Alberto Cano

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 63

Top Topics

Class Imbalanced

Top Venues

Publications

Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. Mach. Learn. 113 (7) (2024)
Gabriel J. Aguiar, Alberto Cano
Dynamic budget allocation for sparsely labeled drifting data streams. Inf. Sci. 654 (2024)
Gabriel Jonas Aguiar, Alberto Cano
A comprehensive analysis of concept drift locality in data streams. Knowl. Based Syst. 289 (2024)
Youcef Djenouri, Ahmed Nabil Belbachir, Alberto Cano, Asma Belhadi
Spatio-temporal visual learning for home-based monitoring. Inf. Fusion 101 (2024)
Gabriel J. Aguiar, Alberto Cano
A comprehensive analysis of concept drift locality in data streams. CoRR (2023)
Martha Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano
Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. SAC (2023)
Gabriel Aguiar, Alberto Cano
An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams. SAC (2023)
Vinicius Eiji Martins, Alberto Cano, Sylvio Barbon Junior
Meta-learning for dynamic tuning of active learning on stream classification. Pattern Recognit. 138 (2023)
Alberto Cano, Bartosz Krawczyk
ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams. Mach. Learn. 111 (7) (2022)
João Roberto Bertini Junior, Alberto Cano
An Explainable Classifier based on Genetically Evolved Graph Structures. CEC (2022)
Youcef Djenouri, Hiba Belhadi, Karima Akli-Astouati, Alberto Cano, Jerry Chun-Wei Lin
An ontology matching approach for semantic modeling: A case study in smart cities. Comput. Intell. 38 (3) (2022)
Gavin Alberghini, Sylvio Barbon Junior, Alberto Cano
Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams. Neurocomputing 481 (2022)
Abhay Srivastava, Alberto Cano
Analysis and forecasting of rivers pH level using deep learning. Prog. Artif. Intell. 11 (2) (2022)
Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. CoRR (2022)
Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Alberto Cano, Jerry Chun-Wei Lin
Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Martha Roseberry, Bartosz Krawczyk, Youcef Djenouri, Alberto Cano
Self-adjusting k nearest neighbors for continual learning from multi-label drifting data streams. Neurocomputing 442 (2021)
Ricardo Petri Silva, Bruno Bogaz Zarpelão, Alberto Cano, Sylvio Barbon Junior
Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction. Sensors 21 (21) (2021)
Bartosz Krawczyk, Alberto Cano
Locally Linear Support Vector Machines for Imbalanced Data Classification. PAKDD (1) (2021)
Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Djamel Djenouri, Alberto Cano, Jerry Chun-Wei Lin
A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories. IEEE Trans. Intell. Transp. Syst. 22 (7) (2021)
Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano
A general-purpose distributed pattern mining system. Appl. Intell. 50 (9) (2020)
Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano
Trajectory Outlier Detection: Algorithms, Taxonomies, Evaluation, and Open Challenges. ACM Trans. Manag. Inf. Syst. 11 (3) (2020)
Hung T. Nguyen, Alberto Cano, Tam Vu, Thang N. Dinh
Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach. IEEE Trans. Knowl. Data Eng. 32 (7) (2020)
Alberto Cano, Bartosz Krawczyk
Kappa Updated Ensemble for drifting data stream mining. Mach. Learn. 109 (1) (2020)
Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano
A Data-Driven Approach for Twitter Hashtag Recommendation. IEEE Access 8 (2020)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
Distributed multi-label feature selection using individual mutual information measures. Knowl. Based Syst. 188 (2020)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Youcef Djenouri, Djamel Djenouri, Zineb Habbas, Jerry Chun-Wei Lin, Tomasz P. Michalak, Alberto Cano
When the Decomposition Meets the Constraint Satisfaction Problem. IEEE Access 8 (2020)
Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Chongsheng Zhang, Alberto Cano
Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem. IEEE Access 8 (2020)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark. ICCS (3) (2019)
Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano
Speeding Up Classifier Chains in Multi-label Classification. IoTBDS (2019)
Martha Roseberry, Bartosz Krawczyk, Alberto Cano
Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Trans. Knowl. Discov. Data 13 (6) (2019)
Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Djamel Djenouri, Alberto Cano
A Survey on Urban Traffic Anomalies Detection Algorithms. IEEE Access 7 (2019)
Alberto Cano, John D. Leonard
Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations. IEEE Trans. Learn. Technol. 12 (2) (2019)
Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Alberto Cano
Exploiting GPU and cluster parallelism in single scan frequent itemset mining. Inf. Sci. 496 (2019)
Przemyslaw Skryjomski, Bartosz Krawczyk, Alberto Cano
-Nearest Neighbors classifier for large-scale multi-label learning on GPUs. Neurocomputing 354 (2019)
Alberto Cano, Bartosz Krawczyk
Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams. Pattern Recognit. 87 (2019)
Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Alberto Cano
Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow. IEEE Access 7 (2019)
Lukasz Korycki, Alberto Cano, Bartosz Krawczyk
Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData (2019)
Bartosz Krawczyk, Alberto Cano
Adaptive Ensemble Active Learning for Drifting Data Stream Mining. IJCAI (2019)
Gabriella Melki, Alberto Cano, Sebastián Ventura
MIRSVM: Multi-instance support vector machine with bag representatives. Pattern Recognit. 79 (2018)
Alberto Cano
