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Enrique Fernández-Blanco
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- affiliation: University of A Coruña, Spain
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2020 – today
- 2024
- [j20]Alejandro Puente-Castro, Daniel Rivero, Eurico Farinha Pedrosa, Artur Pereira, Nuno Lau, Enrique Fernández-Blanco:
Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments. Expert Syst. Appl. 235: 121240 (2024) - [i15]Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero:
Machine Learning in management of precautionary closures caused by lipophilic biotoxins. CoRR abs/2402.09266 (2024) - [i14]Andres Molares-Ulloa, Daniel Rivero, Jesús Gil Ruiz, Enrique Fernández-Blanco, Luis de-la-Fuente-Valentín:
Hybrid Machine Learning techniques in the management of harmful algal blooms impact. CoRR abs/2402.09271 (2024) - [i13]Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero, Xosé A. Padin, Rita Nolasco, Jesús Dubert, Enrique Fernández-Blanco:
Harmful algal bloom forecasting. A comparison between stream and batch learning. CoRR abs/2402.13304 (2024) - 2023
- [j19]Andres Molares-Ulloa, Daniel Rivero, Jesús Gil Ruiz, Enrique Fernández-Blanco, Luis de-la-Fuente-Valentín:
Hybrid machine learning techniques in the management of harmful algal blooms impact. Comput. Electron. Agric. 211: 107988 (2023) - [j18]Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces:
Deep learning models for real-life human activity recognition from smartphone sensor data. Internet Things 24: 100925 (2023) - [j17]Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces:
New machine learning approaches for real-life human activity recognition using smartphone sensor-based data. Knowl. Based Syst. 262: 110260 (2023) - [i12]Alejandro Puente-Castro, Daniel Rivero, Eurico Farinha Pedrosa, Artur Pereira, Nuno Lau, Enrique Fernández-Blanco:
Q-learning Based System for Path Planning with UAV Swarms in Obstacle Environments. CoRR abs/2303.17655 (2023) - 2022
- [j16]Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco:
UAV swarm path planning with reinforcement learning for field prospecting. Appl. Intell. 52(12): 14101-14118 (2022) - [j15]Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero:
Machine learning in management of precautionary closures caused by lipophilic biotoxins. Comput. Electron. Agric. 197: 106956 (2022) - [j14]Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
DoME: A deterministic technique for equation development and Symbolic Regression. Expert Syst. Appl. 198: 116712 (2022) - [j13]Enrique Bermejo Nievas, Enrique Fernández-Blanco, Andrea Valsecchi, Pablo Mesejo, Óscar Ibáñez, Kazuhiko Imaizumi:
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. Expert Syst. Appl. 210: 118457 (2022) - [j12]Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco:
A review of artificial intelligence applied to path planning in UAV swarms. Neural Comput. Appl. 34(1): 153-170 (2022) - 2021
- [i11]Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos:
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal. CoRR abs/2103.16215 (2021) - [i10]Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu:
Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques. CoRR abs/2105.08446 (2021) - [i9]Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco:
UAV Swarm Path Planning with Reinforcement Learning for Field prospecting. CoRR abs/2106.02322 (2021) - [i8]Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero:
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. CoRR abs/2107.11045 (2021) - 2020
- [j11]Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu:
Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques. Comput. Biol. Medicine 120: 103764 (2020) - [j10]Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos:
EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage. Neurocomputing 410: 220-228 (2020) - [j9]Daniel Rivero, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos:
Population subset selection for the use of a validation dataset for overfitting control in genetic programming. J. Exp. Theor. Artif. Intell. 32(2): 243-271 (2020) - [j8]Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces:
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. Sensors 20(8): 2200 (2020) - [j7]Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces:
Correction: Garcia-Gonzalez, D.; Rivero, D.; Fernandez-Blanco, E.; Luaces, M.R. A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. Sensors 2020, 20, 2200. Sensors 20(16): 4650 (2020) - [j6]Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos:
