| miRBoost: boosting support vector machines for microRNA precursor classification S Tempel, B Zerath, F Zehraoui, F Tahi RNA 21 (5), 775-785, 2015 | 51 | 2015 |
| Towards a piRNA prediction using multiple kernel fusion and support vector machine J Brayet, F Zehraoui, L Jeanson-Leh, D Israeli, F Tahi Bioinformatics 30 (17), i364-i370, 2014 | 50 | 2014 |
| Detecting time periods of differential gene expression using Gaussian processes: an application to endothelial cells exposed to radiotherapy dose fraction M Heinonen, O Guipaud, F Milliat, V Buard, B Micheau, G Tarlet, ... Bioinformatics 31 (5), 728-735, 2015 | 37 | 2015 |
| Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data V Bourgeais, F Zehraoui, M Ben Hamdoune, B Hanczar BMC bioinformatics 22, 1-25, 2021 | 34 | 2021 |
| Biological interpretation of deep neural network for phenotype prediction based on gene expression B Hanczar, F Zehraoui, T Issa, M Arles BMC bioinformatics 21, 1-18, 2020 | 31 | 2020 |
| A new transparent ensemble method based on deep learning N Sendi, N Abchiche-Mimouni, F Zehraoui Procedia Computer Science 159, 271-280, 2019 | 26 | 2019 |
| IpiRId: Integrative approach for piRNA prediction using genomic and epigenomic data A Boucheham, V Sommard, F Zehraoui, A Boualem, M Batouche, ... PloS one 12 (6), e0179787, 2017 | 21 | 2017 |
| New self-organizing maps for multivariate sequences processing F Zehraoui, Y Bennani International Journal of Computational Intelligence and Applications 5 (04 …, 2005 | 19 | 2005 |
| SAPHIR-a multi-scale, multi-resolution modeling environment targeting blood pressure regulation and fluid homeostasis SR Thomas, E Abdulhay, P Baconnier, J Fontecave, JP Françoise, ... 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 18 | 2007 |
| Assessment of deep learning and transfer learning for cancer prediction based on gene expression data B Hanczar, V Bourgeais, F Zehraoui BMC bioinformatics 23 (1), 262, 2022 | 17 | 2022 |
| CASEP2: Hybrid case-based reasoning system for sequence processing F Zehraoui, R Kanawati, S Salotti Advances in Case-Based Reasoning: 7th European Conference, ECCBR 2004 …, 2004 | 16 | 2004 |
| GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expression V Bourgeais, F Zehraoui, B Hanczar Bioinformatics 38 (9), 2504-2511, 2022 | 14 | 2022 |
| Self-organizing maps with supervised layer L Platon, F Zehraoui, F Tahi 2017 12th International Workshop on Self-Organizing Maps and Learning Vector …, 2017 | 13 | 2017 |
| M-som-art: Growing self organizing map for sequences clustering and classification F Zehraoui, Y Bennani ECAI 16, 564, 2004 | 13 | 2004 |
| Case base maintenance for improving prediction quality F Zehraoui, R Kanawati, S Salotti Case-Based Reasoning Research and Development: 5th International Conference …, 2003 | 13 | 2003 |
| IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejection L Platon, F Zehraoui, A Bendahmane, F Tahi Bioinformatics 34 (17), i620-i628, 2018 | 12 | 2018 |
| Systèmes d'apprentissage connexionnistes et raisonnement à partir de cas pour la classification et le classement de séquence F Zehraoui Paris 13, 2004 | 12 | 2004 |
| Phenotypes prediction from gene expression data with deep multilayer perceptron and unsupervised pre-training B Hanczar, M Henriette, T Ratovomanana, F Zehraoui Int J Biosci Biochem Bioinform 8, 125-31, 2018 | 9 | 2018 |
| M-som: matricial self organizing map for sequence clustering and classification F Zehraoui, Y Bennani 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 9 | 2004 |
| A novel integrative approach for non-coding RNA classification based on deep learning A Boukelia, A Boucheham, M Belguidoum, M Batouche, F Zehraoui, ... Current Bioinformatics 15 (4), 338-348, 2020 | 7 | 2020 |
