Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting. - David William Pearson; Mireille Batton-Hubert; Gérard Dray (ICANNGA, 2003)

Modélisation spatiale et décision territoriale participative. Conception et mise en oeuvre dans des ateliers chercheurs acteurs. - Mireille Batton-Hubert; Thierry Joliveau; Sylvie Lardon (Rev. Int. Géomatique, 2008)

A two-step fusion process for multi-criteria decision applied to natural hazards in mountains - Jean-Marc Tacnet; Mireille Batton-Hubert; Jean Dezert (CoRR, 2010)

Coupling Geographic Information System (GIS) and Multi-Criteria Analysis (MCA) for Modelling the Ecological Continuum in Participative Territorial Planning. - Mireille Batton-Hubert; Marie Bonnevialle; Thierry Joliveau; Pierre-Olivier Mazagol; Frédéric Paran (Int. J. Agric. Environ. Inf. Syst., 2011)

A New ER-MCDA Mapping for Decision-Making Based on Imperfect Information. - Simon Carladous; Jean-Marc Tacnet; Jean Dezert; Guillaume Dupouy; Mireille Batton-Hubert (BELIEF, 2016)

Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection. - Simon Carladous; Jean-Marc Tacnet; Jean Dezert; Deqiang Han; Mireille Batton-Hubert (BELIEF, 2016)

Evaluation of efficiency of torrential protective structures with new BF-TOPSIS methods. - Simon Carladous; Jean-Marc Tacnet; Jean Dezert; Deqiang Han; Mireille Batton-Hubert (FUSION, 2016)

New MCDM methods under uncertainty applied to integrated natural risks management. - Jean-Marc Tacnet; Simon Carladous; Jean Dezert; Deqiang Han; Mireille Batton-Hubert (CIVEMSA, 2017)

Decision-Aid Methods Based on Belief Function Theory with Application to Torrent Protection. - Simon Carladous; Jean-Marc Tacnet; Jean Dezert; Mireille Batton-Hubert (Information Quality in Information Fusion and Decision Making, 2019)

Intelligent Fault Analysis Decision Flow in Semiconductor Industry 4.0 Using Natural Language Processing with Deep Clustering. - Kenneth Ezukwoke; Houari Toubakh; Anis Hoayek; Mireille Batton-Hubert; Xavier Boucher; Pascal Gounet (CASE, 2021)

On welding defect detection and causalities between welding signals. - Abdallah Amine Melakhsou; Mireille Batton-Hubert (CASE, 2021)

Computer Vision based welding defect detection using YOLOv3. - Abdallah Amine Melakhsou; Mireille Batton-Hubert; Nicolas Casoetto (ETFA, 2022)

NLP based on GCVAE for intelligent Fault Analysis in Semiconductor industry. - Zhiqiang Wang; Kenneth Ezukwoke; Anis Hoayek; Mireille Batton-Hubert; Xavier Boucher (ETFA, 2022)

Emission Scheduling Strategies for Massive-IoT: Implementation and Performance Optimization. - Gwen Maudet; Mireille Batton-Hubert; Patrick Maillé; Laurent Toutain (NOMS, 2022)

GCVAE: Generalized-Controllable Variational AutoEncoder. - Kenneth Ezukwoke; Anis Hoayek; Mireille Batton-Hubert; Xavier Boucher (CoRR, 2022)

Leveraging Pre-trained Models for Failure Analysis Triplets Generation. - Kenneth Ezukwoke; Anis Hoayek; Mireille Batton-Hubert; Xavier Boucher; Pascal Gounet; Jérôme Adrian (CoRR, 2022)

Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels. - Abdallah Amine Melakhsou; Mireille Batton-Hubert (DeLTA, 2023)

Multi-Objective Deep Q-Networks for Domestic Hot Water Systems Control. - Mohamed-Harith Ibrahim; Stéphane Lecoeuche; Jacques Boonaert; Mireille Batton-Hubert (ICAART (3), 2023)

RoboTwin: Combining Digital Twin and Artificial Intelligence Domains for Controlling Robots in Industry 4.0. - Flavien Balbo; Alaa Daoud; Guillaume Muller 001; Mihaela Juganaru-Mathieu; Fabien Badeig; Hiba Alqasir; Mireille Batton-Hubert (KES-AMSTA, 2023)

Uncertainty Quantification for Efficient and Risk-Sensitive Reinforcement Learning. - Mohamed-Harith Ibrahim; Stéphane Lecoeuche; Jacques Boonaert; Mireille Batton-Hubert (SSCI, 2023)

Energy Efficient Message Scheduling with Redundancy Control for Massive IoT Monitoring. - Gwen Maudet; Patrick Maillé; Laurent Toutain; Mireille Batton-Hubert (WCNC, 2023)

Welding monitoring and defect detection using probability density distribution and functional nonparametric kernel classifier. - Abdallah Amine Melakhsou; Mireille Batton-Hubert (J. Intell. Manuf., 2023)

Anomaly Detection in a Production Line: Statistical Learning Approach and Industrial Application. - Rida Kheirallah; Anis Hoayek; Frédéric Grimaud; Mireille Batton-Hubert; Patrick Burlat (APMS (5), 2024)

Unsupervised approach for an optimal representation of the latent space of a failure analysis dataset. - Abbas Rammal; Kenneth Ezukwoke; Anis Hoayek; Mireille Batton-Hubert (J. Supercomput., 2024)

Coupling Variable Selection and Anomaly Detection: Record-Based Approach. - Michel Kamel; Anis Hoayek; Mireille Batton-Hubert (MENACOMM, 2025)

Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry. - Zhiqiang Wang; Kenneth Ezukwoke; Anis Hoayek; Mireille Batton-Hubert; Xavier Boucher (J. Intell. Manuf., 2025)

Correction: Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry. - Zhiqiang Wang; Kenneth Ezukwoke; Anis Hoayek; Mireille Batton-Hubert; Xavier Boucher (J. Intell. Manuf., 2025)

Big GCVAE: decision-making with adaptive transformer model for failure root cause analysis in semiconductor industry. - Kenneth Ezukwoke; Anis Hoayek; Mireille Batton-Hubert; Xavier Boucher; Pascal Gounet; Jérôme Adrian (J. Intell. Manuf., 2025)