| Spectral clustering via ensemble deep autoencoder learning (SC-EDAE) S Affeldt, L Labiod, M Nadif Pattern Recognition 108, 107522, 2020 | 92 | 2020 |
| Learning causal networks with latent variables from multivariate information in genomic data L Verny, N Sella, S Affeldt, PP Singh, H Isambert PLoS computational biology 13 (10), e1005662, 2017 | 62 | 2017 |
| On the expansion of “dangerous” gene repertoires by whole-genome duplications in early vertebrates PP Singh, S Affeldt, I Cascone, R Selimoglu, J Camonis, H Isambert Cell reports 2 (5), 1387-1398, 2012 | 56 | 2012 |
| A data integration multi-omics approach to study calorie restriction-induced changes in insulin sensitivity MC Dao, N Sokolovska, R Brazeilles, S Affeldt, V Pelloux, E Prifti, ... Frontiers in physiology 9, 1958, 2019 | 36 | 2019 |
| 3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics S Affeldt, L Verny, H Isambert BMC bioinformatics 17, 149-165, 2016 | 34 | 2016 |
| A survey on machine learning methods for churn prediction L Geiler, S Affeldt, M Nadif International Journal of Data Science and Analytics 14 (3), 217-242, 2022 | 29 | 2022 |
| Human dominant disease genes are enriched in paralogs originating from whole genome duplication PP Singh, S Affeldt, G Malaguti, H Isambert PLoS Computational Biology 10 (7), e1003754, 2014 | 26 | 2014 |
| MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data N Sella, L Verny, G Uguzzoni, S Affeldt, H Isambert Bioinformatics 34 (13), 2311-2313, 2018 | 20 | 2018 |
| Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information. S Affeldt, H Isambert ACI@ UAI, 1-29, 2015 | 20 | 2015 |
| Ensemble block co-clustering: a unified framework for text data S Affeldt, L Labiod, M Nadif Proceedings of the 29th ACM International Conference on Information …, 2020 | 19 | 2020 |
| Regularized bi-directional co-clustering S Affeldt, L Labiod, M Nadif Statistics and Computing 31 (3), 32, 2021 | 16 | 2021 |
| An effective strategy for churn prediction and customer profiling L Geiler, S Affeldt, M Nadif Data & Knowledge Engineering 142, 102100, 2022 | 10 | 2022 |
| Spectral consensus strategy for accurate reconstruction of large biological networks S Affeldt, N Sokolovska, E Prifti, JD Zucker BMC bioinformatics 17, 85-97, 2016 | 9 | 2016 |
| Regularized dual-PPMI co-clustering for text data S Affeldt, L Labiod, M Nadif Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 6 | 2021 |
| Highlights from the ISCB Student Council Symposium 2013 T Di Domenico, C Prudence, E Vicedo, E Guney, A Jigisha, ... BMC bioinformatics 15, 1-4, 2014 | 5 | 2014 |
| Caeclust: A consensus of autoencoders representations for clustering S Affeldt, L Labiod, M Nadif Image Processing On Line 12, 590-603, 2022 | 4 | 2022 |
| Evolution and cancer: expansion of dangerous gene repertoire by whole genome duplications S Affeldt, PP Singh, I Cascone, R Selimoglu, J Camonis, H Isambert Medecine Sciences: M/S 29 (4), 358-361, 2013 | 4 | 2013 |
| Méthode ensemble de clustering profond S Affeldt, L Labiod, M Nadif Extraction et gestion des connaissances (EGC'2021),, 2021 | 1 | 2021 |
| Reconstruction de réseaux fonctionnels et analyse causale en biologie des systèmes S Affeldt Paris 6, 2015 | 1 | 2015 |
| WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data A Ferdjaoui, S Affeldt, M Nadif Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
