. Krishna, A. Kristoffersson, A. Kiselev and A. Loutfi. F-Formations for Social Interaction in Simulation Using Virtual Agents and Mobile Robotic Telepresence Systems. Multimodal Technologies and Interaction, 3(4), 2019 [ BibTeX | DiVA ] |
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A. Giaretta, N. Dragoni and F. Massacci. IoT Security Configurability with Security-by-Contract. Sensors, 19(19), 2019 [ BibTeX | DiVA ] |
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P. V. Krasheninnikov, O. G. Melent’ev, D. Kleyko and A. G. Shapin. Parameter estimation for the resulting logical channel formed by minimizing channel switching. Automation and remote control, 80(2):278-285, 2019 [ BibTeX | DiVA ] |
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N. Lyamin, D. Kleyko, Q. Delooz and A. Vinel. Real-Time jamming DoS Detection in Safety-Critical V2V C-ITS using data mining. IEEE Communications Letters, 23(3):442-445, 2019 [ BibTeX | DiVA ] |
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A. Groß, B. Kracher, J. M. Kraus, S. D. Kühlwein, A. S. Pfister, S. Wiese, K. Luckert, O. Pötz, T. Joos, D. Van Daele, L. De Raedt, M. Kühl and H. A. Kestler. Representing Dynamic Biological Networks With Multi-Scale Probabilistic Models. Communications Biology, 2, 2019 [ BibTeX | DiVA ] |
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L. Antanas, P. Moreno, M. Neumann, R. Pimentel de Figueiredo, K. Kersting, J. Santos-Victor and L. De Raedt. Semantic and geometric reasoning for robotic grasping : a probabilistic logic approach. Autonomous Robots, 43(6):1393-1418, 2019 [ BibTeX | DiVA ] |
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M. Alirezaie, M. Längkvist, M. Sioutis and A. Loutfi. Semantic Referee : A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation. Semantic Web, 10(5):863-880, 2019 [ BibTeX | DiVA ] |
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N. Akalin, A. Kristoffersson and A. Loutfi. The Influence of Feedback Type in Robot-Assisted Training. Multimodal Technologies and Interaction, 3(4), 2019 [ BibTeX | DiVA ] |
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D. Adolfsson, S. Lowry, M. Magnusson, A. J. Lilienthal and H. Andreasson. A Submap per Perspective : Selecting Subsets for SuPer Mapping that Afford Superior Localization Quality. In 2019 European Conference on Mobile Robots (ECMR) 2019 [ BibTeX | DiVA | PDF ] |
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M. Kumar, S. Teso, P. De Causmaecker and L. De Raedt. Automating Personnel Rostering by Learning Constraints Using Tensors. In Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, pages 697-704, 2019 [ BibTeX | DiVA ] |
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B. S. Onggo, L. Yilmaz, F. Klügl, T. Terano and C. M. MacAl. Credible Agent-Based Simulation : An Illusion or only A Step Away. In Proceedings : Winter Simulation Conference, pages 273-284, 2019 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, D. De Silva, U. Wiklund, V. Vyatkin and D. Alahakoon. Distributed representation of n-gram statistics for boosting self-organizing maps with hyperdimensional computing. In Perspectives of system informatics : 12th International Andrei P. Ershov Informatics Conference, PSI 2019, Novosibirsk, Russia, July 2–5, 2019, Revised Selected Papers, pages 64-79, 2019 [ BibTeX | DiVA ] |
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S. Krishna, A. Kristoffersson, A. Kiselev and A. Loutfi. Estimating Optimal Placement for a Robot in Social Group Interaction. In IEEE International Workshop on Robot and Human Communication (ROMAN) 2019 [ BibTeX | DiVA | PDF ] |
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H. Edebol-Carlman, J. Rode, J. König, A. Hutchinson, D. Repsilber, A. Kiselev, P. Thunberg, L. Lathrop Stern, J. Labus and R. J. Brummer. Evaluating the effects of probiotic intake on brain activity during an emotional attention task and blood markers related to stress in healthy subjects. 2019 [ BibTeX | DiVA ] |
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P. Zuidberg Dos Martires, A. Dries and L. De Raedt. Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. In Proceedings of the AAAI Conference on Artificial Intelligence, 33:1(33:1):7825-7833, 2019 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, D. De Silva, U. Wiklund and D. Alahakoon. Integer Self-Organizing Maps for Digital Hardware. In 2019 International Joint Conference on Neural Networks (IJCNN) 2019 [ BibTeX | DiVA ] |
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O. A. Can, P. Zuidberg Dos Martires, A. Persson, J. Gaal, A. Loutfi, L. De Raedt, D. Yuret and A. Saffiotti. Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations. In Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP), pages 29-39, 2019 [ BibTeX | DiVA ] |
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N. Karvonen, J. Nilsson, D. Kleyko and L. L. Jimenez. Low-Power classification using FPGA : An approach based on cellular automata, neural networks, and hyperdimensional computing. In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), pages 370-375, 2019 [ BibTeX | DiVA ] |
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A. Giaretta, N. Dragoni and F. Massacci. Protecting the Internet of Things with Security-by-Contract and Fog Computing. In 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) 2019 [ BibTeX | DiVA ] |
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F. Novakazi. Semi-Autonomous Drive and its Effect on Mode Awareness and User Experience. In ECCE '19: Proceedings of the 31st European Conference on Cognitive Ergonomics, pages 23-25, 2019 [ BibTeX | DiVA ] |
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S. Lowry. Similarity criteria : evaluating perceptual change for visual localization. In 2019 European Conference on Mobile Robots (ECMR) 2019 [ BibTeX | DiVA | PDF ] |
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S. Kolb, P. Morettin, P. Zuidberg Dos Martires, F. Sommavilla, A. Passerini, R. Sebastiani and L. De Raedt. The pywmi framework and toolbox for probabilistic inference using weighted model integration. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, pages 6530-6532, 2019 [ BibTeX | DiVA ] |
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G. Chimamiwa, M. Alirezaie, H. Banaee, U. Köckemann and A. Loutfi. Towards Habit Recognition in Smart Homes for People with Dementia. In Ambient Intelligence : 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings, 11912(11912):363-369, 2019 [ BibTeX | DiVA ] |
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T. Bandaragoda, D. De Silva, D. Kleyko, E. Osipov, U. Wiklund and D. Alahakoon. Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pages 1664-1670, 2019 [ BibTeX | DiVA ] |
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A. Giaretta, S. Pepe and N. Dragoni. UniquID : A Quest to Reconcile Identity Access Management and the IoT. In Software Technology : Methods and Tools, pages 237-251, 2019 [ BibTeX | DiVA ] |
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E. P. Frady, D. Kleyko and F. T. Sommer. A theory of sequence indexing and working memory in recurrent neural networks. Neural Computation, 30(6):1449-1513, 2018 [ BibTeX | DiVA ] |
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N. Lyamin, D. Kleyko, Q. Delooz and A. Vinel. AI-based malicious network traffic detection in VANETs. IEEE Network, 32(6):15-21, 2018 [ BibTeX | DiVA ] |
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D. Kleyko, A. Rahimi, D. A. Rachkovskij, E. Osipov and J. M. Rabaey. Classification and recall with binary hyperdimensional computing : Tradeoffs in choice of density and nmapping characteristics. IEEE Transactions on Neural Networks and Learning Systems, 29(12):5880-5898, 2018 [ BibTeX | DiVA ] |
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M. Längkvist, J. Jendeberg, P. Thunberg, A. Loutfi and M. Lidén. Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks. Computers in Biology and Medicine, 97:153-160, 2018 [ BibTeX | DiVA ] |
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H. Banaee, E. Schaffernicht and A. Loutfi. Data-Driven Conceptual Spaces : Creating Semantic Representations for Linguistic Descriptions of Numerical Data. The journal of artificial intelligence research, 63:691-742, 2018 [ BibTeX | DiVA | PDF ] |
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M. De Donno, N. Dragoni, A. Giaretta and A. Spognardi. DDoS-Capable IoT Malwares : Comparative Analysis and Mirai Investigation. Security and Communication Networks 2018 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, N. Papakonstantinou and V. Vyatkin. Hyperdimensional computing in industrial systems : The use-case of distributed fault isolation in a power plant. IEEE Access, 6:30766-30777, 2018 [ BibTeX | DiVA ] |
