Antonio J. Tallón-Ballesteros

89 papers C 9Misc 6Journal 18Unranked 27
YearRankTypeTitle / Venue / Authors
2026 — ed.
Fuzzy Systems and Data Mining XI - Proceedings of FSDM 2025, Chaozhou City, China, 14-17 November 2025
FSDM
Antonio J. Tallón-Ballesteros, Luís Correia
2026 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2025 - 26th International Conference, Jaén, Spain, November 13-15, 2025, Proceedings, Part I
IDEAL (1)
Luis Martínez, David Camacho, Hujun Yin, Bapi Dutta, Raciel Yera, Rosa María Rodríguez Domínguez, Antonio J. Tallón-Ballesteros
2026 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2025 - 26th International Conference, Jaén, Spain, November 13-15, 2025, Proceedings, Part II
IDEAL (2)
Luis Martínez, David Camacho, Hujun Yin, Bapi Dutta, Raciel Yera, Rosa María Rodríguez Domínguez, Antonio J. Tallón-Ballesteros
2026 — ed.
Machine Learning and Artificial Intelligence - Proceedings of MLIS 2025, Hong Kong, November 24-26, 2025
MLIS
Agustina Grangetto, Alejandra Gabriela Martínez, Enzo Alejandro Castro Rojas, Antonio J. Tallón-Ballesteros
2025 J jnl
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data.
CoRR
Jinyan Li, Yaoyang Wu, Simon Fong, Antonio J. Tallón-Ballesteros, Xin-She Yang, Sabah Mohammed, Feng Wu
2025 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2024 - 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I
IDEAL (1)
Vicente Julián, David Camacho, Hujun Yin, Juan M. Alberola, Vítor Beires Nogueira, Paulo Novais, Antonio J. Tallón-Ballesteros
2025 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2024 - 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part II
IDEAL (2)
Vicente Julián, David Camacho, Hujun Yin, Juan M. Alberola, Vítor Beires Nogueira, Paulo Novais, Antonio J. Tallón-Ballesteros
2025 J jnl
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network.
CoRR
Iat Hang Fong, Tengyue Li, Simon Fong, Raymond Kwok-Kay Wong, Antonio J. Tallón-Ballesteros
2025 J jnl
Predicting insurance claims through a variety of data mining techniques: facing lots of missing values and moderate class-imbalanced levels.
Log. J. IGPL
Paola Santana-Morales, Antonio J. Tallón-Ballesteros
2024 — conf
2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI.
IDEAL (2)
Eva Tuba, Antonio J. Tallón-Ballesteros, Milan Tuba
2024 J jnl
A two-stage algorithm in evolutionary product unit neural networks for classification.
CoRR
Antonio J. Tallón-Ballesteros, César Hervás-Martínez
2024 — conf
Data Mining in Credit Card Approval: Feature Importance Testing Comparison.
IDEAL (2)
Qingyu Ye, Simon Fong, Jiahui Yu, Antonio J. Tallón-Ballesteros
2024 — ed.
Electronics, Communications and Networks - Proceedings of the 13th International Conference (CECNet 2023), Macao, China, 17-20 November 2023
CECNet
Antonio J. Tallón-Ballesteros, Estefanía Cortés-Ancos, Diego A. López García
2024 — ed.
Fuzzy Systems and Data Mining X - Proceedings of FSDM 2024, Matsue, Japan, 5-8 November 2024
FSDM
Antonio J. Tallón-Ballesteros
2024 — conf
Influencer Sales on TikTok: Forecasting Prominent Factors.
GECON
Jiahao Liang, Simon Fong, Sandra Méndez-Muros, Antonio J. Tallón-Ballesteros
2024 — conf
Weighted Feature Ranking Merging for Supervised Machine Learning.
SOCO (2)
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
2023 — ed.
Digitalization and Management Innovation - Proceedings of DMI 2022, Beijing, China, November 26, 2022.
DMI
Antonio J. Tallón-Ballesteros, Paola Santana-Morales
2023 Misc conf
Feature Ranking for Feature Sorting and Feature Selection with Optimisation.
