Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (IWINAC (2), 2011)

A two-stage algorithm in evolutionary product unit neural networks for classification. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez (Expert Syst. Appl., 2011)

Distribution of the search of evolutionary product unit neural networks for classification - Antonio J. Tallón-Ballesteros; Pedro Antonio Gutiérrez Peña; César Hervás-Martínez (CoRR, 2012)

Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (Neurocomputing, 2013)

Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures. - Antonio J. Tallón-Ballesteros; José C. Riquelme (IDEAL, 2014)

Deleting or keeping outliers for classifier training? - Antonio J. Tallón-Ballesteros; José Cristóbal Riquelme Santos (NaBIC, 2014)

New training approaches for classification based on evolutionary neural networks. Application to product and sigmoidal units. - Antonio J. Tallón-Ballesteros (Inteligencia Artif., 2014)

Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning. - Antonio J. Tallón-Ballesteros; José C. Riquelme (Computational Intelligence in Digital Forensics, 2014)

Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach. - Antonio J. Tallón-Ballesteros; José C. Riquelme (IWINAC (2), 2015)

Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz Sánchez (HAIS, 2016)

Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification. - Antonio J. Tallón-Ballesteros (AI Commun., 2016)

Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks. - Antonio J. Tallón-Ballesteros; José Cristóbal Riquelme Santos; Roberto Ruiz Sánchez (Connect. Sci., 2016)

Stochastic and Non-Stochastic Feature Selection. - Antonio J. Tallón-Ballesteros; Luís Correia 001; Sung-Bae Cho (IDEAL, 2017)

Understanding Matching Data Through Their Partial Components. - Pablo Álvarez de Toledo; Fernando Nuñez; Carlos Usabiaga; Antonio J. Tallón-Ballesteros (IDEAL, 2017)

Visual Tools to Lecture Data Analytics and Engineering. - Sung-Bae Cho; Antonio J. Tallón-Ballesteros (IWINAC (2), 2017)

Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap. - Antonio J. Tallón-Ballesteros; José C. Riquelme (IWINAC (2), 2017)

Medium and high-dimensionality attribute selection in Bayes-type classifiers. - Antonio J. Tallón-Ballesteros; Luís Correia 001 (IWOBI, 2017)

An Empirical Study on Performance Server Analysis and URL Phishing Prevention to Improve System Management Through Machine Learning. - Antonio J. Tallón-Ballesteros; Simon James Fong; Raymond Kwok-Kay Wong (GECON, 2018)

Featuring the Attributes in Supervised Machine Learning. - Antonio J. Tallón-Ballesteros; Luís Correia 001; Bing Xue 001 (HAIS, 2018)

Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data. - Zoila Ruiz-Chavez; Jaime Salvador-Meneses; José García Rodríguez 001; Antonio J. Tallón-Ballesteros (IDEAL (2), 2018)

Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. - Antonio J. Tallón-Ballesteros; Milan Tuba; Bing Xue 001; Takako Hashimoto (IDEAL (2), 2018)

Bare Bones Fireworks Algorithm for Medical Image Compression. - Eva Tuba; Raka Jovanovic; Marko Beko; Antonio J. Tallón-Ballesteros; Milan Tuba (IDEAL (2), 2018)

Does the Order of Attributes Play an Important Role in Classification? - Antonio J. Tallón-Ballesteros; Simon Fong 001; Rocío Leal-Díaz (HAIS, 2019)

Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders. - Svetlana Simic; Ljiljana Radmilo; Dragan Simic; Svetislav D. Simic; Antonio J. Tallón-Ballesteros (IDEAL (2), 2019)

Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)? - Antonio J. Tallón-Ballesteros; Luís Cavique; Simon Fong 001 (SOCO, 2019)

Bargains in the diamond market? How to take advantage from online information. - Ángel Arcos-Vargas; Fernando Nuñez; Antonio J. Tallón-Ballesteros (Expert Syst. J. Knowl. Eng., 2019)

Metaheuristic algorithm to train product and sigmoid neural network classifiers. - Antonio J. Tallón-Ballesteros (Expert Syst. J. Knowl. Eng., 2019)

Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz (Neurocomputing, 2019)

Teng-Yue algorithm: a novel metaheuristic search method for fast cancer classification. - Tengyue Li; Simon Fong 001; Antonio J. Tallón-Ballesteros (GECCO Companion, 2020)

Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets. - Antonio J. Tallón-Ballesteros; Tengyue Li; Simon Fong 001 (GECCO Companion, 2020)

Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability. - Antonio J. Tallón-Ballesteros; Simon Fong 001; Tengyue Li; Liansheng Liu; Thomas Hanne; Weiwei Lin 001 (HAIS, 2020)

Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining. - Tengyue Li; Simon Fong 001; Yaoyang Wu; Antonio J. Tallón-Ballesteros (ICDM (Workshops), 2020)

