Antonio J. Tallón-Ballesteros

According to our database1, Antonio J. Tallón-Ballesteros authored at least 44 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Online presence:

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Bibliography

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: FR4(FS)<sup>2</sup>.
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

Attribute Subset Selection for Image Recognition. Random Forest Under Assessment.
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

Multi-Attribute Forecast of the Price in the Iberian Electricity Market.
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

Data Pre-processing and Data Generation in the Student Flow Case Study.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining.
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

Metaheuristic algorithm to train product and sigmoid neural network classifiers.
Expert Syst. J. Knowl. Eng., 2019

Bargains in the diamond market? How to take advantage from online information.
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

Does the Order of Attributes Play an Important Role in Classification?
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Bare Bones Fireworks Algorithm for Medical Image Compression.
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

Featuring the Attributes in Supervised Machine Learning.
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
Medium and high-dimensionality attribute selection in Bayes-type classifiers.
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

Visual Tools to Lecture Data Analytics and Engineering.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Understanding Matching Data Through Their Partial Components.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Stochastic and Non-Stochastic Feature Selection.
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
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach.
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

Deleting or keeping outliers for classifier training?
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


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