Convolutional neural networks for sleep stage scoring on a two-channel EEG signal. Soft Comput. 24(6): 4067-4079 (2020) - [i7]Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos:
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. CoRR abs/2011.13185 (2020)
2010 – 2019
- 2019
- [i6]Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra:
Early warning in egg production curves from commercial hens: A SVM approach. CoRR abs/1904.03987 (2019) - [i5]Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, Cristian R. Munteanu, Julián Dorado:
A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. CoRR abs/1904.04754 (2019) - [i4]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Classification of Two-channel Signals by Means of Genetic Programming. CoRR abs/1904.05027 (2019) - [i3]Carlos Fernandez-Lozano, Ruben F. Cuinas, José A. Seoane, Enrique Fernández-Blanco, Julián Dorado, Cristian R. Munteanu:
Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. CoRR abs/1904.05052 (2019) - [i2]Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
Classical Music Prediction and Composition by means of Variational Autoencoders. CoRR abs/1906.09972 (2019) - [i1]Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
A New Deterministic Technique for Symbolic Regression. CoRR abs/1908.06754 (2019) - 2018
- [j5]Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos:
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. Comput. Electron. Agric. 145: 1-10 (2018) - 2016
- [j4]Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra:
Early warning in egg production curves from commercial hens: A SVM approach. Comput. Electron. Agric. 121: 169-179 (2016) - 2015
- [j3]Pablo Mesejo, Óscar Ibáñez, Enrique Fernández-Blanco, Francisco Cedrón, Alejandro Pazos, Ana Porto Pazos:
Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. Int. J. Neural Syst. 25(4): 1550012:1-1550012:19 (2015) - [c7]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Classification of Two-channel Signals by Means of Genetic Programming. GECCO (Companion) 2015: 1319-1325 - 2013
- [j2]Daniel Rivero, Vanessa Aguiar-Pulido, Enrique Fernández-Blanco, Marcos Gestal:
Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification. Int. J. Data Min. Model. Manag. 5(2): 182-191 (2013) - [j1]Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Julián Dorado:
Classification of signals by means of Genetic Programming. Soft Comput. 17(10): 1929-1937 (2013) - 2011
- [c6]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
A new signal classification technique by means of Genetic Algorithms and kNN. IEEE Congress on Evolutionary Computation 2011: 581-586 - [c5]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Using recurrent ANNs for the detection of epileptic seizures in EEG signals. IEEE Congress on Evolutionary Computation 2011: 587-592 - 2010
- [c4]Marcos Gestal, Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, Julián Dorado:
Two-population Genetic Algorithm - An Approach to Improve the Population Diversity. ICAART (1) 2010: 635-639
2000 – 2009
- 2009
- [c3]Enrique Fernández-Blanco, Julián Dorado, Jose A. Serantes, Daniel Rivero, Juan R. Rabuñal:
Artificial Cells for Information Processing: Iris Classification. ECAL (1) 2009: 44-52 - [c2]Daniel Rivero, Julián Dorado, Enrique Fernández-Blanco, Alejandro Pazos:
A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) 2009: 391-398 - [r3]Enrique Fernández-Blanco, Julián Dorado de la Calle:
Computer Morphogenesis in Self-Organizing Structures. Encyclopedia of Artificial Intelligence 2009: 377-382 - [r2]Enrique Fernández-Blanco, Jose A. Serantes:
Gene Regulation Network Use for Information Processing. Encyclopedia of Artificial Intelligence 2009: 744-747 - [r1]Pablo Mesejo, Enrique Fernández-Blanco, Diego Martínez-Feijóo, Francisco Blanco:
2D-PAGE Analysis Using Evolutionary Computation. Encyclopedia of Artificial Intelligence 2009: 1583-1588 - 2007
- [c1]Enrique Fernández-Blanco, Julián Dorado, Juan R. Rabuñal, Marcos Gestal, Nieves Pedreira:
A Computational Morphogenesis Approach to Simple Structure Development. ECAL 2007: 825-834
Coauthor Index
aka: Julián Dorado de la Calle
aka: Alejandro Pazos Sierra
aka: Daniel Rivero Cebrián
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last updated on 2024-06-10 21:24 CEST by the dblp team
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