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ORCIDAntonio J. Tallón-Ballesteros
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- affiliation: University of Seville, Spain
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2020 – today
- 2024
[e25]Antonio J. Tallón-Ballesteros, Estefanía Cortés-Ancos, Diego A. López García:
Electronics, Communications and Networks - Proceedings of the 13th International Conference (CECNet 2023), Macao, China, 17-20 November 2023. Frontiers in Artificial Intelligence and Applications 381, IOS Press 2024, ISBN 978-1-64368-480-2 [contents]- [i2]Antonio J. Tallón-Ballesteros, César Hervás-Martínez:
A two-stage algorithm in evolutionary product unit neural networks for classification. CoRR abs/2402.06622 (2024) - 2023
- [c34]Paola Santana-Morales, Gretel Alonso, Isabela Ortigosa de Araujo, Jessica Coto Palacio, Raquel Beltran-Barba, Luís M. Correia
, Antonio J. Tallón-Ballesteros:
Feature Ranking for Feature Sorting and Feature Selection with Optimisation. HAIS 2023: 363-371 - [c33]Marco A. Peña-Cubillos, Antonio J. Tallón-Ballesteros:
Instance Selection Techniques for Large Volumes of Data. IDEAL 2023: 538-546 - [c32]Kelsy Cabello-Solorzano, Isabela Ortigosa de Araujo, Marco Peña, Luís Correia, Antonio J. Tallón-Ballesteros:
The Impact of Data Normalization on the Accuracy of Machine Learning Algorithms: A Comparative Analysis. SOCO (2) 2023: 344-353 - [e24]Antonio J. Tallón-Ballesteros, Paola Santana-Morales:
Digitalization and Management Innovation - Proceedings of DMI 2022, Beijing, China, November 26, 2022. Frontiers in Artificial Intelligence and Applications 367, IOS Press 2023, ISBN 978-1-64368-378-2 [contents] - [e23]Antonio J. Tallón-Ballesteros, Raquel Beltran-Barba:
Fuzzy Systems and Data Mining IX - Proceedings of FSDM 2023, Hybrid Event, Chongqing, China, 10-13 November 2023. Frontiers in Artificial Intelligence and Applications 378, IOS Press 2023, ISBN 978-1-64368-470-3 [contents] - [e22]Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julián, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2023 - 24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings. Lecture Notes in Computer Science 14404, Springer 2023, ISBN 978-3-031-48231-1 [contents] - [e21]Antonio J. Tallón-Ballesteros:
Modern Management Based on Big Data IV - Proceedings of MMBD 2023, Seoul, Korea, 1-4 August 2023. Frontiers in Artificial Intelligence and Applications 370, IOS Press 2023, ISBN 978-1-64368-410-9 [contents] - 2022
- [j13]Jinyan Li, Yaoyang Wu, Simon Fong, Antonio J. Tallón-Ballesteros, Xin-She Yang, Sabah Mohammed, Feng Wu:
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data. J. Supercomput. 78(5): 7428-7463 (2022) - [c31]Paola Santana-Morales, Alberto F. Merchán, Alba Márquez-Rodríguez, Antonio J. Tallón-Ballesteros:
Feature Ranking for Feature Sorting and Feature Selection: FR4(FS)2. IWINAC (1) 2022: 545-550 - [c30]Marco A. Peña-Cubillos, Alejandro Villar-Ruiz, Antonio J. Tallón-Ballesteros, Yaoyang Wu, Simon Fong:
Classification Methods for MOBA Games. SOCO 2022: 567-574 - [c29]Antonio J. Tallón-Ballesteros, Alba Márquez-Rodríguez, Yaoyang Wu, Paola Santana-Morales, Simon Fong:
Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$\wedge $FSo. SOCO 2022: 575-583 - [e20]Antonio J. Tallón-Ballesteros:
Proceedings of CECNet 2022 - The 12th International Conference on Electronics, Communications and Networks (CECNet 2022), 4-7 November 2022, Virtual Event / Xiamen, China. Frontiers in Artificial Intelligence and Applications 363, IOS Press 2022, ISBN 978-1-64368-368-3 [contents] - [e19]Antonio J. Tallón-Ballesteros:
