Antonio J. Tallón-Ballesteros
Orcid: 0000-0002-9699-1894Affiliations:
- University of Seville, Spain
According to our database1,
Antonio J. Tallón-Ballesteros
authored at least 49 papers
between 2011 and 2023.
Collaborative distances:
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Bibliography
2023
The Impact of Data Normalization on the Accuracy of Machine Learning Algorithms: A Comparative Analysis.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
2022
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data.
J. Supercomput., 2022
Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$\wedge $FSo.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
2021
Extracting salient information from discarded features via attribute selection and pruning.
Appl. Soft Comput., 2021
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Supervised Machine Learning Techniques in the Bitcoin Transactions. A Case of Ransomware Classification.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Hybrid scatter and ant search feature subset selection: applications in classification problems.
Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
2020
Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning.
Pattern Anal. Appl., 2020
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network.
Knowl. Based Syst., 2020
Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems.
Expert Syst. J. Knowl. Eng., 2020
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Teng-Yue algorithm: a novel metaheuristic search method for fast cancer classification.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems.
Neurocomputing, 2019
Expert Syst. J. Knowl. Eng., 2019
Expert Syst. J. Knowl. Eng., 2019
Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
An Empirical Study on Performance Server Analysis and URL Phishing Prevention to Improve System Management Through Machine Learning.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2018
2017
Proceedings of the International Conference and Workshop on Bioinspired Intelligence, 2017
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
2016
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks.
Connect. Sci., 2016
Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification.
AI Commun., 2016
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
Proceedings of the Bioinspired Computation in Artificial Systems, 2015
2014
Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning.
Proceedings of the Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, 2014
New training approaches for classification based on evolutionary neural networks. Application to product and sigmoidal units.
Inteligencia Artif., 2014
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
2013
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems.
Neurocomputing, 2013
2012
Distribution of the search of evolutionary product unit neural networks for classification
CoRR, 2012
2011
A two-stage algorithm in evolutionary product unit neural networks for classification.
Expert Syst. Appl., 2011
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection.
Proceedings of the New Challenges on Bioinspired Applications, 2011