| Artificial astrocytes improve neural network performance AB Porto-Pazos, N Veiguela, P Mesejo, M Navarrete, A Alvarellos, ... PloS one 6 (4), e19109, 2011 | 80 | 2011 |
| Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks A Alvarellos-González, A Pazos, AB Porto-Pazos Computational and mathematical methods in medicine 2012, 2012 | 39 | 2012 |
| Encyclopedia of artificial intelligence JRR Dopico, J Dorado, AP Sierra, JR Rabunal Information Science Reference, 2009 | 26 | 2009 |
| Encyclopedia of artificial intelligence JR Rabunal, J Dorado, AP Sierra IGI Global, 2009 | 13 | 2009 |
| Advancing artificial intelligence through biological process applications AB Porto Pazos, A Pazos Sierra IGI Global, 2008 | 11 | 2008 |
| Artificial neuroglial networks ABP Pazos, AA González, FM Pazos Encyclopedia of Artificial Intelligence, 167-171, 2009 | 5 | 2009 |
| Developing a secure low-cost radon monitoring system A Alvarellos, M Gestal, J Dorado, JR Rabuñal Sensors 20 (3), 752, 2020 | 4 | 2020 |
| Operational thresholds of moored ships at the oil terminal of inner port of A Coruña (Spain) A Figuero, J Sande, E Peña, A Alvarellos, JR Rabuñal, E Maciñeira Ocean Engineering 172, 599-613, 2019 | 4 | 2019 |
| Modeling of Energy Efficiency for Residential Buildings Using Artificial Neuronal Networks JA Alvarez, JR Rabuñal, D Garcia-Vidaurrazaga, A Alvarellos, A Pazos Advances in Civil Engineering 2018, 2018 | 4 | 2018 |
| Application of an analytic methodology to estimate the movements of moored vessels based on forecast data J Sande, A Figuero, J Tarrío-Saavedra, E Peña, A Alvarellos, JR Rabuñal Water 11 (9), 1841, 2019 | 2 | 2019 |
| Deep Learning Based Ship Movement Prediction System Architecture A Alvarellos, A Figuero, J Sande, E Peña, J Rabuñal International Work-Conference on Artificial Neural Networks, 844-855, 2019 | 2 | 2019 |
| Application of scanning techniques for damage analysis in rubble mound breakwaters J Sande, E Peña, MG Neves, R Lemos, A Figuero, MT Reis, A Alvarellos, ... 7th International Conference on Physical Modelling in Coastal Science and …, 2018 | 2 | 2018 |
| The ability of MEAs containing cultured neuroglial networks to process information A Alvarellos, N Veiguela, C R Munteanu, J Dorado, A Pazos, ... Current Bioinformatics 6 (2), 199-214, 2011 | 2 | 2011 |
| Indicators Framework for Sustainable Urban Design A López Chao, A Casares Gallego, V Lopez-Chao, A Alvarellos Atmosphere 11 (1143), 2020 | 1 | 2020 |
| Measuring Armour Layer Damage in Rubble-Mound Breakwaters under Oblique Wave Incidence R Lemos, MT Reis, CJ Fortes, E Peña, J Sande, A Figuero, A Alvarellos, ... Coastal Structures 2019, 295-305, 2019 | 1 | 2019 |
| 3-D Scale Model Study of Wave Run-Up, Overtopping and Damage in a Rubble-Mound Breakwater Subject to Oblique Extreme Wave Conditions JA Santos, F Pedro, M Coimbra, A Figuero, CJEM Fortes, J Sande, ... Defect and Diffusion Forum 396, 32-41, 2019 | 1 | 2019 |
| Raspberry pimu: Raspberry pi based inertial sensor data processing system A Alvarellos, A Vázquez, J Rabuñal Multidisciplinary Digital Publishing Institute Proceedings 2 (18), 1159, 2018 | 1 | 2018 |
| LPWAN in Civil Engineering: An Overtopping Detection System Application AA González, JR Dopico Principles and Applications of Narrowband Internet of Things (NBIoT), 223-244, 2021 | | 2021 |
| Developing an Open-Source, Low-Cost, Radon Monitoring System A Alvarellos, JR Rabuñal Multidisciplinary Digital Publishing Institute Proceedings 54 (1), 41, 2020 | | 2020 |
| XoveTIC 2019 AA González, JJ de Moura Ramos, BB Barreiro, JP Loureiro, ... MDPI, 2019 | | 2019 |
