Alberto Cano

According to our database, Alberto Cano authored at least 87 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improved KD-tree based imbalanced big data classification and oversampling for MapReduce platforms.

William C. Sleeman, Martha I. Roseberry, Preetam Ghosh, Alberto Cano, Bartosz Krawczyk

Appl. Intell., December, 2024

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework.

Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano

Mach. Learn., July, 2024

Dynamic budget allocation for sparsely labeled drifting data streams.

Gabriel Jonas Aguiar, Alberto Cano

Inf. Sci., January, 2024

Spatio-temporal visual learning for home-based monitoring.

Youcef Djenouri, Ahmed Nabil Belbachir, Alberto Cano, Asma Belhadi

Inf. Fusion, January, 2024

Hoeffding adaptive trees for multi-label classification on data streams.

Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura

Knowl. Based Syst., 2024

A comprehensive analysis of concept drift locality in data streams.

Gabriel Jonas Aguiar, Alberto Cano

Knowl. Based Syst., 2024

A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research.

Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu

CoRR, 2024

Vision-based Spatiotemporal Learning for Human Activity Recognition.

Youcef Djenouri, Ahmed Nabil Belbachir, Gautam Srivastava, Alberto Cano

Proceedings of the International Joint Conference on Neural Networks, 2024

Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence.

Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Meta-learning for dynamic tuning of active learning on stream classification.

Vinicius Eiji Martins, Alberto Cano, Sylvio Barbon Junior

Pattern Recognit., June, 2023

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams.

Martha I. Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams.

Gabriel Jonas Aguiar, Alberto Cano

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning.

Gabriel Jonas Aguiar, Alberto Cano

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics.

Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Alberto Cano, Jerry Chun-Wei Lin

IEEE Trans. Intell. Transp. Syst., 2022

Analysis and forecasting of rivers pH level using deep learning.

Abhay Srivastava, Alberto Cano

Prog. Artif. Intell., 2022

ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams.

Alberto Cano, Bartosz Krawczyk

Mach. Learn., 2022

Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams.

Gavin Alberghini, Sylvio Barbon Junior, Alberto Cano

Neurocomputing, 2022

An ontology matching approach for semantic modeling: A case study in smart cities.

Youcef Djenouri, Hiba Belhadi, Karima Akli-Astouati, Alberto Cano, Jerry Chun-Wei Lin

Comput. Intell., 2022

An Explainable Classifier based on Genetically Evolved Graph Structures.

João Roberto Bertini Junior, Alberto Cano

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories.

Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Djamel Djenouri, Alberto Cano, Jerry Chun-Wei Lin

IEEE Trans. Intell. Transp. Syst., 2021

Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction.

Ricardo Petri Silva, Bruno Bogaz Zarpelão, Alberto Cano, Sylvio Barbon Junior

Sensors, 2021

Self-adjusting k nearest neighbors for continual learning from multi-label drifting data streams.

Martha I. Roseberry, Bartosz Krawczyk, Youcef Djenouri, Alberto Cano

Neurocomputing, 2021

Locally Linear Support Vector Machines for Imbalanced Data Classification.

Bartosz Krawczyk, Alberto Cano

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information.

Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano

IEEE Trans. Neural Networks Learn. Syst., 2020

Trajectory Outlier Detection: Algorithms, Taxonomies, Evaluation, and Open Challenges.

Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano

ACM Trans. Manag. Inf. Syst., 2020

Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach.

Hung T. Nguyen, Alberto Cano, Tam Vu, Thang N. Dinh

IEEE Trans. Knowl. Data Eng., 2020

Kappa Updated Ensemble for drifting data stream mining.

Alberto Cano, Bartosz Krawczyk

Mach. Learn., 2020

Distributed multi-label feature selection using individual mutual information measures.

Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano

Knowl. Based Syst., 2020

A general-purpose distributed pattern mining system.

Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano

Appl. Intell., 2020

When the Decomposition Meets the Constraint Satisfaction Problem.

Youcef Djenouri, Djamel Djenouri, Zineb Habbas, Jerry Chun-Wei Lin, Tomasz P. Michalak, Alberto Cano

IEEE Access, 2020

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem.

Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Chongsheng Zhang, Alberto Cano

IEEE Access, 2020

A Data-Driven Approach for Twitter Hashtag Recommendation.

Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano

IEEE Access, 2020

2019

Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations.

Alberto Cano, John D. Leonard

IEEE Trans. Learn. Technol., 2019

Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams.

Martha I. Roseberry, Bartosz Krawczyk, Alberto Cano

ACM Trans. Knowl. Discov. Data, 2019

Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams.

Alberto Cano, Bartosz Krawczyk

Pattern Recognit., 2019

Exploiting GPU and cluster parallelism in single scan frequent itemset mining.

Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Alberto Cano

Inf. Sci., 2019

Speeding up <i>k</i>-Nearest Neighbors classifier for large-scale multi-label learning on GPUs.

Przemyslaw Skryjomski, Bartosz Krawczyk, Alberto Cano

Neurocomputing, 2019

A Survey on Urban Traffic Anomalies Detection Algorithms.

Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Djamel Djenouri, Alberto Cano

IEEE Access, 2019

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow.

Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Alberto Cano

IEEE Access, 2019

Speeding Up Classifier Chains in Multi-label Classification.

Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano

Proceedings of the 4th International Conference on Internet of Things, 2019

Adaptive Ensemble Active Learning for Drifting Data Stream Mining.

Bartosz Krawczyk, Alberto Cano

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark.

Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano

Proceedings of the Computational Science - ICCS 2019, 2019

Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams.

Lukasz Korycki, Alberto Cano, Bartosz Krawczyk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A survey on graphic processing unit computing for large-scale data mining.

Alberto Cano

WIREs Data Mining Knowl. Discov., 2018

MIRSVM: Multi-instance support vector machine with bag representatives.

Gabriella Melki, Alberto Cano, Sebastián Ventura

Pattern Recognit., 2018

Parallelization strategies for markerless human motion capture.

Alberto Cano Rojas, Enrique Yeguas-Bolivar, Rafael Muñoz-Salinas, Rafael Medina Carnicer, Sebastián Ventura

J. Real Time Image Process., 2018

A locally weighted learning method based on a data gravitation model for multi-target regression.

Oscar Gabriel Reyes Pupo, Alberto Cano, Habib M. Fardoun, Sebastián Ventura

Int. J. Comput. Intell. Syst., 2018

Distributed nearest neighbor classification for large-scale multi-label data on spark.

Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano

Future Gener. Comput. Syst., 2018

OLLAWV: OnLine Learning Algorithm using Worst-Violators.

Gabriella Melki, Vojislav Kecman, Sebastián Ventura, Alberto Cano

Appl. Soft Comput., 2018

Online ensemble learning with abstaining classifiers for drifting and noisy data streams.

Bartosz Krawczyk, Alberto Cano

Appl. Soft Comput., 2018

Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams.

Martha I. Roseberry, Alberto Cano

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Selecting local ensembles for multi-class imbalanced data classification.

Bartosz Krawczyk, Alberto Cano, Michal Wozniak

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s.

Alberto Cano, Bartosz Krawczyk

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Multi-objective genetic programming for feature extraction and data visualization.

Alberto Cano, Sebastián Ventura, Krzysztof J. Cios

Soft Comput., 2017

An ensemble approach to multi-view multi-instance learning.

Alberto Cano

Knowl. Based Syst., 2017

Multi-target support vector regression via correlation regressor chains.

Gabriella Melki, Alberto Cano, Vojislav Kecman, Sebastián Ventura

Inf. Sci., 2017

Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm.

Alberto Cano, Carlos García-Martínez, Sebastián Ventura

Inf. Sci., 2017

Large-Scale Multi-label Ensemble Learning on Spark.

Jorge Gonzalez-Lopez, Alberto Cano, Sebastián Ventura

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization.

Bartosz Krawczyk, Bridget T. McInnes, Alberto Cano

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Parsing MetaMap Files in Hadoop.

