Nicolas Verstaevel

According to our database, Nicolas Verstaevel authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

HyPedSim: A Multi-Level Crowd-Simulation Framework - Methodology, Calibration, and Validation.

Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel

Sensors, March, 2024

A literature review of dense crowd simulation.

Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel

Simul. Model. Pract. Theory, 2024

Explainability and Interpretability of an Ensemble Multi-agent System for Supervised Learning.

Clément Blanco-Volle, Nicolas Verstaevel, Stéphanie Combettes, Marie-Pierre Gleizes, Michel Povlovitsch Seixas

Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

HyPedSim : Un framework pour la simulation multi-niveau de foules denses.

Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel

Proceedings of the Simulation multi-agents : nouvelles approches, nouveaux enjeux, 2024

Explicabilité et interprétabilité d'un système multi-agent ensembliste pour l'apprentissage supervisé.

Clément Blanco-Volle, Nicolas Verstaevel, Stéphanie Combettes, Michel Povlovitsch Seixas, Marie-Pierre Gleizes

Proceedings of the Simulation multi-agents : nouvelles approches, nouveaux enjeux, 2024

2023

A Multi-level Density-Based Crowd Simulation Architecture.

Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, 2023

TTC-SLSTM: Human Trajectory Prediction Using Time-to-Collision Interaction Energy.

Huu-Tu Dang, Raphael Korbmacher, Antoine Tordeux, Benoit Gaudou, Nicolas Verstaevel

Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

2022

An ensemble Multi-Agent System for non-linear classification.

Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard

CoRR, 2022

How to Solve a Classification Problem Using a Cooperative Tiling Multi-agent System?

Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

Cooperation-Based Search of Global Optima.

Damien Vergnet, Elsy Kaddoum, Nicolas Verstaevel, Frédéric Amblard

Proceedings of the Optimization and Learning - 5th International Conference, 2022

2021

Deciding when to quit the gambler's ruin game with unknown probabilities.

Filipo Studzinski Perotto, Imen Trabelsi, Stéphanie Combettes, Valérie Camps, Nicolas Verstaevel

Int. J. Approx. Reason., 2021

Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation.

Jean-François Erdelyi, Frédéric Amblard, Benoit Gaudou, Elsy Kaddoum, Nicolas Verstaevel

Proceedings of the Multi-Agent-Based Simulation XXII - 22nd International Workshop, 2021

Evaluating Correlations in IoT Sensors for Smart Buildings.

Davide Andrea Guastella, Nicolas Verstaevel, Cesare Valenti, Bilal Arshad, Johan Barthélemy

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora.

Filipo Studzinski Perotto, Nicolas Verstaevel, Imen Trabelsi, Laurent Vercouter

Proceedings of the Artificial Intelligence XXXVII, 2020

2019

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City.

Johan Barthélemy, Nicolas Verstaevel, Hugh I. Forehead, Pascal Perez

Sensors, 2019

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review.

Bilal Arshad, Robert Ogie, Johan Barthélemy, Biswajeet Pradhan, Nicolas Verstaevel, Pascal Perez

Sensors, 2019

2018

A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People.

Nicolas Verstaevel, Jean-Pierre Georgé, Carole Bernon, Marie-Pierre Gleizes

Proceedings of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2018

Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage (démonstration).

Bruno Dato, Nicolas Verstaevel, Frédéric Migeon, Marie-Pierre Gleizes

Proceedings of the Distribution et Décentralisation, 2018

An Ontology Based Context-Aware Architecture for Smart Campus Applications.

Nicolas Verstaevel, Guillaume Garzone, Thierry Monteil, Nawal Guermouche, Johan Barthélemy, Pascal Perez

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

2017

From smart campus to smart cities issues of the smart revolution.

Nicolas Verstaevel, Jérémy Boes, Marie-Pierre Gleizes

Proceedings of the 2017 IEEE SmartWorld, 2017

Impact of eco-feedback on the behavior of campus users.

Paul Piche, Elhadi Belghache, Nicolas Verstaevel, Bérangère Lartigue

Proceedings of the 2017 IEEE SmartWorld, 2017

Lifelong Machine Learning with Adaptive Multi-Agent Systems.

Nicolas Verstaevel, Jérémy Boes, Julien Nigon, Dorian d'Amico, Marie-Pierre Gleizes

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

Smart Is a Matter of Context.

Julien Nigon, Nicolas Verstaevel, Jérémy Boes, Frédéric Migeon, Marie-Pierre Gleizes

Proceedings of the Modeling and Using Context, 2017

2016

Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotics.

Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert

Future Gener. Comput. Syst., 2016

2015

Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations (présentation courte).

Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert

Proceedings of the Environnements socio-techniques - JFSMA 15, 2015

Extreme Sensitive Robotic - A Context-Aware Ubiquitous Learning.

Nicolas Verstaevel, Christine Régis, Valérian Guivarch, Marie-Pierre Gleizes, Fabrice Robert

Proceedings of the ICAART 2015, 2015

The Self-Adaptive Context Learning Pattern: Overview and Proposal.

Jérémy Boes, Julien Nigon, Nicolas Verstaevel, Marie-Pierre Gleizes, Frédéric Migeon

Proceedings of the Modeling and Using Context, 2015

Principles and Experimentations of Self-organizing Embedded Agents Allowing Learning from Demonstration in Ambient Robotic.

Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert

Proceedings of the 6th International Conference on Ambient Systems, 2015