Jean Claude Hervé Yao

Publications

• 2026
  Nicol, M., St-Denis, A., Belbahar, R. M., Maure, F., Gascon-Afriat, A., Messier, C. et al. (2026) SylvCiT – An AI-based support to urban forest resilience. PLoS ONE, e0339173-e0339173. Public Library of Science.
  DOI
• 2025
  Maison, L., Soulas, T., Meurs, M. (2025) CEREALES : a new dataset of Quebec French accented speech with applications to speech recognition.
  DOI
• 2023
  Arulmohan, S., Meurs, M., Mosser, S. (2023) Extracting Domain Models from Textual Requirements in the Era of Large Language Models.
  DOI
• 2023
  Rancourt, F., Vondrlik, P., Maupomé, D., Meurs, M. (2023) Investigating Self-Rationalizing Models for Commonsense Reasoning. Stats, 907-919. Multidisciplinary Digital Publishing Institute.
  DOI
• 2023
  Maupomé, D., Meurs, M. (2023) Multiplicative Models for Recurrent Language Modeling. Lecture notes in computer science, 332-341. Springer Science+Business Media.
  DOI
• 2023
  Choudhry, A., Gupta, P., Khatri, I., Gupta, A., Nicol, M., Meurs, M. et al. (2023) Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 16196-16197. Association for the Advancement of Artificial Intelligence.
  DOI
• 2023
  Choudhry, A., Khatri, I., Gupta, P., Gupta, A., Nicol, M., Meurs, M. et al. (2023) Adversarial Adaptation for French Named Entity Recognition. Lecture notes in computer science, 386-395. Springer Science+Business Media.
  DOI
• 2023
  St‐Denis, A., Maure, F., Belbahar, R. M., Delagrange, S., Handa, I. T., Kneeshaw, D. et al. (2023) An Urban Forest Diversification Software to Improve Resilience to Global Change. Arboriculture & Urban Forestry, 76-91.
  DOI
• 2022
  Bergeron, A., Meurs, M., Valiquette-Labonté, R., Swenson, K. M. (2022) On the Comparison of Bacteriophage Populations. Lecture notes in computer science, 3-20. Springer Science+Business Media.
  DOI
• 2022
  Dandurand, G., Lussier-Lejeune, F., Letendre, D., Meurs, M. (2022) Attentes et promesses technoscientifiques. Les Presses de l'Université de Montréal eBooks. Presses de l'Université de Montréal.
  DOI
• 2022
  Maupomé, D., Armstrong, M. D., Belbahar, R. M., Alezot, J., Balassiano, R., Rancourt, F. et al. (2022) Automatically Estimating the Severity of Multiple Symptoms Associated with Depression. Studies in computational intelligence, 247-261. Springer Nature.
  DOI
• 2022
  Maupomé, D., Meurs, M. (2022) Contextualizer: Connecting the Dots of Context with Second-Order Attention. Information, 290-290. Multidisciplinary Digital Publishing Institute.
  DOI