2019
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Gibson Chimamiwa; Marjan Alirezaie; Hadi Banaee; Uwe Köckemann; Amy Loutfi Towards Habit Recognition in Smart Homes for People with Dementia Inproceedings In: European Conference on Ambient Intelligence, pp. 363-369, Springer, Cham, 2019. BibTeX @inproceedings{ami2019,
title = {Towards Habit Recognition in Smart Homes for People with Dementia},
author = {Gibson Chimamiwa and Marjan Alirezaie and Hadi Banaee and Uwe Köckemann and Amy Loutfi},
year = {2019},
date = {2019-11-13},
booktitle = {European Conference on Ambient Intelligence},
pages = {363-369},
publisher = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marjan Alirezaie; Martin Längkvist; Michael Sioutis; Amy Loutfi Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation Journal Article In: Semantic Web Journal, 10 (5), pp. 863-880, 2019. Abstract | Links | BibTeX @article{semreferee,
title = {Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation},
author = {Marjan Alirezaie and Martin Längkvist and Michael Sioutis and Amy Loutfi},
doi = {10.3233/SW-190362},
year = {2019},
date = {2019-09-26},
journal = {Semantic Web Journal},
volume = {10},
number = {5},
pages = {863-880},
abstract = {Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm. In this paper, we propose a semantic referee, which is able to extract qualitative features of the errors emerging from deep machine learning frameworks and suggest corrections. The semantic referee relies on ontological reasoning about spatial knowledge in order to characterize errors in terms of their spatial relations with the environment. Using semantics, the reasoner interacts with the learning algorithm as a supervisor. In this paper, the proposed method of the interaction between a neural network classifier and a semantic referee shows how to improve the performance of semantic segmentation for satellite imagery data.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm. In this paper, we propose a semantic referee, which is able to extract qualitative features of the errors emerging from deep machine learning frameworks and suggest corrections. The semantic referee relies on ontological reasoning about spatial knowledge in order to characterize errors in terms of their spatial relations with the environment. Using semantics, the reasoner interacts with the learning algorithm as a supervisor. In this paper, the proposed method of the interaction between a neural network classifier and a semantic referee shows how to improve the performance of semantic segmentation for satellite imagery data. |
Jakob Suchan; Mehul Bhatt; Srikrishna Vardarajan Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving Inproceedings In: Sarit Kraus; Thomas Eiter (Ed.): Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, August 10-16, 2019, ((In Press)). Abstract | Links | BibTeX @inproceedings{IJCAI2019-ASP-Vision-Driving,
title = {Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving},
author = {Jakob Suchan and Mehul Bhatt and Srikrishna Vardarajan},
editor = {Sarit Kraus and Thomas Eiter},
url = {https://www.researchgate.net/publication/333521132_Out_of_Sight_But_Not_Out_of_Mind_An_Answer_Set_Programming_Based_Online_Abduction_Framework_for_Visual_Sensemaking_in_Autonomous_Driving},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, August 10-16},
abstract = {We demonstrate the need and potential of systematically integrated vision and semantics solutions for visual sensemaking (in the backdrop of autonomous driving). A general method for online visual sensemaking using answer set programming is systematically formalised and fully implemented. The method integrates state of the art in (deep learning based) visual computing, and is developed as a modular framework usable within hybrid architectures for perception & control. We evaluate and demo with community established benchmarks KITTIMOD and MOT. As use-case, we focus on the significance of human-centred visual sensemaking ---e.g., semantic representation and explainability, question-answering, commonsense interpolation--- in safety-critical autonomous driving situations.},
note = {(In Press)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We demonstrate the need and potential of systematically integrated vision and semantics solutions for visual sensemaking (in the backdrop of autonomous driving). A general method for online visual sensemaking using answer set programming is systematically formalised and fully implemented. The method integrates state of the art in (deep learning based) visual computing, and is developed as a modular framework usable within hybrid architectures for perception & control. We evaluate and demo with community established benchmarks KITTIMOD and MOT. As use-case, we focus on the significance of human-centred visual sensemaking ---e.g., semantic representation and explainability, question-answering, commonsense interpolation--- in safety-critical autonomous driving situations. |
