| 2025 | ECAI | Online Hierarchical Partitioning of the Output Space in Extreme Multi-Label Data Streams. | Lara Neves, Afonso Loureno, Alberto Cano, Goreti Marreiros |
| 2025 | IJCNN | Shared Knowledge Base for Multi Deep Learning in Defect Detection. | Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Ahmed Nabil Belbachir, Alberto Cano |
| 2024 | EDM | Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. | Pamela Buay-Guisan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristbal Romero |
| 2024 | IJCNN | Vision-based Spatiotemporal Learning for Human Activity Recognition. | Youcef Djenouri, Ahmed Nabil Belbachir, Gautam Srivastava, Alberto Cano |
| 2023 | SAC | An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams. | Gabriel Jonas Aguiar, Alberto Cano |
| 2023 | SAC | Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. | Martha I. Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano |
| 2022 | CEC | An Explainable Classifier based on Genetically Evolved Graph Structures. | Joo Roberto Bertini Junior, Alberto Cano |
| 2021 | PAKDD | Locally Linear Support Vector Machines for Imbalanced Data Classification. | Bartosz Krawczyk, Alberto Cano |
| 2019 | ICCS | ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark. | Jorge Gonzalez-Lopez, Sebastin Ventura, Alberto Cano |
| 2019 | IJCAI | Adaptive Ensemble Active Learning for Drifting Data Stream Mining. | Bartosz Krawczyk, Alberto Cano |
| 2018 | CEC | Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s. | Alberto Cano, Bartosz Krawczyk |
| 2018 | IJCNN | Selecting local ensembles for multi-class imbalanced data classification. | Bartosz Krawczyk, Alberto Cano, Michal Wozniak |
| 2017 | AMIA | Parsing MetaMap Files in Hadoop. | Amy L. Olex, Alberto Cano, Bridget T. McInnes |
| 2017 | HAIS | Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization. | Bartosz Krawczyk, Bridget T. McInnes, Alberto Cano |
| 2017 | TrustCom | Large-Scale Multi-label Ensemble Learning on Spark. | Jorge Gonzalez-Lopez, Alberto Cano, Sebastin Ventura |
| 2016 | CEC | 100 Million dimensions large-scale global optimization using distributed GPU computing. | Alberto Cano, Carlos Garca-Martnez |
| 2016 | HAIS | A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets. | Francisco Padillo, Jos Mara Luna, Alberto Cano, Sebastin Ventura |
| 2015 | EPIA | Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE. | David Pinheiro, Alberto Cano, Sebastin Ventura |
| 2014 | GECCO | GPU-parallel subtree interpreter for genetic programming. | Alberto Cano, Sebastin Ventura |
| 2014 | HAIS | Classification Rule Mining with Iterated Greedy. | Juan A. Pedraza, Carlos Garca-Martnez, Alberto Cano, Sebastin Ventura |
| 2013 | EUROGP | A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. | Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastin Ventura |
| 2012 | ISDA | Binary and multiclass imbalanced classification using multi-objective ant programming. | Juan Luis Olmo, Alberto Cano, Jos Ral Romero, Sebastin Ventura |
| 2011 | HAIS | JCLEC Meets WEKA! | Alberto Cano, Jos Mara Luna, Juan Luis Olmo, Sebastin Ventura |
| 2011 | HAIS | A Parallel Genetic Programming Algorithm for Classification. | Alberto Cano, Amelia Zafra, Sebastin Ventura |
| 2011 | ISDA | A bounded dynamic programming algorithm for the MMSP-W considering workstation dependencies and unrestricted interruption of the operations. | Joaqun Bautista, Alberto Cano, Roco Alfaro |
| 2011 | ISDA | An EP algorithm for learning highly interpretable classifiers. | Alberto Cano, Amelia Zafra, Sebastin Ventura |
| 2010 | HAIS | Solving Classification Problems Using Genetic Programming Algorithms on GPUs. | Alberto Cano, Amelia Zafra, Sebastin Ventura |