C. Réda, J.-J. Vie and O. Wolkenhauer. Joint Embedding-Classifier Learning for Interpretable Collaborative Filtering Under review, 2024 HAL-04625183
C. Réda, J.-J. Vie and O. Wolkenhauer. Comprehensive evaluation of collaborative filtering in drug repurposing Under review, 2024 HAL-04626970
R. Bordoloi, C. Réda, O. Trautmann, S. Bej and O. Wolkenhauer. Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data Under review, 2024 arXiv-2402.13103
M. Jourdan and C. Réda. An Anytime Algorithm for Good Arm Identification Under review, 2023 arXiv-2310.10359
A. Dufour, A. Heydari-Olya, S. Foulon, C. Réda, et al. Neonatal inflammation impairs developmentally-associated microglia and promotes a highly reactive microglial subset In Brain, Behavior, and Immunity, 2024 DOI-10.1016/j.bbi.2024.09.019
C. Réda, J.-J. Vie and O. Wolkenhauer. stanscofi and benchscofi: a new standard for drug repurposing by collaborative filtering In Journal of Open Source Software, 2024 DOI-10.21105/joss.05973
C. Réda and A. Delahaye-Duriez. NORDic: a Network-Oriented package for the Repurposing of Drugs In Journal of Open Source Software, 2023 DOI-10.21105/joss.05532
C. Réda, S. Vakili, and É. Kaufmann. Near-Optimal Collaborative Learning With Bandits In Proceedings of the 36th Conference on Neural Information Processing Systems, 2022 HAL-03825099 [Selected as oral]
C. Réda and A. Delahaye-Duriez. Prioritization of Candidate Genes Through Boolean Networks In Proceeedings of the 20th International Conference on Computational Methods in Systems Biology, 2022. In accordance with Springer Nature’s sharing policy: accepted manuscript [Best student paper award]
C. Réda, A. Tirinzoni, and R. Degenne. Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification In Proceedings of the 35th Conference on Neural Information Processing Systems, 2021 HAL-03409205.
C. Réda, É. Kaufmann, and A. Delahaye-Duriez. Top-m identification for linear bandits In Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021 HAL-03172145.
C. Réda, É. Kaufmann, and A. Delahaye-Duriez. Machine learning applications in drug development In Computational and Structural Biotechnology Journal, 2020 DOI-10.1016/j.csbj.2019.12.006.
C. Réda and B. Wilczyński. Automated Inference of Gene Regulatory Networks Using Explicit Regulatory Modules In Journal of Theoretical Biology, 2020 DOI-10.1016/j.jtbi.2019.110091. In accordance with Elsevier’s sharing policy: accepted manuscript.
A. Delahaye-Duriez, C. Réda and P. Gressens. Identification de cibles thérapeutiques et repositionnement de médicaments par analyses de réseaux géniques In médecine/sciences, 2019 (full text).
C. Réda. NORDic: drug response simulation and drug repurposing with Boolean networks @GT Bioss Days 2024: CoLoMoTo Workshop (program).
C. Réda. NORDic: End-to-end inference for Boolean networks @Atelier GT Bioss 2024: Évaluation de méthodes d’inférence de modèles dynamiques (program).
C. Réda, J.-J. Vie and O. Wolkenhauer. Benchmarking collaborative filtering approaches to drug repurposing @e:Med2023 (program).
C. Réda, J.-J. Vie and O. Wolkenhauer. JELI: an interpretable embedding-learning recommender system for drug repurposing @ECCB’24
C. Réda, J.-J. Vie and O. Wolkenhauer. JELI: an interpretable embedding-learning recommender system for drug repurposing @JOBIM’24
C. Réda, J.-J. Vie and O. Wolkenhauer. Towards a large-scale benchmark of collaborative filtering in drug repurposing @SMPGD’24
C. Réda and A. Delahaye-Duriez. Drug repurposing in breast cancer by combining bandit algorithms and Boolean networks with NORDic @ISMB/ECCB’23
C. Réda. Groupe de Travail sur la BIOlogie Systémique Symbolique (GT BioSS) Online, April 7th, 2023
C. Réda. Statistical Methods for Post Genomic Data (SMPGD) 2023 Ghent, February 2nd-3rd, 2023
C. Réda Combination of gene regulatory networks and sequential machine learning for drug repurposing TEL-03846072 Viva on 09/09/22