Jean-Sébastien Dessureault

Orcid: 0000-0002-9245-7897

According to our database1, Jean-Sébastien Dessureault authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Explainable Machine Learning Method for Aesthetic Prediction of Doors and Home Designs.
Inf., April, 2024

DPDR: A Novel Machine Learning Method for the Decision Process for Dimensionality Reduction.
SN Comput. Sci., January, 2024

2023
AI<sup>2</sup>: the next leap toward native language-based and explainable machine learning framework.
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.
Appl. Intell., October, 2023

AI2: The next leap toward native language based and explainable machine learning framework.
CoRR, 2023

AI2: a novel explainable machine learning framework using an NLP interface.
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.
CoRR, 2022

Unsupervised Machine Learning Methods for City Vitality Index.
Proceedings of the Intelligent Computing, 2022

2021
Feature selection or extraction decision process for clustering using PCA and FRSD.
CoRR, 2021


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