Répertoire du corps professoral

Development of new methods for the joint modeling of longitudinal ans survival data with applications in finance and insurance
Programme: Subventions Alliance
Organisme(s) subventionnaire(s): Fédération des caisses Desjardins du Québec (La), Conseil de recherches en sciences naturelles et génie Canada, PROMPT-Québec
Type de financement: Subvention
Établissement tête: Université Laval
Du 15 mars 2021 au 14 mars 2026

Big data analytics in insurance
Programme: Subventions de recherche et développement coopérative (RDC)
Organisme(s) subventionnaire(s): Intact Corporation Financière, Conseil de recherches en sciences naturelles et génie Canada
Type de financement: Subvention
Établissement tête: Université Laval
Du 1 mai 2018 au 30 avril 2025

Financements des 2 dernières années

Alfred Technologies : Plongements vinicoles
Programme: Accélération Québec (MITACS et gouvernement provincial)
Organisme(s) subventionnaire(s): MITACS Inc.
Type de financement: Subvention
Établissement tête: Université Laval
Du 6 septembre 2022 au 5 septembre 2023

Encadrements terminés dans les 5 dernières années

Simon-Olivier Lépine, Maîtrise en statistique - avec mémoire

David Beauchemin, Maîtrise en informatique - avec mémoire

Maude Roy-Labbé, Maîtrise en génie électrique - avec mémoire

Mathieu Godbout, Maîtrise en informatique - avec mémoire

Dominique Pothier, Maîtrise en informatique - avec mémoire

Publications des 5 dernières années

A representation-learning approach for insurance pricing with images ASTIN Bulletin, 2024. Blier-Wong, C., Lamontagne, L., Marceau, E.. DOI 10.1017/asb.2024.9

A representation-learning approach for insurance pricing with images arXiv, 2023. Blier-Wong, C., Lamontagne, L., Marceau, E.. DOI 10.48550/arXiv.2309.11404

A case-based reasoning tool to recommend drinking water source protection actions Journal of Environmental Management, 2023. Cerutti, J., Abi-Zeid, I., Lamontagne, L., Lavoie, R., Rodriguez-Pinzon, M.J.. DOI 10.1016/j.jenvman.2023.117228

Preventing RNN from Using Sequence Length as a Feature 2022/12/16. Jean-Thomas Baillargeon, Helene Cossette, Luc Lamontagne. DOI 10.1145/3582768.3582776

A case-based reasoning system to recommend solutions for source water protection: knowledge acquisition and modelling Knowledge Management Research & Practice, 2022/11/02. Jérôme Cerutti, Irène Abi-Zeid, Luc Lamontagne, Roxane Lavoie, Manuel J. Rodriguez. DOI 10.1080/14778238.2022.2075808

Preventing RNN from Using Sequence Length as a Feature arXiv, 2022. Baillargeon, J.-T., Cossette, H., Lamontagne, L.. DOI 10.48550/arXiv.2212.08276

GEOGRAPHIC RATEMAKING WITH SPATIAL EMBEDDINGS ASTIN Bulletin, 2022. Blier-Wong, C., Cossette, H., Lamontagne, L., Marceau, E.. DOI 10.1017/asb.2021.25

Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description 15th International Natural Language Generation Conference, INLG 2022, 2022. Garneau, N., Gaumond, E., Lamontagne, L., Déziel, P.-L..

Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models arXiv, 2022. Baillargeon, J.-T., Lamontagne, L.. DOI 10.48550/arXiv.2212.08399

Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator Eval4NLP 2021 - Evaluation and Comparison of NLP Systems, Proceedings of the 2nd Workshop, 2021. Garneau, N., Lamontagne, L.. DOI 10.26615/978-954-452-056-4_006

Shared Task in Evaluating Accuracy: Leveraging Pre-Annotations in the Validation Process INLG 2021 - 14th International Conference on Natural Language Generation, Proceedings, 2021. Garneau, N., Lamontagne, L..