Mehul Bhatt; Jakob Suchan; Srikrishna Vardarajan Deep Semantics for Explainable Visuospatial Intelligence: Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural Features Inproceedings In: Artur Garcez; Freddy Lecue; Derek Doran (Ed.): Proceedings of the 14th International Workshop on Neural-Symbolic Learning and Reasoning (IJCAI 2019), Macao, August 10-16, 2019, ((In Press)). Abstract | Links | BibTeX @inproceedings{NeSy2019-DeepSemantics,
title = {Deep Semantics for Explainable Visuospatial Intelligence: Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural Features},
author = {Mehul Bhatt and Jakob Suchan and Srikrishna Vardarajan},
editor = {Artur Garcez and Freddy Lecue and Derek Doran},
url = {https://www.researchgate.net/publication/333480472_Deep_Semantics_for_Explainable_Visuospatial_Intelligence_Perspectives_on_Integrating_Commonsense_Spatial_Abstractions_and_Low-Level_Neural_Features},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 14th International Workshop on Neural-Symbolic Learning and Reasoning (IJCAI 2019), Macao, August 10-16},
abstract = {High-level semantic interpretation of (dynamic) visual imagery calls for general and systematic methods integrating techniques in knowledge representation and computer vision. Towards this, we position "deep semantics", denoting the existence of declarative models --e.g., pertaining "space and motion"-- and corresponding formalisation and methods supporting (domain-independent) explainability capabilities such as semantic question-answering, relational (and relationally-driven) visuospatial learning, and (non-monotonic) visuospatial abduction. Rooted in recent work, we summarise and report the status quo on deep visuospatial semantics ---and our approach to neurosymbolic integration and explainable visuo-spatial computing in that context--- with developed methods and tools in diverse settings such as behavioural research in psychology, art & social sciences, and autonomous driving.},
note = {(In Press)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
High-level semantic interpretation of (dynamic) visual imagery calls for general and systematic methods integrating techniques in knowledge representation and computer vision. Towards this, we position "deep semantics", denoting the existence of declarative models --e.g., pertaining "space and motion"-- and corresponding formalisation and methods supporting (domain-independent) explainability capabilities such as semantic question-answering, relational (and relationally-driven) visuospatial learning, and (non-monotonic) visuospatial abduction. Rooted in recent work, we summarise and report the status quo on deep visuospatial semantics ---and our approach to neurosymbolic integration and explainable visuo-spatial computing in that context--- with developed methods and tools in diverse settings such as behavioural research in psychology, art & social sciences, and autonomous driving. |
Beidi Li; Carl Schultz; Mehul Bhatt Lambda-Prolog(QS): Functional Spatial Reasoning in Higher Order Logic Programming Inproceedings In: In Proceedings of 14th International Conference on Spatial Information Theory 2019, Regensburg, Germany on September 9-13, 2019., 2019, ((In Press)). BibTeX @inproceedings{COSIT-LambdaSpace,
title = {Lambda-Prolog(QS): Functional Spatial Reasoning in Higher Order Logic Programming},
author = {Beidi Li and Carl Schultz and Mehul Bhatt},
year = {2019},
date = {2019-01-01},
booktitle = {In Proceedings of 14th International Conference on Spatial Information Theory 2019, Regensburg, Germany on September 9-13, 2019.},
note = {(In Press)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sai Krishna Pathi; Andrey Kiselev; Annica Kristoffersson; Dirk Repsilber; Amy Loutfi A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera Journal Article In: Sensors, 19 (14), pp. 3142, 2019. BibTeX @article{pathi2019novel,
title = {A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera},
author = {Sai Krishna Pathi and Andrey Kiselev and Annica Kristoffersson and Dirk Repsilber and Amy Loutfi},
year = {2019},
date = {2019-01-01},
journal = {Sensors},
volume = {19},
number = {14},
pages = {3142},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sai Krishna Pathi; Annica Kristoffersson; Andrey Kiselev; Amy Loutfi F-Formations for Social Interaction in Simulation Using Virtual Agents and Mobile Robotic Telepresence Systems Journal Article In: Multimodal Technologies and Interaction, 3 (4), pp. 69, 2019. BibTeX @article{pathi2019f,
