Abdoulaye Baniré Diallo

Abdoulaye Baniré Diallo

Professeur

Bioinformatique Biologie computationnelle Génétique Génomique Pharmacologie Phylogénie

Publications

  • 2026
    Massoua, A. B., Bouguessa, M., Diallo, A. B. (2026) A Unified Framework for Reliable Survival Analysis. IEEE Transactions on Artificial Intelligence, 1-15. Institute of Electrical and Electronics Engineers.
  • 2026
    Amar, M. M., Mrabah, N., Bouguessa, M., Diallo, A. B. (2026) A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions. IEEE Transactions on Knowledge and Data Engineering, 4076-4092. IEEE Computer Society.
  • 2026
    Toure, F. G., Diallo, A. B., Boukadoum, M. (2026) Farm-Scale Autonomous Welfare Monitoring in Smart Livestock Farming: A Systematic Review of Robotics and Multimodal AI With an Emphasis on the Lab-to-Farm Deployment Gap. IEEE Transactions on AgriFood Electronics, 1-10. Institute of Electrical and Electronics Engineers.
  • 2025
    Naghashi, V., Boukadoum, M., Diallo, A. B. (2025) Should We Reconsider RNNs for Time-Series Forecasting?. AI, 90-90. Multidisciplinary Digital Publishing Institute.
  • 2025
    Massoua, A. B., Bouguessa, M., Diallo, A. B. (2025) Survival Structured Probabilistic Coding: Uncertainty-Aware Representation Learning for Time-to-Event Prediction.
  • 2025
    Naghashi, V., Boukadoum, M., Diallo, A. B. (2025) A bi-directional cross-channel RNN model for time-series forecasting of dairy production. Scientific Reports, 44967-44967. Nature Portfolio.
  • 2025
    Naghashi, V., Boukadoum, M., Diallo, A. B. (2025) A multiscale model for multivariate time series forecasting. Scientific Reports, 1565-1565. Nature Portfolio.
  • 2025
    Amar, M. M., Bouguessa, M., Diallo, A. B. (2025) MLCDG: Multi-Level Contrastive Graph Clustering in Dynamic Graphs. Lecture notes in computer science, 197-210. Springer Science+Business Media.
  • 2024
    Massoua, A. B., Diallo, A. B., Bouguessa, M. (2024) Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model.
  • 2023
    Mrabah, N., Amar, M. M., Bouguessa, M., Diallo, A. B. (2023) Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. Proceedings of the AAAI Conference on Artificial Intelligence, 9235-9242. Association for the Advancement of Artificial Intelligence.
  • 2023
    Mrabah, N., Amar, M. M., Bouguessa, M., Diallo, A. B. (2023) Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data.
  • 2022
    Martin, T., Frías, V. G. F., Valtchev, P., Diallo, A. B., Lacroix, R. (2022) Generalized graph pattern discovery in linked data with data properties and a domain ontology. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1890-1899.