Jérémie Sublime
Jérémie Sublime
Associate Professor at ISEP Paris
Verified email at - Homepage
Cited by
Cited by
Automatic post-disaster damage mapping using deep-learning techniques for change detection: Case study of the Tohoku tsunami
J Sublime, E Kalinicheva
Remote Sensing 11 (9), 1123, 2019
Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches
E Kalinicheva, D Ienco, J Sublime, M Trocan
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Entropy based probabilistic collaborative clustering
J Sublime, B Matei, G Cabanes, N Grozavu, Y Bennani, A Cornuéjols
Pattern Recognition 72, 144-157, 2017
A genetic algorithm for multi–objective optimisation in workflow scheduling with hard constraints
S Yassa, J Sublime, R Chelouah, H Kadima, GS Jo, B Granado
International Journal of Metaheuristics 2 (4), 415-433, 2013
Collaborative Clustering with Heterogeneous Algorithms
J Sublime, N Grozavu, Y Bennani, A Cornuéjols
IJCNN, 2015
From horizontal to vertical collaborative clustering using generative topographic maps
J Sublime, N Grozavu, G Cabanes, Y Bennani, A Cornuéjols
International journal of hybrid intelligent systems 12 (4), 245-256, 2015
Change detection in satellite images using reconstruction errors of joint autoencoders
E Kalinicheva, JÚÚ Sublime, M Trocan
International Conference on Artificial Neural Networks, 637-648, 2019
Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques
J Sublime, A Troya-Galvis, A Puissant
Remote Sensing 9 (5), 495, 2017
Unsupervised satellite image time series clustering using object-based approaches and 3D convolutional autoencoder
E Kalinicheva, J Sublime, M Trocan
Remote Sensing 12 (11), 1816, 2020
Vertical Collaborative Clustering using Generative Topographic Maps
J Sublime, N Grozavu, Y Bennani, A Cornuéjols
7th International Conference on Soft Computing and Pattern Recognition, 2015
Analysis of the influence of diversity in collaborative and multi-view clustering
J Sublime, B Matei, PA Murena
2017 International Joint Conference on Neural Networks (IJCNN), 4126-4133, 2017
Neural network autoencoder for change detection in satellite image time series
E Kalinicheva, J Sublime, M Trocan
2018 25th IEEE International Conference on Electronics, Circuits and Systems …, 2018
An Information Theory based Approach to Multisource Clustering.
PA Murena, J Sublime, B Matei, A Cornuéjols
IJCAI, 2581-2587, 2018
Analyzing age-related macular degeneration progression in patients with geographic atrophy using joint autoencoders for unsupervised change detection
G Dupont, E Kalinicheva, J Sublime, F Rossant, M Pâques
Journal of Imaging 6 (7), 57, 2020
Collaborative clustering through constrained networks using bandit optimization
J Sublime, S Lefebvre
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Optimizing exchange confidence during collaborative clustering
J Sublime, D Maurel, N Grozavu, B Matei, Y Bennani
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Semantic Rich ICM Algorithm for VHR Satellite Images Segmentation
J Sublime, A Troya-Galvis, Y Bennani, A Cornuéjols, P Gançarski
Conference on Machine Vision Applications, Tokyo, Japan; 05/2015, 2015
Study on the influence of diversity and quality in entropy based collaborative clustering
J Sublime, G Cabanes, B Matei
Entropy 21 (10), 951, 2019
A New Energy Model for the Hidden Markov Random Fields
J Sublime, A Cornuéjols, Y Bennani
Neural Information Processing 2, 60-67, 2014
Unsupervised approaches for the segmentation of dry armd lesions in eye fundus cslo images
C Royer, J Sublime, F Rossant, M Paques
Journal of Imaging 7 (8), 143, 2021
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