Daniel Rivero - RankMe

66 papers A 2B 4Misc 3Journal 37Unranked 17

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`	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`	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`	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
2015	—	`conf`	Classification of Two-channel Signals by Means of Genetic Programming. GECCO (Companion) Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos
2013	—	`conf`	A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms. VISAPP (1) Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Daniel Rivero, 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	—	`conf`	Clustering of Gene Expression Profiles Applied to Marine Research. IWANN (1) Vanessa Aguiar-Pulido, Victoria Suárez-Ulloa, Daniel Rivero, José M. Eirín-López, 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
2012	Misc	`conf`	Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems. DCAI Pablo Seoane, Marcos Gestal, Julián Dorado, Juan Ramón Rabuñal, Daniel Rivero
2012	—	`conf`	Introduction to Informatics for Future Documentalists in the European Higher Education Area. CSEDU (1) Marcos Gestal, Daniel Rivero, Juan Ramón Rabuñal, Julián Dorado, Alejandro Pazos
2012	J	`jnl`	Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification. IET Signal Process. Daniel Rivero, Ling Guo, José A. Seoane, Julián Dorado
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	J	`jnl`	Automatic feature extraction using genetic programming: An application to epileptic EEG classification. Expert Syst. Appl. Ling Guo, Daniel Rivero, Julián Dorado, Cristian R. Munteanu, Alejandro Pazos
2011	—	`conf`	Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin. IWINAC (2) Juan R. Rabuñal, Jerónimo Puertas, Daniel Rivero, Ignacio Fraga, Luis Cea, Marta Garrido
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`	Basics of Web Application Design - An Example-based Learning Approach. CSEDU (1) Marcos Gestal, Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos
2010	J	`jnl`	Generation and simplification of Artificial Neural Networks by means of Genetic Programming. Neurocomputing Daniel Rivero, Julián Dorado, Juan R. Rabuñal, 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	—	`conf`	A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) Daniel Rivero, Julián Dorado, Enrique Fernández-Blanco, Alejandro Pazos
2009	—	`ch.`	ANN Development with EC Tools. Encyclopedia of Artificial Intelligence Daniel Rivero, Juan R. Rabuñal
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	—	`conf`	Building the European Higher Education Area - A Subject in Information Systems Security. CSEDU (1) Marcos Gestal, Juan R. Rabuñal, Julián Dorado, Daniel Rivero, Alejandro Pazos
2009	—	`conf`	Classification of EEG signals using relative wavelet energy and artificial neural networks. GEC Summit Ling Guo, Daniel Rivero, José A. Seoane, Alejandro Pazos
2009	—	`ch.`	Evolutionary Development of ANNs for Data Mining. Encyclopedia of Data Warehousing and Mining Daniel Rivero
2009	—	`ch.`	Evolving Graphs for ANN Development and Simplification. Encyclopedia of Artificial Intelligence Daniel Rivero, David Periscal
2009	B	`conf`	Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. IJCNN Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos
2009	J	`jnl`	Modifying genetic programming for artificial neural network development for data mining. Soft Comput. Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos
2008	A	`conf`	Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs. ECAI Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos
2007	Misc	`conf`	A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems. IWANN Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Marcos Gestal
2007	—	`conf`	Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. ICANNGA (1) Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos
2005	B	`conf`	A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. Congress on Evolutionary Computation Stefano Cagnoni, Daniel Rivero, Leonardo Vanneschi
2005	Misc	`conf`	Time Series Forecast with Anticipation Using Genetic Programming. IWANN Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos
2004	J	`jnl`	A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP. Neural Comput. Juan R. Rabuñal, Julián Dorado, Alejandro Pazos, Javier Pereira, Daniel Rivero
2004	—	`conf`	Distributed genetic programming by an object oriented system using java and corba. Parallel and Distributed Computing and Networks Juan R. Rabuñal, Julián Dorado, Miguel Varela, Daniel Rivero, Marcos Gestal
2004	—	`conf`	Using Genetic Programming for Character Discrimination in Damaged Documents. EvoWorkshops Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos
2003	J	`jnl`	Prediction and Modeling of the Rainfall-Runoff Transformation of a Typical Urban Basin Using ANN and GP. Appl. Artif. Intell. Julián Dorado, Juan R. Rabuñal, Alejandro Pazos, Daniel Rivero, Antonino Santos, Jerónimo Puertas
2003	—	`conf`	Restoration of Old Documents with Genetic Algorithms. EvoWorkshops Daniel Rivero, Rafael Vidal, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos
2003	—	`conf`	Rules and Generalization Capacity Extraction from ANN with GP. IWANN (1) Juan R. Rabuñal, Julián Dorado, Alejandro Pazos, Daniel Rivero
2002	A	`conf`	Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming. PPSN Julián Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero
2002	—	`conf`	Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming. EvoWorkshops Julián Dorado, Juan R. Rabuñal, Jerónimo Puertas, Antonino Santos, Daniel Rivero