| A public domain dataset for real-life human activity recognition using smartphone sensors D Garcia-Gonzalez, D Rivero, E Fernandez-Blanco, MR Luaces Sensors 20 (8), 2200, 2020 | 138 | 2020 |
| Automatic assessment of Alzheimer’s disease diagnosis based on deep learning techniques A Puente-Castro, E Fernandez-Blanco, A Pazos, CR Munteanu Computers in biology and medicine 120, 103764, 2020 | 123 | 2020 |
| A review of artificial intelligence applied to path planning in UAV swarms A Puente-Castro, D Rivero, A Pazos, E Fernandez-Blanco Neural Computing and Applications, 2021 | 99 | 2021 |
| Early warning in egg production curves from commercial hens: A SVM approach IR Morales, DR Cebrián, EF Blanco, AP Sierra Computers and electronics in agriculture 121, 169-179, 2016 | 90 | 2016 |
| Drug discovery and design for complex diseases through QSAR computational methods C R Munteanu, E Fernández-Blanco, J A Seoane, P Izquierdo-Novo, ... Current pharmaceutical design 16 (24), 2640-2655, 2010 | 83 | 2010 |
| Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques J Coronel-Reyes, I Ramirez-Morales, E Fernandez-Blanco, D Rivero, ... Computers and Electronics in Agriculture 145, 1-10, 2018 | 78 | 2018 |
| Random Forest Classification based on Star Graph Topological Indices for Antioxidant Proteins E Fernández Blanco, V Aguiar-Pulido, C Robert Munteanu, J Dorado Journal of Theoretical Biology 327, 331-337, 2013 | 60 | 2013 |
| Convolutional neural networks for sleep stage scoring on a two-channel EEG signal E Fernandez-Blanco, D Rivero, A Pazos Soft Computing 24, 4067–4079, 2020 | 47 | 2020 |
| Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution P Mesejo, O Ibáñez, E Fernández-Blanco, F Cedrón, A Pazos, ... International journal of neural systems 25 (4), 1550012, 2015 | 45 | 2015 |
| Optimization of NIR calibration models for multiple processes in the sugar industry I Ramírez-Morales, D Rivero, E Fernández-Blanco, A Pazos Chemometrics and Intelligent Laboratory Systems 159, 45-57, 2016 | 43 | 2016 |
| Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer V Aguiar-Pulido, CR Munteanu, JA Seoane, E Fernández-Blanco, ... Molecular BioSystems 8, 1716-1722, 2012 | 35 | 2012 |
| EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage E Fernandez-Blanco, D Rivero, A Pazos Neurocomputing 410, 220-228, 2020 | 33 | 2020 |
| A new signal classification technique by means of Genetic Algorithms and kNN D Rivero, E Fernandez-Blanco, J Dorado, A Pazos 2011 IEEE Congress of Evolutionary Computation (CEC), 581-586, 2011 | 32 | 2011 |
| Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models C Fernandez-Lozano, RF Cuinas, JA Seoane, E Fernandez-Blanco, ... Journal of theoretical biology 384, 50-58, 2015 | 29 | 2015 |
| New machine learning approaches for real-life human activity recognition using smartphone sensor-based data D Garcia-Gonzalez, D Rivero, E Fernandez-Blanco, MR Luaces Knowledge-Based Systems 262, 110260, 2023 | 27 | 2023 |
| Improving Enzyme Regulatory Protein Classification by means of SVM-RFE Feature Selectio C Fernandez-Lozano, E Fernández-Blanco, K Dave, N Pedreira, M Gestal, ... Molecular BioSystems, 2014 | 26 | 2014 |
| Automated early detection of drops in commercial egg production using neural networks I Ramírez-Morales, E Fernández-Blanco, D Rivero, A Pazos British poultry science 58 (6), 739-747, 2017 | 25 | 2017 |
| Classification of signals by means of Genetic Programming E Fernández-Blanco, D Rivero, M Gestal, J Dorado Soft Computing 17 (10), 1929-1937, 2013 | 24 | 2013 |
| UAV swarm path planning with reinforcement learning for field prospecting A Puente-Castro, D Rivero, A Pazos, E Fernandez-Blanco Applied Intelligence 52 (12), 14101-14118, 2022 | 22 | 2022 |
| A genetic algorithm for ANN design, training and simplification D Rivero, J Dorado, E Fernández-Blanco, A Pazos International Work-Conference on Artificial Neural Networks, 391-398, 2009 | 22 | 2009 |
Daniel RiveroUniversity of A Coruña在 udc.es 的电子邮件经过验证
