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Author search results
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- Daniel Rivero 0001
aka: Daniel Rivero Cebrián
University of A Coruña, Faculty of Computer Science, CITIC, Spain - Daniel Rivero 0002
Technicolor R&I Hannover, Germany
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Publication search results
found 192 matches
- 2024
- Rafael E. Tuirán Villalba, Heriberto Maury Ramírez, Héctor Águila Estrada, José A. Oñate López, AndréS F. Ruge González, Katerin Osorio Barrera, Luis G. Riveros Almanza, Daniel E. Espinosa Corrales:
Effect of Combined Misalignments on Vibrations of a Single-Stage Spur Gear Transmission System: An Experimental Approach. IEEE Access 12: 50030-50043 (2024) - Diego Mañanes, Inés Rivero-García, Carlos Relaño, Miguel Torres, David Sancho, Daniel Jimenez-Carretero, Carlos Torroja Fungairino, Fátima Sánchez-Cabo:
SpatialDDLS: an R package to deconvolute spatial transcriptomics data using neural networks. Bioinform. 40(2) (2024) - 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) - 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) - 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) - 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
- 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) - Alain Sebastian Martinez, Erik Hernandez-Rodríguez, Luis Hernández Santana, Olivier Schalm, Rosa Amalia González-Rivero, Daniellys Alejo-Sánchez:
Design of a Low-Cost System for the Measurement of Variables Associated With Air Quality. IEEE Embed. Syst. Lett. 15(2): 105-108 (2023) - J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, M. A. Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - 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) - 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) - Erik Hernandez-Rodríguez, Rosa Amalia González-Rivero, Olivier Schalm, Alain Sebastian Martinez, Luis Hernández Santana, Daniellys Alejo-Sánchez, Tim Janssens, Werner Jacobs:
Reliability Testing of a Low-Cost, Multi-Purpose Arduino-Based Data Logger Deployed in Several Applications Such as Outdoor Air Quality, Human Activity, Motion, and Exhaust Gas Monitoring. Sensors 23(17): 7412 (2023) - Fernando Sola, Daniel Ayala, Rafael Ayala, Inma Hernández, Carlos R. Rivero, David Ruiz:
AYNEXT - tools for streamlining the evaluation of link prediction techniques. SoftwareX 23: 101474 (2023) - Fernando Lobato Alejano, Daniel Hernández de La Iglesia, Mariano Raboso Mateos, Alfonso José López Rivero, Valderi Reis Quietinho Leithardt:
Enhancing the interoperability of heterogeneous hardware in the Industry: a Multi-Agent System Proposal. CIoT 2023: 157-162 - Daniel Hernández de La Iglesia, Fernando Lobato Alejano, Alejandro H. De La Iglesia, Héctor Sánchez San Blas, Luis Augusto Silva, Alfonso José López Rivero:
Design of a low-cost IoT device for the estimation of the state-of-health (SOH) of reused lithium batteries. CIoT 2023: 171-175 - Carlos Alberto Díaz Riveros, Andrés Cuesta Veleño, Julieta Frediani, Rocio Rodriguez Tarducci, Daniela Cortizo:
Comparative Analysis of Spatial and Environmental Data in Informal Settlements, from Point Clouds and RPAS Images. ICAI 2023: 293-308 - Javier Sanchez-Rivero, Daniel Talaván, José García-Alonso, Antonio Ruiz-Cortés, Juan Manuel Murillo:
Automatic Generation of an Efficient Less-Than Oracle for Quantum Amplitude Amplification. Q-SE@ICSE 2023: 26-33 - Javier Sanchez-Rivero, Daniel Talaván, José García-Alonso, Antonio Ruiz-Cortés, Juan Manuel Murillo:
Some Initial Guidelines for Building Reusable Quantum Oracles. ICSOC Workshops 2023: 197-208 - Javier Sanchez-Rivero, Daniel Talaván, José García-Alonso, Antonio Ruiz-Cortés, Juan Manuel Murillo:
Automatic Generation of an Efficient Less-Than Oracle for Quantum Amplitude Amplification. CoRR abs/2303.07120 (2023) - Javier Sanchez-Rivero, Daniel Talaván, José García-Alonso, Antonio Ruiz-Cortés, Juan Manuel Murillo:
Some Initial Guidelines for Building Reusable Quantum Oracles. CoRR abs/2303.14959 (2023) - 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
- 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) - 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) - Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
DoME: A deterministic technique for equation development and Symbolic Regression. Expert Syst. Appl. 198: 116712 (2022) - Alba Nogueira-Rodríguez, Rubén Domínguez-Carbajales, Fernando Campos-Tato, Jesús Herrero, Manuel Puga, David Remedios, Laura Rivas, Eloy Sánchez, Águeda Iglesias, Joaquín Cubiella, Florentino Fdez-Riverola, Hugo López-Fernández, Miguel Reboiro-Jato, Daniel Glez-Peña:
Real-time polyp detection model using convolutional neural networks. Neural Comput. Appl. 34(13): 10375-10396 (2022) - 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) - Carlos Rodrigo-Rivero, Carlos Garre del Olmo, Agustín Álvarez Marquina, Pedro Gómez Vilda, Francisco Domínguez-Mateos, Daniel Palacios-Alonso:
Acquisition of Relevant Hand-Wrist Features Using Leap Motion Controller: A Case of Study. IWINAC (1) 2022: 229-238 - 2021
- Agustín Borrego, Daniel Ayala, Inma Hernández, Carlos R. Rivero, David Ruiz:
CAFE: Knowledge graph completion using neighborhood-aware features. Eng. Appl. Artif. Intell. 103: 104302 (2021) - Alba Nogueira-Rodríguez, Rubén Domínguez-Carbajales, Hugo López-Fernández, Águeda Iglesias, Joaquín Cubiella, Florentino Fdez-Riverola, Miguel Reboiro-Jato, Daniel Glez-Peña:
Deep Neural Networks approaches for detecting and classifying colorectal polyps. Neurocomputing 423: 721-734 (2021) - Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiaosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb:
Dynamic spectral residual superpixels. Pattern Recognit. 112: 107705 (2021)
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