Items published in "2023"

B

Bertalan, V., & Aloise, D. (2023, October). Using Transformer Models and Textual Analysis for Log Parsing [Paper]. 34th International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy. External link

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Fournier, Q., Aloise, D., & Costa, L. R. (2023). Language Models for Novelty Detection in Kernel Traces [Dataset]. External link

Fournier, Q., Caron, G. M., & Aloise, D. (2023). A Practical Survey on Faster and Lighter Transformers. ACM Computing Surveys, 55(14s), 1-40. External link

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Jeske, M., Nascimento, M. C.V., Aloise, D., & Sanso, B. (2023, November). Path loss prediction for mesh networks in a real urban environment using machine learning [Presentation]. In Simpósio Brasileiro de Pesquisa Operacional 2023, São José dos Campos, SP, Brasil. Published in Anais do Simpósio Brasileiro de Pesquisa Operacional, 55. External link

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Randel, R., Aloise, D., & Hertz, A. (2023, April). A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation [Paper]. SIAM International Conference on Data Mining (SDM 2023), Minneapolis, MN, USA. External link

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. (Technical Report n° G-2023-61). External link