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S. Lowry and H. Andreasson. Lightweight, Viewpoint-Invariant Visual Place Recognition in Changing Environments. IEEE Robotics and Automation Letters, 3(2):957-964, 2018 [ BibTeX | DiVA ] |
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B. Moldovan, P. Moreno, D. Nitti, J. Santos-Victor and L. De Raedt. Relational affordances for multiple-object manipulation. Autonomous Robots, 42(1):19-44, 2018 [ BibTeX | DiVA ] |
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D. Wedekind, D. Kleyko, E. Osipov, H. Malberg, S. Zaunseder and U. Wiklund. Robust methods for automated selection of cardiac signals after blind source separation. IEEE Transactions on Biomedical Engineering, 65(10):2248-2258, 2018 [ BibTeX | DiVA ] |
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N. Karvonen and D. Kleyko. A domain knowledge-based solution for human activity recognition : The UJA Dataset Analysis. In Proceedings, 2018, UCAmI 2018, 2(2(19)):1-8, 2018 [ BibTeX | DiVA | PDF ] |
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M. Alirezaie, M. Längkvist, M. Sioutis and A. Loutfi. A Symbolic Approach for Explaining Errors in Image Classification Tasks. 2018 [ BibTeX | DiVA ] |
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A. Giaretta, M. De Donno and N. Dragoni. Adding Salt to Pepper : A Structured Security Assessment over a Humanoid Robot. In Proceedings of the 13th International Conference on Availability, Reliability and Security 2018 [ BibTeX | DiVA ] |
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M. De Donno, N. Dragoni, A. Giaretta and M. Mazzara. AntibIoTic : Protecting IoT Devices Against DDoS Attacks. In Proceedings of 5th International Conference in Software Engineering for Defence Applications : SEDA 2016, pages 59-72, 2018 [ BibTeX | DiVA ] |
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F. Klügl and S. Timpf. Approaching Interactions in Agent-Based Modelling with an Affordance Perspective. In Engineering Multi-Agent Systems, pages 21-37, 2018 [ BibTeX | DiVA ] |
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T. Stoyanov, R. Krug, A. Kiselev, D. Sun and A. Loutfi. Assisted Telemanipulation : A Stack-Of-Tasks Approach to Remote Manipulator Control. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 6640-6645, 2018 [ BibTeX | DiVA ] |
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G. Verbruggen and L. De Raedt. Automatically Wrangling Spreadsheets into Machine Learning Data Formats. In Advances in Intelligent Data Analysis XVII, pages 367-379, 2018 [ BibTeX | DiVA ] |
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M. Kumar, S. Teso, P. De Causmaecker and L. De Raedt. Automating Personnel Rostering by Learning Constraints Using Tensors. 2018 [ BibTeX | DiVA ] |
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A. Giaretta and N. Dragoni. Community Targeted Phishing : A Middle Ground Between Massive and Spear Phishing through Natural Language Generation. 2018 [ BibTeX | DiVA ] |
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R. Manhaeve, S. Dumancic, A. Kimmig, T. Demeester and L. De Raedt. DeepProbLog : Neural Probabilistic Logic Programming. In Advances in Neural Information Processing Systems 31 (NIPS 2018), pages 3753-3760, 2018 [ BibTeX | DiVA ] |
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A. Abdukalikova, D. Kleyko, E. Osipov and U. Wiklund. Detection of atrial fibrillation from short ECGs : Minimalistic complexity analysis for feature-based classifiers. In Computing in Cardiology 2018 : Proceedings, 45(45), 2018 [ BibTeX | DiVA ] |
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M. Lidén, J. Jendeberg, M. Längkvist, A. Loutfi and P. Thunberg. Discrimination between distal ureteral stones and pelvic phleboliths in CT using a deep neural network : more than local features needed. 2018 [ BibTeX | DiVA ] |
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L. De Raedt, H. Blockeel, S. Kolb, S. Teso and G. Verbruggen. Elements of an Automatic Data Scientist. In Advances in Intelligent Data Analysis XVII, 11191(11191), 2018 [ BibTeX | DiVA ] |
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N. Akalin, A. Kiselev, A. Kristoffersson and A. Loutfi. Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning.. In Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction, 2018, pages 48-50, 2018 [ BibTeX | DiVA | PDF ] |
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D. Adolfsson, S. Lowry and H. Andreasson. Improving Localisation Accuracy using Submaps in warehouses. 2018 [ BibTeX | DiVA | PDF ] |
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U. Köckemann, N. Tsiftes and A. Loutfi. Integrating Constraint-based Planning with LwM2M for IoT Network Scheduling. 2018 [ BibTeX | DiVA ] |
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U. Köckemann, M. Alirezaie, L. Karlsson and A. Loutfi. Integrating Ontologies for Context-based Constraint-based Planning. In MRC 2018 : Modelling and Reasoning in Context, pages 22-29, 2018 [ BibTeX | DiVA | PDF ] |
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S. Shahin Moghadam, F. Klügl and F. Prenkert. Investigating the Cannibalizing Effect in a Two-Market Situation Using Agent-Based Simulation. , 51:2:115-120, 2018 [ BibTeX | DiVA ] |
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A. Giaretta, N. Dragoni and M. Mazzara. Joining Jolie to Docker : Orchestration of Microservices on a Containers-as-a-Service Layer. In Proceedings of 5th International Conference in Software Engineering for Defence Applications : SEDA 2016, pages 167-175, 2018 [ BibTeX | DiVA ] |
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L. De Raedt, A. Passerini and S. Teso. Learning Constraints from Examples. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, Thirtieth Innovative Applications of Artificial Intelligence Conference, Eigth Symposium on Educational Advances in Artificial Intelligence : 2-7 February 2018, New Orleans, Louisiana, USA, pages 7965-7970, 2018 [ BibTeX | DiVA ] |
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S. Kolb, S. Teso, A. Passerini and L. De Raedt. Learning SMT(LRA) Constraints using SMT Solvers. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pages 2333-2340, 2018 [ BibTeX | DiVA ] |
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S. Lowry and H. Andreasson. LOGOS : Local geometric support for high-outlier spatial verification. , pages 7262-7269, 2018 [ BibTeX | DiVA ] |
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D. Kleyko and E. Osipov. No two brains are alike : cloning a hyperdimensional associative memory using cellular automata computations. In Biologically Inspired Cognitive Architectures (BICA) for Young Scientists : Proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017), pages 91-100, 2018 [ BibTeX | DiVA ] |
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J. Renoux, U. Köckemann and A. Loutfi. Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning. In Ambient Intelligence, 11249(11249):74-89, 2018 [ BibTeX | DiVA ] |
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L. Antanas, A. Dries, P. Moreno and L. De Raedt. Relational Affordance Learning for Task-Dependent Robot Grasping. In Inductive Logic Programming : 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers, 10759(10759):1-15, 2018 [ BibTeX | DiVA ] |
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S. Shahin Moghadam, F. Prenkert and F. Klügl. Role and Position Dynamics in Business Networks : Using an Agent-Based Model to Simulate the Impact of a New Market Solution on a Focal Actor’s Role and Position. 2018 [ BibTeX | DiVA ] |
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A. Vuono, M. Luperto, J. Banfi, N. Basilico, N. A. Borghese, M. Sioutis, J. Renoux and A. Loutfi. Seeking Prevention of Cognitive Decline in Elders via Activity Suggestion by A Virtual Caregiver. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18), pages 1835-1837, 2018 [ BibTeX | DiVA ] |
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J. Renoux and F. Klügl. Simulating Daily Activities in a Smart Home for Data Generation. In 2018 Winter Simulation Conference (WSC), pages 798-809, 2018 [ BibTeX | DiVA ] |
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S. Paramonov, C. Bessiere, A. Dries and L. De Raedt. Sketched Answer Set Programming. In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), pages 694-701, 2018 [ BibTeX | DiVA ] |