title = {F-Formations for Social Interaction in Simulation Using Virtual Agents and Mobile Robotic Telepresence Systems},
author = {Sai Krishna Pathi and Annica Kristoffersson and Andrey Kiselev and Amy Loutfi},
year = {2019},
date = {2019-01-01},
journal = {Multimodal Technologies and Interaction},
volume = {3},
number = {4},
pages = {69},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lasse Herskind; Alberto Giaretta; Michele De Donno; Nicola Dragoni BitFlow: Enabling real-time cash-flow evaluations through blockchain Journal Article In: Concurrency and Computation: Practice and Experience, pp. e5333, 2019. BibTeX @article{herskind2019bitflow,
title = {BitFlow: Enabling real-time cash-flow evaluations through blockchain},
author = {Lasse Herskind and Alberto Giaretta and Michele De Donno and Nicola Dragoni},
year = {2019},
date = {2019-01-01},
journal = {Concurrency and Computation: Practice and Experience},
pages = {e5333},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Michele De Donno; Alberto Giaretta; Nicola Dragoni; Antonio Bucchiarone; Manuel Mazzara Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era Journal Article In: Future Internet, 11 (6), pp. 127, 2019. BibTeX @article{de2019cyber,
title = {Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era},
author = {Michele De Donno and Alberto Giaretta and Nicola Dragoni and Antonio Bucchiarone and Manuel Mazzara},
year = {2019},
date = {2019-01-01},
journal = {Future Internet},
volume = {11},
number = {6},
pages = {127},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Alberto Giaretta; Nicola Dragoni; Fabio Massacci Protecting the Internet of Things with security-by-contract and Fog computing Inproceedings In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), pp. 1–6, IEEE 2019. BibTeX @inproceedings{giaretta2019protecting,
title = {Protecting the Internet of Things with security-by-contract and Fog computing},
author = {Alberto Giaretta and Nicola Dragoni and Fabio Massacci},
year = {2019},
date = {2019-01-01},
booktitle = {2019 IEEE 5th World Forum on Internet of Things (WF-IoT)},
pages = {1--6},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Federico Tavella; Alberto Giaretta; Triona-Marie Dooley-Cullinane; Mauro Conti; Lee Coffey; Sasitharan Balasubramaniam DNA Molecular Storage System: Transferring Digitally Encoded Information through Bacterial Nanonetworks Journal Article In: IEEE Transactions on Emerging Topics in Computing, 2019. BibTeX @article{tavella2019dna,
title = {DNA Molecular Storage System: Transferring Digitally Encoded Information through Bacterial Nanonetworks},
author = {Federico Tavella and Alberto Giaretta and Triona-Marie Dooley-Cullinane and Mauro Conti and Lee Coffey and Sasitharan Balasubramaniam},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Emerging Topics in Computing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Alberto Giaretta; Nicola Dragoni; Fabio Massacci IoT Security Configurability with Security-by-Contract Journal Article In: Sensors, 19 (19), pp. 4121, 2019. BibTeX @article{giaretta2019iot,
title = {IoT Security Configurability with Security-by-Contract},
author = {Alberto Giaretta and Nicola Dragoni and Fabio Massacci},
year = {2019},
date = {2019-01-01},
journal = {Sensors},
volume = {19},
number = {19},
pages = {4121},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Alberto Giaretta; Stefano Pepe; Nicola Dragoni UniquID: A Quest to Reconcile Identity Access Management and the IoT Inproceedings In: International Conference on Objects, Components, Models and Patterns, pp. 237–251, Springer, Cham 2019. BibTeX @inproceedings{giaretta2019uniquid,
title = {UniquID: A Quest to Reconcile Identity Access Management and the IoT},
author = {Alberto Giaretta and Stefano Pepe and Nicola Dragoni},
year = {2019},
date = {2019-01-01},
booktitle = {International Conference on Objects, Components, Models and Patterns},
pages = {237--251},
organization = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Neziha Akalin; Annica Kristoffersson; Amy Loutfi Evaluating the Sense of Safety and Security in Human--Robot Interaction with Older People Incollection In: Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction, pp. 237–264, Springer, 2019. BibTeX @incollection{akalin2019evaluating,
title = {Evaluating the Sense of Safety and Security in Human--Robot Interaction with Older People},
author = {Neziha Akalin and Annica Kristoffersson and Amy Loutfi},
year = {2019},
date = {2019-01-01},
booktitle = {Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction},