Fuzzy Systems and Data Mining VIII - Proceedings of FSDM 2022, Virtual Event, 4-7 November 2022. Frontiers in Artificial Intelligence and Applications 358, IOS Press 2022, ISBN 978-1-64368-346-1 [contents] - [e18]Antonio J. Tallón-Ballesteros:
Modern Management based on Big Data III - Proceedings of MMBD 2022, Virtual Event / Seoul, Korea, 15-18 August 2022. Frontiers in Artificial Intelligence and Applications 352, IOS Press 2022, ISBN 978-1-64368-300-3 [contents] - 2021
- [j12]Antonio J. Tallón-Ballesteros, Sung-Bae Cho:
Extracting salient information from discarded features via attribute selection and pruning. Appl. Soft Comput. 101: 107041 (2021) - [c28]Yan Zhong, Tengyue Li, Simon Fong, Xuqi Li, Antonio J. Tallón-Ballesteros, Sabah Mohammed:
A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection. HAIS 2021: 38-49 - [c27]Gonçalo Peres, Antonio J. Tallón-Ballesteros, Luís Cavique:
Multi-Attribute Forecast of the Price in the Iberian Electricity Market. IDEAL 2021: 485-492 - [c26]Antonio J. Tallón-Ballesteros, Luís Correia, Simon Fong:
Hybrid scatter and ant search feature subset selection: applications in classification problems. IDSTA 2021: 150-153 - [c25]José A. Blanco, Antonio J. Tallón-Ballesteros:
Supervised Machine Learning Techniques in the Bitcoin Transactions. A Case of Ransomware Classification. SOCO 2021: 803-810 - [c24]Antonio J. Tallón-Ballesteros, Luís Correia, Rocío Leal-Díaz:
Attribute Subset Selection for Image Recognition. Random Forest Under Assessment. SOCO 2021: 821-827 - [e17]Antonio J. Tallón-Ballesteros:
Proceedings of CECNet 2021 - The 11th International Conference on Electronics, Communications and Networks (CECNet), November 18-21, 2021, Virtual Event / Beijing, China. Frontiers in Artificial Intelligence and Applications 345, IOS Press 2021, ISBN 978-1-64368-240-2 [contents] - [e16]Antonio J. Tallón-Ballesteros:
Fuzzy Systems and Data Mining VII - Proceedings of FSDM 2021, Virtual Event, 26-29 October 2021. Frontiers in Artificial Intelligence and Applications 340, IOS Press 2021, ISBN 978-1-64368-214-3 [contents] - [e15]Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7 [contents] - [e14]Antonio J. Tallón-Ballesteros:
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. Frontiers in Artificial Intelligence and Applications 341, IOS Press 2021, ISBN 978-1-64368-224-2 [contents] - 2020
- [j11]Antonio González-Pardo, Antonio J. Tallón-Ballesteros, Hujun Yin:
Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j10]Iat Hang Fong, Tengyue Li, Simon Fong, Raymond K. Wong, Antonio J. Tallón-Ballesteros:
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network. Knowl. Based Syst. 192: 105622 (2020) - [j9]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz:
Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning. Pattern Anal. Appl. 23(1): 467-491 (2020) - [c23]Tengyue Li, Simon Fong, Antonio J. Tallón-Ballesteros:
Teng-Yue algorithm: a novel metaheuristic search method for fast cancer classification. GECCO Companion 2020: 47-48 - [c22]Antonio J. Tallón-Ballesteros, Tengyue Li, Simon Fong:
Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets. GECCO Companion 2020: 55-56 - [c21]Antonio J. Tallón-Ballesteros, Simon Fong, Tengyue Li, Liansheng Liu, Thomas Hanne, Weiwei Lin:
Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability. HAIS 2020: 511-521 - [c20]Tengyue Li, Simon Fong, Yaoyang Wu, Antonio J. Tallón-Ballesteros:
Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining. ICDM (Workshops) 2020: 851-858 - [c19]Luís Cavique, Paulo Pombinho, Antonio J. Tallón-Ballesteros, Luís Correia:
