Journal Articles
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Forehead, Hugh; Barthelemy, Johan; Arshad, Bilal; Verstaevel, Nicolas; Price, Owen; Perez, Pascal Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors Journal Article PLOS ONE, 15 (4), pp. 1-17, 2020. Abstract | Links | BibTeX | Tags: @article{10.1371/journal.pone.0231778,
title = {Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors},
author = {Hugh Forehead and Johan Barthelemy and Bilal Arshad and Nicolas Verstaevel and Owen Price and Pascal Perez},
url = {https://doi.org/10.1371/journal.pone.0231778},
doi = {10.1371/journal.pone.0231778},
year = {2020},
date = {2020-01-01},
journal = {PLOS ONE},
volume = {15},
number = {4},
pages = {1-17},
publisher = {Public Library of Science},
abstract = {Air pollution with PM2.5 (particulate matter smaller than 2.5 micro-metres in diameter) is a major health hazard in many cities worldwide, but since measuring instruments have traditionally been expensive, monitoring sites are rare and generally show only background concentrations. With the advent of low-cost, wirelessly connected sensors, air quality measurements are increasingly being made in places where many people spend time and pollution is much worse: on streets near traffic. In the interests of enabling members of the public to measure the air that they breathe, we took an open-source approach to designing a device for measuring PM2.5. Parts are relatively cheap, but of good quality and can be easily found in electronics or hardware stores, or on-line. Software is open source and the free LoRaWAN-based “The Things Network” the platform. A number of low-cost sensors we tested had problems, but those selected performed well when co-located with reference-quality instruments. A network of the devices was deployed in an urban centre, yielding valuable data for an extended time. Concentrations of PM2.5 at street level were often ten times worse than at air quality stations. The devices and network offer the opportunity for measurements in locations that concern the public.},
keywords = {},
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Air pollution with PM2.5 (particulate matter smaller than 2.5 micro-metres in diameter) is a major health hazard in many cities worldwide, but since measuring instruments have traditionally been expensive, monitoring sites are rare and generally show only background concentrations. With the advent of low-cost, wirelessly connected sensors, air quality measurements are increasingly being made in places where many people spend time and pollution is much worse: on streets near traffic. In the interests of enabling members of the public to measure the air that they breathe, we took an open-source approach to designing a device for measuring PM2.5. Parts are relatively cheap, but of good quality and can be easily found in electronics or hardware stores, or on-line. Software is open source and the free LoRaWAN-based “The Things Network” the platform. A number of low-cost sensors we tested had problems, but those selected performed well when co-located with reference-quality instruments. A network of the devices was deployed in an urban centre, yielding valuable data for an extended time. Concentrations of PM2.5 at street level were often ten times worse than at air quality stations. The devices and network offer the opportunity for measurements in locations that concern the public. |
Ogie, RI; Verstaevel, N Disaster informatics: An overview Journal Article Progress in Disaster Science, pp. 100111, 2020. BibTeX | Tags: @article{ogie2020disaster,
title = {Disaster informatics: An overview},
author = {RI Ogie and N Verstaevel},
year = {2020},
date = {2020-01-01},
journal = {Progress in Disaster Science},
pages = {100111},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Verstaevel, Nicolas; Barthélemy, Johan; Forehead, Hugh; Arshad, Bilal; Perez, Pascal Assessing the effects of mobility on air quality: The Liverpool Smart Pedestrian project Journal Article Transportation Research Procedia, 48 , pp. 2197 - 2206, 2020, ISSN: 2352-1465, (Recent Advances and Emerging Issues in Transport Research – An Editorial Note for the Selected Proceedings of WCTR 2019 Mumbai). Abstract | Links | BibTeX | Tags: @article{VERSTAEVEL20202197,
