[PDF][PDF] Explainable Rules and Heuristics in AI Algorithm Recommendation Approaches—A Systematic Literature Review and Mapping Study
A García-Holgado, A Vazquez-Ingelmo… - 2023 - cdn.techscience.cn
The exponential use of artificial intelligence (AI) to solve and automated complex tasks has
catapulted its popularity generating some challenges that need to be addressed. While AI is …
catapulted its popularity generating some challenges that need to be addressed. While AI is …
Data Quality Assessment and Recommendation of Feature Selection Algorithms: An Ontological Approach
Feature selection plays an important role in machine learning and data mining problems.
Identifying the best feature selection algorithm that helps to remove irrelevant and redundant …
Identifying the best feature selection algorithm that helps to remove irrelevant and redundant …
Modèle ontologique formel, un appui à la sélection des variables pour la construction des modèles multivariés.
T Pressat-Laffouilhère - 2023 - theses.hal.science
Répondre à une question de recherche causale dans un contexte d'étude observationnelle
nécessite desélectionner des variables de confusion. Leur intégration dans un modèle …
nécessite desélectionner des variables de confusion. Leur intégration dans un modèle …
Flexible Heuristics for Supporting Recommendations Within an AI Platform Aimed at Non-expert Users
A Vázquez-Ingelmo, A García-Holgado… - … Conference on Web …, 2022 - Springer
Abstract The use of Machine Learning (ML) to resolve complex tasks has become popular in
several contexts. While these approaches are very effective and have many related benefits …
several contexts. While these approaches are very effective and have many related benefits …