Enrique Fernández-Blanco

50 papers B 2Journal 40Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advanced ocean modelling and machine learning to forecast Dinophysis acuminata blooms: A tool to support shellfish farming management. Ecol. Informatics Elisabet Rocruz, Andres Molares-Ulloa, Xosé A. Padin, Rita Nolasco, Daniel Rivero, Enrique Fernández-Blanco, Yolanda Pazos, Jesús Dubert
2025	J	`jnl`	Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models. CoRR Alejandro Puente-Castro, Enrique Fernández-Blanco, Daniel Rivero, Andres Molares-Ulloa
2025	J	`jnl`	Ensemble of convolution neural networks on heterogeneous signals for sleep stage scoring. Multim. Tools Appl. Enrique Fernández-Blanco, Brais Galdo, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero
2025	J	`jnl`	Towards improved harmful algal bloom forecasts: A comparison of symbolic regression with DoME and stream learning performance. Comput. Electron. Agric. Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero, Xosé A. Padin, Rita Nolasco, Jesús Dubert, Enrique Fernández-Blanco
2024	J	`jnl`	Genetic Algorithm Based System for Path Planning with Unmanned Aerial Vehicles Swarms in Cell-Grid Environments. CoRR Alejandro Puente-Castro, Enrique Fernández-Blanco, Daniel Rivero
2024	J	`jnl`	Harmful algal bloom forecasting. A comparison between stream and batch learning. CoRR Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero, Xosé A. Padin, Rita Nolasco, Jesús Dubert, Enrique Fernández-Blanco
2024	J	`jnl`	Hybrid Machine Learning techniques in the management of harmful algal blooms impact. CoRR Andres Molares-Ulloa, Daniel Rivero, Jesús Gil Ruiz, Enrique Fernández-Blanco, Luis de-la-Fuente-Valentín
2024	J	`jnl`	Machine Learning in management of precautionary closures caused by lipophilic biotoxins. CoRR Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero
2024	J	`jnl`	Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments. Expert Syst. Appl. Alejandro Puente-Castro, Daniel Rivero, Eurico Farinha Pedrosa, Artur Pereira, Nuno Lau, Enrique Fernández-Blanco
2023	J	`jnl`	Deep learning models for real-life human activity recognition from smartphone sensor data. Internet Things Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
2023	J	`jnl`	Hybrid machine learning techniques in the management of harmful algal blooms impact. Comput. Electron. Agric. Andres Molares-Ulloa, Daniel Rivero, Jesús Gil Ruiz, Enrique Fernández-Blanco, Luis de-la-Fuente-Valentín
2023	J	`jnl`	New machine learning approaches for real-life human activity recognition using smartphone sensor-based data. Knowl. Based Syst. Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
2023	J	`jnl`	Q-learning Based System for Path Planning with UAV Swarms in Obstacle Environments. CoRR Alejandro Puente-Castro, Daniel Rivero, Eurico Farinha Pedrosa, Artur Pereira, Nuno Lau, Enrique Fernández-Blanco
2022	J	`jnl`	A review of artificial intelligence applied to path planning in UAV swarms. Neural Comput. Appl. Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco
2022	J	`jnl`	DoME: A deterministic technique for equation development and Symbolic Regression. Expert Syst. Appl. Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos
2022	J	`jnl`	FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. Expert Syst. Appl. Enrique Bermejo Nievas, Enrique Fernández-Blanco, Andrea Valsecchi, Pablo Mesejo, Óscar Ibáñez, Kazuhiko Imaizumi
2022	J	`jnl`	Machine learning in management of precautionary closures caused by lipophilic biotoxins. Comput. Electron. Agric. Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero
2022	J	`jnl`	UAV swarm path planning with reinforcement learning for field prospecting. Appl. Intell. Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco
2021	J	`jnl`	Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques. CoRR Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu
2021	J	`jnl`	Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal. CoRR Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos
2021	J	`jnl`	Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. CoRR Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero
2021	J	`jnl`	UAV Swarm Path Planning with Reinforcement Learning for Field prospecting. CoRR Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco
2020	J	`jnl`	A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. Sensors Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
