Andrés Molares Ulloa  

Profesor sustituto (P-SUS-LOSU)

Department Computer Science and Information Technologies
Knowledgment area Computational Science and Artificial Intelligence
Research  Research group Redes de Neuronas Artificiales y Sistemas Adaptativos - Imagen Médica y Diagnóstico Radiológico
Research lines No data available from Curriculum Management System at UDC. (SUXI).
Contacto UDC directory
Orcid id0000-0002-9007-5625 Scopus57666373100

Teaching

Subjects taught

This section shows the teaching given in degrees, masters and other officers studies in last 6 years.

Subject and involved studies Distance hours Total hours
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
0 4
Subject and involved studies Distance hours Total hours
Artificial Intelligence 0 10
Digital Content Editing 0 32
Intelligent Systems 0 10
Museums and New Technologies 0 10
Programming I 0 115
Subject and involved studies Distance hours Total hours
Artificial Intelligence
Master´s Degree in Designs, Development and Marketing of Videogames
0 10
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 98
Machine Learning
Degree in Computer Engineering
0 42
Machine Learning I
Degree in Data Science and Engineering
0 43
Subject and involved studies Distance hours Total hours
Artificial Intelligence
Master´s Degree in Designs, Development and Marketing of Videogames
0 10
Immersive, Interactive and Entertainment Systems
Degree in Computer Engineering
0 11
Information Retrieval
Degree on Digital Management of Information and Documents
0 35
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 64
Machine Learning I
Degree in Data Science and Engineering
0 20
Projects of Sigitalization
MA in Advanced Studies in Museums, Archives and Libraries
0 20
Quality, Information Security and Computing Audit
Master's in Computer Engineering
0 18
Subject and involved studies Distance hours Total hours
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
Master's in Computer Engineering
0 92
Machine Learning
Degree in Computer Engineering
0 55
Machine Learning I
Degree in Data Science and Engineering
0 33

EOG works and final master thesis directed

Directed or codirected by current teacher since 2013 year.

Application for the management of operators and remotely piloted aircraft

Research results

Select merit type and year to query research merits.

Towards improved harmful algal bloom forecasts: A comparison of symbolic regression with DoME and stream learning performance (Q1, IF: 7.7)

Authors Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero Cebrián, Xosé A. Padin, Rita Nolasco, Jesús Dubert, Enrique Fernández Blanco
Journal COMPUTERS AND ELECTRONICS IN AGRICULTURE Vol. 233
DOI https://doi.org/10.1016/j.compag.2025.110112

Hybrid machine learning techniques in the management of harmful algal blooms impact IF: 6.757 (Q1)

Authors Andres Molares-Ulloa, Daniel Rivero Cebrián, Jesús Gil Ruiz, Enrique Fernández Blanco, Luis de-la-Fuente-Valentín
Journal COMPUTERS AND ELECTRONICS IN AGRICULTURE Vol. 211
DOI https://doi.org/10.1016/j.compag.2023.107988

Machine learning in management of precautionary closures caused by lipophilic biotoxins. IF: 5.565 (Q1)

Authors Andres Molares-Ulloa, Enrique Fernandez-Blanco, Alejandro Pazos, Daniel Rivero Cebrián
Journal COMPUTERS AND ELECTRONICS IN AGRICULTURE Vol. 197
DOI https://doi.org/10.1016/j.compag.2022.106956

Digitalización de cuestionarios diagnósticos en reumatología

Authors Brais Galdo, Andrés Molares, Victoria Suárez Ulloa, Puig Gallego, P., C. Fernández López, M. Freire González, Guillermo Ganzález Vázquez, Francisco J. Blanco
Journal I+S Informática y Salud Num. 147

Application of Artificial Neural Networks for the Monitoring of Episodes of High Toxicity by DSP in Mussel Production Areas in Galicia

Authors Andrés Molares, Enrique Fernandez-Blanco, Daniel Rivero Cebrián
Journal Proceedings Vol. 54 Num. 1
DOI https://doi.org/10.3390/proceedings2020054012

Artificial Intelligence System for advice on precautionary closures of the Vigo estuary due to lipophilic biotoxins
MOL2NET 2021, International Conference on Multidisciplinary Sciences, 7th edition session IWMEDIC-08: North-Ibero-Am. Int. Work. Chem., Bio., and Med. Info., Coruña, Spain-Carleton, Canada-Standford, USA, 2021
International

Authors Andrés Molares, Daniel Rivero Cebrián, Enrique Fernandez-Blanco
Organization MDPI
Place Basel (Suiza)
DOI https://doi.org/10.3390/mol2net-07-11842

Plataforma de apoyo en el diagnóstico de COVID y otras patologías mediante Deep Learning
XXIV Congreso Nacional de Informática de la Salud, INFORSALUD 2021
National

Authors Andres Molares-Ulloa, J. de Moura, L. Ramos, J. Novo, M. Costas Mora, C. Flores Rodríguez, J. Cordeiro Rodríguez, M Ortega
Place Madrid (España)