Feature selection or extraction decision process for clustering using PCA and FRSD. - Jean-Sébastien Dessureault; Daniel Massicotte (CoRR, 2021)

Unsupervised Machine Learning Methods for City Vitality Index. - Jean-Sébastien Dessureault; Jonathan Simard; Daniel Massicotte (SAI (2), 2022)

ck-means, a novel unsupervised learning method that combines fuzzy and crispy clustering methods to extract intersecting data. - Jean-Sébastien Dessureault; Daniel Massicotte (CoRR, 2022)

AI2: a novel explainable machine learning framework using an NLP interface. - Jean-Sébastien Dessureault; Daniel Massicotte (ICMLT, 2023)

AI2: The next leap toward native language based and explainable machine learning framework. - Jean-Sébastien Dessureault; Daniel Massicotte (CoRR, 2023)

Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation. - Jean-Sébastien Dessureault; Daniel Massicotte (Appl. Intell., 2023)

AI2: the next leap toward native language-based and explainable machine learning framework. - Jean-Sébastien Dessureault; Daniel Massicotte (Autom. Softw. Eng., 2023)

DPDR: A Novel Machine Learning Method for the Decision Process for Dimensionality Reduction. - Jean-Sébastien Dessureault; Daniel Massicotte (SN Comput. Sci., 2024)

Explainable Machine Learning Method for Aesthetic Prediction of Doors and Home Designs. - Jean-Sébastien Dessureault; Félix Clément; Seydou Ba; François Meunier; Daniel Massicotte (Inf., 2024)

Urban Intersection Safety Risk Index: Machine Learning Methods for Real-Time Classification. - Thierno Fall; Daniel Massicotte; Jean-Sébastien Dessureault; Messaoud Ahmed Ouameur (DSP, 2025)

District Vitality Index Using Machine Learning Methods for Urban Planners. - Sylvain Marcoux; Jean-Sébastien Dessureault (CoRR, 2025)

Ethical impacts of a NLP-based ML framework: the case of AI2. - Jean-Sébastien Dessureault; Daniel Massicotte (AI Ethics, 2025)