2020	J	`jnl`	Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques. Comput. Biol. Medicine Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu
2020	J	`jnl`	Convolutional neural networks for sleep stage scoring on a two-channel EEG signal. Soft Comput. Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos
2020	J	`jnl`	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 Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
2020	J	`jnl`	Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. CoRR Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos
2020	J	`jnl`	EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage. Neurocomputing Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos
2020	J	`jnl`	Population subset selection for the use of a validation dataset for overfitting control in genetic programming. J. Exp. Theor. Artif. Intell. Daniel Rivero, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos
2019	J	`jnl`	A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. CoRR Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, Cristian R. Munteanu, Julián Dorado
2019	J	`jnl`	A New Deterministic Technique for Symbolic Regression. CoRR Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos
2019	J	`jnl`	Classical Music Prediction and Composition by means of Variational Autoencoders. CoRR Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos
2019	J	`jnl`	Classification of Two-channel Signals by Means of Genetic Programming. CoRR Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos
2019	J	`jnl`	Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. CoRR Carlos Fernandez-Lozano, Ruben F. Cuinas, José A. Seoane, Enrique Fernández-Blanco, Julián Dorado, Cristian R. Munteanu
2019	J	`jnl`	Early warning in egg production curves from commercial hens: A SVM approach. CoRR Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra
2018	J	`jnl`	Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. Comput. Electron. Agric. Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos
2016	J	`jnl`	Early warning in egg production curves from commercial hens: A SVM approach. Comput. Electron. Agric. Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra
2015	J	`jnl`	Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. Int. J. Neural Syst. Pablo Mesejo, Óscar Ibáñez, Enrique Fernández-Blanco, Francisco Cedrón, Alejandro Pazos, Ana Porto Pazos
2015	—	`conf`	Classification of Two-channel Signals by Means of Genetic Programming. GECCO (Companion) Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos
2013	J	`jnl`	Classification of signals by means of Genetic Programming. Soft Comput. Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Julián Dorado
2013	J	`jnl`	Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification. Int. J. Data Min. Model. Manag. Daniel Rivero, Vanessa Aguiar-Pulido, Enrique Fernández-Blanco, Marcos Gestal
2011	B	`conf`	A new signal classification technique by means of Genetic Algorithms and kNN. IEEE Congress on Evolutionary Computation Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos
2011	B	`conf`	Using recurrent ANNs for the detection of epileptic seizures in EEG signals. IEEE Congress on Evolutionary Computation Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos
2010	—	`conf`	Two-population Genetic Algorithm - An Approach to Improve the Population Diversity. ICAART (1) Marcos Gestal, Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, Julián Dorado
2009	—	`ch.`	2D-PAGE Analysis Using Evolutionary Computation. Encyclopedia of Artificial Intelligence Pablo Mesejo, Enrique Fernández-Blanco, Diego Martínez-Feijóo, Francisco Blanco
2009	—	`conf`	A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) Daniel Rivero, Julián Dorado, Enrique Fernández-Blanco, Alejandro Pazos
2009	—	`conf`	Artificial Cells for Information Processing: Iris Classification. ECAL (1) Enrique Fernández-Blanco, Julián Dorado, Jose A. Serantes, Daniel Rivero, Juan R. Rabuñal
2009	—	`ch.`	Computer Morphogenesis in Self-Organizing Structures. Encyclopedia of Artificial Intelligence Enrique Fernández-Blanco, Julián Dorado de la Calle
2009	—	`ch.`	Gene Regulation Network Use for Information Processing. Encyclopedia of Artificial Intelligence Enrique Fernández-Blanco, Jose A. Serantes
2007	—	`conf`	A Computational Morphogenesis Approach to Simple Structure Development. ECAL Enrique Fernández-Blanco, Julián Dorado, Juan R. Rabuñal, Marcos Gestal, Nieves Pedreira