| The impact of data normalization on the accuracy of machine learning algorithms: a comparative analysis K Cabello-Solorzano, I Ortigosa de Araujo, M Peña, L Correia, ... International Conference on Soft Computing Models in Industrial and …, 2023 | 86 | 2023 |
| Predicting concentration levels of air pollutants by transfer learning and recurrent neural network IH Fong, T Li, S Fong, RK Wong, AJ Tallon-Ballesteros Knowledge-Based Systems 192, 105622, 2020 | 74 | 2020 |
| Data mining methods applied to a digital forensics task for supervised machine learning AJ Tallón-Ballesteros, JC Riquelme Computational intelligence in digital forensics: forensic investigation and …, 2014 | 74 | 2014 |
| Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks AM Durán-Rosal, C Hervás-Martínez, AJ Tallón-Ballesteros, ... Ocean Engineering 117, 292-301, 2016 | 38 | 2016 |
| Explainable AI: Using Shapley value to explain complex anomaly detection ML-based systems J Zou, O Petrosian Machine learning and artificial intelligence, 152-164, 2020 | 37 | 2020 |
| A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data J Li, Y Wu, S Fong, AJ Tallón-Ballesteros, X Yang, S Mohammed, F Wu The Journal of Supercomputing, 1-36, 2022 | 32 | 2022 |
| Deleting or keeping outliers for classifier training? AJ Tallón-Ballesteros, JC Riquelme 2014 sixth world congress on Nature and Biologically Inspired Computing …, 2014 | 31 | 2014 |
| A two-stage algorithm in evolutionary product unit neural networks for classification AJ Tallón-Ballesteros, C Hervás-Martínez Expert Systems with Applications 38 (1), 743-754, 2011 | 27 | 2011 |
| Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems AJ Tallón-Ballesteros, C Hervás-Martínez, JC Riquelme, R Ruiz Neurocomputing 114, 107-117, 2013 | 26 | 2013 |
| Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems AJ Tallón-Ballesteros, JC Riquelme, R Ruiz Neurocomputing 353, 28-44, 2019 | 19 | 2019 |
| Tackling ant colony optimization meta-heuristic as search method in feature subset selection based on correlation or consistency measures AJ Tallon-Ballesteros, JC Riquelme Intelligent Data Engineering and Automated Learning–IDEAL 2014: 15th …, 2014 | 17 | 2014 |
| A clinical decision support tool to detect invasive ductal carcinoma in histopathological images using support vector machines, Naïve-Bayes, and K-nearest neighbor classifiers KMM Lopez, MSA Magboo Machine Learning and Artificial Intelligence, 46-53, 2020 | 14 | 2020 |
| Exploring the potential of GPT-2 for generating fake reviews of research papers A Bartoli, E Medvet Fuzzy Systems and Data Mining VI, 390-396, 2020 | 12 | 2020 |
| Strategic Analysis for the Installation of Field Hospitals for COVID-19 Control: An Approach Based on P-Median Model AJ Tallón-Ballesteros Modern Management Based on Big Data II and Machine Learning and Intelligent …, 2021 | 11* | 2021 |
| A deep learning approach to recognize human activity using inertial sensors and motion capture systems M Jaén-Vargas, K Reyes Leiva, F Fernandes, SB Gonçalves, ... Fuzzy Systems and Data Mining VII, 250-256, 2021 | 11 | 2021 |
| Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks AJ Tallón-Ballesteros, JC Riquelme, R Ruiz Connection Science 28 (3), 242-257, 2016 | 11 | 2016 |
| Kennard-Stone balance algorithm for time-series big data stream mining T Li, S Fong, Y Wu, AJ Tallón-Ballesteros 2020 International Conference on Data Mining Workshops (ICDMW), 851-858, 2020 | 10 | 2020 |
| Improving the accuracy of a two-stage algorithm in evolutionary product unit neural networks for classification by means of feature selection AJ Tallón-Ballesteros, C Hervás-Martínez, JC Riquelme, R Ruiz New Challenges on Bioinspired Applications: 4th International Work …, 2011 | 10 | 2011 |
| The theoretical basis and landing strategy of the metaverse business model H Cui, B Du Digitalization and Management Innovation, 100-105, 2023 | 9 | 2023 |
| Comparison and Combination of Leaky ReLU and ReLU Activation Function and Three Optimizers on Deep CNN for COVID-19 Detection A Mujhid, S Surono, N Irsalinda, A Thobirin Fuzzy Systems and Data Mining VIII, 50-57, 2022 | 9 | 2022 |
