Weighting Words Using Bi-Normal Separation for Text Classification Tasks with Multiple Classes. - Jean-Thomas Baillargeon; Luc Lamontagne; Étienne Marceau (Canadian AI, 2019)

Encoding Neighbor Information into Geographical Embeddings Using Convolutional Neural Networks. - Christopher Blier-Wong; Jean-Thomas Baillargeon; Hélène Cossette; Luc Lamontagne; Etienne Marceau (FLAIRS, 2020)

Preventing RNN from Using Sequence Length as a Feature. - Jean-Thomas Baillargeon; Hélène Cossette; Luc Lamontagne (NLPIR, 2022)

Beer2Vec : Extracting Flavors from Reviews for Thirst-Quenching Recommandations. - Jean-Thomas Baillargeon; Nicolas Garneau (CoRR, 2022)

Reducing Sequence Length Learning Impacts on Transformer Models. - Jean-Thomas Baillargeon; Luc Lamontagne (CoRR, 2022)

Same File Prediction: A New Pretraining Objective for BERT-like Transformers. - Jean-Thomas Baillargeon; Luc Lamontagne (Canadian AI, 2024)

Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models. - Jean-Thomas Baillargeon; Luc Lamontagne (FLAIRS, 2024)

SMARTR: A Framework for Early Detection using Survival Analysis of Longitudinal Texts. - Jean-Thomas Baillargeon; Luc Lamontagne (NAACL (Student Research Workshop), 2024)