Jorge Paz Ruza  

Contratado predoutoral (PC-PD)

Department Computer Science and Information Technologies
Knowledgment area Computational Science and Artificial Intelligence
Research  Research group Laboratorio de Investigación y Desarrollo en Inteligencia Artificial
Research lines Machine Learning, Explainable Machine Learning (xAI), Green AI, Responsible AI, Recommender Systems, Dyadic Data
Contacto UDC directory
Orcid id0000-0002-7869-1070 Scopus57993382000

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 2.66666666666667
Subject and involved studies Distance hours Total hours
Programming II 0 19
Software Design 0 41
Subject and involved studies Distance hours Total hours
Intelligent Systems Development
Degree in Computer Engineering
0 14
Programming II
Degree in Computer Engineering
0 31
Programming II
Degree in Artificial Intelligence
0 15

EOG works and final master thesis directed

Directed or codirected by current teacher since 2013 year.

Research results

Select merit type and year to query research merits.

Sustainable Personalisation and Explainability in Dyadic Data Systems
26th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2022)
International

Authors Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Organization KES International
Place Verona (Italia)
DOI https://doi.org/10.1016/j.procs.2022.09.157