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ORCIDDaniel Rivero 0001
Daniel Rivero Cebrián
Person information
- affiliation: University of A Coruña, Faculty of Computer Science, CITIC, Spain
Other persons with the same name
- Daniel Rivero 0002 — Technicolor R&I Hannover, Germany
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2020 – today
- 2024
[j23]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)- [i13]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) - [i12]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) - [i11]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
- [j22]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) - [j21]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) - [j20]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) - [i10]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
- [j19]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) - [j18]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) - [j17]Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
DoME: A deterministic technique for equation development and Symbolic Regression. Expert Syst. Appl. 198: 116712 (2022) - [j16]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
- [i9]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) - [i8]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) - [i7]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
- [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [i6]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
- [i5]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) - [i4]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) - [i3]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Classification of Two-channel Signals by Means of Genetic Programming. CoRR abs/1904.05027 (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
- [j10]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
- [j9]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
- [c26]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
- [j8]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) - [j7]Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Julián Dorado:
Classification of signals by means of Genetic Programming. Soft Comput. 17(10): 1929-1937 (2013) - [c25]Vanessa Aguiar-Pulido, Victoria Suárez-Ulloa, Daniel Rivero, José M. Eirín-López, Julián Dorado:
Clustering of Gene Expression Profiles Applied to Marine Research. IWANN (1) 2013: 453-462 - [c24]Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Daniel Rivero, Julián Dorado, Alejandro Pazos:
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) 2013: 401-404 - 2012
- [j6]Daniel Rivero, Ling Guo, José A. Seoane, Julián Dorado:
Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification. IET Signal Process. 6(3): 186-194 (2012) - [c23]Marcos Gestal, Daniel Rivero, Juan Ramón Rabuñal, Julián Dorado, Alejandro Pazos:
Introduction to Informatics for Future Documentalists in the European Higher Education Area. CSEDU (1) 2012: 301-304 - [c22]Pablo Seoane, Marcos Gestal, Julián Dorado, Juan Ramón Rabuñal, Daniel Rivero:
Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems. DCAI 2012: 689-699 - 2011
- [j5]Ling Guo, Daniel Rivero, Julián Dorado, Cristian R. Munteanu, Alejandro Pazos:
Automatic feature extraction using genetic programming: An application to epileptic EEG classification. Expert Syst. Appl. 38(8): 10425-10436 (2011) - [c21]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 - [c20]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 - [c19]Juan R. Rabuñal, Jerónimo Puertas, Daniel Rivero, Ignacio Fraga, Luis Cea, Marta Garrido:
Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin. IWINAC (2) 2011: 223-232 - 2010
- [j4]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Generation and simplification of Artificial Neural Networks by means of Genetic Programming. Neurocomputing 73(16-18): 3200-3223 (2010) - [c18]Marcos Gestal, Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Basics of Web Application Design - An Example-based Learning Approach. CSEDU (1) 2010: 481-484 - [c17]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
- [j3]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Modifying genetic programming for artificial neural network development for data mining. Soft Comput. 13(3): 291-305 (2009) - [c16]Marcos Gestal, Juan R. Rabuñal, Julián Dorado, Daniel Rivero, Alejandro Pazos:
Building the European Higher Education Area - A Subject in Information Systems Security. CSEDU (1) 2009: 398-401 - [c15]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 - [c14]Ling Guo, Daniel Rivero, José A. Seoane, Alejandro Pazos:
Classification of EEG signals using relative wavelet energy and artificial neural networks. GEC Summit 2009: 177-184 - [c13]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. IJCNN 2009: 2685-2692 - [c12]Daniel Rivero, Julián Dorado, Enrique Fernández-Blanco, Alejandro Pazos:
A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) 2009: 391-398 - [r3]Daniel Rivero, Juan R. Rabuñal:
ANN Development with EC Tools. Encyclopedia of Artificial Intelligence 2009: 125-130 - [r2]Daniel Rivero, David Periscal:
Evolving Graphs for ANN Development and Simplification. Encyclopedia of Artificial Intelligence 2009: 618-624 - [r1]Daniel Rivero:
Evolutionary Development of ANNs for Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 829-835 - 2008
- [c11]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs. ECAI 2008: 142-146 - 2007
- [c10]Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. ICANNGA (1) 2007: 276-285 - [c9]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Marcos Gestal:
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems. IWANN 2007: 94-101 - 2005
- [c8]Stefano Cagnoni, Daniel Rivero, Leonardo Vanneschi:
A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. Congress on Evolutionary Computation 2005: 1156-1163 - [c7]Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Time Series Forecast with Anticipation Using Genetic Programming. IWANN 2005: 968-975 - 2004
- [j2]Juan R. Rabuñal, Julián Dorado, Alejandro Pazos, Javier Pereira, Daniel Rivero:
A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP. Neural Comput. 16(7): 1483-1523 (2004) - [c6]Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Using Genetic Programming for Character Discrimination in Damaged Documents. EvoWorkshops 2004: 349-358 - [c5]Juan R. Rabuñal, Julián Dorado, Miguel Varela, Daniel Rivero, Marcos Gestal:
Distributed genetic programming by an object oriented system using java and corba. Parallel and Distributed Computing and Networks 2004: 434-439 - 2003
- [j1]Julián Dorado, Juan R. Rabuñal, Alejandro Pazos, Daniel Rivero, Antonino Santos, Jerónimo Puertas:
Prediction and Modeling of the Rainfall-Runoff Transformation of a Typical Urban Basin Using ANN and GP. Appl. Artif. Intell. 17(4): 329-343 (2003) - [c4]Daniel Rivero, Rafael Vidal, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Restoration of Old Documents with Genetic Algorithms. EvoWorkshops 2003: 432-443 - [c3]Juan R. Rabuñal, Julián Dorado, Alejandro Pazos, Daniel Rivero:
Rules and Generalization Capacity Extraction from ANN with GP. IWANN (1) 2003: 606-613 - 2002
- [c2]Julián Dorado, Juan R. Rabuñal, Jerónimo Puertas, Antonino Santos, Daniel Rivero:
Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming. EvoWorkshops 2002: 190-201 - [c1]Julián Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero:
Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming. PPSN 2002: 485-494
Coauthor Index
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