Amy L. Olex, Alberto Cano, Bridget T. McInnes

Proceedings of the AMIA 2017, 2017

2016

Speeding-Up Association Rule Mining With Inverted Index Compression.

José María Luna, Alberto Cano, Mykola Pechenizkiy, Sebastián Ventura

IEEE Trans. Cybern., 2016

ur-CAIM: improved CAIM discretization for unbalanced and balanced data.

Alberto Cano, Dat T. Nguyen, Sebastián Ventura, Krzysztof J. Cios

Soft Comput., 2016

Discovering useful patterns from multiple instance data.

José María Luna, Alberto Cano, Virgilijus Sakalauskas, Sebastián Ventura

Inf. Sci., 2016

LAIM discretization for multi-label data.

Alberto Cano, José María Luna, Eva Lucrecia Gibaja Galindo, Sebastián Ventura

Inf. Sci., 2016

Early dropout prediction using data mining: a case study with high school students.

Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura

Expert Syst. J. Knowl. Eng., 2016

A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets.

Francisco Padillo, José María Luna, Alberto Cano, Sebastián Ventura

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

100 Million dimensions large-scale global optimization using distributed GPU computing.

Alberto Cano, Carlos García-Martínez

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Genetic Programming for Mining Association Rules in Relational Database Environments.

José María Luna, Alberto Cano, Sebastián Ventura

Proceedings of the Handbook of Genetic Programming Applications, 2015

Speeding up multiple instance learning classification rules on GPUs.

Alberto Cano, Amelia Zafra, Sebastián Ventura

Knowl. Inf. Syst., 2015

A classification module for genetic programming algorithms in JCLEC.

Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura

J. Mach. Learn. Res., 2015

Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE.

David Pinheiro, Alberto Cano, Sebastián Ventura

Proceedings of the Progress in Artificial Intelligence, 2015

2014

Scalable CAIM discretization on multiple GPUs using concurrent kernels.

Alberto Cano, Sebastián Ventura, Krzysztof J. Cios

J. Supercomput., 2014

Parallel evaluation of Pittsburgh rule-based classifiers on GPUs.

Alberto Cano, Amelia Zafra, Sebastián Ventura

Neurocomputing, 2014

Classification Rule Mining with Iterated Greedy.

Juan A. Pedraza, Carlos García-Martínez, Alberto Cano, Sebastián Ventura

Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

GPU-parallel subtree interpreter for genetic programming.

Alberto Cano, Sebastián Ventura

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

High performance evaluation of evolutionary-mined association rules on GPUs.

Alberto Cano, José María Luna, Sebastián Ventura

J. Supercomput., 2013

Weighted Data Gravitation Classification for Standard and Imbalanced Data.

Alberto Cano, Amelia Zafra, Sebastián Ventura

IEEE Trans. Cybern., 2013

Parallel multi-objective Ant Programming for classification using GPUs.

Alberto Cano, Juan Luis Olmo, Sebastián Ventura

J. Parallel Distributed Comput., 2013

An interpretable classification rule mining algorithm.

Alberto Cano, Amelia Zafra, Sebastián Ventura

Inf. Sci., 2013

Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data.

Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura

Appl. Intell., 2013

A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification.

Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura

Proceedings of the Genetic Programming - 16th European Conference, 2013

2012

Speeding up the evaluation phase of GP classification algorithms on GPUs.

Alberto Cano, Amelia Zafra, Sebastián Ventura

Soft Comput., 2012

Binary and multiclass imbalanced classification using multi-objective ant programming.

Juan Luis Olmo, Alberto Cano, José Raúl Romero, Sebastián Ventura

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

2011

An EP algorithm for learning highly interpretable classifiers.

Alberto Cano, Amelia Zafra, Sebastián Ventura

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A Parallel Genetic Programming Algorithm for Classification.

Alberto Cano, Amelia Zafra, Sebastián Ventura

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

JCLEC Meets WEKA!

Alberto Cano, José María Luna, Juan Luis Olmo, Sebastián Ventura

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010

Solving Classification Problems Using Genetic Programming Algorithms on GPUs.

Alberto Cano, Amelia Zafra, Sebastián Ventura

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010