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Publication search results
found 121 matches
- 2024
- Shumin Ren, Jiakun Li, Julián Dorado, Alejandro Pazos Sierra, Humberto González Díaz, Aliuska Duardo-Sánchez, Bairong Shen:
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine. Health Inf. Sci. Syst. 12(1): 6 (2024) - Karina Beatriz Jimenes Vargas, Alejandro Pazos, Cristian R. Munteanu, Yunierkis Pérez-Castillo, Eduardo Tejera:
Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy. J. Cheminformatics 16(1): 27 (2024) - Ana Fernández Vilas, Rebeca P. Díaz Redondo, Daniel Couto Cancela, Alejandro Torrado Pazos:
Interplay between Cryptocurrency Transactions and Online Financial Forums. CoRR abs/2401.10238 (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) - Martiño Rivera-Dourado, Marcos Gestal, Alejandro Pazos, José Manuel Vázquez-Naya:
A Novel Protocol Using Captive Portals for FIDO2 Network Authentication. CoRR abs/2402.12864 (2024) - 2023
- Sara Álvarez González, Francisco Cedrón, Alejandro Pazos, Ana Porto Pazos:
Artificial glial cells in artificial neuronal networks: a systematic review. Artif. Intell. Rev. 56(S2): 2651-2666 (2023) - João Rafael Almeida, Alejandro Pazos, José Luís Oliveira:
Clinical Data Integration Strategies for Multicenter Studies. DoCEIS 2023: 175-190 - Mauro Giacomini, Lacramioara Stoicu-Tivadar, Gabriella Balestra, Arriel Benis, Stefano Bonacina, Alessio Bottrighi, Thomas M. Deserno, Parisis Gallos, Lenka Lhotská, Sara Marceglia, Alejandro C. Pazos Sierra, Samanta Rosati, Lucia Sacchi:
Telehealth Ecosystems in Practice - Proceedings of the EFMI Special Topic Conference 2023, EFMI-STC 2023, Turin, Italy, 25 - 27 October 2023. Studies in Health Technology and Informatics 309, IOS Press 2023, ISBN 978-1-64368-450-5 [contents] - 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) - 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) - João Rafael Almeida, Luís Bastião Silva, Alejandro Pazos, José Luís Oliveira:
Combining heterogeneous patient-level data into tranSMART to support multicentre studies. CBMS 2022: 62-65 - Arnaldo Pereira, João Rafael Almeida, Rui Pedro Lopes, Alejandro Pazos, José Luís Oliveira:
Discovery of Biomedical Databases Through Semantic Questioning. MIE 2022: 585-586 - 2021
- Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano:
Machine learning analysis of TCGA cancer data. PeerJ Comput. Sci. 7: e584 (2021) - Alvaro Rodríguez, Juan R. Rabuñal, Alejandro Pazos, Antonio Rodríguez Sotillo, Norberto Ezquerra:
Wearable Postural Control System for Low Back Pain Therapy. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - Jorge Vargas Florez, Luiggi Bellido-Barturen, Lileya Latorre-Solórzano, Víctor Ochoa-Guzmán, Luis E. López-Vargas, Alejandro Herrera-Vila, Alexander Castro-Gutierrez, César A. Luza-Ordoñez, Renzo S. Reyes-Pazos, Luis D. Hernández-Castañeda:
Food Supply Using E-Commerce on Pandemic Times: New Habits. ISCRAM 2021: 472-480 - João Rafael Almeida, João Figueira Silva, Sérgio Matos, Alejandro Pazos, José Luís Oliveira:
A Recommender System to Help Refining Clinical Research Studies. MIE 2021: 327-331 - 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) - 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) - 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) - 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
- 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) - 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) - 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) - Alba Arceo-Vilas, Carlos Fernandez-Lozano, Salvador Pita, Sonia Pértega Díaz, Alejandro Pazos:
Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques. PeerJ Comput. Sci. 6: e287 (2020) - 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) - João Rafael Almeida, João Figueira Silva, Alejandro Pazos Sierra, Sérgio Matos, José Luís Oliveira:
Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes. HEALTHINF 2020: 254-262 - João Rafael Almeida, João Figueira Silva, Alejandro Pazos Sierra, Sérgio Matos, José Luís Oliveira:
Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information. BIOSTEC (Selected Papers) 2020: 521-540 - João Rafael Almeida, Eriksson J. Melicio Monteiro, Luís A. Bastião Silva, Alejandro Pazos Sierra, José Luís Oliveira:
A Recommender System to Help Discovering Cohorts in Rare Diseases. CBMS 2020: 25-28
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