Alberto Cano

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Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46)Verified email at uco.es
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USAVerified email at rit.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
Cristóbal 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
Gabriel Jonas AguiarPh.D. Candidate at Virginia Commonwealth UniversityVerified email at vcu.edu
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
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	349	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	266	2013
Multi-Target Support Vector Regression Via Correlation Regressor Chains G Melki, A Cano, V Kecman, S Ventura Information Sciences 415, 53-69, 2017	136	2017
Kappa Updated Ensemble for Drifting Data Stream Mining A Cano, B Krawczyk Machine Learning 109 (1), 175-218, 2020	131	2020
Weighted Data Gravitation Classification for Standard and Imbalanced Data A Cano, A Zafra, S Ventura IEEE Transactions on Cybernetics 43 (6), 1672-1687, 2013	120	2013
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	117	2019
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	103	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	103	2018
Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams B Krawczyk, A Cano Applied Soft Computing 68, 677-692, 2018	102	2018
An Interpretable Classification Rule Mining Algorithm A Cano, A Zafra, S Ventura Information Sciences 240, 1-20, 2013	101	2013
Distributed multi-label feature selection using individual mutual information measures J Gonzalez-Lopez, S Ventura, A Cano Knowledge-Based Systems 188, 105052, 2020	90	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	70	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	69	2012
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	64	2016
Multi-objective genetic programming for feature extraction and data visualization A Cano, S Ventura, KJ Cios Soft Computing 21 (8), 2069–2089, 2017	57	2017
LAIM discretization for multi-label data A Cano, JM Luna, EL Gibaja, S Ventura Information Sciences 330, 370-384, 2016	57	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	57	2013
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	56	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	55	2019
Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark J Gonzalez-Lopez, A Cano, S Ventura Future Generation Computing Systems 87, 66-82, 2018	50	2018

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