| Do we need hundreds of classifiers to solve real world classification problems? M Fernández-Delgado, E Cernadas, S Barro, D Amorim The journal of machine learning research 15 (1), 3133-3181, 2014 | 4406 | 2014 |
| An extensive experimental survey of regression methods M Fernández-Delgado, MS Sirsat, E Cernadas, S Alawadi, S Barro, ... Neural Networks 111, 11-34, 2019 | 342 | 2019 |
| AI literacy in K-12: a systematic literature review L Casal-Otero, A Catala, C Fernández-Morante, M Taboada, B Cebreiro, ... International Journal of STEM Education 10 (1), 29, 2023 | 260 | 2023 |
| Algorithmic sequential decision-making in the frequency domain for life threatening ventricular arrhythmias and imitative artefacts: a diagnostic system S Barro, R Ruiz, D Cabello, J Mira Journal of biomedical engineering 11 (4), 320-328, 1989 | 229 | 1989 |
| Fuzzy logic in medicine S Barro, R Marín Springer Science & Business Media, 2001 | 213 | 2001 |
| Fuzzy reasoning supported by Petri nets AJ Bugarin, S Barro IEEE Transactions on Fuzzy Systems 2 (2), 135-150, 1994 | 186 | 1994 |
| People and machines: Partners in innovation S Barro, TH Davenport MIT Sloan Management Review 60 (4), 22-28, 2019 | 164 | 2019 |
| A model and a language for the fuzzy representation and handling of time S Barro, R Marin, J Mira, AR Patón Fuzzy sets and Systems 61 (2), 153-175, 1994 | 146 | 1994 |
| Linguistic descriptions for automatic generation of textual short-term weather forecasts on real prediction data A Ramos-Soto, AJ Bugarin, S Barro, J Taboada IEEE Transactions on Fuzzy Systems 23 (1), 44-57, 2014 | 145 | 2014 |
| Classifying multichannel ECG patterns with an adaptive neural network S Barro, M Fernandez-Delgado, JA Vila-Sobrino, CV Regueiro, ... IEEE Engineering in Medicine and Biology Magazine 17 (1), 45-55, 1998 | 138 | 1998 |
| Time-frequency analysis of heart-rate variability J Vila, F Palacios, J Presedo, M Fernandez-Delgado, P Felix, S Barro IEEE Engineering in Medicine and Biology Magazine 16 (5), 119-126, 1997 | 138 | 1997 |
| Design of a fuzzy controller in mobile robotics using genetic algorithms M Mucientes, DL Moreno, A Bugarín, S Barro Applied Soft Computing 7 (2), 540-546, 2007 | 121 | 2007 |
| Las tecnologías de la información y las comunicaciones en el sistema universitario español S Barro, SF López | 120 | 2004 |
| A new approach for TU complex characterization JA Vila, Y Gang, JMR Presedo, M Fernández-Delgado, S Barro, M Malik IEEE Transactions on Biomedical Engineering 47 (6), 764-772, 2000 | 118 | 2000 |
| La transferencia de I+ D, la innovación y el emprendimiento en las universidades Educación superior en Iberoamérica Informe 2015 S Barro Chile: Centro Interuniversitario de Desarrollo (CINDA), 541, 2015 | 110 | 2015 |
| On the role of linguistic descriptions of data in the building of natural language generation systems A Ramos-Soto, A Bugarín, S Barro Fuzzy Sets and Systems 285, 31-51, 2016 | 106 | 2016 |
| Intelligent telemonitoring of critical-care patients S Barro, J Presedo, D Castro, M Fernandez-Delgado, S Fraga, M Lama, ... IEEE Engineering in medicine and biology magazine 18 (4), 80-88, 1999 | 103 | 1999 |
| Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods MS Sirsat, E Cernadas, M Fernández-Delgado, S Barro Computers and electronics in agriculture 154, 120-133, 2018 | 93 | 2018 |
| Non-iid data and continual learning processes in federated learning: A long road ahead MF Criado, FE Casado, R Iglesias, CV Regueiro, S Barro Information Fusion 88, 263-280, 2022 | 87 | 2022 |
| Concept drift detection and adaptation for federated and continual learning FE Casado, D Lema, MF Criado, R Iglesias, CV Regueiro, S Barro Multimedia Tools and Applications, 1-23, 2022 | 78 | 2022 |
Manuel Fernández DelgadoUniversity of Santiago de CompostelaDirección de correo verificada de usc.es
