Jean-Sébastien Dessureault

According to our database, Jean-Sébastien Dessureault authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., April, 2024

DPDR: A Novel Machine Learning Method for the Decision Process for Dimensionality Reduction.

Jean-Sébastien Dessureault, Daniel Massicotte

SN Comput. Sci., January, 2024

2023

AI²: the next leap toward native language-based and explainable machine learning framework.

Jean-Sébastien Dessureault, Daniel Massicotte

Autom. Softw. Eng., November, 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., October, 2023

AI2: The next leap toward native language based and explainable machine learning framework.

Jean-Sébastien Dessureault, Daniel Massicotte

CoRR, 2023

AI2: a novel explainable machine learning framework using an NLP interface.

Jean-Sébastien Dessureault, Daniel Massicotte

Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

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

Unsupervised Machine Learning Methods for City Vitality Index.

Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte

Proceedings of the Intelligent Computing, 2022

2021

Feature selection or extraction decision process for clustering using PCA and FRSD.

Jean-Sébastien Dessureault, Daniel Massicotte

CoRR, 2021