| 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 | 74 | 2019 |
| Entropy based probabilistic collaborative clustering J Sublime, B Matei, G Cabanes, N Grozavu, Y Bennani, A Cornuéjols Pattern Recognition 72, 144-157, 2017 | 40 | 2017 |
| 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 | 31 | 2020 |
| 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 | 31 | 2013 |
| Collaborative Clustering with Heterogeneous Algorithms J Sublime, N Grozavu, Y Bennani, A Cornuéjols IJCNN, 2015 | 22 | 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 | 21 | 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 | 16 | 2017 |
| 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 | 16 | 2015 |
| Change detection in satellite images using reconstruction errors of joint autoencoders E Kalinicheva, JÚÚ Sublime, M Trocan Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019 | 15 | 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 | 14 | 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 | 13 | 2018 |
| An Information Theory based Approach to Multisource Clustering. PA Murena, J Sublime, B Matei, A Cornuéjols IJCAI, 2581-2587, 2018 | 11 | 2018 |
| 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 | 8 | 2020 |
| 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 | 7 | 2020 |
| 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 | 7 | 2018 |
| Collaborative clustering through constrained networks using bandit optimization J Sublime, S Lefebvre 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 6 | 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 | 6 | 2015 |
| A New Energy Model for the Hidden Markov Random Fields J Sublime, A Cornuéjols, Y Bennani Neural Information Processing 2, 60-67, 2014 | 6 | 2014 |
| The 2011 tohoku tsunami from the sky: A review on the evolution of artificial intelligence methods for damage assessment J Sublime Geosciences 11 (3), 133, 2021 | 5 | 2021 |
| Study on the influence of diversity and quality in entropy based collaborative clustering J Sublime, G Cabanes, B Matei Entropy 21 (10), 951, 2019 | 5 | 2019 |
Antoine CornuéjolsProfesseur d'informatique, AgroParisTechVerified email at agroparistech.fr
