Alberto Cano

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Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of CordobaVerified email at uco.es
Bartosz KrawczykAssistant Professor of Computer Science, Virginia Commonwealth University, USAVerified email at vcu.edu
Amelia ZafraAssociate Professor of Computer Science, University of CordobaVerified email at uco.es
José María Luna (ORCID: 0000-0003-...Associate Professor of Computing and Artificial Intelligence, University of CordobaVerified email at uco.es
Jorge Gonzalez-LopezPh.D. StudentVerified email at vcu.edu
Cristobal RomeroFull Professor in University of Cordoba and member of KDIS Research GroupVerified email at uco.es
Krzysztof J Cios, Fellow: IEEE, AIMBEProfessor of Computer Science, VCUVerified email at vcu.edu
Martha RoseberryVirginia Commonwealth UniversityVerified email at vcu.edu
Carlos García-MartínezComputing and Numerical Analysis, University of CórdobaVerified email at uco.es
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Thang N. DinhAssociate Professor of Computer Science, Virginia Commonwealth UniversityVerified email at vcu.edu
Gabriel Jonas AguiarPhD Candidate at Virginia Commonwealth UniversityVerified email at vcu.edu
Michal WozniakWroclaw University of Science and Technology (Politechnika Wrocławska)Verified email at pwr.edu.pl
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr

Alberto Cano

Associate Professor of Computer Science, Virginia Commonwealth University, USA

Verified email at vcu.edu - Homepage

Machine Learning Data Stream Mining Concept Drift Multi-label learning GPU


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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	318	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	251	2013
Multi-Target Support Vector Regression Via Correlation Regressor Chains G Melki, A Cano, V Kecman, S Ventura Information Sciences 415, 53-69, 2017	123	2017
Weighted Data Gravitation Classification for Standard and Imbalanced Data A Cano, A Zafra, S Ventura IEEE Transactions on Cybernetics 43 (6), 1672-1687, 2013	121	2013
Kappa Updated Ensemble for Drifting Data Stream Mining A Cano, B Krawczyk Machine Learning 109 (1), 175-218, 2020	105	2020
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	99	2019
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	97	2018
Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams B Krawczyk, A Cano Applied Soft Computing 68, 677-692, 2018	91	2018
An Interpretable Classification Rule Mining Algorithm A Cano, A Zafra, S Ventura Information Sciences 240, 1-20, 2013	90	2013
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	88	2019
Distributed multi-label feature selection using individual mutual information measures J Gonzalez-Lopez, S Ventura, A Cano Knowledge-Based Systems 188, 105052, 2020	71	2020
Speeding up the evaluation phase of GP classification algorithms on GPUs A Cano, A Zafra, S Ventura Soft Computing 16 (2), 187-202, 2012	65	2012
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	62	2019
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	60	2016
High Performance Evaluation of Evolutionary-Mined Association Rules on GPUs A Cano, JM Luna, S Ventura Journal of Supercomputing 66 (3), 1438-1461, 2013	56	2013
Multi-objective genetic programming for feature extraction and data visualization A Cano, S Ventura, KJ Cios Soft Computing 21 (8), 2069–2089, 2017	54	2017
LAIM discretization for multi-label data A Cano, JM Luna, EL Gibaja, S Ventura Information Sciences 330, 370-384, 2016	54	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	48	2020
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	47	2019
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	46	2016

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