Alberto Cano - RankMe

99 papers A* 1A 2B 9C 3Misc 7Journal 68Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research. Artif. Intell. Rev. Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu
2026	J	`jnl`	Anticipating to Change: A Proactive Approach for Concept Drift Adaptation in Data Streams. Mach. Learn. Juan Valentín Guerrero Cano, Gabriel Jonas Aguiar, Alberto Cano
2026	J	`jnl`	Class Informed Concept Drift Detection in Multi-Class Data Streams. Int. J. Data Sci. Anal. Gabriel Jonas Aguiar, Alberto Cano
2026	J	`jnl`	Towards accessible AI for addressing students' academic dropout: an auto machine learning and explainable artificial intelligence approach. Univers. Access Inf. Soc. Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2026	J	`jnl`	iHOMER+: Incremental multi-view output-specialization for streaming multi-label learning. Inf. Fusion Afonso Lourenço, Lara Neves, Alberto Cano, Goreti Marreiros
2025	A	`conf`	Online Hierarchical Partitioning of the Output Space in Extreme Multi-Label Data Streams. ECAI Lara Neves, Afonso Lourenço, Alberto Cano, Goreti Marreiros
2025	J	`jnl`	Online hierarchical partitioning of the output space in extreme multi-label data stream. CoRR Lara Neves, Afonso Lourenço, Alberto Cano, Goreti Marreiros
2025	B	`conf`	Shared Knowledge Base for Multi Deep Learning in Defect Detection. IJCNN Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Ahmed Nabil Belbachir, Alberto Cano
2025	J	`jnl`	Simultaneous fault prediction in evolving industrial environments with ensembles of Hoeffding adaptive trees. Appl. Intell. Aurora Esteban, Alberto Cano, Sebastián Ventura, Amelia Zafra
2024	J	`jnl`	A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research. CoRR Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu
2024	J	`jnl`	A comprehensive analysis of concept drift locality in data streams. Knowl. Based Syst. Gabriel Jonas Aguiar, Alberto Cano
2024	J	`jnl`	A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. Mach. Learn. Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano
2024	J	`jnl`	Dynamic budget allocation for sparsely labeled drifting data streams. Inf. Sci. Gabriel Jonas Aguiar, Alberto Cano
2024	B	`conf`	Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. EDM Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2024	J	`jnl`	Hoeffding adaptive trees for multi-label classification on data streams. CoRR Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura
2024	J	`jnl`	Hoeffding adaptive trees for multi-label classification on data streams. Knowl. Based Syst. Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura
2024	J	`jnl`	Improved KD-tree based imbalanced big data classification and oversampling for MapReduce platforms. Appl. Intell. William C. Sleeman, Martha I. Roseberry, Preetam Ghosh, Alberto Cano, Bartosz Krawczyk
2024	J	`jnl`	Spatio-temporal visual learning for home-based monitoring. Inf. Fusion Youcef Djenouri, Ahmed Nabil Belbachir, Alberto Cano, Asma Belhadi
2024	B	`conf`	Vision-based Spatiotemporal Learning for Human Activity Recognition. IJCNN Youcef Djenouri, Ahmed Nabil Belbachir, Gautam Srivastava, Alberto Cano
2023	J	`jnl`	A comprehensive analysis of concept drift locality in data streams. CoRR Gabriel Jonas Aguiar, Alberto Cano
2023	Misc	`conf`	Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. SAC Martha I. Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano
2023	Misc	`conf`	An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams. SAC Gabriel Jonas Aguiar, Alberto Cano
2023	B	`conf`	Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning. IEEE Big Data Gabriel Jonas Aguiar, Alberto Cano
2023	J	`jnl`	Meta-learning for dynamic tuning of active learning on stream classification. Pattern Recognit. Vinicius Eiji Martins, Alberto Cano, Sylvio Barbon Junior
2022	J	`jnl`	A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. CoRR Gabriel Jonas Aguiar, Bartosz Krawczyk, Alberto Cano
2022	J	`jnl`	Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams. Neurocomputing Gavin Alberghini, Sylvio Barbon Junior, Alberto Cano
2022	B	`conf`	An Explainable Classifier based on Genetically Evolved Graph Structures. CEC João Roberto Bertini Junior, Alberto Cano
2022	J	`jnl`	An ontology matching approach for semantic modeling: A case study in smart cities. Comput. Intell. Youcef Djenouri, Hiba Belhadi, Karima Akli-Astouati, Alberto Cano, Jerry Chun-Wei Lin
2022	J	`jnl`	Analysis and forecasting of rivers pH level using deep learning. Prog. Artif. Intell. Abhay Srivastava, Alberto Cano
2022	J	`jnl`	Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics. IEEE Trans. Intell. Transp. Syst. Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Alberto Cano, Jerry Chun-Wei Lin
2022	J	`jnl`	ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams. Mach. Learn. Alberto Cano, Bartosz Krawczyk