A survey on graphic processing unit computing for large-scale data mining. WIREs Data Mining Knowl. Discov. 8 (1) (2018)
Gabriella Melki, Vojislav Kecman, Sebastián Ventura, Alberto Cano
OLLAWV: OnLine Learning Algorithm using Worst-Violators. Appl. Soft Comput. 66 (2018)
Martha Roseberry, Alberto Cano
Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams. LIDTA@ECML/PKDD (2018)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
Distributed nearest neighbor classification for large-scale multi-label data on spark. Future Gener. Comput. Syst. 87 (2018)
Alberto Cano, Bartosz Krawczyk
Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s. CEC (2018)
Bartosz Krawczyk, Alberto Cano, Michal Wozniak
Selecting local ensembles for multi-class imbalanced data classification. IJCNN (2018)
Oscar Gabriel Reyes Pupo, Alberto Cano, Habib M. Fardoun, Sebastián Ventura
A locally weighted learning method based on a data gravitation model for multi-target regression. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Bartosz Krawczyk, Alberto Cano
Online ensemble learning with abstaining classifiers for drifting and noisy data streams. Appl. Soft Comput. 68 (2018)
Hung T. Nguyen, Alberto Cano, Tam N. Vu, Thang N. Dinh
Blocking Self-avoiding Walks Stops Cyber-epidemics: A Scalable GPU-based Approach. CoRR (2017)
Amy L. Olex, Alberto Cano, Bridget T. McInnes
Parsing MetaMap Files in Hadoop. AMIA (2017)
Alberto Cano, Carlos García-Martínez, Sebastián Ventura
Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm. Inf. Sci. 415 (2017)
Alberto Cano
An ensemble approach to multi-view multi-instance learning. Knowl. Based Syst. 136 (2017)
Bartosz Krawczyk, Bridget T. McInnes, Alberto Cano
Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization. HAIS (2017)
Gabriella Melki, Alberto Cano, Vojislav Kecman, Sebastián Ventura
Multi-target support vector regression via correlation regressor chains. Inf. Sci. 415 (2017)
Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
Multi-objective genetic programming for feature extraction and data visualization. Soft Comput. 21 (8) (2017)
Jorge Gonzalez-Lopez, Alberto Cano, Sebastián Ventura
Large-Scale Multi-label Ensemble Learning on Spark. TrustCom/BigDataSE/ICESS (2017)
Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura
Early dropout prediction using data mining: a case study with high school students. Expert Syst. J. Knowl. Eng. 33 (1) (2016)
Alberto Cano, Dat T. Nguyen, Sebastián Ventura, Krzysztof J. Cios
ur-CAIM: improved CAIM discretization for unbalanced and balanced data. Soft Comput. 20 (1) (2016)
José María Luna, Alberto Cano, Virgilijus Sakalauskas, Sebastián Ventura
Discovering useful patterns from multiple instance data. Inf. Sci. 357 (2016)
José María Luna, Alberto Cano, Mykola Pechenizkiy, Sebastián Ventura
Speeding-Up Association Rule Mining With Inverted Index Compression. IEEE Trans. Cybern. 46 (12) (2016)
Francisco Padillo, José María Luna, Alberto Cano, Sebastián Ventura
A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets. HAIS (2016)
Alberto Cano, Carlos García-Martínez
100 Million dimensions large-scale global optimization using distributed GPU computing. CEC (2016)
Alberto Cano, José María Luna, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
LAIM discretization for multi-label data. Inf. Sci. 330 (2016)
Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura
A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. 16 (2015)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Speeding up multiple instance learning classification rules on GPUs. Knowl. Inf. Syst. 44 (1) (2015)
David Pinheiro, Alberto Cano, Sebastián Ventura
Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE. EPIA (2015)
Juan A. Pedraza, Carlos García-Martínez, Alberto Cano, Sebastián Ventura
Classification Rule Mining with Iterated Greedy. HAIS (2014)
Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
Scalable CAIM discretization on multiple GPUs using concurrent kernels. J. Supercomput. 69 (1) (2014)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs. Neurocomputing 126 (2014)
Alberto Cano, Sebastián Ventura
GPU-parallel subtree interpreter for genetic programming. GECCO (2014)
Alberto Cano, Juan Luis Olmo, Sebastián Ventura
Parallel multi-objective Ant Programming for classification using GPUs. J. Parallel Distributed Comput. 73 (6) (2013)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Weighted Data Gravitation Classification for Standard and Imbalanced Data. IEEE Trans. Cybern. 43 (6) (2013)
Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. EuroGP (2013)
Alberto Cano, Amelia Zafra, Sebastián Ventura
An interpretable classification rule mining algorithm. Inf. Sci. 240 (2013)
Alberto Cano, José María Luna, Sebastián Ventura
High performance evaluation of evolutionary-mined association rules on GPUs. J. Supercomput. 66 (3) (2013)
Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl. Intell. 38 (3) (2013)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Comput. 16 (2) (2012)
Juan Luis Olmo, Alberto Cano, José Raúl Romero, Sebastián Ventura
Binary and multiclass imbalanced classification using multi-objective ant programming. ISDA (2012)
Alberto Cano, Amelia Zafra, Sebastián Ventura
An EP algorithm for learning highly interpretable classifiers. ISDA (2011)
Alberto Cano, Amelia Zafra, Sebastián Ventura
A Parallel Genetic Programming Algorithm for Classification. HAIS (1) (2011)
Alberto Cano, José María Luna, Juan Luis Olmo, Sebastián Ventura
JCLEC Meets WEKA! HAIS (1) (2011)
Alberto Cano, Amelia Zafra, Sebastián Ventura
Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS (2) (2010)