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
Programming II
Degree in Artificial Intelligence
0 19
Software Design
Degree in Computer Engineering
0 41
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.

Ciencia e ingeniería de datos para la mejora de la función estadística oficial (CIDMEFEO)

Funding entity INSTITUTO NACIONAL DE ESTADÍSTICA
Main researches Ricardo Cao Abad, Manuel Francisco González Penedo
Type Proyecto Programas Nacionales
Dates From 13/05/2023 to 12/05/2026

Aprendizaje profundo ético

Funding entity Ministerio de Ciencia e Innovación
Main researches Cancela Barizo, Brais
Type Proyecto Programas Nacionales
Dates From 01/09/2022 to 31/08/2025

Aprendizaje Automático Escalable y Explicable

Funding entity Ministerio de Ciencia, Innovavación y Universidades
Type Proyecto Programas Nacionales
Dates From 01/06/2020 to 31/05/2024

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