2021	J	`jnl`	A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories. IEEE Trans. Intell. Transp. Syst. Asma Belhadi, Youcef Djenouri, Gautam Srivastava, Djamel Djenouri, Alberto Cano, Jerry Chun-Wei Lin
2021	—	`conf`	Locally Linear Support Vector Machines for Imbalanced Data Classification. PAKDD (1) Bartosz Krawczyk, Alberto Cano
2021	J	`jnl`	Self-adjusting k nearest neighbors for continual learning from multi-label drifting data streams. Neurocomputing Martha I. Roseberry, Bartosz Krawczyk, Youcef Djenouri, Alberto Cano
2021	J	`jnl`	Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction. Sensors Ricardo Petri Silva, Bruno Bogaz Zarpelão, Alberto Cano, Sylvio Barbon Junior
2020	J	`jnl`	A Data-Driven Approach for Twitter Hashtag Recommendation. IEEE Access Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano
2020	J	`jnl`	A general-purpose distributed pattern mining system. Appl. Intell. Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano
2020	J	`jnl`	Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach. IEEE Trans. Knowl. Data Eng. Hung T. Nguyen, Alberto Cano, Tam Vu, Thang N. Dinh
2020	J	`jnl`	Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information. IEEE Trans. Neural Networks Learn. Syst. Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2020	J	`jnl`	Distributed multi-label feature selection using individual mutual information measures. Knowl. Based Syst. Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2020	J	`jnl`	Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem. IEEE Access Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Chongsheng Zhang, Alberto Cano
2020	J	`jnl`	Kappa Updated Ensemble for drifting data stream mining. Mach. Learn. Alberto Cano, Bartosz Krawczyk
2020	J	`jnl`	Trajectory Outlier Detection: Algorithms, Taxonomies, Evaluation, and Open Challenges. ACM Trans. Manag. Inf. Syst. Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano
2020	J	`jnl`	When the Decomposition Meets the Constraint Satisfaction Problem. IEEE Access Youcef Djenouri, Djamel Djenouri, Zineb Habbas, Jerry Chun-Wei Lin, Tomasz P. Michalak, Alberto Cano
2019	J	`jnl`	A Survey on Urban Traffic Anomalies Detection Algorithms. IEEE Access Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Djamel Djenouri, Alberto Cano
2019	—	`conf`	ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark. ICCS (3) Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2019	—	`conf`	Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData Lukasz Korycki, Alberto Cano, Bartosz Krawczyk
2019	J	`jnl`	Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow. IEEE Access Youcef Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Alberto Cano
2019	A*	`conf`	Adaptive Ensemble Active Learning for Drifting Data Stream Mining. IJCAI Bartosz Krawczyk, Alberto Cano
2019	J	`jnl`	Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams. Pattern Recognit. Alberto Cano, Bartosz Krawczyk
2019	J	`jnl`	Exploiting GPU and cluster parallelism in single scan frequent itemset mining. Inf. Sci. Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Alberto Cano
2019	J	`jnl`	Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations. IEEE Trans. Learn. Technol. Alberto Cano, John D. Leonard
2019	J	`jnl`	Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Trans. Knowl. Discov. Data Martha I. Roseberry, Bartosz Krawczyk, Alberto Cano
2019	C	`conf`	Speeding Up Classifier Chains in Multi-label Classification. IoTBDS Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano
2019	J	`jnl`	Speeding up Neurocomputing Przemyslaw Skryjomski, Bartosz Krawczyk, Alberto Cano
2018	J	`jnl`	A locally weighted learning method based on a data gravitation model for multi-target regression. Int. J. Comput. Intell. Syst. Oscar Gabriel Reyes Pupo, Alberto Cano, Habib M. Fardoun, Sebastián Ventura
2018	J	`jnl`	A survey on graphic processing unit computing for large-scale data mining. WIREs Data Mining Knowl. Discov. Alberto Cano
2018	J	`jnl`	Distributed nearest neighbor classification for large-scale multi-label data on spark. Future Gener. Comput. Syst. Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2018	B	`conf`	Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s. CEC Alberto Cano, Bartosz Krawczyk
2018	J	`jnl`	MIRSVM: Multi-instance support vector machine with bag representatives. Pattern Recognit. Gabriella Melki, Alberto Cano, Sebastián Ventura
2018	—	`conf`	Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams. LIDTA@ECML/PKDD Martha I. Roseberry, Alberto Cano
2018	J	`jnl`	OLLAWV: OnLine Learning Algorithm using Worst-Violators. Appl. Soft Comput. Gabriella Melki, Vojislav Kecman, Sebastián Ventura, Alberto Cano
2018	J	`jnl`	Online ensemble learning with abstaining classifiers for drifting and noisy data streams. Appl. Soft Comput. Bartosz Krawczyk, Alberto Cano
2018	B	`conf`	Selecting local ensembles for multi-class imbalanced data classification. IJCNN Bartosz Krawczyk, Alberto Cano, Michal Wozniak
