| Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch L Pibre, J Pasquet, D Ienco, M Chaumont Electronic Imaging 2016 (8), 1-11, 2016 | 138* | 2016 |
| Do more views of a graph help? community detection and clustering in multi-graphs EE Papalexakis, L Akoglu, D Ience Proceedings of the 16th International Conference on Information Fusion, 899-905, 2013 | 108 | 2013 |
| Land cover classification via multitemporal spatial data by deep recurrent neural networks D Ienco, R Gaetano, C Dupaquier, P Maurel IEEE Geoscience and Remote Sensing Letters 14 (10), 1685-1689, 2017 | 107 | 2017 |
| From context to distance: Learning dissimilarity for categorical data clustering D Ienco, RG Pensa, R Meo ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-25, 2012 | 89 | 2012 |
| The meme ranking problem: Maximizing microblogging virality D Ienco, F Bonchi, C Castillo 2010 IEEE International Conference on Data Mining Workshops, 328-335, 2010 | 62 | 2010 |
| Context-based distance learning for categorical data clustering D Ienco, RG Pensa, R Meo International Symposium on Intelligent Data Analysis, 83-94, 2009 | 62 | 2009 |
| Deep recurrent neural networks for winter vegetation quality mapping via multitemporal SAR Sentinel-1 DHT Minh, D Ienco, R Gaetano, N Lalande, E Ndikumana, F Osman, ... IEEE Geoscience and Remote Sensing Letters 15 (3), 464-468, 2018 | 61* | 2018 |
| Clustering based active learning for evolving data streams D Ienco, A Bifet, I Žliobaitė, B Pfahringer International Conference on Discovery Science, 79-93, 2013 | 45 | 2013 |
| Fuzzy extensions of the DBScan clustering algorithm D Ienco, G Bordogna Soft Computing 22 (5), 1719-1730, 2018 | 43 | 2018 |
| Exploration and reduction of the feature space by hierarchical clustering D Ienco, R Meo Proceedings of the 2008 SIAM International Conference on Data Mining, 577-587, 2008 | 43 | 2008 |
| DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn R Interdonato, D Ienco, R Gaetano, K Ose ISPRS Journal of Photogrammetry and Remote Sensing 149, 91-104, 2019 | 42 | 2019 |
| Parameter-less co-clustering for star-structured heterogeneous data D Ienco, C Robardet, RG Pensa, R Meo Data Mining and Knowledge Discovery 26 (2), 217-254, 2013 | 42 | 2013 |
| : A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion P Benedetti, D Ienco, R Gaetano, K Ose, RG Pensa, S Dupuy IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 40 | 2018 |
| Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture D Ienco, R Interdonato, R Gaetano, DHT Minh ISPRS Journal of Photogrammetry and Remote Sensing 158, 11-22, 2019 | 37 | 2019 |
| Local community detection in multilayer networks R Interdonato, A Tagarelli, D Ienco, A Sallaberry, P Poncelet Data Mining and Knowledge Discovery 31 (5), 1444-1479, 2017 | 29 | 2017 |
| Parameter-Free Hierarchical Co-clustering by n-Ary Splits D Ienco, RG Pensa, R Meo Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009 | 29 | 2009 |
| A semisupervised approach to the detection and characterization of outliers in categorical data D Ienco, RG Pensa, R Meo IEEE transactions on neural networks and learning systems 28 (5), 1017-1029, 2016 | 28 | 2016 |
| Meme ranking to maximize posts virality in microblogging platforms F Bonchi, C Castillo, D Ienco Journal of intelligent information systems 40 (2), 211-239, 2013 | 27 | 2013 |
| Data mining, a promising tool for large-area cropland mapping E Vintrou, D Ienco, A Bégué, M Teisseire IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 26 | 2013 |
| A two-branch CNN architecture for land cover classification of PAN and MS imagery R Gaetano, D Ienco, K Ose, R Cresson Remote Sensing 10 (11), 1746, 2018 | 25 | 2018 |
Pascal PonceletProfessor of Computer Science, LIRMM, University MontpellierVerified email at lirmm.fr
