Alberto Cano

发表

XPS : EXPL : Scalable distributed GPU computing for extremely high-dimensional optimization

Alberto Cano, 2016 .

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

B. Krawczyk, Alberto Cano, 2022, Machine Learning.

An Explainable Classifier based on Genetically Evolved Graph Structures

João Roberto Bertini Junior, Alberto Cano, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC).

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

Alberto Cano, Youcef Djenouri, Hiba Belhadi, 2021, Comput. Intell..

Multi-objective genetic programming for feature extraction and data visualization

Sebastián Ventura, K. Cios, Alberto Cano, 2015, Soft Computing.

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

Dat T. Nguyen, K. Cios, Alberto Cano, 2014, Soft Computing.

Scalable CAIM discretization on multiple GPUs using concurrent kernels

Sebastián Ventura, K. Cios, Alberto Cano, 2014, The Journal of Supercomputing.

High performance evaluation of evolutionary-mined association rules on GPUs

J. M. Luna, Sebastián Ventura, Alberto Cano, 2013, The Journal of Supercomputing.

Distributed multi-label feature selection using individual mutual information measures

Sebastián Ventura, Alberto Cano, Jorge Gonzalez-Lopez, 2020, Knowl. Based Syst..

Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams

Bartosz Krawczyk, Lukasz Korycki, Alberto Cano, 2019, 2019 IEEE International Conference on Big Data (Big Data).

MIRSVM: Multi-instance support vector machine with bag representatives

Sebastián Ventura, Gabriella Melki, Alberto Cano, 2018, Pattern Recognit..

OLLAWV: OnLine Learning Algorithm using Worst-Violators

Vojislav Kecman, Sebastián Ventura, Gabriella Melki, 2018, Appl. Soft Comput..

Multi-objective genetic programming for feature extraction and data visualization

Krzysztof J. Cios, Sebastián Ventura, Alberto Cano, 2015, Soft Computing.

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem

Jerry Chun-Wei Lin, Chongsheng Zhang, Alberto Cano, 2020, IEEE Access.

A Survey on Urban Traffic Anomalies Detection Algorithms

Djamel Djenouri, Jerry Chun-Wei Lin, Alberto Cano, 2019, IEEE Access.

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

Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura, 2013, Applied Intelligence.

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

Habib Fardoun, Sebastián Ventura, Alberto Cano, 2018, Int. J. Comput. Intell. Syst..

Speeding up k-Nearest Neighbors classifier for large-scale multi-label learning on GPUs

Bartosz Krawczyk, Alberto Cano, Przemyslaw Skryjomski, 2019, Neurocomputing.

Binary and multiclass imbalanced classification using multi-objective ant programming

Sebastián Ventura, Alberto Cano, José Raúl Romero, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

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

Alberto Cano, Hung T. Nguyen, Thang N. Dinh, 2017, IEEE Transactions on Knowledge and Data Engineering.

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

B. Krawczyk, Alberto Cano, G. Aguiar, 2022, ArXiv.

Kappa Updated Ensemble for drifting data stream mining

Alberto Cano, Bartosz Krawczyk, B. Krawczyk, 2019, Machine Learning.

Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization

Bartosz Krawczyk, Bridget T. McInnes, Alberto Cano, 2017, HAIS.

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

Sylvio Barbon Junior, Alberto Cano, Gavin Alberghini, 2022, Neurocomputing.

Locally Linear Support Vector Machines for Imbalanced Data Classification

Bartosz Krawczyk, Alberto Cano, B. Krawczyk, 2021, PAKDD.

Adaptive Ensemble Active Learning for Drifting Data Stream Mining

Bartosz Krawczyk, Alberto Cano, B. Krawczyk, 2019, IJCAI.

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

Alberto Cano, Alberto Cano, 2018, WIREs Data Mining Knowl. Discov..

Multi-target support vector regression via correlation regressor chains

Vojislav Kecman, Sebastián Ventura, Gabriella Melki, 2017, Inf. Sci..

PSIONplusm Server for Accurate Multi-Label Prediction of Ion Channels and Their Types

Lukasz Kurgan, Alberto Cano, Hong Wei, 2020, Biomolecules.

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

Djamel Djenouri, Gautam Srivastava, Jerry Chun-Wei Lin, 2020, IEEE Transactions on Intelligent Transportation Systems.

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

Jerry Chun-Wei Lin, Alberto Cano, Youcef Djenouri, 2019, IEEE Access.

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

Jerry Chun-Wei Lin, Gautam Srivastava, Alberto Cano, 2022, IEEE Transactions on Intelligent Transportation Systems.

Trajectory Outlier Detection

Alberto Cano, Asma Belhadi, Chun-Wei Lin, 2020, ACM Trans. Manag. Inf. Syst..

Speeding up multiple instance learning classification rules on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2015, Knowledge and Information Systems.

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

Habib Fardoun, Carlos Márquez-Vera, Cristóbal Romero, 2016, Expert Syst. J. Knowl. Eng..

