עקוב אחר
Alberto Cano
Alberto Cano
Associate Vice President for Research Computing, Virginia Tech, USA
כתובת אימייל מאומתת בדומיין vt.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
4192016
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
2972013
Kappa Updated Ensemble for Drifting Data Stream Mining‏
A Cano, B Krawczyk‏
Machine Learning 109 (1), 175-218, 2020‏
1812020
Multi-Target Support Vector Regression Via Correlation Regressor Chains‏
G Melki, A Cano, V Kecman, S Ventura‏
Information Sciences 415, 53-69, 2017‏
1562017
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
1502019
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
1502018
Weighted Data Gravitation Classification for Standard and Imbalanced Data‏
A Cano, A Zafra, S Ventura‏
IEEE Transactions on Cybernetics 43 (6), 1672-1687, 2013‏
1282013
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
1242019
Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams‏
B Krawczyk, A Cano‏
Applied Soft Computing 68, 677-692, 2018‏
1242018
Distributed multi-label feature selection using individual mutual information measures‏
J Gonzalez-Lopez, S Ventura, A Cano‏
Knowledge-Based Systems 188, 105052, 2020‏
1142020
An Interpretable Classification Rule Mining Algorithm‏
A Cano, A Zafra, S Ventura‏
Information Sciences 240, 1-20, 2013‏
1082013
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework‏
G Aguiar, B Krawczyk, A Cano‏
Machine Learning 113, 4165-4243, 2024‏
1052024
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
922019
ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams‏
A Cano, B Krawczyk‏
Machine Learning 111, 2561-2599, 2022‏
882022
Speeding up the evaluation phase of GP classification algorithms on GPUs‏
A Cano, A Zafra, S Ventura‏
Soft Computing 16 (2), 187-202, 2012‏
822012
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
712016
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
682020
Multi-objective genetic programming for feature extraction and data visualization‏
A Cano, S Ventura, KJ Cios‏
Soft Computing 21 (8), 2069–2089, 2017‏
682017
LAIM discretization for multi-label data‏
A Cano, JM Luna, EL Gibaja, S Ventura‏
Information Sciences 330, 370-384, 2016‏
652016
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
622018
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מאמרים 1–20