HAIS
Paola Santana-Morales, Gretel Alonso, Isabela Ortigosa de Araujo, Jessica Coto Palacio, Raquel Beltran-Barba, Luís Correia, Antonio J. Tallón-Ballesteros
2023 — ed.
Fuzzy Systems and Data Mining IX - Proceedings of FSDM 2023, Hybrid Event, Chongqing, China, 10-13 November 2023.
FSDM
Antonio J. Tallón-Ballesteros, Raquel Beltran-Barba
2023 C conf
Instance Selection Techniques for Large Volumes of Data.
IDEAL
Marco A. Peña-Cubillos, Antonio J. Tallón-Ballesteros
2023 C ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2023 - 24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings
IDEAL
Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julián, Antonio J. Tallón-Ballesteros
2023 — ed.
Modern Management Based on Big Data IV - Proceedings of MMBD 2023, Seoul, Korea, 1-4 August 2023.
MMBD
Antonio J. Tallón-Ballesteros
2023 — conf
The Impact of Data Normalization on the Accuracy of Machine Learning Algorithms: A Comparative Analysis.
SOCO (2)
Kelsy Cabello-Solorzano, Isabela Ortigosa de Araujo, Marco Peña, Luís Correia, Antonio J. Tallón-Ballesteros
2022 J jnl
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data.
J. Supercomput.
Jinyan Li, Yaoyang Wu, Simon Fong, Antonio J. Tallón-Ballesteros, Xin-She Yang, Sabah Mohammed, Feng Wu
2022 — conf
Classification Methods for MOBA Games.
SOCO
Marco A. Peña-Cubillos, Alejandro Villar-Ruiz, Antonio J. Tallón-Ballesteros, Yaoyang Wu, Simon Fong
2022 — conf
Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$\wedge $FSo.
SOCO
Antonio J. Tallón-Ballesteros, Alba Márquez-Rodríguez, Yaoyang Wu, Paola Santana-Morales, Simon Fong
2022 — conf
Feature Ranking for Feature Sorting and Feature Selection: FR4(FS)
IWINAC (1)
Paola Santana-Morales, Alberto Fernández-Merchán, Alba Márquez-Rodríguez, Antonio J. Tallón-Ballesteros
2022 — ed.
Fuzzy Systems and Data Mining VIII - Proceedings of FSDM 2022, Virtual Event, 4-7 November 2022.
FSDM
Antonio J. Tallón-Ballesteros
2022 — ed.
Modern Management based on Big Data III - Proceedings of MMBD 2022, Virtual Event / Seoul, Korea, 15-18 August 2022.
MMBD
Antonio J. Tallón-Ballesteros
2022 — ed.
Proceedings of CECNet 2022 - The 12th International Conference on Electronics, Communications and Networks (CECNet 2022), 4-7 November 2022, Virtual Event / Xiamen, China
CECNet
Antonio J. Tallón-Ballesteros
2021 Misc conf
A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection.
HAIS
Yan Zhong, Tengyue Li, Simon Fong, Xuqi Li, Antonio J. Tallón-Ballesteros, Sabah Mohammed
2021 — conf
Attribute Subset Selection for Image Recognition. Random Forest Under Assessment.
SOCO
Antonio J. Tallón-Ballesteros, Luís Correia, Rocío Leal-Díaz
2021 J jnl
Extracting salient information from discarded features via attribute selection and pruning.
Appl. Soft Comput.
Antonio J. Tallón-Ballesteros, Sung-Bae Cho
2021 — ed.
Fuzzy Systems and Data Mining VII - Proceedings of FSDM 2021, Virtual Event, 26-29 October 2021.
FSDM
Antonio J. Tallón-Ballesteros
2021 — conf
Hybrid scatter and ant search feature subset selection: applications in classification problems.
IDSTA
Antonio J. Tallón-Ballesteros, Luís Correia, Simon Fong
2021 C ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings
IDEAL
Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento
2021 — ed.
Modern Management based on Big Data II and Machine Learning and Intelligent Systems III - Proceedings of MMBD 2021 and MLIS 2021, Virtual Event, China, 8-11 November 2021.
