| A survey of handwritten character recognition with MNIST and EMNIST A Baldominos, Y Saez, P Isasi Applied Sciences 9 (15), 3169, 2019 | 329 | 2019 |
| Evolutionary Convolutional Neural Networks: an Application to Handwriting Recognition A Baldominos, Y Saez, P Isasi Neurocomputing 283, 38-52, 2018 | 206 | 2018 |
| Identifying real estate opportunities using machine learning A Baldominos, I Blanco, AJ Moreno, R Iturrarte, Ó Bernárdez, C Afonso Applied sciences 8 (11), 2321, 2018 | 186 | 2018 |
| Coin. AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learning A Baldominos, Y Saez Entropy 21 (8), 723, 2019 | 111 | 2019 |
| An approach to physical rehabilitation using state-of-the-art virtual reality and motion tracking technologies A Baldominos, Y Saez, C García del Pozo Procedia Computer Science 64, 10-16, 2015 | 107 | 2015 |
| A comparison of machine learning and deep learning techniques for activity recognition using mobile devices A Baldominos, A Cervantes, Y Saez, P Isasi Sensors 19 (3), 521, 2019 | 88 | 2019 |
| A comparison study of classifier algorithms for cross-person physical activity recognition Y Saez, A Baldominos, P Isasi Sensors 17 (1), 66, 2016 | 81 | 2016 |
| A scalable machine learning online service for big data real-time analysis A Baldominos, E Albacete, Y Saez, P Isasi IEEE Symposium on Computational Intelligence in Big Data (CIBD 2014), 1-8, 2014 | 72 | 2014 |
| Digital teaching materials and their relationship with the metacognitive skills of students in primary education N Lara Nieto-Márquez, A Baldominos, MÁ Pérez-Nieto Education Sciences 10 (4), 113, 2020 | 66 | 2020 |
| On the automated, evolutionary design of neural networks: past, present, and future A Baldominos, Y Saez, P Isasi Neural Computing and Applications 32 (2), 519–545, 2020 | 62 | 2020 |
| Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments A Baldominos, Y Saez, P Isasi Sensors 18 (4), 1288, 2018 | 55 | 2018 |
| Hybridizing evolutionary computation and deep neural networks: an approach to handwriting recognition using committees and transfer learning A Baldominos, Y Saez, P Isasi Complexity 2019 (1), 2952304, 2019 | 48 | 2019 |
| DataCare: Big Data Analytics Solution for Intelligent Healthcare Management A Baldominos, F De Rada, Y Saez International Journal of Interactive Multimedia and Artificial Intelligence …, 2017 | 40 | 2017 |
| Predicting Infections using Computational Intelligence – A Systematic Review A Baldominos, A Puello, H Ogul, T Asuroglu, R Colomo-Palacios IEEE Access 8 (1), 2020 | 36 | 2020 |
| Optimizing EEG energy-based seizure detection using genetic algorithms A Baldominos, C Ramón-Lozano IEEE Congress on Evolutionary Computation (CEC), 2338-2345, 2017 | 23 | 2017 |
| Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms A Baldominos, Y Saez, P Isasi Lecture Notes in Computer Science 11314, 2019 | 17 | 2019 |
| Feature selection for physical activity recognition using genetic algorithms A Baldominos, P Isasi, Y Saez IEEE Congress on Evolutionary Computation (CEC), 2185-2192, 2017 | 17 | 2017 |
| Feature set optimization for physical activity recognition using genetic algorithms A Baldominos, Y Saez, P Isasi Genetic and Evolutionary Computation Conference (GECCO), 1311-1318, 2015 | 17 | 2015 |
| An Exploratory Analysis of the Implementation and Use of an Intelligent Platform for Learning in Primary Education N Lara Nieto-Márquez, A Baldominos, A Cardeña Martínez, ... Applied Sciences 10 (3), 983, 2020 | 15 | 2020 |
| Improving Children’s Experience on a Mobile EdTech Platform through a Recommender System A Ruiz-Iniesta, L Melgar, A Baldominos, D Quintana Mobile Information Systems 2018, 1374017, 2018 | 15 | 2018 |
Yago SaezUniversity Carlos III of MadridVerified email at inf.uc3m.es