2017	J	`jnl`	An ensemble approach to multi-view multi-instance learning. Knowl. Based Syst. Alberto Cano
2017	J	`jnl`	Blocking Self-avoiding Walks Stops Cyber-epidemics: A Scalable GPU-based Approach. CoRR Hung T. Nguyen, Alberto Cano, Tam N. Vu, Thang N. Dinh
2017	J	`jnl`	Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm. Inf. Sci. Alberto Cano, Carlos García-Martínez, Sebastián Ventura
2017	—	`conf`	Large-Scale Multi-label Ensemble Learning on Spark. TrustCom/BigDataSE/ICESS Jorge Gonzalez-Lopez, Alberto Cano, Sebastián Ventura
2017	J	`jnl`	Multi-objective genetic programming for feature extraction and data visualization. Soft Comput. Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
2017	J	`jnl`	Multi-target support vector regression via correlation regressor chains. Inf. Sci. Gabriella Melki, Alberto Cano, Vojislav Kecman, Sebastián Ventura
2017	Misc	`conf`	Parsing MetaMap Files in Hadoop. AMIA Amy L. Olex, Alberto Cano, Bridget T. McInnes
2017	Misc	`conf`	Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization. HAIS Bartosz Krawczyk, Bridget T. McInnes, Alberto Cano
2016	B	`conf`	100 Million dimensions large-scale global optimization using distributed GPU computing. CEC Alberto Cano, Carlos García-Martínez
2016	Misc	`conf`	A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets. HAIS Francisco Padillo, José María Luna, Alberto Cano, Sebastián Ventura
2016	J	`jnl`	Discovering useful patterns from multiple instance data. Inf. Sci. José María Luna, Alberto Cano, Virgilijus Sakalauskas, Sebastián Ventura
2016	J	`jnl`	Early dropout prediction using data mining: a case study with high school students. Expert Syst. J. Knowl. Eng. Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura
2016	J	`jnl`	LAIM discretization for multi-label data. Inf. Sci. Alberto Cano, José María Luna, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2016	J	`jnl`	Speeding-Up Association Rule Mining With Inverted Index Compression. IEEE Trans. Cybern. José María Luna, Alberto Cano, Mykola Pechenizkiy, Sebastián Ventura
2016	J	`jnl`	ur-CAIM: improved CAIM discretization for unbalanced and balanced data. Soft Comput. Alberto Cano, Dat T. Nguyen, Sebastián Ventura, Krzysztof J. Cios
2015	J	`jnl`	A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura
2015	—	`ch.`	Genetic Programming for Mining Association Rules in Relational Database Environments. Handbook of Genetic Programming Applications José María Luna, Alberto Cano, Sebastián Ventura
2015	J	`jnl`	Speeding up multiple instance learning classification rules on GPUs. Knowl. Inf. Syst. Alberto Cano, Amelia Zafra, Sebastián Ventura
2015	Misc	`conf`	Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE. EPIA David Pinheiro, Alberto Cano, Sebastián Ventura
2014	Misc	`conf`	Classification Rule Mining with Iterated Greedy. HAIS Juan A. Pedraza, Carlos García-Martínez, Alberto Cano, Sebastián Ventura
2014	A	`conf`	GPU-parallel subtree interpreter for genetic programming. GECCO Alberto Cano, Sebastián Ventura
2014	J	`jnl`	Parallel evaluation of Pittsburgh rule-based classifiers on GPUs. Neurocomputing Alberto Cano, Amelia Zafra, Sebastián Ventura
2014	J	`jnl`	Scalable CAIM discretization on multiple GPUs using concurrent kernels. J. Supercomput. Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
2013	B	`conf`	A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. EuroGP Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2013	J	`jnl`	An interpretable classification rule mining algorithm. Inf. Sci. Alberto Cano, Amelia Zafra, Sebastián Ventura
2013	J	`jnl`	High performance evaluation of evolutionary-mined association rules on GPUs. J. Supercomput. Alberto Cano, José María Luna, Sebastián Ventura
2013	J	`jnl`	Parallel multi-objective Ant Programming for classification using GPUs. J. Parallel Distributed Comput. Alberto Cano, Juan Luis Olmo, Sebastián Ventura
2013	J	`jnl`	Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl. Intell. Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura
2013	J	`jnl`	Weighted Data Gravitation Classification for Standard and Imbalanced Data. IEEE Trans. Cybern. Alberto Cano, Amelia Zafra, Sebastián Ventura
2012	C	`conf`	Binary and multiclass imbalanced classification using multi-objective ant programming. ISDA Juan Luis Olmo, Alberto Cano, José Raúl Romero, Sebastián Ventura
2012	J	`jnl`	Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Comput. Alberto Cano, Amelia Zafra, Sebastián Ventura
2011	—	`conf`	A Parallel Genetic Programming Algorithm for Classification. HAIS (1) Alberto Cano, Amelia Zafra, Sebastián Ventura
2011	C	`conf`	An EP algorithm for learning highly interpretable classifiers. ISDA Alberto Cano, Amelia Zafra, Sebastián Ventura
2011	—	`conf`	JCLEC Meets WEKA! HAIS (1) Alberto Cano, José María Luna, Juan Luis Olmo, Sebastián Ventura
2010	—	`conf`	Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS (2) Alberto Cano, Amelia Zafra, Sebastián Ventura