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Fournier, Q., Aloise, D., & Costa, L. R. (2023). Language Models for Novelty Detection in Kernel Traces [Ensemble de données]. Lien externe
Fournier, Q., Caron, G. M., & Aloise, D. (2023). A Practical Survey on Faster and Lighter Transformers. ACM Computing Surveys, 55(14s), 1-40. Lien externe
Gomes Ferreira Bertalan, V., & Aloise, D. (octobre 2023). Using Transformer Models and Textual Analysis for Log Parsing [Communication écrite]. 34th International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy. Lien externe
Jeske, M., Nascimento, M. C. V., Aloise, D., & Sanso, B. (novembre 2023). Path loss prediction for mesh networks in a real urban environment using machine learning [Présentation]. Dans Simpósio Brasileiro de Pesquisa Operacional 2023, São José dos Campos, SP, Brasil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 55. Lien externe
Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. (Rapport technique n° G-2023-30). Lien externe
Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Towards effective rebalancing of bike-sharing systems with regular and electric bikes. (Rapport technique n° G-2023-31). Lien externe
Randel, R., Aloise, D., & Hertz, A. (avril 2023). A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation [Communication écrite]. SIAM International Conference on Data Mining (SDM 2023), Minneapolis, MN, USA. Lien externe
Rastgar-Amini, F., Aloise, D., Contardo, C., & Desaulniers, G. (2023). Data mining-driven shift enumeration for acceleratiing the solution of large-scale personnel scheduling problems. (Rapport technique n° G-2023-61). Lien externe