Rethinking representations in P&C actuarial science with deep neural networks arXiv, 2021. Blier-Wong, C., Baillargeon, J.-T., Cossette, H., Lamontagne, L., Marceau, E.. DOI 10.48550/arxiv.2102.05784

Plum2Text: A French plumitifs-descriptions data-to-text dataset for natural language generation Proceedings of the 18th International Conference on Artificial Intelligence and Law, ICAIL 2021, 2021. Garneau, N., Gaumond, E., Lamontagne, L., Déziel, P.-L.. DOI 10.1145/3462757.3466148

Multinational address parsing: A zero-shot evaluation arXiv, 2021. Yassine, M., Beauchemin, D., Laviolette, F., Lamontagne, L.. DOI 10.48550/arxiv.2112.04008

Mining actuarial risk predictors in accident descriptions using recurrent neural networks Risks, 2021. Baillargeon, J.-T., Lamontagne, L., Marceau, E.. DOI 10.3390/risks9010007

Machine learning in p&c insurance: a review for pricing and reserving Risks, 2021. Blier-Wong, C., Cossette, H., Lamontagne, L., Marceau, E.. DOI 10.3390/risks9010004

Geographic ratemaking with spatial embeddings arXiv, 2021. Blier-Wong, C., Cossette, H., Lamontagne, L., Marceau, E.. DOI 10.48550/arxiv.2104.12852

CriminelBART: A French Canadian legal language model specialized in criminal law Proceedings of the 18th International Conference on Artificial Intelligence and Law, ICAIL 2021, 2021. Garneau, N., Gaumond, E., Lamontagne, L., Déziel, P.-L.. DOI 10.1145/3462757.3466147

Machine Learning in Property and Casualty Insurance: A Review for Pricing and Reserving SSRN, 2020. Blier-Wong, C., Cossette, H., Lamontagne, L., Marceau, E.. DOI 10.2139/ssrn.3723780

Leveraging subword embeddings for multinational address parsing arXiv, 2020. Yassine, M., Beauchemin, D., Laviolette, F., Lamontagne, L.. DOI 10.48550/arxiv.2006.16152

Leveraging subword embeddings for multinational address parsing Colloquium in Information Science and Technology, CIST, 2020. Yassine, M., Beauchemin, D., Laviolette, F., Lamontagne, L.. DOI 10.1109/CiSt49399.2021.9357170

Generating intelligible plumitifs descriptions: Use case application with ethical considerations arXiv, 2020. Beauchemin, D., Garneau, N., Gaumond, E., Déziel, P.-L., Khoury, R., Lamontagne, L.. DOI 10.48550/arxiv.2011.12183

Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations INLG 2020 - 13th International Conference on Natural Language Generation, Proceedings, 2020. Beauchemin, D., Garneau, N., Gaumond, E., Déziel, P.-L., Khoury, R., Lamontagne, L..

Encoding neighbor information into geographical embeddings using convolutional neural networks Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2020, 2020. Blier-Wong, C., Baillargeon, J.-T., Cossette, H., Lamontagne, L., Marceau, E..

Encoding Neighbor Information into Geographical Embeddings Using Convolutional Neural Networks The Thirty-Third International Flairs Conference (FLAIRS), 2020.

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings: Making the method robustly reproducible as well LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, 2020. Garneau, N., Godbout, M., Beauchemin, D., Durand, A., Lamontagne, L..

Weighting Words Using Bi-Normal Separation for Text Classification Tasks with Multiple Classes Canadian Conference on Artificial Intelligence, 2019. DOI 10.1007/978-3-030-18305-9_41

Predicting and interpreting embeddings for out of vocabulary words in downstream tasks arXiv, 2019. Garneau, N., Leboeuf, J.-S., Lamontagne, L.. DOI 10.48550/arxiv.1903.00724

Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks Canadian Conference on Artificial Intelligence, 2019. DOI 10.1007/978-3-030-18305-9_60

Attending form and context to generate specialized out-of-vocabulary words representations arXiv, 2019. Garneau, N., Leboeuf, J.-S., Pinter, Y., Lamontagne, L.. DOI 10.48550/arxiv.1912.06876

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings: Making the method robustly reproducible as well arXiv, 2019. Garneau, N., Godbout, M., Beauchemin, D., Durand, A., Lamontagne, L.. DOI 10.48550/arxiv.1912.01706