title = {Assessing the effects of mobility on air quality: The Liverpool Smart Pedestrian project},
author = {Nicolas Verstaevel and Johan Barthélemy and Hugh Forehead and Bilal Arshad and Pascal Perez},
url = {http://www.sciencedirect.com/science/article/pii/S2352146520306967},
doi = {https://doi.org/10.1016/j.trpro.2020.08.276},
issn = {2352-1465},
year = {2020},
date = {2020-01-01},
journal = {Transportation Research Procedia},
volume = {48},
pages = {2197 - 2206},
abstract = {With the drastic increase of their urban population, cities face huge challenges to maintain and update their infrastructures. Assessing in real time the effect of urban policies will be a key tool in the future of urban planning. In this paper, we discuss of mobility and its impact on air quality. We introduce a pilot project in which low cost IoT sensors are used to monitor flow of cars and pedestrians and concentration of particulate matters within the Australian city of Liverpool.},
note = {Recent Advances and Emerging Issues in Transport Research – An Editorial Note for the Selected Proceedings of WCTR 2019 Mumbai},
keywords = {},
pubstate = {published},
tppubtype = {article}
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With the drastic increase of their urban population, cities face huge challenges to maintain and update their infrastructures. Assessing in real time the effect of urban policies will be a key tool in the future of urban planning. In this paper, we discuss of mobility and its impact on air quality. We introduce a pilot project in which low cost IoT sensors are used to monitor flow of cars and pedestrians and concentration of particulate matters within the Australian city of Liverpool. |
Barthélemy, Johan; Verstaevel, Nicolas; Forehead, Hugh; Perez, Pascal Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City Journal Article Sensors, 19 (9), 2019, ISSN: 1424-8220. Abstract | Links | BibTeX | Tags: @article{s19092048,
title = {Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City},
author = {Johan Barthélemy and Nicolas Verstaevel and Hugh Forehead and Pascal Perez},
url = {https://www.mdpi.com/1424-8220/19/9/2048},
doi = {10.3390/s19092048},
issn = {1424-8220},
year = {2019},
date = {2019-01-01},
journal = {Sensors},
volume = {19},
number = {9},
abstract = {The increasing development of urban centers brings serious challenges for traffic management. In this paper, we introduce a smart visual sensor, developed for a pilot project taking place in the Australian city of Liverpool (NSW). The project’s aim was to design and evaluate an edge-computing device using computer vision and deep neural networks to track in real-time multi-modal transportation while ensuring citizens’ privacy. The performance of the sensor was evaluated on a town center dataset. We also introduce the interoperable Agnosticity framework designed to collect, store and access data from multiple sensors, with results from two real-world experiments.},
keywords = {},
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tppubtype = {article}
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The increasing development of urban centers brings serious challenges for traffic management. In this paper, we introduce a smart visual sensor, developed for a pilot project taking place in the Australian city of Liverpool (NSW). The project’s aim was to design and evaluate an edge-computing device using computer vision and deep neural networks to track in real-time multi-modal transportation while ensuring citizens’ privacy. The performance of the sensor was evaluated on a town center dataset. We also introduce the interoperable Agnosticity framework designed to collect, store and access data from multiple sensors, with results from two real-world experiments. |
Arshad, Bilal; Ogie, Robert; Barthélemy, Johan; Pradhan, Biswajeet; Verstaevel, Nicolas; Pérez, Pascal Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review Journal Article Sensors, Environmental Sensor Networks: Applications, Recent Advances and Challenges, 19(22), 5012 , pp. (on line), 2019. Abstract | Links | BibTeX | Tags: @article{ArOgBaPrVePé2019.1,
title = {Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review},