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N. Dragoni, A. Giaretta and M. Mazzara. The Internet of Hackable Things. In Proceedings of 5th International Conference in Software Engineering for Defence Applications : SEDA 2016, pages 129-140, 2018 [ BibTeX | DiVA ] |
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N. Akalin, A. Kiselev, A. Kristoffersson and A. Loutfi. The Relevance of Social Cues in Assistive Training with a Social Robot. In 10th International Conference on Social Robotics, ICSR 2018, Proceedings, pages 462-471, 2018 [ BibTeX | DiVA | PDF ] |
[1] |
A. Kimmig, G. Van den Broeck and L. De Raedt. Algebraic Model Counting. Journal of Applied Logic, 22:46-62, 2017 [ BibTeX | DiVA ] |
[2] |
M. Alirezaie, J. Renoux, U. Köckemann, A. Kristoffersson, L. Karlsson, E. Blomqvist, N. Tsiftes, T. Voigt and A. Loutfi. An Ontology-based Context-aware System for Smart Homes : E-care@home. Sensors, 17(7), 2017 [ BibTeX | DiVA | PDF ] |
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M. Alirezaie, A. Kiselev, M. Längkvist, F. Klügl and A. Loutfi. An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring. Sensors, 17(11), 2017 [ BibTeX | DiVA | PDF ] |
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J. Oramas, L. De Raedt and T. Tuytelaars. Context-based Object Viewpoint Estimation : A 2D Relational Approach. Computer Vision and Image Understanding, 160:100-113, 2017 [ BibTeX | DiVA ] |
[5] |
L. De Raedt, M. Bui, Y. Deville and T. Dieu-Linh. Editors' Introduction to the Special Issue on ‟Information and Communication Technology”. Informatica - journal of computing and informatics, 41(2):131-131, 2017 [ BibTeX | DiVA ] |
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V. Dzyuba, M. van Leeuwen and L. De Raedt. Flexible constrained sampling with guarantees for pattern mining. Data mining and knowledge discovery, 31:1266-1293, 2017 [ BibTeX | DiVA ] |
[7] |
A. Rahimi, S. Datta, D. Kleyko, E. P. Frady, B. Olshausen, P. Kanerva and J. M. Rabaey. High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 64(9):2508-2521, 2017 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, A. Senior, A. I. Khan and Y. A. Sekercioglu. Holographic graph neuron : A bioinspired architecture for pattern processing. IEEE Transactions on Neural Networks and Learning Systems, 28(6):1250-1262, 2017 [ BibTeX | DiVA ] |
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F. Orsini, P. Frasconi and L. De Raedt. kProbLog : an algebraic Prolog for machine learning. Machine Learning, pages 1933-1969, 2017 [ BibTeX | DiVA ] |
[11] |
S. Kolb, S. Paramonov, T. Guns and L. De Raedt. Learning constraints in spreadsheets and tabular data. Machine Learning, pages 1441-1468, 2017 [ BibTeX | DiVA ] |
[12] |
T. Guns, A. Dries, S. Nijssen, G. Tack and L. De Raedt. MiningZinc : A declarative framework for constraint-based mining. Artificial Intelligence, 244:6-29, 2017 [ BibTeX | DiVA ] |
[13] |
V. I. Grytsenko, D. A. Rachkovskij, A. A. Frolov, R. Gayler, D. Kleyko and E. Osipov. Neural distributed autoassociative memories : A survey. Cybernetics and Computer Engineering, 188(2):5-35, 2017 [ BibTeX | DiVA ] |
[14] |
D. Nitti, V. Belle, T. Laet and L. De Raedt. Planning in hybrid relational MDPs. Machine Learning, 106(12):1905-1932, 2017 [ BibTeX | DiVA ] |
[15] |
S. Paramonov, M. van Leeuwen and L. De Raedt. Relational data factorization. Machine Learning, 106(12):1867-1904, 2017 [ BibTeX | DiVA ] |
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T. Le Van, S. Nijssen, M. van Leeuwen and L. De Raedt. Semiring Rank Matrix Factorization. IEEE Transactions on Knowledge and Data Engineering, 29(8):1737-1750, 2017 [ BibTeX | DiVA ] |
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C. Bessiere, L. De Raedt, T. Guns, L. Kotthoff, M. Nanni, S. Nijssen, B. O’Sullivan, A. Paparrizou, D. Pedreschi and H. Simonis. The Inductive Constraint Programming Loop. IEEE Intelligent Systems, 32(5):44-52, 2017 [ BibTeX | DiVA ] |
[1] |
M. De Donno, A. Giaretta, N. Dragoni and A. Spognardi. A Taxonomy of Distributed Denial of Service Attacks. In i-Society 2017 : Proceedings, pages 99-106, 2017 [ BibTeX | DiVA ] |
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N. Akalin, A. Kiselev, A. Kristoffersson and A. Loutfi. An Evaluation Tool of the Effect of Robots in Eldercare on the Sense of Safety and Security. In Social Robotics : 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings, pages 628-637, 2017 [ BibTeX | DiVA | PDF ] |
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M. De Donno, N. Dragoni, A. Giaretta and A. Spognardi. Analysis of DDoS-Capable IoT Malwares. In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, pages 807-816, 2017 [ BibTeX | DiVA ] |
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F. Klügl and S. Timpf. Approaching Interactions in Agent-Based Modelling with an Affordance Perspective. In Autonomous Agents and Multiagent Systems : AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers, pages 222-238, 2017 [ BibTeX | DiVA ] |
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L. De Raedt. Constraint Learning and Dynamic Probabilistic Programming. In Formal methods and machine learning 2017 [ BibTeX | DiVA ] |
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J. Renoux, M. Alirezaie, L. Karlsson, U. Köckemann, F. Pecora and A. Loutfi. Context Recognition in Multiple Occupants Situations : Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. In Knowledge-based techniques for problem solving and reasoning(KnowProS 2017) : A workshop at AAAI 2017, February 5, 2017, San Francisco, U.S.A., ws17:758-764, 2017 [ BibTeX | DiVA | PDF ] |
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S. K. Pathi, A. Kiselev and A. Loutfi. Estimating F-Formations for Mobile Robotic Telepresence. In Estimating F-Formations for Mobile Robotic Telepresence, pages 255-256, 2017 [ BibTeX | DiVA ] |
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M. Alirezaie, A. Kiselev, F. Klügl, M. Längkvist and A. Loutfi. Exploiting Context and Semantics for UAV Path-finding in an Urban Setting. In Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics (AnSWeR 2017), Portoroz, Slovenia, May 29th, 2017, pages 11-20, 2017 [ BibTeX | DiVA | PDF ] |
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L. De Raedt. Learning constraints and formula's for spreadsheets. In Approaches and Applications of Inductive Programming 2017 [ BibTeX | DiVA ] |
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S. Kolb, S. Paramonov, T. Guns and L. De Raedt. Learning constraints in spreadsheets and tabular data. 2017 [ BibTeX | DiVA ] |
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D. Kleyko, S. Khan, E. Osipov and S. P. Yong. Modality classification of medical images with distributed representations based on cellular automata reservoir computing. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) : Proceedings, pages 1053-1056, 2017 [ BibTeX | DiVA ] |
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A. Kimming and L. De Raedt. Probabilistic Logic Programs : Unifying Program Trace and Possible World Semantics. 2017 [ BibTeX | DiVA ] |
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L. De Raedt. Probabilistic Programming and its Applications. In KI 2017: Advances in Artificial Intelligence : 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings 2017 [ BibTeX | DiVA ] |
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A. Dries, J. Davis, V. Belle and L. De Raedt. Solving Probability Problems in Natural Language. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pages 3981-3987, 2017 [ BibTeX | DiVA ] |
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B. Babaki, T. Guns and L. De Raedt. Stochastic Constraint Programming with And-Or Branch-and-Bound. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pages 539-545, 2017 [ BibTeX | DiVA ] |
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S. Paramonov, S. Kolb, T. Guns and L. De Raedt. TaCLe : Learning Constraints in Tabular Data. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pages 2511-2514, 2017 [ BibTeX | DiVA ] |
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S. Krishna, A. Kiselev and A. Loutfi. Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups. In Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups 2017 [ BibTeX | DiVA | PDF ] |
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G. Verbruggen and L. De Raedt. Towards automated relational data wrangling. In Proceedings of AutoML2017 @ ECML-PKDD: Automatic selection, configuration and composition of machine learning algorithms, 1998:18-26, 2017 [ BibTeX | DiVA ] |
