Antoine Fagette

According to our database, Antoine Fagette authored at least 15 papers between 2014 and 2025.

Collaborative distances:

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

2025

Human-AI collaboration in real-world complex environment with reinforcement learning.

Md. Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew E. Taylor

Neural Comput. Appl., August, 2025

A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs.

Jalal Arabneydi, Md. Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Matthew E. Taylor, Matthew Guzdial, Antoine Fagette, Younes Zerouali

CoRR, April, 2025

2024

Real-time, dense UAV mapping by leveraging monocular depth prediction with monocular-inertial SLAM.

Yassine Habib, Panagiotis Papadakis, Cédric Le Barz, Antoine Fagette, Tiago Gonçalves, Cédric Buche

Adv. Robotics, November, 2024

Leveraging A* Pathfinding for Efficient Deep Reinforcement Learning in Obstacle-Dense Environments.

Junior Samuel López-Yépez, Antoine Fagette, Charles Dansereau, Filipe Carvalhais Sanches

Proceedings of the International Conference on Machine Learning and Applications, 2024

AI Agents Learning Human Decision Policies for Collaborative Situation Assessment in NORAD C2 Operations.

Tanya S. Paul, Daniel Lafond, Filipe Carvalhais Sanches, Jean-Sébastien Thivierge, Antoine Fagette

Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

2023

Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning.

Md. Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew E. Taylor

CoRR, 2023

Densifying SLAM for UAV Navigation by Fusion of Monocular Depth Prediction.

Yassine Habib, Panagiotis Papadakis, Cédric Le Barz, Antoine Fagette, Tiago Gonçalves, Cédric Buche

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

2022

Increasing attacker engagement on SSH honeypots using semantic embeddings of cyber-attack patterns and deep reinforcement learning.

Junior Samuel López-Yépez, Antoine Fagette

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2020

Passive sensor planning for TDOA/FDOA geolocation under communication constraints.

Hugo Seuté, Laurent Ratton, Antoine Fagette

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

A Probabilistic Tensor Factorization Approach to Detect Anomalies in Spatiotemporal Traffic Activities.

Xudong Wang, Antoine Fagette, Pascal Sartelet, Lijun Sun

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2017

Simulating crowd motion using density estimation and optical flow.

Di Chen, Gary S. H. Tan, Antoine Fagette, Stephen Chai

Proceedings of the 2017 Winter Simulation Conference, 2017

2016

Using Social Sciences to Enhance the Realism of Simulation for Complex Urban Environments.

Stephen Chai Kheh Chew, Mohd. Faisal Bin Zainal Abiden, Hui Min Ng, Shawn Thian, Sidney Tio, Serge Landry, Antoine Fagette

Proceedings of the Complex Systems Design & Management Asia - Smart Nations, 2016

2014

Unsupervised dense crowd detection by multiscale texture analysis.

Antoine Fagette, Nicolas Courty, Daniel Racoceanu, Jean-Yves Dufour

Pattern Recognit. Lett., 2014

Statistically Representative Cloud of Particles for Crowd Flow Tracking.

Patrick Jamet, Stephen Chai Kheh Chew, Antoine Fagette, Jean-Yves Dufour, Daniel Racoceanu

Proceedings of the Pattern Recognition Applications and Methods, 2014

Particle Video for Crowd Flow Tracking - Entry-Exit Area and Dynamic Occlusion Detection.

Antoine Fagette, Patrick Jamet, Daniel Racoceanu, Jean-Yves Dufour

Proceedings of the ICPRAM 2014, 2014