author = {Bilal Arshad and Robert Ogie and Johan Barthélemy and Biswajeet Pradhan and Nicolas Verstaevel and Pascal Pérez},
url = {https://www.mdpi.com/1424-8220/19/22/5012/htm},
year = {2019},
date = {2019-00-01},
journal = {Sensors, Environmental Sensor Networks: Applications, Recent Advances and Challenges},
volume = {19(22), 5012},
pages = {(on line)},
publisher = {MDPI Publishing},
address = {http://www.mdpi.com},
abstract = {Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoonsan aspect that is under-explored in the literature.},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoonsan aspect that is under-explored in the literature. |
Verstaevel, Nicolas; Régis, Christine; Gleizes, Marie-Pierre; Robert, Fabrice Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotics Journal Article Future Generation Computer Systems, 64 , pp. 78 - 87, 2016, ISSN: 0167-739X. Links | BibTeX | Tags: @article{VERSTAEVEL201678,
title = {Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotics},
author = {Nicolas Verstaevel and Christine Régis and Marie-Pierre Gleizes and Fabrice Robert},
url = {http://www.sciencedirect.com/science/article/pii/S0167739X1630067X},
doi = {https://doi.org/10.1016/j.future.2016.03.023},
issn = {0167-739X},
year = {2016},
date = {2016-01-01},
journal = {Future Generation Computer Systems},
volume = {64},
pages = {78 - 87},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Guastella, Davide Andrea; Verstaevel, Nicolas; Valenti, Cesare; Arshad, Bilal; Barthélemy, Johan Evaluating Correlations in IoT Sensors for Smart Buildings Journal Article 0000. BibTeX | Tags: @article{guastellaevaluating,
title = {Evaluating Correlations in IoT Sensors for Smart Buildings},
author = {Davide Andrea Guastella and Nicolas Verstaevel and Cesare Valenti and Bilal Arshad and Johan Barthélemy},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Inproceedings
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Perotto, Filipo Studzinski; Verstaevel, Nicolas; Trabelsi, Imen; Vercouter, Laurent Combining Bandits and Lexical Analysis for Document Retrieval in a
Juridical Corpora Inproceedings Bramer, Max; Ellis, Richard (Ed.): Artificial Intelligence XXXVII - 40th SGAI International Conference
on Artificial Intelligence, AI 2020, Cambridge, UK, December 15-17,
2020, Proceedings, pp. 317–330, Springer, 2020. Links | BibTeX | Tags: @inproceedings{DBLP:conf/sgai/PerottoVTV20,
title = {Combining Bandits and Lexical Analysis for Document Retrieval in a
Juridical Corpora},
author = {Filipo Studzinski Perotto and Nicolas Verstaevel and Imen Trabelsi and Laurent Vercouter},
editor = {Max Bramer and Richard Ellis},
url = {https://doi.org/10.1007/978-3-030-63799-6_24},
doi = {10.1007/978-3-030-63799-6_24},
year = {2020},
date = {2020-01-01},
booktitle = {Artificial Intelligence XXXVII - 40th SGAI International Conference
on Artificial Intelligence, AI 2020, Cambridge, UK, December 15-17,
2020, Proceedings},
volume = {12498},
pages = {317--330},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Garzone, Guillaume; Monteil, Thierry; Guermouche, Nawal; Barthelemy, Johan; Perez, Pascal An Ontology Based Context-Aware Architecture for Smart Campus Applications Inproceedings IEEE International Conference on Parallel & Distributed Processing
with Applications, Ubiquitous Computing & Communications, Big
Data & Cloud Computing, Social Computing & Networking,
Sustainable Computing & Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom
2018, Melbourne, Australia, December 11-13, 2018, pp. 1056–1063, 2018. Links | BibTeX | Tags: @inproceedings{DBLP:conf/ispa/VerstaevelG0GBP18,
title = {An Ontology Based Context-Aware Architecture for Smart Campus Applications},
author = {Nicolas Verstaevel and Guillaume Garzone and Thierry Monteil and Nawal Guermouche and Johan Barthelemy and Pascal Perez},
url = {https://doi.org/10.1109/BDCloud.2018.00158},
doi = {10.1109/BDCloud.2018.00158},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE International Conference on Parallel & Distributed Processing
with Applications, Ubiquitous Computing & Communications, Big
Data & Cloud Computing, Social Computing & Networking,
Sustainable Computing & Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom
2018, Melbourne, Australia, December 11-13, 2018},
pages = {1056--1063},