Data Pre-processing and Data Generation in the Student Flow Case Study. IDEAL (2) 2020: 35-43 - [e13]Antonio J. Tallón-Ballesteros:
Fuzzy Systems and Data Mining VI - Proceedings of FSDM 2020, Virtual Event, November 13-16, 2020. Frontiers in Artificial Intelligence and Applications 331, IOS Press 2020, ISBN 978-1-64368-134-4 [contents] - [e12]Antonio J. Tallón-Ballesteros, Chi-Hua Chen:
Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020, Virtual Event, October 25-28, 2020. Frontiers in Artificial Intelligence and Applications 332, IOS Press 2020, ISBN 978-1-64368-136-8 [contents] - [e11]Antonio J. Tallón-Ballesteros:
Modern Management based on Big Data I - Proceedings of MMBD 2020, Beijing, China, October 18-21, 2020. Frontiers in Artificial Intelligence and Applications 329, IOS Press 2020, ISBN 978-1-64368-120-7 [contents]
2010 – 2019
- 2019
- [j8]Antonio J. Tallón-Ballesteros:
Metaheuristic algorithm to train product and sigmoid neural network classifiers. Expert Syst. J. Knowl. Eng. 36(3) (2019) - [j7]Ángel Arcos-Vargas, Fernando Nuñez, Antonio J. Tallón-Ballesteros:
Bargains in the diamond market? How to take advantage from online information. Expert Syst. J. Knowl. Eng. 36(5) (2019) - [j6]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz:
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems. Neurocomputing 353: 28-44 (2019) - [c18]Antonio J. Tallón-Ballesteros, Simon Fong, Rocío Leal-Díaz:
Does the Order of Attributes Play an Important Role in Classification? HAIS 2019: 370-380 - [c17]Svetlana Simic, Ljiljana Radmilo, Dragan Simic, Svetislav D. Simic, Antonio J. Tallón-Ballesteros:
Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders. IDEAL (2) 2019: 70-77 - [c16]Antonio J. Tallón-Ballesteros, Luís Cavique, Simon Fong:
Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)? SOCO 2019: 251-260 - [e10]Antonio J. Tallón-Ballesteros:
Fuzzy Systems and Data Mining V - Proceedings of FSDM 2019, Kitakyushu City, Japan, October 18-21, 2019. Frontiers in Artificial Intelligence and Applications 320, IOS Press 2019, ISBN 978-1-64368-018-7 [contents] - [e9]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11871, Springer 2019, ISBN 978-3-030-33606-6 [contents] - [e8]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11872, Springer 2019, ISBN 978-3-030-33616-5 [contents] - 2018
- [c15]Antonio J. Tallón-Ballesteros, Simon James Fong, Raymond Kwok-Kay Wong:
An Empirical Study on Performance Server Analysis and URL Phishing Prevention to Improve System Management Through Machine Learning. GECON 2018: 199-207 - [c14]Antonio J. Tallón-Ballesteros, Luís Correia, Bing Xue:
Featuring the Attributes in Supervised Machine Learning. HAIS 2018: 350-362 - [c13]Eva Tuba, Raka Jovanovic, Marko Beko, Antonio J. Tallón-Ballesteros, Milan Tuba:
Bare Bones Fireworks Algorithm for Medical Image Compression. IDEAL (2) 2018: 262-270 - [c12]Antonio J. Tallón-Ballesteros, Milan Tuba, Bing Xue, Takako Hashimoto:
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. IDEAL (2) 2018: 280-287 - [c11]Zoila Ruiz-Chavez, Jaime Salvador-Meneses, José García Rodríguez, Antonio J. Tallón-Ballesteros:
Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data. IDEAL (2) 2018: 288-295 - [e7]Antonio J. Tallón-Ballesteros, Kaicheng Li:
Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018, Bangkok, Thailand, 16-19 November 2018. Frontiers in Artificial Intelligence and Applications 309, IOS Press 2018, ISBN 978-1-61499-926-3 [contents] - [e6]Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11314, Springer 2018, ISBN 978-3-030-03492-4 [contents] - [e5]Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11315, Springer 2018, ISBN 978-3-030-03495-5 [contents] - 2017
