| Mining actuarial risk predictors in accident descriptions using recurrent neural networks JT Baillargeon, L Lamontagne, E Marceau Risks 9 (1), 7, 2020 | 11 | 2020 |
| Rethinking representations in P&C actuarial science with deep neural networks C Blier-Wong, JT Baillargeon, H Cossette, L Lamontagne, E Marceau arXiv preprint arXiv:2102.05784, 2021 | 8 | 2021 |
| Encoding neighbor information into geographical embeddings using convolutional neural networks C Blier-Wong, JT Baillargeon, H Cossette, L Lamontagne, E Marceau The Thirty-Third International Flairs Conference, 2020 | 8 | 2020 |
| Weighting words using bi-normal separation for text classification tasks with multiple classes JT Baillargeon, L Lamontagne, É Marceau Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019 | 4 | 2019 |
| Preventing RNN from Using Sequence Length as a Feature JT Baillargeon, H Cossette, L Lamontagne Proceedings of the 2022 6th International Conference on Natural Language …, 2022 | 1 | 2022 |
| Reducing Sequence Length Learning Impacts on Transformer Models JT Baillargeon, L Lamontagne arXiv preprint arXiv:2212.08399, 2022 | | 2022 |
| Beer2Vec: Extracting Flavors from Reviews for Thirst-Quenching Recommandations JT Baillargeon, N Garneau arXiv preprint arXiv:2208.04223, 2022 | | 2022 |
Luc LamontagneProfessor of Computer Science and Software Engineering, Laval UniversityVerified email at ift.ulaval.ca
