Jean-Sébastien Dessureault

18 papers Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
COMPASS: The explainable agentic framework for Sovereignty, Sustainability, Compliance, and Ethics.
CoRR
Jean-Sébastien Dessureault, Alain Thierry Iliho Manzi, Soukaina Alaoui Ismaili, Khadim Lo, Mireille Lalancette, Éric Bélanger
2025 J jnl
District Vitality Index Using Machine Learning Methods for Urban Planners.
CoRR
Sylvain Marcoux, Jean-Sébastien Dessureault
2025 J jnl
Ethical impacts of a NLP-based ML framework: the case of AI2.
AI Ethics
Jean-Sébastien Dessureault, Daniel Massicotte
2025 — conf
Evaluating Agentic AI Through a Geopolitical Simulation Sandbox.
IJCCI (1)
Jean-Sébastien Dessureault, Alain Thierry Iliho Manzi, Soukaina Alaoui Ismaili, Alitiana Mijoro Barisoa, Donald Yankam Djioke, Alex Bergeron, Assefa Yared-Amare, Mireille Lalancette, Éric Bélanger
2025 J jnl
The ethics of creating artificial superintelligence: a global risk perspective.
AI Ethics
Jean-Sébastien Dessureault, Robert Lamontagne, Pierre-Olivier Parisé
2025 — conf
Urban Intersection Safety Risk Index: Machine Learning Methods for Real-Time Classification.
DSP
Thierno Fall, Daniel Massicotte, Jean-Sébastien Dessureault, Messaoud Ahmed Ouameur
2024 J jnl
DPDR: A Novel Machine Learning Method for the Decision Process for Dimensionality Reduction.
SN Comput. Sci.
Jean-Sébastien Dessureault, Daniel Massicotte
2024 J jnl
Explainable Machine Learning Method for Aesthetic Prediction of Doors and Home Designs.
Inf.
Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier, Daniel Massicotte
2023 J jnl
AI
Autom. Softw. Eng.
Jean-Sébastien Dessureault, Daniel Massicotte
2023 J jnl
AI2: The next leap toward native language based and explainable machine learning framework.
CoRR
Jean-Sébastien Dessureault, Daniel Massicotte
2023 — conf
AI2: a novel explainable machine learning framework using an NLP interface.
ICMLT
Jean-Sébastien Dessureault, Daniel Massicotte
2023 J jnl
Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation.
Appl. Intell.
Jean-Sébastien Dessureault, Daniel Massicotte
2022 J jnl
DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction.
CoRR
Jean-Sébastien Dessureault, Daniel Massicotte
2022 J jnl
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation.
CoRR
Jean-Sébastien Dessureault, Daniel Massicotte
2022 — conf
Unsupervised Machine Learning Methods for City Vitality Index.
SAI (2)
Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte
2022 J jnl
ck-means, a novel unsupervised learning method that combines fuzzy and crispy clustering methods to extract intersecting data.
CoRR
Jean-Sébastien Dessureault, Daniel Massicotte
2021 J jnl
Feature selection or extraction decision process for clustering using PCA and FRSD.
CoRR
Jean-Sébastien Dessureault, Daniel Massicotte
2020 J jnl
Unsupervised Machine learning methods for city vitality index.
CoRR
Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte