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ORCIDNicolas Verstaevel
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2020 – today
- 2024
[j6]Huu-Tu Dang
, Benoit Gaudou, Nicolas Verstaevel:
HyPedSim: A Multi-Level Crowd-Simulation Framework - Methodology, Calibration, and Validation. Sensors 24(5): 1639 (2024)- [j5]Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel:
A literature review of dense crowd simulation. Simul. Model. Pract. Theory 134: 102955 (2024) - [c21]Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel:
HyPedSim : Un framework pour la simulation multi-niveau de foules denses. JFSMA 2024: 45-54 - [c20]Clément Blanco-Volle, Nicolas Verstaevel, Stéphanie Combettes, Michel Povlovitsch Seixas, Marie-Pierre Gleizes:
Explicabilité et interprétabilité d'un système multi-agent ensembliste pour l'apprentissage supervisé. JFSMA 2024: 129-138 - [c19]Clément Blanco-Volle, Nicolas Verstaevel, Stéphanie Combettes, Marie-Pierre Gleizes, Michel Povlovitsch Seixas:
Explainability and Interpretability of an Ensemble Multi-agent System for Supervised Learning. PRIMA 2024: 335-350 - 2023
- [c18]Huu-Tu Dang, Raphael Korbmacher, Antoine Tordeux, Benoit Gaudou, Nicolas Verstaevel:
TTC-SLSTM: Human Trajectory Prediction Using Time-to-Collision Interaction Energy. KSE 2023: 1-6 - [c17]Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel:
A Multi-level Density-Based Crowd Simulation Architecture. PAAMS 2023: 64-75 - 2022
- [c16]Damien Vergnet, Elsy Kaddoum, Nicolas Verstaevel, Frédéric Amblard:
Cooperation-Based Search of Global Optima. OLA 2022: 105-116 - [c15]Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard:
How to Solve a Classification Problem Using a Cooperative Tiling Multi-agent System? PAAMS 2022: 166-178 - [e1]Koen H. van Dam, Nicolas Verstaevel:
Multi-Agent-Based Simulation XXII - 22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13128, Springer 2022, ISBN 978-3-030-94547-3 [contents] - [i2]Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard:
An ensemble Multi-Agent System for non-linear classification. CoRR abs/2209.06824 (2022) - [i1]Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard:
How to solve a classification problem using a cooperative tiling Multi-Agent System? CoRR abs/2209.14239 (2022) - 2021
- [j4]Filipo Studzinski Perotto, Imen Trabelsi, Stéphanie Combettes, Valérie Camps, Nicolas Verstaevel:
Deciding when to quit the gambler's ruin game with unknown probabilities. Int. J. Approx. Reason. 137: 16-33 (2021) - [c14]Davide Andrea Guastella, Nicolas Verstaevel, Cesare Valenti, Bilal Arshad, Johan Barthélemy:
Evaluating Correlations in IoT Sensors for Smart Buildings. ICAART (1) 2021: 224-231 - [c13]Jean-François Erdelyi, Frédéric Amblard, Benoit Gaudou, Elsy Kaddoum, Nicolas Verstaevel:
Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation. MABS 2021: 153-167 - 2020
- [c12]Filipo Studzinski Perotto, Nicolas Verstaevel, Imen Trabelsi, Laurent Vercouter:
Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora. SGAI Conf. 2020: 317-330
2010 – 2019
- 2019
- [j3]Johan Barthélemy, Nicolas Verstaevel, Hugh I. Forehead, Pascal Perez:
Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City. Sensors 19(9): 2048 (2019) - [j2]Bilal Arshad, Robert Ogie, Johan Barthélemy, Biswajeet Pradhan, Nicolas Verstaevel, Pascal Perez:
Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review. Sensors 19(22): 5012 (2019) - 2018
- [c11]Nicolas Verstaevel, Guillaume Garzone, Thierry Monteil, Nawal Guermouche, Johan Barthélemy, Pascal Perez:
An Ontology Based Context-Aware Architecture for Smart Campus Applications. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1056-1063 - [c10]Bruno Dato, Nicolas Verstaevel, Frédéric Migeon, Marie-Pierre Gleizes:
Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage (démonstration). JFSMA 2018: 231-232 - [c9]Nicolas Verstaevel, Jean-Pierre Georgé, Carole Bernon, Marie-Pierre Gleizes:
A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People. SASO 2018: 70-79 - 2017
- [c8]Julien Nigon, Nicolas Verstaevel, Jérémy Boes, Frédéric Migeon, Marie-Pierre Gleizes:
Smart Is a Matter of Context. CONTEXT 2017: 189-202 - [c7]Nicolas Verstaevel, Jérémy Boes, Julien Nigon, Dorian d'Amico, Marie-Pierre Gleizes:
Lifelong Machine Learning with Adaptive Multi-Agent Systems. ICAART (2) 2017: 275-286 - [c6]Paul Piche, Elhadi Belghache, Nicolas Verstaevel, Bérangère Lartigue:
Impact of eco-feedback on the behavior of campus users. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c5]Nicolas Verstaevel, Jérémy Boes, Marie-Pierre Gleizes:
From smart campus to smart cities issues of the smart revolution. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [j1]Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert:
Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotics. Future Gener. Comput. Syst. 64: 78-87 (2016) - 2015
- [c4]Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert:
Principles and Experimentations of Self-organizing Embedded Agents Allowing Learning from Demonstration in Ambient Robotic. ANT/SEIT 2015: 194-201 - [c3]Jérémy Boes, Julien Nigon, Nicolas Verstaevel, Marie-Pierre Gleizes, Frédéric Migeon:
The Self-Adaptive Context Learning Pattern: Overview and Proposal. CONTEXT 2015: 91-104 - [c2]Nicolas Verstaevel, Christine Régis, Valérian Guivarch, Marie-Pierre Gleizes, Fabrice Robert:
Extreme Sensitive Robotic - A Context-Aware Ubiquitous Learning. ICAART (1) 2015: 242-248 - [c1]Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert:
Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations (présentation courte). JFSMA 2015: 91-100
Coauthor Index
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