pages = {237--264},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Neziha Akalin; Annica Kristoffersson; Amy Loutfi The Influence of Feedback Type in Robot-Assisted Training Journal Article In: Multimodal Technologies and Interaction, 3 (4), pp. 67, 2019. BibTeX @article{akalin2019influence,
title = {The Influence of Feedback Type in Robot-Assisted Training},
author = {Neziha Akalin and Annica Kristoffersson and Amy Loutfi},
year = {2019},
date = {2019-01-01},
journal = {Multimodal Technologies and Interaction},
volume = {3},
number = {4},
pages = {67},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Cemal Gürpinar; Pinar Uluer; Neziha Akalin; Hatice Köse Sign Recognition System for an Assistive Robot Sign Tutor for Children Journal Article In: International Journal of Social Robotics, pp. 1–15, 2019. BibTeX @article{gurpinar2019sign,
title = {Sign Recognition System for an Assistive Robot Sign Tutor for Children},
author = {Cemal Gürp{i}nar and P{i}nar Uluer and Neziha Akal{i}n and Hatice Köse},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Social Robotics},
pages = {1--15},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
Neziha Akalin; Andrey Kiselev; Annica Kristoffersson; Amy Loutfi The Relevance of Social Cues in Assistive Training with a Social Robot Inproceedings In: International Conference on Social Robotics, pp. 462–471, Springer 2018. BibTeX @inproceedings{akalin2018relevance,
title = {The Relevance of Social Cues in Assistive Training with a Social Robot},
author = {Neziha Akalin and Andrey Kiselev and Annica Kristoffersson and Amy Loutfi},
year = {2018},
date = {2018-12-31},
booktitle = {International Conference on Social Robotics},
pages = {462--471},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Jennifer Renoux; Uwe Köckemann; Amy Loutfi Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning Inproceedings In: Proceedings of the 2018 European Conference on Ambient Intelligence, Larnaca, Cyprus, 2018. Abstract | Links | BibTeX @inproceedings{renoux2018online,
title = {Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning},
author = {Jennifer Renoux and Uwe Köckemann and Amy Loutfi},
url = {http://www.jenniferrenoux.com/wp-content/uploads/2018/11/jrx_ukn_ali.pdf
http://www.jenniferrenoux.com/wp-content/uploads/2018/10/jrx_ukn_ali.pdf},
year = {2018},
date = {2018-12-14},
booktitle = {Proceedings of the 2018 European Conference on Ambient Intelligence},
address = {Larnaca, Cyprus},
abstract = {Smart home environments equipped with distributed sensor networks are capable of helping people by providing services related to health, emergency detection or daily routine management. A backbone to these systems relies often on the system’s ability to track and detect activities performed by the users in their home. Despite the continuous progress in the area of activity recognition in smart homes, many systems make a strong underlying assumption that the number of occupants in the home at any given moment of time is always known. This paper presents a probabilistic approach able to estimate the number of persons in the environment at each time step. This approach works in two steps: first, an estimate of the number of persons present in the environment is done using a Constraint Satisfaction Problem solver, based on the topology of the sensor network and the sensor activation pattern at this time point. Then, a Hidden Markov Model refines this estimate by considering the uncertainty related to the sensors. Using both simulated and real data, our method has been tested and validated on two smart homes of different sizes and configuration and demonstrates the ability to accurately estimate the number of inhabitants.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Smart home environments equipped with distributed sensor networks are capable of helping people by providing services related to health, emergency detection or daily routine management. A backbone to these systems relies often on the system’s ability to track and detect activities performed by the users in their home. Despite the continuous progress in the area of activity recognition in smart homes, many systems make a strong underlying assumption that the number of occupants in the home at any given moment of time is always known. This paper presents a probabilistic approach able to estimate the number of persons in the environment at each time step. This approach works in two steps: first, an estimate of the number of persons present in the environment is done using a Constraint Satisfaction Problem solver, based on the topology of the sensor network and the sensor activation pattern at this time point. Then, a Hidden Markov Model refines this estimate by considering the uncertainty related to the sensors. Using both simulated and real data, our method has been tested and validated on two smart homes of different sizes and configuration and demonstrates the ability to accurately estimate the number of inhabitants. |
