"Dessureault, J.-S."

Dessureault, J.-S., Clément, F., Ba, S., Meunier, F. et Massicotte, D. (2024). Explainable machine learning method for aesthetic prediction of doors and home designs. Information, 15 (4). p. 203. ISSN 2078-2489 DOI 10.3390/info15040203

Dessureault, J.-S. et Massicotte, D. (2023). AI2: The next leap toward native language-based and explainable machine learning framework. Automated Software Engineering, 30 (2). p. 32. ISSN 1573-7535 DOI 10.1007/s10515-023-00399-5

Dessureault, J.-S. et Massicotte, D. (2023). DPDR: A novel machine learning method for the decision process for dimensionality reduction. SN Computer Science, 5 (1). p. 124. ISSN 2661-8907 DOI 10.1007/s42979-023-02394-9

Dessureault, J.-S. et Massicotte, D. (2023). Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation. Applied Intelligence, 53 . 21532–21542. ISSN 1573-7497 DOI 10.1007/s10489-023-04661-x

Dessureault, J.-S. et Massicotte, D. (2022). DPDRC, a novel machine learning method about the decision process for dimensionality reduction before clustering. AI, 3 (1). pp. 1-21. ISSN 2673-2688 DOI 10.3390/ai3010001