| 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 | Frugal Artificial Intelligence Explainable Artificial Intelligence Scalable Artificial Intelligence |
| Contacto | UDC directory |
| Orcid id0000-0001-6322-7593 ResearcherIDC-7550-2019 Scopus57190295640 | |
This section shows the teaching given in degrees, masters and other officers studies in last 6 years.
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
|
Compulsory | 0 | 11 |
|
Final Year Dissertation
Degree in Data Science and Engineering
|
Compulsory | 0 | 4 |
|
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
|
Core | 0 | 28 |
|
Machine Learning II
Degree in Data Science and Engineering
|
Compulsory | 0 | 76 |
|
Machine Learning III
Degree in Data Science and Engineering
|
Compulsory | 0 | 43.5 |
|
Master's Dissertation
Master in Bioinformatics for Health Sciences
|
Compulsory | 0 | 2 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
| Computational Intelligence for High Dimensional Data | Compulsory | 0 | 21 |
| Final Year Dissertation. Mention in Computer Science | Compulsory | 0 | 2.66 |
| Final Year Dissertation. Mention in Information Systems | Compulsory | 0 | 1 |
| Final Year Dissertation. Mention in Software Engineering | Compulsory | 0 | 1 |
| Fundamentals of Computing Science | Core | 0 | 28 |
| Machine Learning II | Compulsory | 0 | 76 |
| Machine Learning III | Compulsory | 0 | 51 |
| Master's Dissertation | Compulsory | 0 | 12.16 |
| Work Placement | Optional | 0 | 0.5 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
|
Compulsory | 0 | 21 |
|
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
|
Compulsory | 0 | 6.66666666666667 |
|
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
|
Core | 0 | 52 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 0 | 45 |
|
Machine Learning II
Degree in Data Science and Engineering
|
Compulsory | 0 | 33 |
|
Machine Learning III
Degree in Data Science and Engineering
|
Compulsory | 0 | 24 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
|
Compulsory | 0 | 21 |
|
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
|
Compulsory | 0 | 10.67 |
|
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
|
Core | 0 | 88 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 0 | 60 |
|
Machine Learning II
Degree in Data Science and Engineering
|
Compulsory | 0 | 33 |
|
Machine Learning III
Degree in Data Science and Engineering
|
Compulsory | 0 | 24 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
|
Compulsory | 0 | 21 |
|
Computer Communications Networks
Master's Degree in Industrial Computing and Robotics
|
Optional | 0 | 10.5 |
|
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
|
Core | 0 | 28 |
|
Information Systems in Industrial Environments
Master's Degree in Industrial Computing and Robotics
|
Optional | 0 | 21 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 0 | 84 |
|
Machine Learning II
Degree in Data Science and Engineering
|
Compulsory | 0 | 33 |
|
Machine Learning III
Degree in Data Science and Engineering
|
Compulsory | 0 | 24 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Algorithms
Degree in Computer Engineering
|
Compulsory | 0 | 30 |
|
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
|
Compulsory | 0 | 21 |
|
Computer Communications Networks
Master's Degree in Industrial Computing and Robotics
|
Optional | 0 | 8.5 |
|
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
|
Core | 0 | 28 |
|
Information Systems in Industrial Environments
Master's Degree in Industrial Computing and Robotics
|
Optional | 0 | 17 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 0 | 103 |
|
Machine Learning II
Master's Degree in Industrial Computing and Robotics
|
Optional | 0 | 4.5 |
|
Software Design
Degree in Computer Engineering
|
Compulsory | 0 | 15 |
Defined tutoring by teacher for 2024/2025 academic course.
| Quarter | Day | Site |
|---|---|---|
| 1st quarter |
Monday
09:30 a 11:30 |
acordar vía Teams/email |
| 1st quarter |
Thursday
09:30 a 11:30 |
acordar vía Teams/email |
| 2nd quarter |
Tuesday
11:00 a 13:00 |
acordar vía Teams/email |
| 2nd quarter |
Wednesday
09:30 a 11:00 |
acordar vía Teams/email |
Directed or codirected by current teacher since 2013 year.
| Combatting toxicity in health-related online discussions through Machine Learning models |
| Data analysis of the influence of the exposome on the development of mental illnesses |
| Explanation algorithm for anomalies in mixed categorical-continuous spaces using local explainability techniques |
| Automation of the extraction of relevant data in medical reports using Text Mining |
| Deep learning language models for music analysis and generation |
Select merit type and year to query research merits.