Jennifer Renoux; Franziska Klügl Simulating Daily Activities in a Smart Home for Data Generation Inproceedings In: Proceedings of the Winter Simulation Conference, Gothenburg, Sweden, 2018. Abstract | Links | BibTeX @inproceedings{renoux2018simulating,
title = {Simulating Daily Activities in a Smart Home for Data Generation},
author = {Jennifer Renoux and Franziska Klügl},
url = {http://www.jenniferrenoux.com/wp-content/uploads/2018/10/main.pdf},
year = {2018},
date = {2018-12-09},
booktitle = {Proceedings of the Winter Simulation Conference},
address = {Gothenburg, Sweden},
abstract = {Smart Homes are currently one of the hottest topics in the market of Internet of Things and Augmented Living. However, in order to provide high-level intelligent solutions, algorithms need to be developed that take into account which activities the inhabitants intend to perform. Sensor data plays an essential role in their development, ranging from testing the algorithms to learning underlying rules for classifying and connecting sensor patterns and to inhabitant activities. However, currently only few and limited data sets are available. In this contribution we present concepts and solutions for generating high-quality data using a flexible agent-based simulation tool. Hereby, we integrate the simulation of a sensorized apartment with human behaviour modeling. We selected a constraint-based planning approach for producing a sequence of daily activities of a human inhabitant. The overall set-up is shown to produce data that exhibits the same relevant properties than a comparable real-world scenario and thus can be used to replace expensive data collection campaigns.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Smart Homes are currently one of the hottest topics in the market of Internet of Things and Augmented Living. However, in order to provide high-level intelligent solutions, algorithms need to be developed that take into account which activities the inhabitants intend to perform. Sensor data plays an essential role in their development, ranging from testing the algorithms to learning underlying rules for classifying and connecting sensor patterns and to inhabitant activities. However, currently only few and limited data sets are available. In this contribution we present concepts and solutions for generating high-quality data using a flexible agent-based simulation tool. Hereby, we integrate the simulation of a sensorized apartment with human behaviour modeling. We selected a constraint-based planning approach for producing a sequence of daily activities of a human inhabitant. The overall set-up is shown to produce data that exhibits the same relevant properties than a comparable real-world scenario and thus can be used to replace expensive data collection campaigns. |
Marjan Alirezaie; Karl Hammar; Eva Blomqvist; Mikael Nystrom; Valentina Ivanova SmartEnv Ontology in E-care@home Workshop Proceedings of the 9th International Semantic Sensor Networks Workshop, 2213 , 2018, ISSN: 1613-0073. BibTeX @workshop{AlirezaieSSN2018,
title = {SmartEnv Ontology in E-care@home},
author = {Marjan Alirezaie and Karl Hammar and Eva Blomqvist and Mikael Nystrom and Valentina Ivanova},
issn = {1613-0073},
year = {2018},
date = {2018-09-10},
booktitle = {Proceedings of the 9th International Semantic Sensor Networks Workshop},
volume = {2213},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
|
Mehul Bhatt Minds. Movement. Moving Image Journal Article In: Cognitive Processing, 19 (Suppl. 1), pp. S5–S5, 2018, (as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018)). Links | BibTeX @article{Bhatt-ICSC18-MMM-Symposia,
title = {Minds. Movement. Moving Image},
author = {Mehul Bhatt},
doi = {10.1007/s10339-018-0884-3},
year = {2018},
date = {2018-09-01},
journal = {Cognitive Processing},
volume = {19},
number = {Suppl. 1},
pages = {S5--S5},
institution = {University of Bremen, Bremen, Germany},
note = {as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mehul Bhatt Embodied Architecture Design : On people-centered design of visuo-locomotive cognitive experiences Journal Article In: Cognitive Processing, 19 (Suppl. 1), pp. S5–S5, 2018, (as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018)). Links | BibTeX @article{Bhatt-ICSC18-Embodied,
title = {Embodied Architecture Design : On people-centered design of visuo-locomotive cognitive experiences},
author = {Mehul Bhatt},
doi = {10.1007/s10339-018-0884-3},
year = {2018},