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A. Kiselev, A. Potenza, B. Bruno and A. Loutfi. Towards Seamless Autonomous Function Handovers in Human-Robot Teams. 2017 [ BibTeX | DiVA | PDF ] |
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A. Potenza, A. Kiselev, A. Loutfi and A. Saffiotti. Towards Sliding Autonomy in Mobile Robotic Telepresence : A Position Paper. 2017 [ BibTeX | DiVA | PDF ] |
[1] |
E. Osipov, D. Kleyko and A. Shapin. An approach for self-adaptive path loss modelling for positioning in underground environments. International Journal of Antennas and Propagation 2016 [ BibTeX | DiVA ] |
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G. Koshmak, A. Loutfi and M. Linden. Challenges and Issues in Multisensor Fusion Approach for Fall Detection : Review Paper. Journal of Sensors 2016 [ BibTeX | DiVA ] |
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M. Längkvist, A. Kiselev, M. Alirezaie and A. Loutfi. Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks. Remote Sensing, 8(4), 2016 [ BibTeX | DiVA ] |
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L. De Raedt, Y. Deville, M. Bui and D. L. Truong. Editors' Introduction to the Special Issue on : The Sixth International Symposium on Information and Communication Technology - SoICT 2015. Informatica, 40(2):157-157, 2016 [ BibTeX | DiVA ] |
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A. Orlandini, A. Kristoffersson, L. Almquist, P. Björkman, A. Cesta, G. Cortellessa, C. Galindo, J. Gonzalez-Jimenez, K. Gustafsson, A. Kiselev, A. Loutfi, F. Melendez, M. Nilsson, L. Odens Hedman, E. Odontidou, J. R. Ruiz-Sarmiento, M. Scherlund, L. Tiberio, S. von Rump and S. Coradeschi. ExCITE Project : A Review of Forty-Two Months of Robotic Telepresence Technology. Presence - Teleoperators and Virtual Environments, 25(3):204-221, 2016 [ BibTeX | DiVA | PDF ] |
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J. Vlasselaer, W. Meert, G. Van den Broeck and L. De Raedt. Exploiting local and repeated structure in Dynamic Bayesian Networks. Artificial Intelligence, 232:43-53, 2016 [ BibTeX | DiVA ] |
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D. De Maeyer, B. Weytjens, L. De Raedt and K. Marchal. Network-Based Analysis of eQTL Data to Prioritize Driver Mutations. Genome Biology and Evolution, 23;8(3):481-494, 2016 [ BibTeX | DiVA ] |
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D. Nitti, T. De Laet and L. De Raedt. Probabilistic logic programming for hybrid relational domains. Machine Learning, 103(3):407-449, 2016 [ BibTeX | DiVA ] |
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A. Giaretta, S. Balasubramaniam and M. Conti. Security Vulnerabilities and Countermeasures for Target Localization in Bio-NanoThings Communication Networks. IEEE Transactions on Information Forensics and Security, 11(4):665-676, 2016 [ BibTeX | DiVA ] |
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T. Le Van, M. van Leeuwen, A. C. Fierro, D. De Maeyer, J. Van den Eynden, L. Verbeke, L. De Raedt, K. Marchal and S. Nijssen. Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. Bioinformatics, 32(17):445-454, 2016 [ BibTeX | DiVA ] |
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S. Lowry and M. Milford. Supervised and Unsupervised Linear Learning Techniques for Visual Place Recognition in Changing Environments. IEEE Transactions on robotics, 32(3):600-613, 2016 [ BibTeX | DiVA ] |
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F. Klügl. Using the affordance concept for model design in agent-based simulation. Annals of Mathematics and Artificial Intelligence, 78(1):21-44, 2016 [ BibTeX | DiVA | PDF ] |
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S. Lowry, N. Sunderhauf, P. Newman, J. Leonard, D. Cox, P. Corke and M. Milford. Visual Place Recognition : A Survey. IEEE Transactions on robotics, 32(1):1-19, 2016 [ BibTeX | DiVA ] |
[1] |
S. Paramonov, M. van Leuween, M. Denecker and L. De Raedt. An Exercise in Declarative Modeling for Relational Query Mining. In Inductive Logic Programming : 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers, 9575(9575):166-182, 2016 [ BibTeX | DiVA ] |
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L. De Raedt. An Introduction to Hybrid Probabilistic (Logic) Programming. 2016 [ BibTeX | DiVA ] |
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L. De Raedt. Can we automate data science?. In European Data Science Conference : November 07-08, 2016 in Luxembourg, pages 38-38, 2016 [ BibTeX | DiVA ] |
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A. Loutfi, A. Jönsson, L. Karlsson, L. Lind, M. Lindén, F. Pecora and T. Voigt. Ecare@Home : A Distributed Research Environment on Semantic Interoperability. In Internet of Things Technologies for HealthCare. HealthyIoT 2016, pages 3-8, 2016 [ BibTeX | DiVA ] |
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J. Nilsson and F. Klügl. Human-in-the-Loop Simulation of a Virtual Classroom. In Multi-Agent Systems and Agreement Technologies : 13th European Conference, EUMAS 2015, and Third International Conference, AT 2015, Athens, Greece, December 17-18, 2015, Revised Selected Papers, 9571(9571):379-394, 2016 [ BibTeX | DiVA ] |
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M. Längkvist, M. Alirezaie, A. Kiselev and A. Loutfi. Interactive Learning with Convolutional Neural Networks for Image Labeling. In International Joint Conference on Artificial Intelligence (IJCAI) 2016 [ BibTeX | DiVA | PDF ] |
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M. Alirezaie, F. Klügl and A. Loutfi. Knowing without telling : integrating sensing and mapping for creating an artificial companion. In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 11:1-11:4, 2016 [ BibTeX | DiVA ] |
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J. Vlasselaer, A. Kimmig, A. Dries, W. Meert and L. De Raedt. Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs. In Proceedings of the First Workshop on Beyond NP, pages 359-364, 2016 [ BibTeX | DiVA ] |
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F. Orsini, P. Frasconi and L. De Raedt. kProbLog : An Algebraic Prolog for Kernel Programming. In Inductive Logic Programming : 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers, 9575(9575):152-165, 2016 [ BibTeX | DiVA ] |
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D. Nitti, I. Ravkic, J. Davis and L. De Raedt. Learning the structure of dynamic hybrid relational models. In ECAI 2016 : Proceedings, 285(285):1283-1290, 2016 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov and D. A. Rachkovskij. Modification of Holographic Graph Neuron using Sparse Distributed Representations. In Procedia Computer Science, 88(88):39-45, 2016 [ BibTeX | DiVA ] |
[12] |
L. De Raedt. On the history and future of machine learning : A personal interpretation and perspective. 2016 [ BibTeX | DiVA ] |
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M. Alirezaie, M. Längkvist, A. Kiselev and A. Loutfi. Open GeoSpatial Data as a Source of Ground Truth for Automated Labelling of Satellite Images. In SDW 2016 : Spatial Data on the Web, Proceedings, pages 5-8, 2016 [ BibTeX | DiVA ] |
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L. De Raedt. Probabilistic Programs and Their Applications. In 4th Conference of SANKEN Core to Core Program : Proceedings 2016 [ BibTeX | DiVA ] |
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V. Vercruyssen, L. De Raedt and J. Davis. Qualitative spatial reasoning for soccer pass prediction. In Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016) 2016 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov and R. W. Gayler. Recognizing Permuted Words with Vector Symbolic Architectures : A Cambridge Test for Machines. , 88(Vol. 88):169-175, 2016 [ BibTeX | DiVA ] |
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L. Antanas, P. Moreno and L. De Raedt. Relational Kernel-Based Grasping with Numerical Features. In Inductive Logic Programming : 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers, 9575(9575):1-14, 2016 [ BibTeX | DiVA ] |
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D. Wedekind, D. Kleyko, E. Osipov, H. Malberg, S. Zaunseder and U. Wiklund. Sparse coding of cardiac signals for automated component selection after blind source separation. , pages 785-788, 2016 [ BibTeX | DiVA ] |
[19] |
N. Eriksen, S. Hilmerby, M. Johansson, L. Karlsson and A. Loutfi. Starting from Scratch : Implementing CDIO in a new Master of Science in Engineering. 2016 [ BibTeX | DiVA ] |
[20] |
L. De Raedt. Towards synthesising inductive data models. 2016 [ BibTeX | DiVA ] |
