Amy Loutfi

Professor, Head of MPI Lab

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room: T2243, E3103
Phone: No Phone Number Available
Email: No Email Address Available

Amy Loutfi is a Professor in Computer Science at Örebro University and leads the research group - AASS Machine Perception and Interaction Lab . Amy is also active in the programme management group for Wallenberg Autonomous Sensor Systems Programme in the AI branch. Amy Loutfi received her Ph.D. in Computer Science in 2006 with a research topic in machine perception. Specifically, she researched about how gas sensors could be integrated onto robotic platforms and how these robots can interact with humans in order to solve a range of problems that required sensing and perception. She has since broadened her research interests to include general research directions within machine perception, where AI methods like Machine learning are used for the interpretation of sensor data. She also has broadened her research in the area of Human Robot Interaction where she has studied HRI in various platforms that include fully autonomous robots, but also teleoperated robots. She has a long experience working with industry and the public sector on research projects dealing with AI, robotics and human-robot interaction.

Additionally, Amy has worked with a strong engagement in strategic issues in AI for all of Sweden. In addition to her role in WASP, she is involved in AI Sweden, AI competence of Sweden, Omstartskommissionen och regeringens samverkansprogram on digitalisation. She carries out these strategic activities within her role as pro-vice-chancellor for AI at Örebro University.

In 2020, Amy was elected as a member of the Royal Swedish Academy of Engineering Sciences.

For a complete list of her publications and bibliometrics please see Google Profile Page

