aFdezHilario
Full Profesor in the field of Computer Science and Artificial Intelligence. Working in Artificial Intelligence and Data Science research projects.
University of GranadaGranada, Spain
Pinned Repositories
C4.5-Binarization-SMOTE
Implementation of C4.5 + Binarization (OVO / OVA) with/without SMOTE preprocessing. This way, multi-class imbalanced problems can be addressed
Chi-FRBCS
Java implementation of the well-known Chi et al algorithm, following KEEL Software Suite programming style.
Chi-FRBCS-RS
Evolutionary Fuzzy System for Rule Selection. Baseline algorithm Chi-FRBCS. CHC approach
Chi-Spark-RS
Evolutionary Fuzzy Rule Selection for Big Data
ChiFRBCSPy
Chi FRBCS implementation in Python. Scikit-learn compatible
EFIS-MOEA
EFIS-MOEA algorithm from: A. Fernandez et al: A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets (IJNS - 2017)
IAOI-P1-CuadriculaPuntoObjetivo
KEEL
KEEL: Knowledge Extraction based on Evolutionary Learning
paper53-ReviewBigData-INFFUS
Review about Big Data algorithms for publication on Information Fusion
aFdezHilario's Repositories
aFdezHilario/Chi-Spark-RS
Evolutionary Fuzzy Rule Selection for Big Data
aFdezHilario/EFIS-MOEA
EFIS-MOEA algorithm from: A. Fernandez et al: A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets (IJNS - 2017)
aFdezHilario/ChiFRBCSPy
Chi FRBCS implementation in Python. Scikit-learn compatible
aFdezHilario/C4.5-Binarization-SMOTE
Implementation of C4.5 + Binarization (OVO / OVA) with/without SMOTE preprocessing. This way, multi-class imbalanced problems can be addressed
aFdezHilario/Chi-FRBCS
Java implementation of the well-known Chi et al algorithm, following KEEL Software Suite programming style.
aFdezHilario/Chi-FRBCS-RS
Evolutionary Fuzzy System for Rule Selection. Baseline algorithm Chi-FRBCS. CHC approach
aFdezHilario/IAOI-P1-CuadriculaPuntoObjetivo