Verónica Bolón-Canedo
Orcid: 0000-0002-0524-6427
According to our database1,
Verónica Bolón-Canedo
authored at least 122 papers
between 2009 and 2025.
Collaborative distances:
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Bibliography
2025
Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding.
Expert Syst. J. Knowl. Eng., March, 2025
Breaking boundaries: Low-precision conditional mutual information for efficient feature selection.
Pattern Recognit., 2025
Adaptive incremental transfer learning for efficient performance modeling of big data workloads.
Future Gener. Comput. Syst., 2025
Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained Devices.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025
2024
The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification.
Expert Syst. J. Knowl. Eng., August, 2024
Finding a needle in a haystack: insights on feature selection for classification tasks.
J. Intell. Inf. Syst., April, 2024
A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning.
J. Parallel Distributed Comput., 2024
J. Parallel Distributed Comput., 2024
Neurocomputing, 2024
Spatial-temporal feature-based End-to-end Fourier network for 3D sign language recognition.
Expert Syst. Appl., 2024
Proceedings of the International Conference on Machine Learning and Applications, 2024
2023
Do all roads lead to Rome? Studying distance measures in the context of machine learning.
Pattern Recognit., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
IEEE Trans. Games, June, 2023
Feature selection for domain adaptation using complexity measures and swarm intelligence.
Neurocomputing, 2023
Intell. Data Anal., 2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Efficient feature selection for domain adaptation using Mutual Information Maximization.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
Low-precision feature selection on microarray data: an information theoretic approach.
Medical Biol. Eng. Comput., 2022
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning.
Inf. Sci., 2022
Neurocomputing, 2022
CoRR, 2022
Machine learning techniques to predict different levels of hospital care of CoVid-19.
Appl. Intell., 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Feature selection for transfer learning using particle swarm optimization and complexity measures.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the Advances in Selected Artificial Intelligence Areas, 2022
2021
Dealing with heterogeneity in the context of distributed feature selection for classification.
Knowl. Inf. Syst., 2021
Proceedings of the Advances in Computational Intelligence, 2021
2020
Feature selection with limited bit depth mutual information for portable embedded systems.
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
J. Ambient Intell. Humaniz. Comput., 2020
Future Gener. Comput. Syst., 2020
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems.
CoRR, 2020
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci., 2019
Inf. Fusion, 2019
Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry.
Int. J. Inf. Manag., 2019
Comput. Biol. Medicine, 2019
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings.
Proceedings of the 8th International Conference on Data Science, 2019
2018
Intelligent Systems Reference Library 147, Springer, ISBN: 978-3-319-90079-7, 2018
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Knowl. Inf. Syst., 2018
Predictive Maintenance in the Metallurgical Industry: Data Analysis and Feature Selection.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Prog. Artif. Intell., 2017
Neural Process. Lett., 2017
Knowl. Based Syst., 2017
Centralized vs. distributed feature selection methods based on data complexity measures.
Knowl. Based Syst., 2017
Can classification performance be predicted by complexity measures? A study using microarray data.
Knowl. Inf. Syst., 2017
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst., 2017
On the use of feature selection to improve the detection of sea oil spills in SAR images.
Comput. Geosci., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Paving the way for providing teaching feedback in automatic evaluation of open response assignments.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
WIREs Data Mining Knowl. Discov., 2016
J. Comput. Sci., 2016
A comparison of performance of K-complex classification methods using feature selection.
Inf. Sci., 2016
Expert Syst. Appl., 2016
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Trans. Comput. Collect. Intell., 2015
Recent advances and emerging challenges of feature selection in the context of big data.
Knowl. Based Syst., 2015
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed., 2015
Appl. Soft Comput., 2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Computational Intelligence, 2015
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features.
Proceedings of the Advances in Artificial Intelligence, 2015
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-3-319-21858-8, 2015
2014
IEEE J. Biomed. Health Informatics, 2014
Inf. Sci., 2014
Proceedings of the ICAART 2014, 2014
Proceedings of the ICAART 2014, 2014
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification.
Proceedings of the ICAART 2014, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
Expert Syst. Appl., 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the Advances in Artificial Intelligence, 2013
2012
Pattern Recognit., 2012
An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
2011
A study of performance on microarray data sets for a classifier based on information theoretic learning.
Neural Networks, 2011
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset.
Expert Syst. Appl., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
Multiclass classifiers vs multiple binary classifiers using filters for feature selection.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset.
Proceedings of the International Joint Conference on Neural Networks, 2009