Speeding up the evaluation phase of GP classification algorithms on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2012, Soft Comput..

Speeding up the evaluation phase of GP classification algorithms on GPUs

Sebastián Ventura, Alberto Cano, A. Zafra, 2011, Soft Computing.

A Data-Driven Approach for Twitter Hashtag Recommendation

Jerry Chun-Wei Lin, Alberto Cano, Asma Belhadi, 2020, IEEE Access.

Discovering useful patterns from multiple instance data

Sebastián Ventura, Alberto Cano, José María Luna, 2016, Inf. Sci..

Speeding-Up Association Rule Mining With Inverted Index Compression

Mykola Pechenizkiy, Sebastián Ventura, Alberto Cano, 2016, IEEE Transactions on Cybernetics.

Genetic Programming for Mining Association Rules in Relational Database Environments

Sebastián Ventura, Alberto Cano, José María Luna, 2015, Handbook of Genetic Programming Applications.

A general-purpose distributed pattern mining system

Youcef Djenouri, Asma Belhadi, Chun-Wei Lin, 2020, Applied Intelligence.

Weighted Data Gravitation Classification for Standard and Imbalanced Data

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2013, IEEE Transactions on Cybernetics.

Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations

J. D. Leonard, Alberto Cano, John D. Leonard, 2019, IEEE Transactions on Learning Technologies.

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

Sylvio Barbon Junior, Vinicius Eiji Martins, Alberto Cano, 2023, Pattern Recognition.

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

Alberto Cano, Martha Roseberry, Alberto Cano, 2018, LIDTA@ECML/PKDD.

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

Bartosz Krawczyk, Alberto Cano, Youcef Djenouri, 2021, Neurocomputing.

Parallel multi-objective Ant Programming for classification using GPUs

Sebastián Ventura, Alberto Cano, Juan Luis Olmo, 2013, J. Parallel Distributed Comput..

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

Bartosz Krawczyk, Alberto Cano, Martha Roseberry, 2019, ACM Trans. Knowl. Discov. Data.

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

A. Bifet, S. Džeroski, Alberto Cano, 2023 .

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

Alberto Cano, G. Aguiar, 2023, SAC.

Introductory Chapter: Data Streams and Online Learning in Social Media

Alberto Cano, Alberto Cano, 2020, Social Media and Machine Learning.

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

Bartosz Krawczyk, Alberto Cano, B. Krawczyk, 2019, Pattern Recognit..

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

Bartosz Krawczyk, Alberto Cano, B. Krawczyk, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

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

Bartosz Krawczyk, Alberto Cano, B. Krawczyk, 2017, Appl. Soft Comput..

Classification Rule Mining with Iterated Greedy

Sebastián Ventura, Alberto Cano, Carlos García-Martínez, 2014, HAIS.

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

Sylvio Barbon Junior, Ricardo Petri Silva, Alberto Cano, 2021, Sensors.

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

B. Krawczyk, Alberto Cano, G. Aguiar, 2022, Machine Learning.

Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information

Alberto Cano, Sebastian Ventura, Jorge Gonzalez-Lopez, 2020, IEEE Transactions on Neural Networks and Learning Systems.

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

Sebastián Ventura, Alberto Cano, Jorge Gonzalez-Lopez, 2018, Future Gener. Comput. Syst..

Large-Scale Multi-label Ensemble Learning on Spark

Sebastián Ventura, Alberto Cano, Jorge Gonzalez-Lopez, 2017, 2017 IEEE Trustcom/BigDataSE/ICESS.

LAIM discretization for multi-label data

Sebastián Ventura, Alberto Cano, Eva Lucrecia Gibaja Galindo, 2016, Inf. Sci..

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

Sebastián Ventura, Alberto Cano, Eva Lucrecia Gibaja Galindo, 2013, EuroGP.

Parallel evaluation of Pittsburgh rule-based classifiers on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2014, Neurocomputing.

Spatio-temporal visual learning for home-based monitoring

Alberto Cano, Y. Djenouri, Asma Belhadi, 2023, Information Fusion.

An ensemble approach to multi-view multi-instance learning

Alberto Cano, Alberto Cano, 2017, Knowl. Based Syst..

When the Decomposition Meets the Constraint Satisfaction Problem

Djamel Djenouri, Tomasz P. Michalak, Jerry Chun-Wei Lin, 2020, IEEE Access.

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

Sebastián Ventura, Alberto Cano, José María Luna, 2016, HAIS.

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

Sebastián Ventura, Alberto Cano, David Pinheiro, 2015, EPIA.

GPU-parallel subtree interpreter for genetic programming

Sebastián Ventura, Alberto Cano, Sebastián Ventura, 2014, GECCO.

Solving Classification Problems Using Genetic Programming Algorithms on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2010, HAIS.

An interpretable classification rule mining algorithm

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2013, Inf. Sci..

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

B. Krawczyk, Alberto Cano, G. Aguiar, 2022, Machine Learning.