Alberto Cano
Alberto Cano
Assistant Professor of Computer Science, Virginia Commonwealth University, USA
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TitelZitiert vonJahr
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
C Márquez-Vera, A Cano, C Romero, S Ventura
Applied Intelligence 38 (3), 315-330, 2013
Early dropout prediction using data mining: a case study with high school students
C Márquez‐Vera, A Cano, C Romero, AYM Noaman, H Mousa Fardoun, ...
Expert Systems 33 (1), 107–124, 2016
Weighted Data Gravitation Classification for Standard and Imbalanced Data
A Cano, A Zafra, S Ventura
IEEE Transactions on Cybernetics 43 (6), 1672-1687, 2013
Speeding up the evaluation phase of GP classification algorithms on GPUs
A Cano, A Zafra, S Ventura
Soft Computing 16 (2), 187-202, 2012
High Performance Evaluation of Evolutionary-Mined Association Rules on GPUs
A Cano, JM Luna, S Ventura
Journal of Supercomputing 66 (3), 1438-1461, 2013
ur-CAIM: improved CAIM discretization for unbalanced and balanced data
A Cano, DT Nguyen, S Ventura, KJ Cios
Soft Computing 20 (1), 173-188, 2016
An Interpretable Classification Rule Mining Algorithm
A Cano, A Zafra, S Ventura
Information Sciences 240, 1-20, 2013
Multi-Target Support Vector Regression Via Correlation Regressor Chains
G Melki, A Cano, V Kecman, S Ventura
Information Sciences 415, 53-69, 2017
LAIM discretization for multi-label data
A Cano, JM Luna, EL Gibaja, S Ventura
Information Sciences 330, 370-384, 2016
Multi-objective genetic programming for feature extraction and data visualization
A Cano, S Ventura, KJ Cios
Soft Computing 21 (8), 2069–2089, 2017
Speeding up multiple instance learning classification rules on GPUs
A Cano, A Zafra, S Ventura
Knowledge and Information Systems 44 (1), 127-145, 2015
Speeding-Up Association Rule Mining With Inverted Index Compression
JM Luna, A Cano, M Pechenizkiy, S Ventura
IEEE Transactions on Cybernetics 46 (12), 3059-3072, 2016
Parallel multi-objective Ant Programming for classification using GPUs
A Cano, JL Olmo, S Ventura
Journal of Parallel and Distributed Computing 73 (6), 713-728, 2013
A survey on graphic processing unit computing for large-scale data mining
A Cano
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (1 …, 2018
A Classification Module for Genetic Programming Algorithms in JCLEC
A Cano, JM Luna, A Zafra, S Ventura
Journal of Machine Learning Research 16, 491-494, 2015
Solving classification problems using genetic programming algorithms on GPUs
A Cano, A Zafra, S Ventura
Hybrid Artificial Intelligence Systems, 17-26, 2010
Scalable CAIM discretization on multiple GPUs using concurrent kernels
A Cano, S Ventura, K Cios
Journal of Supercomputing 69 (1), 273-292, 2014
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs
A Cano, A Zafra, S Ventura
Neurocomputing 126 (45-57), 2014
Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams
B Krawczyk, A Cano
Applied Soft Computing 68, 677-692, 2018
A parallel genetic programming algorithm for classification
A Cano, A Zafra, S Ventura
International Conference on Hybrid Artificial Intelligence Systems, 172-181, 2011
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