date = {2018-09-01},
journal = {Cognitive Processing},
volume = {19},
number = {Suppl. 1},
pages = {S5--S5},
institution = {University of Bremen, Bremen, Germany},
note = {as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Vasiliki Kondyli; Mehul Bhatt Decision points in architectural space : How they affect users' visuo-locomotive experience during wayfinding Journal Article In: Cognitive Processing, 19 (Suppl. 1), pp. S43–S43, 2018, (as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018).). Links | BibTeX @article{Kondyli-Bhatt-ICSC18-Decision,
title = {Decision points in architectural space : How they affect users' visuo-locomotive experience during wayfinding},
author = {Vasiliki Kondyli and Mehul Bhatt},
doi = {10.1007/s10339-018-0884-3},
year = {2018},
date = {2018-09-01},
journal = {Cognitive Processing},
volume = {19},
number = {Suppl. 1},
pages = {S43--S43},
institution = {DesignSpace Group, University of Bremen, Bremen, Germany},
note = {as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018).},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mehul Bhatt Cognitive Media Studies : Potentials for Spatial Cognition and AI research Journal Article In: Cognitive Processing, 19 (Suppl. 1), pp. S6–S6, 2018, (as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018)). Links | BibTeX @article{Bhatt-ICSC18-CogMedia,
title = {Cognitive Media Studies : Potentials for Spatial Cognition and AI research},
author = {Mehul Bhatt},
doi = {10.1007/s10339-018-0884-3},
year = {2018},
date = {2018-09-01},
journal = {Cognitive Processing},
volume = {19},
number = {Suppl. 1},
pages = {S6--S6},
institution = {University of Bremen, Bremen, Germany},
note = {as part of: Spatial Cognition in a Multimedia and Intercultural World Proceedings of the 7th International Conference on Spatial Cognition (ICSC 2018)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Michael Sioutis; Amy Loutfi Efficient Dynamic Methods for Qualitative Constraint-based Spatial and Temporal Reasoning (Position Paper) Workshop PTHG-18: The Second Workshop on Progress Towards the Holy Grail, 2018. Abstract | Links | BibTeX @workshop{CP-PTHG,
title = {Efficient Dynamic Methods for Qualitative Constraint-based Spatial and Temporal Reasoning (Position Paper)},
author = {Michael Sioutis and Amy Loutfi},
url = {https://freuder.files.wordpress.com/2018/08/sioutis-loutfi.pdf},
year = {2018},
date = {2018-08-27},
booktitle = {PTHG-18: The Second Workshop on Progress Towards the Holy Grail},
abstract = {We describe a research roadmap for going beyond the state of the art in Qualitative Spatial and Temporal Reasoning (QSTR). Our proposal involves researching novel local consistencies in the aforementioned discipline, and defining dynamic algorithms pertaining to these consistencies that can allow for efficient reasoning over streams of spatio-temporal information. Simply put, QSTR is a major field of study in Artificial Intelligence that abstracts from numerical quantities of space and time by using qualitative descriptions instead (e.g., precedes, contains, is left of); thus, it provides a concise framework that allows for rather inexpensive reasoning about entities located in space or time. Applications of QSTR are found in a plethora of areas and domains such as smart environments, planning, and unmanned aircraft systems.},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
We describe a research roadmap for going beyond the state of the art in Qualitative Spatial and Temporal Reasoning (QSTR). Our proposal involves researching novel local consistencies in the aforementioned discipline, and defining dynamic algorithms pertaining to these consistencies that can allow for efficient reasoning over streams of spatio-temporal information. Simply put, QSTR is a major field of study in Artificial Intelligence that abstracts from numerical quantities of space and time by using qualitative descriptions instead (e.g., precedes, contains, is left of); thus, it provides a concise framework that allows for rather inexpensive reasoning about entities located in space or time. Applications of QSTR are found in a plethora of areas and domains such as smart environments, planning, and unmanned aircraft systems. |
Gael Glorian; Jean-Marie Lagniez; Valentin Montmirail; Michael Sioutis An Incremental SAT-Based Approach to Reason Efficiently on Qualitative Constraint Networks Inproceedings In: Proceedings of the 24th International Conference on Principles and Practice of Constraint Programming, CP 2018, Lille, France, August 27-31, 2018, pp. 160–178, Springer, 2018. Links | BibTeX @inproceedings{DBLP:conf/cp/GlorianLMS18,
title = {An Incremental SAT-Based Approach to Reason Efficiently on Qualitative Constraint Networks},