crossref = {DBLP:conf/ispa/2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Dato, Bruno; Verstaevel, Nicolas; Migeon, Frédéric; Gleizes, Marie Pierre Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage (démonstration) Inproceedings Distribution et Décentralisation - Vingt-sixièmes
journées francophones sur les systèmes multi-agents,
JFSMA 2018, Métabief, France, 10-12 Octobre 2018., pp. 231–232, 2018. BibTeX | Tags: @inproceedings{DBLP:conf/jfsma/DatoVMG18,
title = {Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage (démonstration)},
author = {Bruno Dato and Nicolas Verstaevel and Frédéric Migeon and Marie Pierre Gleizes},
year = {2018},
date = {2018-01-01},
booktitle = {Distribution et Décentralisation - Vingt-sixièmes
journées francophones sur les systèmes multi-agents,
JFSMA 2018, Métabief, France, 10-12 Octobre 2018.},
pages = {231--232},
crossref = {DBLP:conf/jfsma/2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Georgé, Jean-Pierre; Bernon, Carole; Gleizes, Marie Pierre A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People Inproceedings 12th IEEE International Conference on Self-Adaptive and Self-Organizing
Systems, SASO 2018, Trento, Italy, September 3-7, 2018, pp. 70–79, 2018. Links | BibTeX | Tags: @inproceedings{DBLP:conf/saso/VerstaevelGBG18,
title = {A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People},
author = {Nicolas Verstaevel and Jean-Pierre Georgé and Carole Bernon and Marie Pierre Gleizes},
url = {https://doi.org/10.1109/SASO.2018.00018},
doi = {10.1109/SASO.2018.00018},
year = {2018},
date = {2018-01-01},
booktitle = {12th IEEE International Conference on Self-Adaptive and Self-Organizing
Systems, SASO 2018, Trento, Italy, September 3-7, 2018},
pages = {70--79},
crossref = {DBLP:conf/saso/2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Georgé, Jean-Pierre; Bernon, Carole; Gleizes, Marie-Pierre A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People Inproceedings Bucchiarone, Antonio; Montresor, Alberto (Ed.): IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018), Trento, 03/09/2018-07/09/2018, pp. 70–79, CPS (Conference Publishing Services), http://www.computer.org/portal/web/cscps/home, 2018. Abstract | Links | BibTeX | Tags: @inproceedings{Ve2018.3,
title = {A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People },
author = {Nicolas Verstaevel and Jean-Pierre Georgé and Carole Bernon and Marie-Pierre Gleizes},
editor = {Antonio Bucchiarone and Alberto Montresor},
url = {https://www.irit.fr/publis/SMAC/DOCUMENTS/PUBLIS/3Pegase_SASO_2018.pdf - http://oatao.univ-toulouse.fr/22534/},
year = {2018},
date = {2018-00-01},
booktitle = {IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018), Trento, 03/09/2018-07/09/2018},
pages = {70--79},
publisher = {CPS (Conference Publishing Services)},
address = {http://www.computer.org/portal/web/cscps/home},
abstract = {In a context of a rapidly growing population of elderly people, this paper introduces a novel method for behavioural anomaly detection relying on a self-organized learning process. This method ¿rst models the Circadian Activity Rhythm of a set of sensors and compares it to a nominal pro¿le to determine variations in patients' activities. The anomalies are detected by a multi-agent system as a linear relation of those variations, weighted by in¿uence parameters. The problem of adaptation to a particular patient then becomes the problem of learning the adequate in¿uence parameters. Those in¿uence parameters are self-adjusted, using feedback provided at any time by the medical staff. This approach is evaluated on a synthetic environment and results show both the capacity to effectively learn in¿uence parameters and the resilience of this system to parameter size. Details on the ongoing real-world experimentation are provided.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In a context of a rapidly growing population of elderly people, this paper introduces a novel method for behavioural anomaly detection relying on a self-organized learning process. This method ¿rst models the Circadian Activity Rhythm of a set of sensors and compares it to a nominal pro¿le to determine variations in patients' activities. The anomalies are detected by a multi-agent system as a linear relation of those variations, weighted by in¿uence parameters. The problem of adaptation to a particular patient then becomes the problem of learning the adequate in¿uence parameters. Those in¿uence parameters are self-adjusted, using feedback provided at any time by the medical staff. This approach is evaluated on a synthetic environment and results show both the capacity to effectively learn in¿uence parameters and the resilience of this system to parameter size. Details on the ongoing real-world experimentation are provided. |