- [c10]Antonio J. Tallón-Ballesteros, Luís Correia, Sung-Bae Cho:
Stochastic and Non-Stochastic Feature Selection. IDEAL 2017: 592-598 - [c9]Pablo Álvarez de Toledo, Fernando Nuñez, Carlos Usabiaga, Antonio J. Tallón-Ballesteros:
Understanding Matching Data Through Their Partial Components. IDEAL 2017: 599-606 - [c8]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap. IWINAC (2) 2017: 531-539 - [c7]Sung-Bae Cho, Antonio J. Tallón-Ballesteros:
Visual Tools to Lecture Data Analytics and Engineering. IWINAC (2) 2017: 551-558 - [c6]Antonio J. Tallón-Ballesteros, Luís Correia:
Medium and high-dimensionality attribute selection in Bayes-type classifiers. IWOBI 2017: 1-6 - [e4]Antonio J. Tallón-Ballesteros, Kaicheng Li:
Fuzzy Systems and Data Mining III - Proceedings of FSDM 2017 [Hualien, Taiwan, November 2017]. Frontiers in Artificial Intelligence and Applications 299, IOS Press 2017, ISBN 978-1-61499-827-3 [contents] - [e3]Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang:
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings. Lecture Notes in Computer Science 10585, Springer 2017, ISBN 978-3-319-68934-0 [contents] - 2016
- [j5]Antonio J. Tallón-Ballesteros:
Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification. AI Commun. 29(3): 469-471 (2016) - [j4]Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez:
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks. Connect. Sci. 28(3): 242-257 (2016) - [c5]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz Sánchez:
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection. HAIS 2016: 136-148 - [e2]Shilei Sun, Antonio J. Tallón-Ballesteros, Dragan Pamucar, Feng Liu:
Fuzzy Systems and Data Mining II - Proceedings of FSDM 2016 [Macau, China, 1-14 December 2016]. Frontiers in Artificial Intelligence and Applications 293, IOS Press 2016, ISBN 978-1-61499-721-4 [contents] - [e1]Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Lecture Notes in Computer Science 9937, Springer 2016, ISBN 978-3-319-46256-1 [contents] - 2015
- [c4]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach. IWINAC (2) 2015: 369-378 - 2014
- [j3]Antonio J. Tallón-Ballesteros:
New training approaches for classification based on evolutionary neural networks. Application to product and sigmoidal units. Inteligencia Artif. 17(54): 30-34 (2014) - [c3]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures. IDEAL 2014: 386-393 - [c2]Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos:
Deleting or keeping outliers for classifier training? NaBIC 2014: 281-286 - [p1]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning. Computational Intelligence in Digital Forensics 2014: 413-428 - 2013
- [j2]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. Neurocomputing 114: 107-117 (2013) - 2012
- [i1]Antonio J. Tallón-Ballesteros, Pedro Antonio Gutiérrez Peña, César Hervás-Martínez:
Distribution of the search of evolutionary product unit neural networks for classification. CoRR abs/1205.3336 (2012) - 2011
- [j1]Antonio J. Tallón-Ballesteros, César Hervás-Martínez:
A two-stage algorithm in evolutionary product unit neural networks for classification. Expert Syst. Appl. 38(1): 743-754 (2011) - [c1]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. IWINAC (2) 2011: 381-390
Coauthor Index
Simon Fong 0001
aka: Simon James Fong
aka: Simon James Fong
José Cristóbal Riquelme Santos
aka: José C. Riquelme
aka: José C. Riquelme
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