[21] |
D. Kleyko, R. Hostettler, N. Lyamin, W. Birk, U. Wiklund and E. Osipov. Vehicle classification using road side sensors and feature-free data smashing approach. In 2016 Ieee 19Th International Conference On Intelligent Transportation Systems (Itsc), pages 1988-1993, 2016 [ BibTeX | DiVA ] |
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S. Lowry and H. Andreasson. Visual place recognition techniques for pose estimation in changing environments. In Visual Place Recognition: What is it Good For? workshop, Robotics : Science and Systems (RSS) 2016 2016 [ BibTeX | DiVA | PDF ] |
[1] |
Z. Chen, S. Lowry, A. Jacobson, M. E. Hasselmo and M. Milford. Bio-inspired homogeneous multi-scale place recognition. Neural Networks, 72:48-61, 2015 [ BibTeX | DiVA ] |
[2] |
H. Banaee and A. Loutfi. Data-driven rule mining and representation of temporal patterns in physiological sensor data. IEEE journal of biomedical and health informatics, 19(5):1557-1566, 2015 [ BibTeX | DiVA ] |
[3] |
A. Loutfi, S. Coradeschi, G. Mani, P. Shankar and J. Rayappan. Electronic noses for food quality : a review. Journal of Food Engineering, 144:103-111, 2015 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, R. W. Gayler, A. I. Khan and A. G. Dyer. Imitation of honey bees' concept learning processes using Vector Symbolic Architectures. Biologically Inspired Cognitive Architectures, 14:57-72, 2015 [ BibTeX | DiVA ] |
[5] |
D. Fierens, G. Vam Den Broeck, J. Renkens, D. Shterionov, B. Gutmann, I. Thon, G. Janssens and L. De Raedt. Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theory and Practice of Logic Programming, 15(3):358-401, 2015 [ BibTeX | DiVA ] |
[6] |
J. Cussens, L. De Raedt, A. Kimmig and T. Sato. Introduction to the special issue on probability, logic and learning. Theory and Practice of Logic Programming, 15(2):145-146, 2015 [ BibTeX | DiVA ] |
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M. Längkvist and A. Loutfi. Learning feature representations with a cost-relevant sparse autoencoder. International Journal of Neural Systems, 25(1):1450034-, 2015 [ BibTeX | DiVA ] |
[8] |
D. De Maeyer, B. Weytjens, J. Renkens, L. De Raedt and K. Marchal. PheNetic : network-based interpretation of molecular profiling data. Nucleic Acids Research, 43(W1):244-250, 2015 [ BibTeX | DiVA ] |
[9] |
L. De Raedt and A. Kimmig. Probabilistic (logic) programming concepts. Machine Learning, 100(1):5-47, 2015 [ BibTeX | DiVA ] |
[10] |
M. Alirezaie and A. Loutfi. Reasoning for sensor data interpretation : an application to air quality monitoring. Journal of Ambient Intelligence and Smart Environments, 7(4):579-597, 2015 [ BibTeX | DiVA ] |
[11] |
M. Vasirani, F. Klügl, E. Camponogara and H. Hattori. Special issue on intelligent agents in traffic and transportation. Journal of Intelligent Transportation Systems / Taylor & Francis, 19(1):1-2, 2015 [ BibTeX | DiVA ] |
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L. S. d. C. Silva-Lopez, M. Broxvall, A. Loutfi and L. Karlsson. Towards configuration planning with partially ordered preferences : representation and results. Künstliche Intelligenz, 9(2):173-183, 2015 [ BibTeX | DiVA ] |
[1] |
A. Vajdi, N. Haspel and H. Banaee. A New DP Algorithm for Comparing Gene Expression Data Using Geometric Similarity. In Proceedings 2015 IEEE International Conference on Bioinformatics and Biomedicine, pages 1157-1161, 2015 [ BibTeX | DiVA ] |
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F. Klügl. Affordance-Based Interaction Design for Agent-Based Simulation Models. In Multi-Agent Systems (EUMAS 2014), 8953(8953):51-66, 2015 [ BibTeX | DiVA ] |
[3] |
J. Vlasselae, G. Van den Broeck, A. Kimmig, W. Meert and L. De Raedt. Anytime Inference in Probabilistic Logic Programs with TP-Compilation. In Proceedings of 24th International Joint Conference on ArtificialIntelligence (IJCAI), pages 1852-1858, 2015 [ BibTeX | DiVA ] |
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A. Kiselev, M. Scherlund, A. Kristoffersson, N. Efremova and A. Loutfi. Auditory immersion with stereo sound in a mobile robotic telepresence system. In 10th ACM/IEEE International Conference on Human-Robot Interaction, 2015 2015 [ BibTeX | DiVA | PDF ] |
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S. Lowry and M. Milford. Building Beliefs : Unsupervised Generation of Observation Likelihoods for Probabilistic Localization in Changing Environments. In IEEE International Conference on Intelligent Robots and Systems (IROS), IEEE, 2015, pages 3071-3078, 2015 [ BibTeX | DiVA ] |
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A. Kiselev, A. Kristoffersson and A. Loutfi. Combining Semi-autonomous Navigation with Manned Behaviour in a Cooperative Driving System for Mobile Robotic Telepresence. In COMPUTER VISION - ECCV 2014 WORKSHOPS, PT IV, 8928(8928):17-28, 2015 [ BibTeX | DiVA | PDF ] |
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D. Kleyko, R. Hostettler, W. Birk and E. Osipov. Comparison of machine learning techniques for vehicle classification using road side sensors. In 2015 IEEE 18th International Conference on Intelligent Transportation Systems : Proceedings, pages 572-577, 2015 [ BibTeX | DiVA ] |
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B. Babaki, T. Guns, S. Nijssen and L. De Raedt. Constraint-Based Querying for Bayesian Network Exploration. In Advances in Intelligent Data Analysis XIV : 14th International Symposium, IDA 2015, Saint Etienne, France, October 22 -24, 2015. Proceedings, 9385(9385):13-24, 2015 [ BibTeX | DiVA ] |
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M. Alirezaie, F. Pecora and A. Loutfi. Context Recognition : Towards Automatic Query Generation. In Ambient Intelligence : 12th European Conference, AmI 2015, Athens, Greece, November 11-13, 2015, Proceedings, pages 205-218, 2015 [ BibTeX | DiVA ] |
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L. De Raedt. Declarative Machine Learning and Data Mining. In Constraint programming for Analytics Workshop 2015 [ BibTeX | DiVA ] |
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H. Banaee, M. U. Ahmed and A. Loutfi. Descriptive Modelling of Clinical Conditions with Data-driven Rule Mining in Physiological Data. In Proceedings of the 8th International conference of Health Informatics (HEALTHINF 2015) 2015 [ BibTeX | DiVA | PDF ] |
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Z. Chen, S. Lowry, A. Jacobson, Z. Ge and M. Milford. Distance metric learning for feature-agnostic place recognition. In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2556-2563, 2015 [ BibTeX | DiVA ] |
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A. Kiselev, A. Kristoffersson, F. Melendez, C. Galindo, A. Loutfi, J. Gonzalez-Jimenez and S. Coradeschi. Evaluation of using semi-autonomy features in mobile robotic telepresence systems. In Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and Robotics, Automation and Mechatronics, RAM 2015, pages 147-152, 2015 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, N. Papakonstantinou, V. Vyatkin and A. Mousavi. Fault detection in the hyperspace : towards intelligent automation systems. In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN) : Proceedings, pages 1219-1224, 2015 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, M. Björk, H. Toresson and A. Öberg. Fly-The-Bee : A Game Imitating Concept Learning in Bees. , 71(Vol. 71):25-30, 2015 [ BibTeX | DiVA ] |
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C. Carrascosa, F. Klügl, A. Ricci and O. Boissier. From Physical to Virtual : Widening the Perspective on Multi-Agent Environments. In Agent Environments for Multi-Agent Systems IV, pages 133-146, 2015 [ BibTeX | DiVA ] |
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F. Orsini, P. Frasconi and L. De Raedt. Graph Invariant Kernels. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, pages 3756-3762, 2015 [ BibTeX | DiVA ] |
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L. De Raedt, A. Dries, I. Thon, G. Van den Broeck and M. Verbeke. Inducing Probabilistic Relational Rules from Probabilistic Examples. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, pages 1835-1842, 2015 [ BibTeX | DiVA ] |
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M. U. Ahmed, H. Banaee, X. Rafael-Palou and A. Loutfi. Intelligent Healthcare Services to Support Health Monitoring of Elderly. In INTERNET OF THINGS : USER-CENTRIC IOT, PT I, 150(150):178-186, 2015 [ BibTeX | DiVA | PDF ] |
