Publicaciones del autor

Nombre
Cornelio Yáñez Márquez

Titulo	Descripción	Año
The Naïve Associative Classifier with Epsilon disambiguation	IEEE Access	2020
AISAC: An Artificial Immune System for Associative Classification Applied to Breast Cancer Detection	Applied Sciences - Basel	2020
NACOD: A Naïve Associative Classifier for Online Data	IEEE Access	2019
A simple model for the entropy of a system with interacting particles	IEEE Access	2019
An extension of the Gamma associative classifier for dealing with hybrid data	IEEE Access	2019
Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data	Journal of Universal Computer Science	2020
Determining Electoral Preferences in Mexican Voters by Computational Intelligence Algorithms	IEEE Latin America Transactions	2020
Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems	IET Software	2020
Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm	Intelligent Data Analysis	2019
Exact solutions of the 1D Schrodinger equation with the Mathieu potential	Physics Letters A	2020
Granulation in Rough Set Theory: A novel perspective	International Journal of Approximate Reasoning	2020
Prediction of Cancer using Microarrays Analysis by Machine Learning Algorithms	Research in Computing Science	2019
Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications	Neural Processing Letters	2018
A Novel Data Analytics Method for Predicting the Delivery Speed of Software Enhancement Projects	Mathematics	2020
Using machine learning algorithms to measure stellar magnetic fields	Astronomy & Astrophysics	2018
An Associative Memory Approach to Healthcare Monitoring and Decision Making	Sensors	2018
Prediction of Online Students Performance by Means of Genetic Programming	Applied Artificial Intelligence	2018
Social Web Content Enhancement in a Distance Learning Environment: Intelligent Metadata Generation for Resources	International Review of Research in Open and Distributed Learning	2017
Bio-inspired algorithms for improving mixed and incomplete data clustering	IEEE Latin America Transactions	2018
A conceptual data model for the automatic generation of data views	Applied Mathematics and Information Sciences	2016

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