Nigon, Julien; Verstaevel, Nicolas; Boes, Jérémy; Migeon, Frédéric; Gleizes, Marie Pierre Smart Is a Matter of Context Inproceedings Modeling and Using Context - 10th International and Interdisciplinary
Conference, CONTEXT 2017, Paris, France, June 20-23, 2017, Proceedings, pp. 189–202, 2017. Links | BibTeX | Tags: @inproceedings{DBLP:conf/context/NigonVBMG17,
title = {Smart Is a Matter of Context},
author = {Julien Nigon and Nicolas Verstaevel and Jérémy Boes and Frédéric Migeon and Marie Pierre Gleizes},
url = {https://doi.org/10.1007/978-3-319-57837-8_15},
doi = {10.1007/978-3-319-57837-8_15},
year = {2017},
date = {2017-01-01},
booktitle = {Modeling and Using Context - 10th International and Interdisciplinary
Conference, CONTEXT 2017, Paris, France, June 20-23, 2017, Proceedings},
pages = {189--202},
crossref = {DBLP:conf/context/2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Boes, Jérémy; Nigon, Julien; d'Amico, Dorian; Gleizes, Marie Pierre Lifelong Machine Learning with Adaptive Multi-Agent Systems Inproceedings Proceedings of the 9th International Conference on Agents and Artificial
Intelligence, ICAART 2017, Volume 2, Porto, Portugal, February 24-26,
2017., pp. 275–286, 2017. Links | BibTeX | Tags: @inproceedings{DBLP:conf/icaart/VerstaevelBNdG17,
title = {Lifelong Machine Learning with Adaptive Multi-Agent Systems},
author = {Nicolas Verstaevel and Jérémy Boes and Julien Nigon and Dorian d'Amico and Marie Pierre Gleizes},
url = {https://doi.org/10.5220/0006247302750286},
doi = {10.5220/0006247302750286},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 9th International Conference on Agents and Artificial
Intelligence, ICAART 2017, Volume 2, Porto, Portugal, February 24-26,
2017.},
pages = {275--286},
crossref = {DBLP:conf/icaart/2017-2},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Piche, Paul; Belghache, Elhadi; Verstaevel, Nicolas; Lartigue, Bérangère Impact of eco-feedback on the behavior of campus users Inproceedings 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing,
Advanced & Trusted Computed, Scalable Computing & Communications,
Cloud & Big Data Computing, Internet of People and Smart City
Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017, San Francisco,
CA, USA, August 4-8, 2017, pp. 1–6, 2017. Links | BibTeX | Tags: @inproceedings{DBLP:conf/uic/PicheBVL17,
title = {Impact of eco-feedback on the behavior of campus users},
author = {Paul Piche and Elhadi Belghache and Nicolas Verstaevel and Bérangère Lartigue},
url = {https://doi.org/10.1109/UIC-ATC.2017.8397401},
doi = {10.1109/UIC-ATC.2017.8397401},
year = {2017},
date = {2017-01-01},
booktitle = {2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing,
Advanced & Trusted Computed, Scalable Computing & Communications,
Cloud & Big Data Computing, Internet of People and Smart City
Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017, San Francisco,
CA, USA, August 4-8, 2017},
pages = {1--6},
crossref = {DBLP:conf/uic/2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Boes, Jérémy; Gleizes, Marie Pierre From smart campus to smart cities issues of the smart revolution Inproceedings 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing,
Advanced & Trusted Computed, Scalable Computing & Communications,
Cloud & Big Data Computing, Internet of People and Smart City
Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017, San Francisco,
CA, USA, August 4-8, 2017, pp. 1–6, 2017. Links | BibTeX | Tags: @inproceedings{DBLP:conf/uic/VerstaevelBG17,
title = {From smart campus to smart cities issues of the smart revolution},
author = {Nicolas Verstaevel and Jérémy Boes and Marie Pierre Gleizes},
url = {https://doi.org/10.1109/UIC-ATC.2017.8397400},
doi = {10.1109/UIC-ATC.2017.8397400},
year = {2017},
date = {2017-01-01},
