| Y-chromosome descent clusters and male differential reproductive success: young lineage expansions dominate Asian pastoral nomadic populations P Balaresque, N Poulet, S Cussat-Blanc, P Gerard, L Quintana-Murci, ... European Journal of Human Genetics 23 (10), 1413-1422, 2015 | 105 | 2015 |
| Evolving simple programs for playing Atari games DG Wilson, S Cussat-Blanc, H Luga, JF Miller Proceedings of the genetic and evolutionary computation conference, 229-236, 2018 | 94 | 2018 |
| Evolutionary computation for wind farm layout optimization D Wilson, S Rodrigues, C Segura, I Loshchilov, F Hutter, GL Buenfil, ... Renewable energy 126, 681-691, 2018 | 89 | 2018 |
| Comparison of different machine learning approaches to predict dental age using Demirjian’s staging approach A Galibourg, S Cussat-Blanc, J Dumoncel, N Telmon, P Monsarrat, ... International Journal of Legal Medicine 135 (2), 665-675, 2021 | 57 | 2021 |
| Artificial gene regulatory networks—a review S Cussat-Blanc, K Harrington, W Banzhaf Artificial life 24 (4), 296-328, 2019 | 54 | 2019 |
| Gene regulatory network evolution through augmenting topologies S Cussat-Blanc, K Harrington, J Pollack IEEE Transactions on Evolutionary Computation 19 (6), 823-837, 2015 | 44 | 2015 |
| From Single Cell to Simple Creature Morphology and Metabolism. S Cussat-Blanc, H Luga, Y Duthen ALIFE, 134-141, 2008 | 39 | 2008 |
| Gene regulated car driving: using a gene regulatory network to drive a virtual car S Sanchez, S Cussat-Blanc Genetic Programming and Evolvable Machines 15, 477-511, 2014 | 26 | 2014 |
| On learning to generate wind farm layouts D Wilson, E Awa, S Cussat-Blanc, K Veeramachaneni, UM O'Reilly Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 24 | 2013 |
| Soft arc consistency applied to optimal planning M Cooper, S Cussat-Blanc, M de Roquemaurel, P Régnier Principles and Practice of Constraint Programming-CP 2006: 12th …, 2006 | 23 | 2006 |
| Artificial gene regulatory networks and spatial computation: A case study S Cussat-Blanc, N Bredeche, H Luga, Y Duthen, M Schoenauer ECAL, 2011 | 22 | 2011 |
| Explainable machine learning framework to predict personalized physiological aging D Bernard, E Doumard, I Ader, P Kemoun, J Pagès, A Galinier, ... Aging cell 22 (8), e13872, 2023 | 21 | 2023 |
| Evolutionary design of explainable algorithms for biomedical image segmentation K Cortacero, B McKenzie, S Müller, R Khazen, F Lafouresse, G Corsaut, ... Nature communications 14 (1), 7112, 2023 | 20 | 2023 |
| Cracking the egg: Virtual embryogenesis of real robots S Cussat-Blanc, J Pollack Artificial life 20 (3), 361-383, 2014 | 19 | 2014 |
| Cell2organ: Self-repairing artificial creatures thanks to a healthy metabolism S Cussat-Blanc, H Luga, Y Duthen 2009 IEEE Congress on Evolutionary Computation, 2708-2715, 2009 | 19 | 2009 |
| Sequential adjustment of cytotoxic T lymphocyte densities improves efficacy in controlling tumor growth R Khazen, S Müller, F Lafouresse, S Valitutti, S Cussat-Blanc Scientific reports 9 (1), 12308, 2019 | 18 | 2019 |
| ASGART: fast and parallel genome scale segmental duplications mapping F Delehelle, S Cussat-Blanc, JM Alliot, H Luga, P Balaresque Bioinformatics 34 (16), 2708-2714, 2018 | 18 | 2018 |
| A continuous developmental model for wind farm layout optimization D Wilson, S Cussat-Blanc, K Veeramachaneni, UM O'Reilly, H Luga Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 18 | 2014 |
| Ultrarapid lytic granule release from CTLs activates Ca2+-dependent synaptic resistance pathways in melanoma cells L Filali, MP Puissegur, K Cortacero, S Cussat-Blanc, R Khazen, ... Science Advances 8 (7), eabk3234, 2022 | 17 | 2022 |
| A cell-based developmental model to generate robot morphologies S Cussat-Blanc, J Pollack Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 17 | 2012 |