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P. Frasconi, F. Costa, L. De Raedt and K. De Grave. kLog : A language for logical and relational learning with kernels. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), pages 4183-4187, 2015 [ BibTeX | DiVA ] |
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L. De Raedt. Languages for Learning and Mining. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 6:4107-4111, 2015 [ BibTeX | DiVA ] |
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A. d'Avila Garcez, T. R. Besold, L. De Raedt, P. Földiák, P. Hitzler, T. Icard, K. U. Kiihnberger, L. C. Lamb, R. Miikkulainen and D. L. Silver. Neural-Symbolic Learning and Reasoning : Contributions and Challenges. In Knowledge Representation and Reasoning : Integrating Symbolic and Neural Approaches - Papers from the 2015 AAAI Spring Symposium, Technical Report, SS-15-03:18-21, 2015 [ BibTeX | DiVA ] |
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D. Van Daele, A. Kimmig and L. De Raedt. PageRank, ProPPR, and Stochastic Logic Programs. In Inductive Logic Programming : 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers, 9046(9046):168-180, 2015 [ BibTeX | DiVA ] |
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D. Nitti, V. Belle and L. De Raedt. Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming. In Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II, pages 327-342, 2015 [ BibTeX | DiVA ] |
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L. De Raedt. Probabilistic programming and its applications (Keynote Abstract). In Multi-disciplinary Trends in Artificial Intelligence : 9th International Workshop, MIWAI 2015, Fuzhou, China, November 13-15, 2015, Proceedings, 9426(9426):xiii-xiv, 2015 [ BibTeX | DiVA ] |
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A. Dries, A. Kimmig, W. Meert, J. Renkens, G. Van den Broeck, J. Vlasselaer and L. De Raedt. ProbLog2 : Probabilistic Logic Programming. In Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III, 9286(9286):312-315, 2015 [ BibTeX | DiVA ] |
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T. Le Van, M. van Leuween, S. Nijssen and L. De Raedt. Rank Matrix Factorisation. In Advances in Knowledge Discovery and Data Mining : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, 9077(9077):734-746, 2015 [ BibTeX | DiVA ] |
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M. Milford, C. Shen, S. Lowry, N. Sünderhauf, S. Shirazi, G. Lin, F. Liu, E. Pepperell, C. Cadena, B. Upcroft and I. Reid. Sequence Searching With Deep-Learnt Depth for Condition- and Viewpoint-Invariant Route-Based Place Recognition. In 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pages 18-25, 2015 [ BibTeX | DiVA ] |
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L. De Raedt. Towards probabilistic inductive programming synthesis. In Approaches and Applications ofInductive Programming 2015 [ BibTeX | DiVA ] |
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L. De Raedt. Using and developing declarative languages for machine learning and data mining. In Technical Communications of ICLP : Proceedings of the Technical Communications of the 31st International Conference on Logic Programming (ICLP 2015) 2015 [ BibTeX | DiVA ] |
[1] |
M. Längkvist, L. Karlsson and A. Loutfi. A review of unsupervised feature learning and deep learning for time-series modeling. Pattern Recognition Letters, 42(1):11-24, 2014 [ BibTeX | DiVA | PDF ] |
[2] |
A. L. C. Bazzan and F. Klügl. A review on agent-based technology for traffic and transportation. Knowledge engineering review (Print), 29(3):375-403, 2014 [ BibTeX | DiVA ] |
[4] |
M. Alirezaie and A. Loutfi. Automated reasoning using abduction for interpretation of medical signals. Journal of Biomedical Semantics, 5, 2014 [ BibTeX | DiVA ] |
[5] |
G. Koshmak, M. Linden and A. Loutfi. Dynamic Bayesian Networks for Context-Aware Fall Risk Assessment. Sensors, 14(5):9330-9348, 2014 [ BibTeX | DiVA ] |
[6] |
S. Balasubramaniam, N. Lyamin, D. Kleyko, M. Skurnik, A. Vinel and Y. Koucheryavy. Exploiting bacterial properties for multi-hop nanonetworks. IEEE Communications Magazine, 52(7):184-191, 2014 [ BibTeX | DiVA ] |
[8] |
V. Dzyuba, M. van Leeuwen, S. Nijssen and L. De Raedt. Interactive Learning of Pattern Rankings. International journal on artificial intelligence tools, 23(6), 2014 [ BibTeX | DiVA ] |
[9] |
M. Fox and L. De Raedt. Introduction to the Special Issue on the ECAI 2012 Turing and Anniversary Track. AI Communications, 27(1):1-1, 2014 [ BibTeX | DiVA ] |
[10] |
P. Frasconi, F. Costa, L. De Raedt and K. De Grave. kLog : A language for logical and relational learning with kernels. Artificial Intelligence, 217:117-143, 2014 [ BibTeX | DiVA ] |
[11] |
L. Antanas, M. Van Otterlo, J. Oramas Mogrovejo, T. Tuytelaars and L. De Raedt. There are plenty of places like home : Using relational representations in hierarchies for distance-based image understanding. Neurocomputing, 123:75-85, 2014 [ BibTeX | DiVA ] |
[1] |
J. Ullberg, A. Loutfi and F. Pecora. A customizable approach for monitoring activities of elderly users in their homes. In Activity Monitoring by Multiple Distributed Sensing : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers, pages 13-25, 2014 [ BibTeX | DiVA ] |
[2] |
J. Vlasselaer, W. Meert, G. Van den Broeck and L. De Raedt. AAAI Workshop - Technical Report. In Papers from the 2014 AAAI Workshop, WS-14-13(2014; Vol. WS-14-13):131-134, 2014 [ BibTeX | DiVA ] |
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P. Beeson, D. Kortenkamp, R. P. Bonasso, A. Persson, A. Loutfi and J. P. Bona. An Ontology-Based Symbol Grounding System for Human-Robot Interaction. In Artificial Intelligence for Human-Robot Interaction : 2014 AAAI Fall Symposium, pages 48-50, 2014 [ BibTeX | DiVA ] |
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D. Nitti, G. Chliveros, M. Pateraki, L. De Raedt, E. Hourdakis and P. Trahanias. Application of Dynamic Distributional Clauses for Multi-hypothesis Initialization in Model-based Object Tracking. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - (Volume 1), 1:256-261, 2014 [ BibTeX | DiVA ] |
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D. Kleyko and E. Osipov. Brain-like classifier of temporal patterns. In 2014 International Conference on Computer and Information Sciences (ICCOINS), 3-5 June 2014 : Proceedings, pages 1-6, 2014 [ BibTeX | DiVA ] |
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N. Efremova and A. Kiselev. Cognitive Architectures for Optimal Remote Image Representation for Driving a Telepresence Robot. 2014 [ BibTeX | DiVA | PDF ] |
[8] |
J. Vlasselaer, J. Renkens, G. Van den Broeck and L. De Raedt. Compiling Probabilistic Logic Programs into Sentential Decision Diagrams. In Workshop on Probabilistic Logic Programming (PLP) : Proceedings, 3:1-10, 2014 [ BibTeX | DiVA ] |
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J. Vlasselaer, W. Meert, R. Langone and L. De Raedt. Condition monitoring with incomplete observations. In ECAI 2014: 21st European Conference on Artificial Intelligence 18-22 August 2014, Prague, Czech Republic : Proceedings, 263(263):1215-1216, 2014 [ BibTeX | DiVA ] |
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D. Nitti, T. De Lact and L. De Raedt. Distributional Clauses Particle Filter. In Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III, 8726(8726):504-507, 2014 [ BibTeX | DiVA ] |
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J. Renkens, A. Kimmig, G. Van den Broeck and L. De Raedt. Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 4:2490-2496, 2014 [ BibTeX | DiVA ] |
[12] |
M. Verbeke, P. Frasconi, K. De Grave, F. Costa and L. De Raedt. kLogNLP : Graph Kernel–based Relational Learning of Natural Language. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics : System Demonstrations, pages 85-90, 2014 [ BibTeX | DiVA ] |
[13] |
M. Verbeke, V. Van Asch, W. Daelemans and L. De Raedt. Lazy and Eager Relational Learning Using Graph-Kernels. In Statistical Language and Speech Processing : Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings, pages 171-184, 2014 [ BibTeX | DiVA ] |
[14] |
L. De Raedt, A. Dries, T. Guns and C. Bessiere. Learning constraint satisfaction problems : An ILP perspective. , 24:1-6, 2014 [ BibTeX | DiVA ] |
[15] |
B. Moldovan and L. De Raedt. Learning relational affordance models for two-arm robots. In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2916-2922, 2014 [ BibTeX | DiVA ] |
[16] |
D. Kleyko, N. Lyamin and E. Osipov. Modified algorithm of dynamic frequency hopping (DFH) in the IEEE 802.22 standard. In Multiple access communications : 7th International Workshop, MACOM 2014, Halmstad, Sweden, August 27-28, 2014, Proceedings, pages 75-83, 2014 [ BibTeX | DiVA | PDF ] |
