| A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study PJG Nieto, EF Combarro, JJ del Coz Díaz, E Montañés Applied Mathematics and Computation 219 (17), 8923-8937, 2013 | 153 | 2013 |
| Introducing a family of linear measures for feature selection in text categorization EF Combarro, E Montanes, I Diaz, J Ranilla, R Mones IEEE transactions on Knowledge and Data Engineering 17 (9), 1223-1232, 2005 | 121 | 2005 |
| Quantum computing for high-energy physics: State of the art and challenges A Di Meglio, K Jansen, I Tavernelli, C Alexandrou, S Arunachalam, ... PRX Quantum 5 (3), 037001, 2024 | 116* | 2024 |
| Identification of fuzzy measures from sample data with genetic algorithms EF Combarro, P Miranda Computers & Operations Research 33 (10), 3046-3066, 2006 | 82 | 2006 |
| Scoring and selecting terms for text categorization E Montanes, I Diaz, J Ranilla, EF Combarro, J Fernandez IEEE Intelligent Systems 20 (3), 40-47, 2005 | 67 | 2005 |
| A Practical Guide to Quantum Machine Learning and Quantum Optimization: Hands-on Approach to Modern Quantum Algorithms EF Combarro, S González-Castillo Packt Publising, ISBN: 978-1804613832, 2023 | 60 | 2023 |
| A review on reversible quantum adders F Orts, G Ortega, EF Combarro, EM Garzón Journal of Network and Computer Applications 170, 102810, 2020 | 57 | 2020 |
| Higgs analysis with quantum classifiers V Belis, S González-Castillo, C Reissel, S Vallecorsa, EF Combarro, ... EPJ Web of Conferences 251, 03070, 2021 | 52 | 2021 |
| A study of the performance of classical minimizers in the quantum approximate optimization algorithm M Fernández-Pendás, EF Combarro, S Vallecorsa, J Ranilla, IF Rúa Journal of Computational and Applied Mathematics 404, 113388, 2022 | 50 | 2022 |
| Improving performance of text categorization by combining filtering and support vector machines I Díaz, J Ranilla, E Montañes, J Fernández, EF Combarro Journal of the American society for information science and technology 55 (7 …, 2004 | 48 | 2004 |
| Classification of semifields of order 64 IF Rúa, EF Combarro, J Ranilla Journal of Algebra 322 (11), 4011-4029, 2009 | 45 | 2009 |
| Extreme points of some families of non-additive measures P Miranda, EF Combarro, P Gil European journal of operational research 174 (3), 1865-1884, 2006 | 43 | 2006 |
| Machine learning applied to the prediction of citrus production SID Rodríguez, SM Mazza, EFC Álvarez, LI Giménez, JE Gaiad Spanish journal of agricultural research 15 (2), 7, 2017 | 41 | 2017 |
| Measures of rule quality for feature selection in text categorization E Montanés, J Fernández, I Díaz, EF Combarro, J Ranilla international Symposium on Intelligent data analysis, 589-598, 2003 | 33 | 2003 |
| Dual-parameterized quantum circuit GAN model in high energy physics SY Chang, S Herbert, S Vallecorsa, EF Combarro, R Duncan EPJ Web of Conferences 251, 03050, 2021 | 30 | 2021 |
| On random generation of fuzzy measures EF Combarro, I Díaz, P Miranda Fuzzy Sets and Systems 228, 64-77, 2013 | 29 | 2013 |
| On the polytope of non-additive measures EF Combarro, P Miranda Fuzzy Sets and Systems 159 (16), 2145-2162, 2008 | 24 | 2008 |
| Minimals plus: an improved algorithm for the random generation of linear extensions of partially ordered sets EF Combarro, JH de Saracho, I Díaz Information Sciences 501, 50-67, 2019 | 23 | 2019 |
| Automatic arable land detection with supervised machine learning RB Arango, I Díaz, A Campos, ER Canas, EF Combarro Earth Science Informatics 9 (4), 535-545, 2016 | 22 | 2016 |
| Mapping cultivable land from satellite imagery with clustering algorithms RB Arango, AM Campos, EF Combarro, ER Canas, I Díaz International Journal of Applied Earth Observation and Geoinformation 49, 99-106, 2016 | 22 | 2016 |
José RanillaUniversidad de Oviedo在 uniovi.es 的电子邮件经过验证