author = {Gael Glorian and Jean-Marie Lagniez and Valentin Montmirail and Michael Sioutis},
url = {https://doi.org/10.1007/978-3-319-98334-9_11},
doi = {10.1007/978-3-319-98334-9_11},
year = {2018},
date = {2018-08-27},
booktitle = {Proceedings of the 24th International Conference on Principles and Practice of Constraint Programming, CP 2018, Lille, France, August 27-31, 2018},
volume = {11008},
pages = {160--178},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Neziha Akalin; Andrey Kiselev; Annica Kristoffersson; Amy Loutfi Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning Inproceedings In: Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction, 2018. BibTeX @inproceedings{akalinenhancing,
title = {Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning},
author = {Neziha Akalin and Andrey Kiselev and Annica Kristoffersson and Amy Loutfi},
year = {2018},
date = {2018-07-15},
booktitle = {Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marjan Alirezaie; Martin Längkvist; Michael Sioutis; Amy Loutfi A Symbolic Approach for Explaining Errors in Image Classification Tasks Workshop IJCAI Workshop on Learning and Reasoning: Principles & Applications to Everyday Spatial and Temporal Knowledge, 2018. Abstract | Links | BibTeX @workshop{IJCAI-LR,
title = {A Symbolic Approach for Explaining Errors in Image Classification Tasks},
author = {Marjan Alirezaie and Martin Längkvist and Michael Sioutis and Amy Loutfi},
url = {http://www.iiia.csic.es/LR2018/files/Alirezaie.pdf},
year = {2018},
date = {2018-07-14},
booktitle = {IJCAI Workshop on Learning and Reasoning: Principles & Applications to Everyday Spatial and Temporal Knowledge},
abstract = {Machine learning algorithms, despite their increasing success in handling object recognition tasks, still seldom perform without error. Often the process of understanding why the algorithm has failed is the task of the human who, using domain knowledge and contextual information, can discover systematic shortcomings in either the data or the algorithm. This paper presents an approach where the process of reasoning about errors emerging from a machine learning framework is automated using symbolic techniques. By utilizing spatial and geometrical reasoning between objects in a scene, the system is able to describe misclassified regions in relation to its context. The system is demonstrated in the remote sensing domain where objects and entities
are detected in satellite images.},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
Machine learning algorithms, despite their increasing success in handling object recognition tasks, still seldom perform without error. Often the process of understanding why the algorithm has failed is the task of the human who, using domain knowledge and contextual information, can discover systematic shortcomings in either the data or the algorithm. This paper presents an approach where the process of reasoning about errors emerging from a machine learning framework is automated using symbolic techniques. By utilizing spatial and geometrical reasoning between objects in a scene, the system is able to describe misclassified regions in relation to its context. The system is demonstrated in the remote sensing domain where objects and entities
are detected in satellite images. |
Uwe Köckemann; Marjan Alirezaie; Lars Karlsson; Amy Loutfi Integrating Ontologies for Context-based Constraint-based Planning Workshop MRC-2018, 2018. Links | BibTeX @workshop{MRC-2018-Koeckemann_EtAl,
title = {Integrating Ontologies for Context-based Constraint-based Planning},
author = {Uwe Köckemann and Marjan Alirezaie and Lars Karlsson and Amy Loutfi},
url = {http://ceur-ws.org/Vol-2134/#paper06},
year = {2018},
date = {2018-07-09},
booktitle = {MRC-2018},
pages = {22-29},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
|
Vasiliki Kondyli; Mehul Bhatt Spatial knowledge update in rotational locomotion. On the role of visuo-spatial cues and familiarity. A case-study at the Bremen train-station. Inproceedings In: Proceedings of the 16th European Workshop on Imagery and Cognition (EWIC), From World to Mind: Images and Representations, Padua, Italy, 2018. BibTeX @inproceedings{KondyliEWIC2018,
title = {Spatial knowledge update in rotational locomotion. On the role of visuo-spatial cues and familiarity. A case-study at the Bremen train-station.},
author = {Vasiliki Kondyli and Mehul Bhatt},
year = {2018},
date = {2018-06-01},
booktitle = {Proceedings of the 16th European Workshop on Imagery and Cognition (EWIC), From World to Mind: Images and Representations},
address = {Padua, Italy},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