MMBD/MLIS
Antonio J. Tallón-Ballesteros
2021 C conf
Multi-Attribute Forecast of the Price in the Iberian Electricity Market.
IDEAL
Gonçalo Peres, Antonio J. Tallón-Ballesteros, Luís Cavique
2021 — ed.
Proceedings of CECNet 2021 - The 11th International Conference on Electronics, Communications and Networks (CECNet), November 18-21, 2021, Virtual Event / Beijing, China
CECNet
Antonio J. Tallón-Ballesteros
2021 — conf
Supervised Machine Learning Techniques in the Bitcoin Transactions. A Case of Ransomware Classification.
SOCO
José A. Blanco, Antonio J. Tallón-Ballesteros
2020 — conf
Data Pre-processing and Data Generation in the Student Flow Case Study.
IDEAL (2)
Luís Cavique, Paulo Pombinho, Antonio J. Tallón-Ballesteros, Luís Correia
2020 J jnl
Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning.
Pattern Anal. Appl.
Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz
2020 — ed.
Fuzzy Systems and Data Mining VI - Proceedings of FSDM 2020, Virtual Event, November 13-16, 2020.
FSDM
Antonio J. Tallón-Ballesteros
2020 Misc conf
Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability.
HAIS
Antonio J. Tallón-Ballesteros, Simon Fong, Tengyue Li, Liansheng Liu, Thomas Hanne, Weiwei Lin
2020 — conf
Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining.
ICDM (Workshops)
Tengyue Li, Simon Fong, Yaoyang Wu, Antonio J. Tallón-Ballesteros
2020 — ed.
Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020, Virtual Event, October 25-28, 2020.
MLIS
Antonio J. Tallón-Ballesteros, Chi-Hua Chen
2020 — ed.
Modern Management based on Big Data I - Proceedings of MMBD 2020, Beijing, China, October 18-21, 2020
MMBD
Antonio J. Tallón-Ballesteros
2020 J jnl
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network.
Knowl. Based Syst.
Iat Hang Fong, Tengyue Li, Simon Fong, Raymond K. Wong, Antonio J. Tallón-Ballesteros
2020 — conf
Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets.
GECCO Companion
Antonio J. Tallón-Ballesteros, Tengyue Li, Simon Fong
2020 J jnl
Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems.
Expert Syst. J. Knowl. Eng.
Antonio González-Pardo, Antonio J. Tallón-Ballesteros, Hujun Yin
2020 — conf
Teng-Yue algorithm: a novel metaheuristic search method for fast cancer classification.
GECCO Companion
Tengyue Li, Simon Fong, Antonio J. Tallón-Ballesteros
2019 — conf
Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?
SOCO
Antonio J. Tallón-Ballesteros, Luís Cavique, Simon Fong
2019 J jnl
Bargains in the diamond market? How to take advantage from online information.
Expert Syst. J. Knowl. Eng.
Ángel Arcos-Vargas, Fernando Nuñez, Antonio J. Tallón-Ballesteros
2019 Misc conf
Does the Order of Attributes Play an Important Role in Classification?
HAIS
Antonio J. Tallón-Ballesteros, Simon Fong, Rocío Leal-Díaz
2019 — conf
Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders.
IDEAL (2)
Svetlana Simic, Ljiljana Radmilo, Dragan Simic, Svetislav D. Simic, Antonio J. Tallón-Ballesteros
2019 — ed.
Fuzzy Systems and Data Mining V - Proceedings of FSDM 2019, Kitakyushu City, Japan, October 18-21, 2019
FSDM
Antonio J. Tallón-Ballesteros
2019 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I
IDEAL (1)
Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
2019 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II
IDEAL (2)
Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
2019 J jnl
Metaheuristic algorithm to train product and sigmoid neural network classifiers.
Expert Syst. J. Knowl. Eng.
Antonio J. Tallón-Ballesteros
2019 J jnl
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems.
Neurocomputing
Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz
2018 — conf
An Empirical Study on Performance Server Analysis and URL Phishing Prevention to Improve System Management Through Machine Learning.
