| 2026 | IWINAC | GUI-Based Tools to Lecture Data Analytics: An Exploratory Data Analysis Scenario. | Kelsy Cabello-Solorzano, Alejandro Bautista-Jurez, Lus Correia, Sung-Bae Cho, Antonio J. Talln-Ballesteros |
| 2024 | IDEAL | 2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI. | Eva Tuba, Antonio J. Talln-Ballesteros, Milan Tuba |
| 2024 | IDEAL | Data Mining in Credit Card Approval: Feature Importance Testing Comparison. | Qingyu Ye, Simon Fong, Jiahui Yu, Antonio J. Talln-Ballesteros |
| 2023 | HAIS | 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, Lus Correia, Antonio J. Talln-Ballesteros |
| 2023 | IDEAL | Instance Selection Techniques for Large Volumes of Data. | Marco A. Pea-Cubillos, Antonio J. Talln-Ballesteros |
| 2022 | HIS | Statistical and Deep Machine Learning Techniques to Forecast Cryptocurrency Volatility. | ngeles Cebrin-Hernndez, Enrique Jimnez-Rodrguez, Antonio J. Talln-Ballesteros |
| 2022 | IWINAC | Feature Ranking for Feature Sorting and Feature Selection: FR4(FS) | Paola Santana-Morales, Alberto Fernndez-Merchn, Alba Mrquez-Rodrguez, Antonio J. Talln-Ballesteros |
| 2021 | HAIS | A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection. | Yan Zhong, Tengyue Li, Simon Fong, Xuqi Li, Antonio J. Talln-Ballesteros, Sabah Mohammed |
| 2021 | IDEAL | Multi-Attribute Forecast of the Price in the Iberian Electricity Market. | Gonalo Peres, Antonio J. Talln-Ballesteros, Lus Cavique |
| 2020 | GECCO | Teng-Yue algorithm: a novel metaheuristic search method for fast cancer classification. | Tengyue Li, Simon Fong, Antonio J. Talln-Ballesteros |
| 2020 | GECCO | Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets. | Antonio J. Talln-Ballesteros, Tengyue Li, Simon Fong |
| 2020 | HAIS | Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability. | Antonio J. Talln-Ballesteros, Simon Fong, Tengyue Li, Liansheng Liu, Thomas Hanne, Weiwei Lin |
| 2020 | ICDM | Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining. | Tengyue Li, Simon Fong, Yaoyang Wu, Antonio J. Talln-Ballesteros |
| 2020 | IDEAL | Data Pre-processing and Data Generation in the Student Flow Case Study. | Lus Cavique, Paulo Pombinho, Antonio J. Talln-Ballesteros, Lus Correia |
| 2019 | HAIS | Does the Order of Attributes Play an Important Role in Classification? | Antonio J. Talln-Ballesteros, Simon Fong, Roco Leal-Daz |
| 2019 | IDEAL | Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders. | Svetlana Simic, Ljiljana Radmilo, Dragan Simic, Svetislav D. Simic, Antonio J. Talln-Ballesteros |
| 2018 | HAIS | Featuring the Attributes in Supervised Machine Learning. | Antonio J. Talln-Ballesteros, Lus Correia, Bing Xue |
| 2018 | IDEAL | Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data. | Zoila Ruiz-Chavez, Jaime Salvador-Meneses, Jos Garca Rodrguez, Antonio J. Talln-Ballesteros |
| 2018 | IDEAL | Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. | Antonio J. Talln-Ballesteros, Milan Tuba, Bing Xue, Takako Hashimoto |
| 2018 | IDEAL | Bare Bones Fireworks Algorithm for Medical Image Compression. | Eva Tuba, Raka Jovanovic, Marko Beko, Antonio J. Talln-Ballesteros, Milan Tuba |
| 2017 | IDEAL | Stochastic and Non-Stochastic Feature Selection. | Antonio J. Talln-Ballesteros, Lus Correia, Sung-Bae Cho |
| 2017 | IDEAL | Understanding Matching Data Through Their Partial Components. | Pablo lvarez de Toledo, Fernando Nuez, Carlos Usabiaga, Antonio J. Talln-Ballesteros |
| 2017 | IWINAC | Visual Tools to Lecture Data Analytics and Engineering. | Sung-Bae Cho, Antonio J. Talln-Ballesteros |
| 2017 | IWINAC | Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap. | Antonio J. Talln-Ballesteros, Jos C. Riquelme |
| 2016 | HAIS | Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection. | Antonio J. Talln-Ballesteros, Jos C. Riquelme, Roberto Ruiz Snchez |
| 2015 | IWINAC | Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach. | Antonio J. Talln-Ballesteros, Jos C. Riquelme |
| 2014 | IDEAL | Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures. | Antonio J. Talln-Ballesteros, Jos C. Riquelme |
| 2011 | IWINAC | Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. | Antonio J. Talln-Ballesteros, Csar Hervs-Martnez, Jos C. Riquelme, Roberto Ruiz |