Jean-Sébastien Dessureault

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Data Imputation

Decision Process

Feature Importance

Machine Learning

Top Venues

Autom. Softw. Eng.

Publications

Jean-Sébastien Dessureault, Daniel Massicotte
DPDR: A Novel Machine Learning Method for the Decision Process for Dimensionality Reduction. SN Comput. Sci. 5 (1) (2024)
Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier, Daniel Massicotte
Explainable Machine Learning Method for Aesthetic Prediction of Doors and Home Designs. Inf. 15 (4) (2024)
Jean-Sébastien Dessureault, Daniel Massicotte
: the next leap toward native language-based and explainable machine learning framework. Autom. Softw. Eng. 30 (2) (2023)
Jean-Sébastien Dessureault, Daniel Massicotte
AI2: a novel explainable machine learning framework using an NLP interface. ICMLT (2023)
Jean-Sébastien Dessureault, Daniel Massicotte
AI2: The next leap toward native language based and explainable machine learning framework. CoRR (2023)
Jean-Sébastien Dessureault, Daniel Massicotte
Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation. Appl. Intell. 53 (19) (2023)
Jean-Sébastien Dessureault, Daniel Massicotte
ck-means, a novel unsupervised learning method that combines fuzzy and crispy clustering methods to extract intersecting data. CoRR (2022)
Jean-Sébastien Dessureault, Daniel Massicotte
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation. CoRR (2022)
Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte
Unsupervised Machine Learning Methods for City Vitality Index. SAI (2) (2022)
Jean-Sébastien Dessureault, Daniel Massicotte
DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction. CoRR (2022)
Jean-Sébastien Dessureault, Daniel Massicotte
Feature selection or extraction decision process for clustering using PCA and FRSD. CoRR (2021)
Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte
Unsupervised Machine learning methods for city vitality index. CoRR (2020)