booktitle = {2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing,
Advanced & Trusted Computed, Scalable Computing & Communications,
Cloud & Big Data Computing, Internet of People and Smart City
Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017, San Francisco,
CA, USA, August 4-8, 2017},
pages = {1--6},
crossref = {DBLP:conf/uic/2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Régis, Christine; Gleizes, Marie Pierre; Robert, Fabrice Principles and Experimentations of Self-organizing Embedded Agents Allowing Learning from Demonstration in Ambient Robotic Inproceedings Proceedings of the 6th International Conference on Ambient Systems,
Networks and Technologies (ANT 2015), the 5th International Conference
on Sustainable Energy Information Technology (SEIT-2015), London,
UK, June 2-5, 2015, pp. 194–201, 2015. Links | BibTeX | Tags: @inproceedings{DBLP:conf/ant/VerstaevelRGR15,
title = {Principles and Experimentations of Self-organizing Embedded Agents Allowing Learning from Demonstration in Ambient Robotic},
author = {Nicolas Verstaevel and Christine Régis and Marie Pierre Gleizes and Fabrice Robert},
url = {https://doi.org/10.1016/j.procs.2015.05.056},
doi = {10.1016/j.procs.2015.05.056},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 6th International Conference on Ambient Systems,
Networks and Technologies (ANT 2015), the 5th International Conference
on Sustainable Energy Information Technology (SEIT-2015), London,
UK, June 2-5, 2015},
pages = {194--201},
crossref = {DBLP:conf/ant/2015},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Boes, Jérémy; Nigon, Julien; Verstaevel, Nicolas; Gleizes, Marie Pierre; Migeon, Frédéric The Self-Adaptive Context Learning Pattern: Overview and Proposal Inproceedings Modeling and Using Context - 9th International and Interdisciplinary
Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings, pp. 91–104, 2015. Links | BibTeX | Tags: @inproceedings{DBLP:conf/context/BoesNVGM15,
title = {The Self-Adaptive Context Learning Pattern: Overview and Proposal},
author = {Jérémy Boes and Julien Nigon and Nicolas Verstaevel and Marie Pierre Gleizes and Frédéric Migeon},
url = {https://doi.org/10.1007/978-3-319-25591-0_7},
doi = {10.1007/978-3-319-25591-0_7},
year = {2015},
date = {2015-01-01},
booktitle = {Modeling and Using Context - 9th International and Interdisciplinary
Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings},
pages = {91--104},
crossref = {DBLP:conf/context/2015},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Régis, Christine; Guivarch, Valérian; Gleizes, Marie Pierre; Robert, Fabrice Extreme Sensitive Robotic - A Context-Aware Ubiquitous Learning Inproceedings ICAART 2015 - Proceedings of the International Conference on Agents
and Artificial Intelligence, Volume 1, Lisbon, Portugal, 10-12 January,
2015., pp. 242–248, 2015. BibTeX | Tags: @inproceedings{DBLP:conf/icaart/VerstaevelRGGR15,
title = {Extreme Sensitive Robotic - A Context-Aware Ubiquitous Learning},
author = {Nicolas Verstaevel and Christine Régis and Valérian Guivarch and Marie Pierre Gleizes and Fabrice Robert},
year = {2015},
date = {2015-01-01},
booktitle = {ICAART 2015 - Proceedings of the International Conference on Agents
and Artificial Intelligence, Volume 1, Lisbon, Portugal, 10-12 January,
2015.},
pages = {242--248},
crossref = {DBLP:conf/icaart/2015-1},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verstaevel, Nicolas; Régis, Christine; Gleizes, Marie Pierre; Robert, Fabrice Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations (présentation courte) Inproceedings Environnements socio-techniques - JFSMA 15 - Vingt-troisièmes
Journées Francophones sur les Systèmes Multi-Agents,
Rennes, France, June 30th-July 1st, 2015, pp. 91–100, 2015. BibTeX | Tags: @inproceedings{DBLP:conf/jfsma/VerstaevelRGR15,
title = {Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations (présentation courte)},
author = {Nicolas Verstaevel and Christine Régis and Marie Pierre Gleizes and Fabrice Robert},
year = {2015},
date = {2015-01-01},
booktitle = {Environnements socio-techniques - JFSMA 15 - Vingt-troisièmes
Journées Francophones sur les Systèmes Multi-Agents,
Rennes, France, June 30th-July 1st, 2015},
pages = {91--100},
crossref = {DBLP:conf/jfsma/2015},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|