Jérémie Sublime
Orcid: 0000-0003-0508-8550
According to our database1,
Jérémie Sublime
authored at least 37 papers
between 2013 and 2024.
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Bibliography
2024
The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence.
J. Artif. Intell. Res., 2024
2023
Entropy, February, 2023
3D Orthogonal SD-OCT Volumes Registration for the Enhancement of Pores in Lamina Cribrosa.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery Through Fine-Tuning of Object Detection Models.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
Low Complexity LSTM-NN-Based Receiver for Vehicular Communications in the Presence of High-Power Amplifier Distortions.
IEEE Access, 2022
Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Unsupervised Approaches for the Segmentation of Dry ARMD Lesions in Eye Fundus cSLO Images.
J. Imaging, 2021
Contributions to modern unsupervised learning: Case studies of multi-view clustering and unsupervised Deep Learning. (Contributions à l'apprentissage non-supervisé moderne: Applications aux cas du clustering multi-vue et de l'apprentissage profond non-supervisé).
, 2021
2020
Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder.
Remote. Sens., 2020
Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection.
J. Imaging, 2020
Deep Cooperative Reconstruction with Security Constraints in multi-view environments.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
A New Information Theory Based Clustering Fusion Method for Multi-view Representations of Text Documents.
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020
2019
Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami.
Remote. Sens., 2019
Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering.
Entropy, 2019
Object-Based Change Detection in Satellite Images Combined with Neural Network Autoencoder Feature Extraction.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019
Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
Incremental Collaborative Clustering Using Information Theory and Information Compression.
Proceedings of the Fuzzy Systems and Data Mining V, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018
Proceedings of the Extraction et Gestion des Connaissances, 2018
2017
Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques.
Remote. Sens., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Contributions to collaborative clustering and its potential applications on very high resolution satellite images. (Contributions au clustering collaboratif et à ses potentielles applications en imagerie à très haute résolution).
PhD thesis, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
From horizontal to vertical collaborative clustering using generative topographic maps.
Int. J. Hybrid Intell. Syst., 2015
Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015
2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
A genetic algorithm for multi-objective optimisation in workflow scheduling with hard constraints.
Int. J. Metaheuristics, 2013