Data Pre-processing and Data Generation in the Student Flow Case Study. - Luís Cavique; Paulo Pombinho; Antonio J. Tallón-Ballesteros; Luís Correia 001 (IDEAL (2), 2020)

Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems. - Antonio González-Pardo; Antonio J. Tallón-Ballesteros; Hujun Yin (Expert Syst. J. Knowl. Eng., 2020)

Predicting concentration levels of air pollutants by transfer learning and recurrent neural network. - Iat Hang Fong; Tengyue Li; Simon Fong 001; Raymond K. Wong 001; Antonio J. Tallón-Ballesteros (Knowl. Based Syst., 2020)

Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz (Pattern Anal. Appl., 2020)

A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection. - Yan Zhong 005; Tengyue Li; Simon Fong 001; Xuqi Li; Antonio J. Tallón-Ballesteros; Sabah Mohammed (HAIS, 2021)

Multi-Attribute Forecast of the Price in the Iberian Electricity Market. - Gonçalo Peres; Antonio J. Tallón-Ballesteros; Luís Cavique (IDEAL, 2021)

Hybrid scatter and ant search feature subset selection: applications in classification problems. - Antonio J. Tallón-Ballesteros; Luís Correia 001; Simon Fong 001 (IDSTA, 2021)

Supervised Machine Learning Techniques in the Bitcoin Transactions. A Case of Ransomware Classification. - José A. Blanco; Antonio J. Tallón-Ballesteros (SOCO, 2021)

Attribute Subset Selection for Image Recognition. Random Forest Under Assessment. - Antonio J. Tallón-Ballesteros; Luís Correia 001; Rocío Leal-Díaz (SOCO, 2021)

Extracting salient information from discarded features via attribute selection and pruning. - Antonio J. Tallón-Ballesteros; Sung-Bae Cho (Appl. Soft Comput., 2021)

Feature Ranking for Feature Sorting and Feature Selection: FR4(FS)2. - Paola Santana-Morales; Alberto F. Merchán; Alba Márquez-Rodríguez; Antonio J. Tallón-Ballesteros (IWINAC (1), 2022)

Classification Methods for MOBA Games. - Marco A. Peña-Cubillos; Alejandro Villar-Ruiz; Antonio J. Tallón-Ballesteros; Yaoyang Wu; Simon Fong 001 (SOCO, 2022)

Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$ wedge $FSo. - Antonio J. Tallón-Ballesteros; Alba Márquez-Rodríguez; Yaoyang Wu; Paola Santana-Morales; Simon Fong 001 (SOCO, 2022)

A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data. - Jinyan Li 002; Yaoyang Wu; Simon Fong 001; Antonio J. Tallón-Ballesteros; Xin-She Yang 001; Sabah Mohammed; Feng Wu (J. Supercomput., 2022)

Feature Ranking for Feature Sorting and Feature Selection with Optimisation. - Paola Santana-Morales; Gretel Alonso; Isabela Ortigosa de Araujo; Jessica Coto Palacio; Raquel Beltran-Barba; Luís M. Correia; Antonio J. Tallón-Ballesteros (HAIS, 2023)

Instance Selection Techniques for Large Volumes of Data. - Marco A. Peña-Cubillos; Antonio J. Tallón-Ballesteros (IDEAL, 2023)

The Impact of Data Normalization on the Accuracy of Machine Learning Algorithms: A Comparative Analysis. - Kelsy Cabello-Solorzano; Isabela Ortigosa de Araujo; Marco Peña; Luís Correia 001; Antonio J. Tallón-Ballesteros (SOCO (2), 2023)

Influencer Sales on TikTok: Forecasting Prominent Factors. - Jiahao Liang; Simon Fong 001; Sandra Méndez-Muros; Antonio J. Tallón-Ballesteros (GECON, 2024)

2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI. - Eva Tuba; Antonio J. Tallón-Ballesteros; Milan Tuba (IDEAL (2), 2024)

Data Mining in Credit Card Approval: Feature Importance Testing Comparison. - Qingyu Ye; Simon Fong 001; Jiahui Yu; Antonio J. Tallón-Ballesteros (IDEAL (2), 2024)

Weighted Feature Ranking Merging for Supervised Machine Learning. - Jessica Coto Palacio; Daniel Alejandro Ortiz-Tandazo; Alejandro Bautista-Juárez; Agustina Grangetto; Kelsy Cabello-Solorzano; Diana León-Castro; Paola Santana-Morales; Antonio J. Tallón-Ballesteros (SOCO (2), 2024)

Predicting insurance claims through a variety of data mining techniques: facing lots of missing values and moderate class-imbalanced levels. - Paola Santana-Morales; Antonio J. Tallón-Ballesteros (Log. J. IGPL, 2025)