GECON
Antonio J. Tallón-Ballesteros, Simon James Fong, Raymond Kwok-Kay Wong
2018 — conf
Bare Bones Fireworks Algorithm for Medical Image Compression.
IDEAL (2)
Eva Tuba, Raka Jovanovic, Marko Beko, Antonio J. Tallón-Ballesteros, Milan Tuba
2018 — conf
Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data.
IDEAL (2)
Zoila Ruiz-Chavez, Jaime Salvador-Meneses, José García Rodríguez, Antonio J. Tallón-Ballesteros
2018 — conf
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms.
IDEAL (2)
Antonio J. Tallón-Ballesteros, Milan Tuba, Bing Xue, Takako Hashimoto
2018 Misc conf
Featuring the Attributes in Supervised Machine Learning.
HAIS
Antonio J. Tallón-Ballesteros, Luís Correia, Bing Xue
2018 — ed.
Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018, Bangkok, Thailand, 16-19 November 2018.
FSDM
Antonio J. Tallón-Ballesteros, Kaicheng Li
2018 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I
IDEAL (1)
Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
2018 — ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II
IDEAL (2)
Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
2017 — ed.
Fuzzy Systems and Data Mining III - Proceedings of FSDM 2017 [Hualien, Taiwan, November 2017].
FSDM
Antonio J. Tallón-Ballesteros, Kaicheng Li
2017 C ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings
IDEAL
Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang
2017 — conf
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap.
IWINAC (2)
Antonio J. Tallón-Ballesteros, José C. Riquelme
2017 — conf
Medium and high-dimensionality attribute selection in Bayes-type classifiers.
IWOBI
Antonio J. Tallón-Ballesteros, Luís Correia
2017 C conf
Stochastic and Non-Stochastic Feature Selection.
IDEAL
Antonio J. Tallón-Ballesteros, Luís Correia, Sung-Bae Cho
2017 C conf
Understanding Matching Data Through Their Partial Components.
IDEAL
Pablo Álvarez de Toledo, Fernando Nuñez, Carlos Usabiaga, Antonio J. Tallón-Ballesteros
2017 — conf
Visual Tools to Lecture Data Analytics and Engineering.
IWINAC (2)
Sung-Bae Cho, Antonio J. Tallón-Ballesteros
2016 Misc conf
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection.
HAIS
Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz Sánchez
2016 J jnl
Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification.
AI Commun.
Antonio J. Tallón-Ballesteros
2016 — ed.
Fuzzy Systems and Data Mining II - Proceedings of FSDM 2016 [Macau, China, 1-14 December 2016]
FSDM
Shilei Sun, Antonio J. Tallón-Ballesteros, Dragan Pamucar, Feng Liu
2016 C ed.
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings
IDEAL
Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
2016 J jnl
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks.
Connect. Sci.
Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez
2015 — conf
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach.
IWINAC (2)
Antonio J. Tallón-Ballesteros, José C. Riquelme
2014 — ch.
Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning.
Computational Intelligence in Digital Forensics
Antonio J. Tallón-Ballesteros, José C. Riquelme
2014 — conf
Deleting or keeping outliers for classifier training?
NaBIC
Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos
2014 J jnl
New training approaches for classification based on evolutionary neural networks. Application to product and sigmoidal units.
Inteligencia Artif.
Antonio J. Tallón-Ballesteros
2014 C conf
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures.
IDEAL
Antonio J. Tallón-Ballesteros, José C. Riquelme
2013 J jnl
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems.
Neurocomputing
Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz
2012 J jnl
Distribution of the search of evolutionary product unit neural networks for classification
CoRR
Antonio J. Tallón-Ballesteros, Pedro Antonio Gutiérrez Peña, César Hervás-Martínez
2011 J jnl
A two-stage algorithm in evolutionary product unit neural networks for classification.
Expert Syst. Appl.
Antonio J. Tallón-Ballesteros, César Hervás-Martínez
2011 — conf
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection.
IWINAC (2)
Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz