Antonio J. Rivera

Addressing imbalance in multilabel classification: Measures and random resampling algorithms

Francisco Charte, Antonio J. Rivera, María José del Jesús et al. · Neurocomputing · 2015 · 279 citations

Data Classification, Classification Method, Engineering +10

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

Francisco Charte, Antonio J. Rivera, María José del Jesús et al. · Knowledge-Based Systems · 2015 · 234 citations

Artificial Intelligence, Natural Language Processing, Engineering +6

A methodology for applying k-nearest neighbor to time series forecasting

Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy et al. · Artificial Intelligence Review · 2017 · 163 citations

Forecasting Methodology, Probabilistic Forecasting, Engineering +8

GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems

F. J. Berlanga, Antonio J. Rivera, María José del Jesús et al. · Information Sciences · 2010 · 124 citations

Artificial Intelligence, Evolutionary Data Mining, Fuzzy Logic +12

Dealing with seasonality by narrowing the training set in time series forecasting with k NN

Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy et al. · Expert Systems with Applications · 2018 · 77 citations

Forecasting Methodology, Engineering, Machine Learning +5