[17] |
B. Moldovan and L. De Raedt. Occluded object search by relational affordances. In 2014 IEEE International Conference on Robotics & Automation (ICRA), pages 169-174, 2014 [ BibTeX | DiVA ] |
[18] |
D. Kleyko and E. Osipov. On bidirectional transitions between localist and distributed representations : The case of common substrings search using Vector Symbolic Architecture. , 41:104-113, 2014 [ BibTeX | DiVA ] |
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D. Kleyko, E. Osipov, S. Patil, V. Vyatkin and Z. Pang. On methodology of implementing distributed function block applications using TinyOS WSN nodes. In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) 2014 [ BibTeX | DiVA ] |
[20] |
D. Van Daele, A. Kimmig and L. De Raedt. PageRank, ProPPR, and Stochastic Logic Programs. In Inductive Logic Programming : 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers, 9046(9046):168-180, 2014 [ BibTeX | DiVA ] |
[21] |
T. Le Van, M. van Leuween, S. Nijssen, A. C. Fierro, K. Marchal and L. De Raedt. Ranked Tiling. In Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II, pages 98-113, 2014 [ BibTeX | DiVA ] |
[22] |
M. Alirezaie and A. Loutfi. Reasoning for Improved Sensor Data Interpretation in a Smart Home. 2014 [ BibTeX | DiVA ] |
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D. Nitti, T. De Laet and L. De Raedt. Relational object tracking and learning. In 2014 IEEE International Conference on Robotics and Automation (ICRA) 2014 [ BibTeX | DiVA ] |
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F. Costa, M. Verbeke and L. De Raedt. Relational Regularization and Feature Ranking. In Proceedings of the 2014 SIAM International Conference on Data Mining (SDM), 2:650-658, 2014 [ BibTeX | DiVA ] |
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A. Kiselev, G. Mosiello, A. Kristoffersson and A. Loutfi. Semi-Autonomous Cooperative Driving for Mobile Robotic Telepresence Systems. In Proceedings of the 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2014), pages 104-104, 2014 [ BibTeX | DiVA | PDF ] |
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A. Kiselev, A. Kristoffersson and A. Loutfi. The Effect of Field of View on Social Interaction in Mobile Robotic Telepresence Systems. In Proceedings of the 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2014), pages 214-215, 2014 [ BibTeX | DiVA | PDF ] |
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J. M. Oramas, L. De Raedt and T. Tuytelaars. Towards Cautious Collective Inference for Object Verification. In IEEE Workshop on Applications of Computer Vision (WACV), pages 269-276, 2014 [ BibTeX | DiVA ] |
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H. Banaee and A. Loutfi. Using Conceptual Spaces to Model Domain Knowledge in Data-to-Text Systems. In Proceedings of the 8th International Natural Language Generation Conference, pages 11-15, 2014 [ BibTeX | DiVA | PDF ] |
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C. Carrascosa, F. Klügl and A. Ricci. Virtual Environments 4 MAS. In E4MAS - 10 Years Later. Workshop at AAMAS 2014 2014 [ BibTeX | DiVA ] |
[2] |
S. Coradeschi, A. Loutfi and B. Wrede. A short review of symbol grounding in robotic and intelligent systems. Künstliche Intelligenz, 27(2):129-136, 2013 [ BibTeX | DiVA | PDF ] |
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O. G. Melent’ev and D. Kleyko. Computing the parameters of the discrete channel resulting under frequency hopping in the general case. Automation and remote control, 74(7):1128-1131, 2013 [ BibTeX | DiVA ] |
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H. Banaee, M. U. Ahmed and A. Loutfi. Data mining for wearable sensors in health monitoring systems : a review of recent trends and challenges. Sensors, 13(12):17472-17500, 2013 [ BibTeX | DiVA | PDF ] |
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M. Längkvist, S. Coradeschi, A. Loutfi and J. B. B. Rayappan. Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning. Sensors, 13(2):1578-1592, 2013 [ BibTeX | DiVA | PDF ] |
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M. U. Ahmed, H. Banaee and A. Loutfi. Health monitoring for elderly : an application using case-based reasoning and cluster analysis. ISRN Artificial Intelligence, 2013(2013):1-11, 2013 [ BibTeX | DiVA | PDF ] |
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T. Guns, S. Nijssen and L. De Raedt. k-Pattern Set Mining under Constraints. IEEE Transactions on Knowledge and Data Engineering, 25(2):402-418, 2013 [ BibTeX | DiVA ] |
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R. Junges and F. Klügl. Learning Tools for Agent-based Modeling and Simulation. Künstliche Intelligenz, 27(3):273-280, 2013 [ BibTeX | DiVA ] |
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G. C. Garriga, R. Khardon and L. De Raedt. Mining closed patterns in relational, graph and network data. Annals of Mathematics and Artificial Intelligence, 69(4):315-342, 2013 [ BibTeX | DiVA ] |
[11] |
D. De Maeyer, J. Renkens, L. Cloots, L. De Raedt and K. Marchal. PheNetic : Network-based interpretation of unstructured gene lists in E. coli. Molecular Biosystems, 9(7):1594-1603, 2013 [ BibTeX | DiVA ] |
[12] |
M. U. Ahmed and A. Loutfi. Physical activity identification using supervised machine learning and based on pulse rate. International Journal of Advanced Computer Sciences and Applications, 4(7):210-217, 2013 [ BibTeX | DiVA | PDF ] |
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M. Alirezaie and A. Loutfi. Towards Automatic Ontology Alignment for Enriching Sensor Data Analysis. Communications in Computer and Information Science, 415:179-193, 2013 [ BibTeX | DiVA ] |
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G. Mosiello, A. Kiselev and A. Loutfi. Using augmented reality to improve usability of the user interface for driving a telepresence robot. Paladyn - Journal of Behavioral Robotics, 4(3):174-181, 2013 [ BibTeX | DiVA | PDF ] |
[1] |
M. Theobald, L. De Raedt, M. Dylla, A. Kimmig and I. Miliaraki. 10 Years of Probabilistic Querying : What Next?. In Advances in Databases and Information Systems : 17th East European Conference, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings, 8133(8133):1-13, 2013 [ BibTeX | DiVA ] |
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H. Banaee, M. U. Ahmed and A. Loutfi. A framework for automatic text generation of trends in physiological time series data. In IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester, pages 3876-3881, 2013 [ BibTeX | DiVA ] |
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D. Nitti, T. De Laet and L. De Raedt. A particle filter for hybrid relational domains. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2764-2771, 2013 [ BibTeX | DiVA ] |
[5] |
L. Antanas, M. Hoffmann, P. Frasconi, T. Tuytelaars and L. De Raedt. A relational kernel-based approach to scene classification. In Proceedings of IEEE Workshop on Applications of Computer Vision, pages 133-139, 2013 [ BibTeX | DiVA ] |
[6] |
V. Dzyuba, M. van Leuween, S. Nijssen and L. De Raedt. Active Preference Learning for Ranking Patterns. In 25th International Conference on Tools with Artificial Intelligence ICTA I2013 : Proceedings, pages 532-539, 2013 [ BibTeX | DiVA ] |
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J. M. Oramas, L. De Raedt and T. Tuytelaars. Allocentric Pose Estimation. In 2013 IEEE International Conference on Computer Vision, pages 289-296, 2013 [ BibTeX | DiVA ] |
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F. Klügl and P. Davidsson. AMASON: Abstract Meta-model for Agent-based SimulatiON. In Multiagent System Technologies : 11th German Conference, MATES 2013, Koblenz, Germany, September 16-20, 2013. Proceedings, pages 101-114, 2013 [ BibTeX | DiVA ] |
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M. Alirezaie and A. Loutfi. Automatic annotation of sensor data streams using abductive reasoning. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pages 345-354, 2013 [ BibTeX | DiVA ] |
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B. Moldovan, I. Thon, J. Davis and L. De Raedt. Estimation of Conditional Probabilities in Probabilistic Programming Languages. In Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013. Proceedings, 7958(7958):436-448, 2013 [ BibTeX | DiVA ] |
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S. Coradeschi, A. Cesta, G. Cortellessa, L. Coraci, J. Gonzalez, L. Karlsson, F. Furfari, A. Loutfi, A. Orlandini, F. Palumbo, F. Pecora, S. von Rump, J. Ullberg and B. Östlund. GiraffPlus : combining social interaction and long term monitoring for promoting independent living. In 2013 6TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI), pages 578-585, 2013 [ BibTeX | DiVA | PDF ] |
