Jérémie Sublime

发表

Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering

Basarab Matei, Guénaël Cabanes, Jérémie Sublime, 2019, Entropy.

Collaborative clustering with heterogeneous algorithms

Younès Bennani, Antoine Cornuéjols, Nistor Grozavu, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection

Florence Rossant, Michel Pâques, Guillaume Dupont, 2020, J. Imaging.

Deep Cooperative Reconstruction with Security Constraints in multi-view environments

Sylvain Lefebvre, Denis Maurel, Jérémie Sublime, 2020, 2020 International Conference on Data Mining Workshops (ICDMW).

A New Information Theory Based Clustering Fusion Method for Multi-view Representations of Text Documents

Jérémie Sublime, Juan Zamora, 2020, HCI.

Object-Based Change Detection in Satellite Images Combined with Neural Network Autoencoder Feature Extraction

Maria Trocan, Jérémie Sublime, Ekaterina Kalinicheva, 2019, 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Incremental Collaborative Clustering Using Information Theory and Information Compression

Jérémie Sublime, 2019, FSDM.

Incremental Self-Organizing Maps for Collaborative Clustering

Denis Maurel, Jérémie Sublime, Sylvain Lefebvre, 2017, ICONIP.

An Information Theory based Approach to Multisource Clustering

Antoine Cornuéjols, Basarab Matei, Jérémie Sublime, 2018, IJCAI.

Cartes Auto-Organisatrices Incrémentales appliquées au Clustering Collaboratif

Denis Maurel, Jérémie Sublime, Sylvain Lefebvre, 2018, EGC.

Collaborative Clustering through Constrained Networks using Bandit Optimization

Jérémie Sublime, Sylvain Lefebvre, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A genetic algorithm with the concept of viral infections to solve hard constraints in workflow scheduling

Geun-Sik Jo, Jérémie Sublime, Sonia Yassa, 2012 .

Semantic rich ICM algorithm for VHR satellite images segmentation

Pierre Gançarski, Younès Bennani, Antoine Cornuéjols, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Optimizing exchange confidence during collaborative clustering

Denis Maurel, Younès Bennani, Basarab Matei, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches

Maria Trocan, Dino Ienco, Jérémie Sublime, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A genetic algorithm for multi-objective optimisation in workflow scheduling with hard constraints

GeunSik Jo, Bertrand Granado, Rachid Chelouah, 2013, Int. J. Metaheuristics.

Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami

Jérémie Sublime, Ekaterina Kalinicheva, E. Kalinicheva, 2019, Remote. Sens..

Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression

Florence Rossant, Michel Pâques, Guillaume Dupont, 2020, ICANN.

Entropy based probabilistic collaborative clustering

Younès Bennani, Antoine Cornuéjols, Basarab Matei, 2017, Pattern Recognit..

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)

Jérémie Sublime, 2016 .

From horizontal to vertical collaborative clustering using generative topographic maps

Younès Bennani, Antoine Cornuéjols, Nistor Grozavu, 2016, Int. J. Hybrid Intell. Syst..

Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder

Maria Trocan, Jérémie Sublime, Ekaterina Kalinicheva, 2020, Remote. Sens..

Neural Network Autoencoder for Change Detection in Satellite Image Time Series

Maria Trocan, Jérémie Sublime, Ekaterina Kalinicheva, 2018, 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Analysis of the influence of diversity in collaborative and multi-view clustering

Basarab Matei, Jérémie Sublime, Pierre-Alexandre Murena, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Vertical collaborative clustering using generative topographic maps

Younès Bennani, Antoine Cornuéjols, Nistor Grozavu, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images

Younès Bennani, Antoine Cornuéjols, Jérémie Sublime, 2016, ICONIP.

Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution

Younès Bennani, Antoine Cornuéjols, Jérémie Sublime, 2015, EGC.

Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders

Maria Trocan, Jérémie Sublime, Ekaterina Kalinicheva, 2019, ICANN.

A New Energy Model for the Hidden Markov Random Fields

Younès Bennani, Antoine Cornuéjols, Jérémie Sublime, 2014, ICONIP.

Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques

Anne Puissant, Andres Troya-Galvis, Jérémie Sublime, 2017, Remote. Sens..

Unsupervised Approaches for the Segmentation of Dry ARMD Lesions in Eye Fundus cSLO Images

Florence Rossant, Michel Pâques, Jérémie Sublime, 2021, J. Imaging.

The 2011 Tohoku Tsunami from the Sky: A Review on the Evolution of Artificial Intelligence Methods for Damage Assessment

Jérémie Sublime, Jérémie Sublime, 2021, Geosciences.