Publications

[1]	A. Persson and A. Loutfi. A Database-Centric Architecture for Efficient Matching of Object Instances in Context of Perceptual Anchoring. [ BibTeX \| DiVA ]
[2]	N. Akalin, A. Kristoffersson, A. Kiselev and A. Loutfi. Guidelines for Identifying Factors Influencing Perceived Safety in Human-Robot Interaction. [ BibTeX \| DiVA ]
[3]	A. Persson, P. Zuidberg Dos Martires, A. Loutfi and L. De Raedt. Semantic Relational Object Tracking. [ BibTeX \| DiVA ]
[4]	A. Kristoffersson, S. Coradeschi, K. S. Eklundh and A. Loutfi. Towards measuring quality of interaction in mobile robotic telepresence using sociometric badges.. [ BibTeX \| DiVA ]
[5]	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 ]
[6]	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 ]
[7]	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 ]
[8]	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 ]
[9]	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 ]
[10]	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 ]
[11]	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 ]
[12]	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 ]
[13]	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 ]
[14]	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 ]
[15]	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 ]
[16]	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 ]
[17]	A. Persson and A. Loutfi. Embodied Affordance Grounding using Semantic Simulations and Neural-Symbolic Reasoning : An Overview of the PlayGround Project. In AIC 2022 : Abstracts of accepted papers 2022 [ BibTeX \| DiVA \| PDF ]
[18]	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 ]
[19]	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 ]
[20]	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 ]
[21]	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 ]
[22]	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 ]
[23]	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 ]
[24]	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 ]
[25]	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 ]
[26]	A. Persson, P. Z. D. Martires, L. De Raedt and A. Loutfi. ProbAnch : a Modular Probabilistic Anchoring Framework. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20, pages 5285-5287, 2021 [ BibTeX \| DiVA ]
[27]	N. Akalin and A. Loutfi. Reinforcement Learning Approaches in Social Robotics. Sensors, 21(4), 2021 [ BibTeX \| DiVA ]
[28]	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 ]
[29]	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 ]
[30]	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 ]
[31]	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 ]
[32]	H. Banaee, G. Chimamiwa, M. Alirezaie and A. Loutfi. Explaining Habits and Changes of Activities in Smart Homes. 2020 [ BibTeX \| DiVA \| PDF ]
[33]	M. Alirezaie, M. Längkvist and A. Loutfi. Knowledge Representation and Reasoning Methods to Explain Errors in Machine Learning. In Knowledge Graphs for eXplainable Artificial Intelligence : Foundations, Applications and Challenges 2020 [ BibTeX \| DiVA ]
[34]	M. Längkvist, A. Persson and A. Loutfi. Learning Generative Image Manipulations from Language Instructions. 2020 [ BibTeX \| DiVA \| PDF ]
[35]	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 ]
[36]	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 ]
[37]	A. Persson, P. Zuidberg Dos Martires, A. Loutfi and L. De Raedt. Semantic Relational Object Tracking. IEEE Transactions on Cognitive and Developmental Systems, 12(1):84-97, 2020 [ BibTeX \| DiVA ]
[38]	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 ]
[39]	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 ]
[40]	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 ]
[41]	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 ]
[42]	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 ]
[43]	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 ]
[44]	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 ]
[45]	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 ]
[46]	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 ]
[47]	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 ]
[48]	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 ]
[49]	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 ]
[50]	A. Kristoffersson, E. Kolkowska and A. Loutfi. Summative evaluation of a sensor-based cognitive assistive technology : Impact on quality of life and perceived utility. Gerontechnology, 18(2):59-69, 2019 [ BibTeX \| DiVA ]
[51]	A. Kristoffersson, J. Ulfvarson and A. Loutfi. Teknik i hemmet - tekniska förutsättningar. In Hemsjukvård : olika perspektiv på trygg och säker vård, pages 396-421, 2019 [ BibTeX \| DiVA ]
[52]	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 ]
[53]	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 ]
[54]	M. Alirezaie, M. Längkvist, M. Sioutis and A. Loutfi. A Symbolic Approach for Explaining Errors in Image Classification Tasks. 2018 [ BibTeX \| DiVA ]
[55]	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 ]
[56]	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 ]
[57]	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 ]
[58]	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 ]
[59]	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 ]
[60]	U. Köckemann, N. Tsiftes and A. Loutfi. Integrating Constraint-based Planning with LwM2M for IoT Network Scheduling. 2018 [ BibTeX \| DiVA ]
[61]	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 ]
[62]	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 ]
[63]	S. Krishna and A. Loutfi. Robotics for Successful Ageing. In Successful ageing in an interdisciplinary context : popular science presentations, pages 29-35, 2018 [ BibTeX \| DiVA \| PDF ]
[64]	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 ]
[65]	S. Alexopoulou, F. Fart, A. S. Jonsson, L. Karni, L. M. Kenalemang, S. Krishna, K. Lindblad, A. Loutfi, E. Lundin, H. Samzelius, M. Schoultz, L. Spang, A. Söderman, J. Tarum, A. Tsertsidis and B. Widell. Successful ageing in an interdisciplinary context : popular science presentations. , pages 127, 2018 [ BibTeX \| DiVA \| PDF ]
[66]	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 ]
[67]	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 ]
[68]	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 ]
[69]	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 ]
[70]	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 ]
[71]	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 ]
[72]	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 ]
[73]	A. Persson, M. Längkvist and A. Loutfi. Learning Actions to Improve the Perceptual Anchoring of Object. Frontiers in Robotics and AI, 3(76), 2017 [ BibTeX \| DiVA ]
[74]	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 ]
[75]	A. Kiselev, A. Potenza, B. Bruno and A. Loutfi. Towards Seamless Autonomous Function Handovers in Human-Robot Teams. 2017 [ BibTeX \| DiVA \| PDF ]
[76]	A. Potenza, A. Kiselev, A. Loutfi and A. Saffiotti. Towards Sliding Autonomy in Mobile Robotic Telepresence : A Position Paper. 2017 [ BibTeX \| DiVA \| PDF ]
[77]	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 ]
[78]	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 ]
[79]	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 ]
[80]	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 ]
[81]	A. Persson and A. Loutfi. Fast Matching of Binary Descriptors for Large-scale Applications in Robot Vision. International Journal of Advanced Robotic Systems, 13, 2016 [ BibTeX \| DiVA ]
[82]	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 ]
[83]	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 ]
[84]	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 ]
[85]	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 ]
[86]	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 ]
[87]	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 ]
[88]	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 ]
[89]	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 ]
[90]	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 ]
[91]	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 ]
[92]	A. Kristoffersson, E. Kolkowska and A. Loutfi. En metod för mätning av ett sensornätverks inverkan p\aa trygghet : Slutrapport. , pages 22, 2015 [ BibTeX \| DiVA \| PDF ]
[93]	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 ]
[94]	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 ]
[95]	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 ]
[96]	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 ]
[97]	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 ]
[98]	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 ]
[99]	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 ]
[100]	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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