Alberto Cano
Alberto Cano
Associate Professor of Computer Science, Virginia Commonwealth University, USA
Verified email at - Homepage
Cited by
Cited by
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
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
Kappa Updated Ensemble for Drifting Data Stream Mining
A Cano, B Krawczyk
Machine Learning 109 (1), 175-218, 2020
Multi-Target Support Vector Regression Via Correlation Regressor Chains
G Melki, A Cano, V Kecman, S Ventura
Information Sciences 415, 53-69, 2017
A Survey on Urban Traffic Anomalies Detection Algorithms
Y Djenouri, A Belhadi, J Chun-Wei Lin, D Djenouri, A Cano
IEEE Access 7, 12192-12205, 2019
Weighted Data Gravitation Classification for Standard and Imbalanced Data
A Cano, A Zafra, S Ventura
IEEE Transactions on Cybernetics 43 (6), 1672-1687, 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
Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams
B Krawczyk, A Cano
Applied Soft Computing 68, 677-692, 2018
Adapted k Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow
Y Djenouri, A Belhadi, J Chun-Wei Lin, A Cano
IEEE Access 7, 10015-10027, 2019
An Interpretable Classification Rule Mining Algorithm
A Cano, A Zafra, S Ventura
Information Sciences 240, 1-20, 2013
Distributed multi-label feature selection using individual mutual information measures
J Gonzalez-Lopez, S Ventura, A Cano
Knowledge-Based Systems 188, 105052, 2020
Interpretable Multi-view Early Warning System adapted to Underrepresented Student Populations
A Cano, J Leonard
IEEE Transactions on Learning Technologies 12 (2), 198-211, 2019
Speeding up the evaluation phase of GP classification algorithms on GPUs
A Cano, A Zafra, S Ventura
Soft Computing 16 (2), 187-202, 2012
ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams
A Cano, B Krawczyk
Machine Learning 111, 2561-2599, 2022
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
Distributed selection of continuous features in multi-label classification using mutual information
J Gonzalez-Lopez, S Ventura, A Cano
IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2280-2293, 2020
Multi-objective genetic programming for feature extraction and data visualization
A Cano, S Ventura, KJ Cios
Soft Computing 21 (8), 2069–2089, 2017
LAIM discretization for multi-label data
A Cano, JM Luna, EL Gibaja, S Ventura
Information Sciences 330, 370-384, 2016
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework
G Aguiar, B Krawczyk, A Cano
Machine Learning, 2023
Exploiting GPU and cluster parallelism in single scan frequent itemset mining
Y Djenouri, D Djenouri, A Belhadi, A Cano
Information Sciences 496, 363-377, 2019
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