International Conferences
2025
Jérémie Sublime: The AI Race: Why Current Neural Network based Architectures are a Poor Basis for Artificial General Intelligence. In: AAAI'25, Philadelphia, USA, February 2025. [PDF][PPT].
2024
Samuel Gbenga Faluyi, Yousra Chabchoub, Maurras Ulbricht Togbe and Jérémie Sublime: Application of explainable AI to healthcare: a review. In: IDDM’24: 7th International Conference on Informatics & Data-Driven Medicine, Nov 2024, Birmingham (UK), United Kingdom. [PDF]
Seoyoung Oh, Mélanie Pelegrini-Issac, Hélène Urien, Véronique Marchand-Pauvert and Jérémie Sublime: Deep Neural Networks Comparison for MRI Segmentation of the Brainstem. In: ISBI'2024 [PDF].
Nan Ding, Florence Rossant, Hélène Urien, Jérémie Sublime, Paul Bastelica, Christophe Baudouin and Michel Paques: A complete method for the 3D reconstruction of axonal pathways from 2 orthogonal 3D OCT images of the lamina cribrosa. In: ICASSP 2024 [URL].
Jade Guisiano, Domenico Barretta, Éric Moulines, Thomas Lauvaux and Jérémie Sublime: Object detection models sensitivity & robustness to satellite-based adversarial attacks. In: IGARSS 2024 [PDF].
2023
Jade Eva Guisiano, Éric Moulines, Thomas Lauvaux and Jérémie Sublime: Enhanced Oil and Gas Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through fine-tuning of pre-trained object detection models. In: ICONIP 2023. [PDF]
Jade Eva Guisiano, Thomas Lauvaux, Claudio Cifarelli, Éric Moulines and Jérémie Sublime : O&GProfile : An automated method for attribution of satellite methane emissions detections to oil and gas sites and operators. In: MLDM 2023. [PDF]
Nan Ding, Florence Rossant, Hélène Urien, Jérémie Sublime and Michel Paques: 3D Orthogonal SD-OCT Volumes Registration for the Enhancement of Pores in Lamina Cribrosa. In: IEEE ISBI 2023 [PDF]
2022
Nan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime and Michel Paques: Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. In: 21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'22) [PDF]
2020
Denis Maurel, Sylvain Lefebvre and Jérémie Sublime: Deep Cooperative Reconstruction with Security Constraints in multi-view environments. In ICDMW, MSDM Workshop, 2020 [PDF][Code]
Guillaume Dupont, Ekaterina Kalinicheva, Jérémie Sublime, Florence Rossant and Michel Pâques: Unsupervised Change Detection using Joint Autoencoders for Age-Related Macular Degeneration Progression. ICANN (2) 2020: 813-824 . [PDF][Code]
Juan Zamora and Jérémie Sublime: A new Information theory based clustering fusion method for multi-view representations of text documents. In HCI (14) 2020: 156-167. [PDF][Code & Data]
2019
Ekaterina Kalinicheva, Jérémie Sublime, and Maria Trocan: Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders. ICANN (3) 2019: 637-648 - [PDF][Code]
Jérémie Sublime: Incremental Collaborative Clustering using Information Theory and Information Compression. In Fuzzy Systems and Data Mining (FSDM 2019) , Kitakyushu, Japan, 2019 - [PDF]
Ekaterina Kalinicheva , Jérémie Sublime and Maria Trocan: Object-Based Change Detection in Satellite Images Combined with Neural Network Autoencoder Feature Extraction. In: IEEE International Conference on Image Processing Theory, Tools and Applications IPTA 2019, Istanbul, Turkey, 2019 - [PDF]
2018
Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei and Antoine Cornuéjols: An Information Theory based Approach to Multisource Clustering. IJCAI-ECAI 2018:2581-2587, Stockholm, Sweden, 2018 - [PDF][Code]
Jérémie Sublime and Sylvain Lefebvre: Collaborative Clustering through Constrained Networks using Bandit Optimization. IEEE WCCI/IJCNN 2018:1-8, Rio de Janeiro, Brazil, 2018 - [PDF]
Jérémie Sublime, Denis Maurel, Nistor Grozavu, Basarab Matei and Younès Bennani: Optimizing exchange confidence during collaborative clustering. IEEE WCCI/IJCNN 2018: 2581-2587, Rio de Janeiro, Brazil, 2018 - [PDF]
2017
Jérémie Sublime, Basarab Matei, Pierre-Alexandre Murena: Analysis of the influence of diversity in collaborative and multi-view clustering. IJCNN 2017: 4126-4133 - [PDF]
Denis Maurel, Jérémie Sublime, Sylvain Lefebvre: Incremental Self-Organizing Maps for Collaborative Clustering. ICONIP 2017: Neural Information Processing pp 497-504, Tokyo, Japan, 2017 - [PDF]
2016
Jérémie Sublime, Antoine Cornuéjols, Younès Bennani: Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. ICONIP (3) 2016: 148-155 - [PDF]
2015
Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols: Collaborative clustering with heterogeneous algorithms. IJCNN 2015: 1-8 - [PDF][Code]
Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski: Semantic rich ICM algorithm for VHR satellite images segmentation. MVA 2015: 45-48 - [PDF][Poster]
Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols: Vertical collaborative clustering using generative topographic maps. SoCPaR 2015: 199-204 - [PDF]
2014
Jérémie Sublime, Antoine Cornuéjols, Younès Bennani: A New Energy Model for the Hidden Markov Random Fields. ICONIP (2) 2014: 60-67 - [PDF]
Books & Chapters
2022
Pierre-Alexandre Murena, Jérémie Sublime, and Basarab Matei: Rethinking Collaborative Clustering: A Practical and Theoretical Study within the Realm of Multi-View Clustering. Witold Pedrycz and Shyi-Ming Chen: "Recent Advancements in Multi-View Data Analytics", In: Studies in Big Data Series, Vol. 106, Springer-Verlag, 2022. [PDF]
MISC
Jérémie Sublime and Ilaria Renna: Is ChatGPT Massively Used by Students Nowadays? A Survey on the Use of Large Language Models such as ChatGPT in Educational Settings. 12/2024, arXiv [link]
Jérémie Sublime : The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History? 11/2024, arXiv [link]