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R. Junges and F. Klügl. Learning Agent Models in SeSAm : (Demonstration). In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), pages 1373-1374, 2013 [ BibTeX | DiVA | PDF ] |
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T. Guns, G. Tack, S. Nijssen and L. De Raedt. MiningZinc : A Modeling Language for Constraint-based Mining. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, pages 1365-1372, 2013 [ BibTeX | DiVA ] |
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M. U. Ahmed and A. Loutfi. Physical Activity Classification for Elderly based on Pulse Rate. , pages 152-157, 2013 [ BibTeX | DiVA ] |
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L. De Raedt, S. Paramono and M. van Leeuwen. Relational Decomposition using Answer Set Programming. 2013 [ BibTeX | DiVA ] |
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L. De Raedt, S. Paramono and M. van Leeuwen. Relational Decomposition using Answer Set Programming. In Online Preprints 23rd International Conference on Inductive Logic Programming 2013 [ BibTeX | DiVA ] |
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A. Kiselev, A. Loutfi, P. K. Sivakumar and C. S. Swaminathan. Robot-human hand-overs in non-anthropomorphic robots. In Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction, HRI'13, pages 227-228, 2013 [ BibTeX | DiVA ] |
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T. Guns, A. Dries, G. Tack, S. Nijssen and L. De Raedt. The MiningZinc Framework for Constraint-Based Itemset Mining. In 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW), pages 1081-1084, 2013 [ BibTeX | DiVA ] |
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H. Banaee, M. U. Ahmed and A. Loutfi. Towards NLG for Physiological Data Monitoring with Body Area Networks. In 14th European Workshop on Natural Language Generation, pages 193-197, 2013 [ BibTeX | DiVA | PDF ] |
[1] |
A. Louloudi and F. Klügl. A new framework for coupling agent-based simulation and immersive visualisation. In Proceedings of the 26th European Conference on Modelling and Simulation (ECMS), pages 51-57, 2012 [ BibTeX | DiVA ] |
[3] |
M. U. Ahmed, A. M. Islam and A. Loutfi. A case-based patient identification system using pulseoximeter and a personalized health profile. 2012 [ BibTeX | DiVA | PDF ] |
[4] |
R. Junges and F. Klügl. Behavior abstraction robustness in agent modeling. In Web Intelligence and Intelligent Agent Technology (WIIAT), pages 228-235, 2012 [ BibTeX | DiVA ] |
[5] |
R. Junges and F. Klügl. Behavior modeling from learning agents : sensitivity to objective function details. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) : volume 3, pages 1335-1336, 2012 [ BibTeX | DiVA ] |
[6] |
D. Kleyko, N. Lyamin, E. Osipov and L. Riliskis. Dependable MAC layer architecture based on holographic data representation using hyper-dimensional binary spatter codes. In Multiple access communications : 5th International Workshop, MACOM 2012, Maynooth, Ireland, November 19-20, 2012. Proceedings, pages 134-145, 2012 [ BibTeX | DiVA ] |
[7] |
R. Junges and F. Klügl. How to design agent-based simulation models using agent learning. In Winter Simulation Conference Proceedings, pages 1-10, 2012 [ BibTeX | DiVA | PDF ] |
[8] |
A. Louloudi and F. Klügl. Immersive face validation : a new validation technique for agent-based simulation. , pages 1255-1260, 2012 [ BibTeX | DiVA ] |
[9] |
M. Längkvist and A. Loutfi. Learning Representations with a Dynamic Objective Sparse Autoencoder. 2012 [ BibTeX | DiVA | PDF ] |
[10] |
M. Längkvist and A. Loutfi. Not all signals are created equal : Dynamic objective auto-encoder for multivariate data. 2012 [ BibTeX | DiVA | PDF ] |
[11] |
M. Alirezaie and A. Loutfi. Ontology alignment for classification of low level sensor data. 2012 [ BibTeX | DiVA ] |
[12] |
A. Kiselev and A. Loutfi. Using a mental workload index as a measure of usability of a user interface for social robotic telepresence. In Workshop in Social Robotics Telepresence 2012 [ BibTeX | DiVA | PDF ] |
[1] |
F. Klügl and G. Rindsfüser. Agent-based route (and mode) choice simulation in real-world networks. In 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pages 22-29, 2011 [ BibTeX | DiVA ] |
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A. Kiselev, N. Abdikeev and T. Nishida. Evaluating Humans’ Implicit Attitudes towards an Embodied Conversational Agent. In Advances in Neural Networks–ISNN 2011 : 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part I 2011 [ BibTeX | DiVA ] |
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R. Junges and F. Klügl. Evolution for modeling : a genetic programming framework for SeSAm. In GECCO '11 : Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 551-558, 2011 [ BibTeX | DiVA ] |
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A. Kiselev, N. Abdikeev and T. Nishida. Measuring Implicit Attitudes in Human-Computer Interactions. In Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, pages 350-357, 2011 [ BibTeX | DiVA ] |
[5] |
R. Junges and F. Klügl. Modeling agent behavior through online evolutionary and reinforcement learning. In Federated Conference on Computer Science and Information Systems (FedCSIS), 2011, pages 643-650, 2011 [ BibTeX | DiVA ] |
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F. Klügl and C. Bernon. Self-Adaptive Agents for Debugging Multi-Agent Simulations. In Proc. of the 3rd ADAPTIVE 2011 : The Third International Conference on Adaptive and Self-Adaptive Systems and Applications, pages 79-84, 2011 [ BibTeX | DiVA | PDF ] |
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S. Coradeschi, A. Loutfi, A. Kristoffersson, G. Cortellessa and K. Severinson Eklundh. Social robotic telepresence. In the 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2011).HRI, pages 5-6, 2011 [ BibTeX | DiVA ] |
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S. Asadi, S. Pashami, A. Loutfi and A. J. Lilienthal. TD Kernel DM+V : time-dependent statistical gas distribution modelling on simulated measurements. In Olfaction and Electronic Nose : proceedings of the 14th International Symposium on Olfaction and Electronic Nose (ISOEN), pages 281-282, 2011 [ BibTeX | DiVA | PDF ] |
[10] |
A. Louloudi and F. Klügl. Towards a generic connection between agent behaviour and visualisation. 2011 [ BibTeX | DiVA ] |
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S. Coradeschi, A. Kristoffersson, A. Loutfi, S. Von Rump, A. Cesta, G. Cortellessa and J. Gonzalez. Towards a methodology for longitudinal evaluation of social robotic telepresence for elderly. In 1st Workshop on Social Robotic Telepresence at HRI 2011 2011 [ BibTeX | DiVA | PDF ] |
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M. Längkvist and A. Loutfi. Unsupervised feature learning for electronic nose data applied to Bacteria Identification in Blood. 2011 [ BibTeX | DiVA | PDF ] |
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A. Louloudi and F. Klügl. Visualizing agent-based simulation dynamics in a CAVE : issues and architectures. In 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), pages 651-658, 2011 [ BibTeX | DiVA ] |
[1] |
F. Klügl, G. Klubertanz and G. Rindsfüser. Agent-based pedestrian simulation of train evacuation integrating environmental data. In KI 2009 : advances in artificial intelligence, pages 631-638, 2009 [ BibTeX | DiVA ] |
[2] |
M. Trincavelli, S. Coradeschi and A. Loutfi. Classification of odours for mobile robots using an ensemble of linear classifiers. In Olfaction and electronic nose : proceedings of the 13th international symposium on olfaction and electronic nose, pages 475-478, 2009 [ BibTeX | DiVA ] |
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B. A. Hacker, T. Wankerl, A. Kiselev, H. H. Huang, J. Schlichter, N. Abdikeev and T. Nishida. Incorporating intentional and emotional behaviors into a Virtual Human for Better Customer-Engineer-Interaction. 2009 [ BibTeX | DiVA ] |
[4] |
M. Daoutis, S. Coradeschi and A. Loutfi. Integrating common sense in physically embedded intelligent systems. In Intelligent environments 2009, pages 212-219, 2009 [ BibTeX | DiVA ] |
[5] |
M. Trincavelli, S. Coradeschi and A. Loutfi. Online classification of gases for environmental exploration. In IEEE/RSJ international conference on intelligent robots and systems, IROS 2009, pages 3311-3316, 2009 [ BibTeX | DiVA ] |
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