Aprendizaje automático frugal: potenciando la IA en entornos con recursos limitados para los desafíos del mundo real
| Funding entity | Ministerio de Ciencia, Innovación y Universidades |
| Main researches | Berta Guijarro Berdiñas (IP1) / Amparo Alonso Betanzos (IP2) |
| Type | Proyecto Programas Nacionales |
| Dates | From 01/09/2024 to 31/08/2027 |
AXUDAS PARA A CONSOLIDACIÓN E ESTRUTURACIÓN DE UNIDADES DE INVESTIGACIÓN COMPETITIVAS.GRC 2022
| Funding entity | Consellería de Educación |
| Main researches | Amparo Alonso Betanzos |
| Type | Proyecto Programas Autonomicos |
| Dates | From 01/01/2022 to 20/11/2025 |
SMART PRE2: Inteligencia Artificial aplicada a la predicción y prevención de enfermedades profesionales
| Funding entity | Red.es |
| Main researches | José Luis Calvo Rolle ; Óscar Fontenla Romero |
| Type | Proyecto Programas Nacionales |
| Dates | From 01/09/2022 to 30/04/2024 |
Axudas para a consolidación e estruturación de unidades de investigación competitivas.GRC
| Funding entity | Consellería de Cultura, Educación e Ordenación Universitaria |
| Main researches | Amparo Alonso Betanzos |
| Type | Proyecto Programas Autonomicos |
| Dates | From 01/01/2019 to 20/11/2021 |
Performance and Sustainability of BERT Derivatives in Dyadic Data
| Authors | Miguel Escarda-Fernández, Carlos Eiras-Franco, Brais Cancela, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos |
| Journal | Expert Systems with Applications Vol. 58 (pages 111265. to 111265.) |
| DOI | https://doi.org/10.1016/j.eswa.2024.125647 |
Adaptive incremental transfer learning for efficient performance modeling of big data workloads
| Authors | Garralda-Barrio, Mariano, Eiras-Franco, Carlos, Bolón-Canedo, Verónica |
| Journal | FUTURE GENERATION COMPUTER SYSTEMS Vol. 166 Num. May 2025, |
| DOI | https://doi.org/10.1016/j.future.2025.107730 |
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models
| Authors | Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, B. Cancela, Carlos Eiras-Franco |
| Journal | IEEE Transactions on Neural Networks and Learning Systems |
A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning
| Authors | Mariano Garralda-Barrio, Carlos Eiras-Franco, V. Bolón-Canedo |
| Journal | JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING |
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability
| Authors | Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Carlos Eiras-Franco, B. Cancela |
| Journal | Information Fusion Vol. 111 (pages 102497 to 102497) |
| DOI | https://doi.org/10.1016/j.inffus.2024.102497 |
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning
| Authors | Jorge Meira, Carlos Eiras-Franco, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos |
| Journal | Information Sciences Vol. 607 (pages 1245 to 1264) |
| DOI | https://doi.org/10.1016/j.ins.2022.06.035 |
Scalable feature selection using ReliefF aided by locality-sensitive hashing
| Authors | Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde Rionda |
| Journal | INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (pages 6161 to 6179) |
Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing
| Authors | Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde Rionda, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos |
| Journal | ACM Transactions on Intelligent Systems and Technology Vol. 11 Num. 6 (pages 71-1 to 71-18) |
Large scale anomaly detection in mixed numerical and categorical input spaces
| Authors | Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde Rionda |
| Journal | Information Sciences Vol. 487 (pages 115 to 127) |
A scalable decision-tree-based method to explain interactions in dyadic data
| Authors | Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde Rionda |
| Journal | DECISION SUPPORT SYSTEMS Vol. In Press |
Multithreaded and Spark Parallelization of Feature Selection Filters
| Authors | Carlos Eiras-Franco, Verónica Bolón-Canedo, Sabela Ramos Garea, Jorge González Domínguez, Amparo Alonso-Betanzos, Juan Touriño Domínguez |
| Journal | Journal of Computational Science Vol. 17 (pages 609 to 619) |
Preprocessing in high dimensional datasets
| Authors | A. Alonso-Betanzos. Verónica Bolón-Canedo. Carlos Eiras-Franco. Laura Morán-Fernández. Borja Seijo-Pardo |
| Book |
Advances in Biomedical Informatics Vol. 137 Publishing: Springer - Verlag. ISBN: 978-3-319-67512-1 |
| Pages | From 247 to 271 |
Aprendizaje Automático para Combatir la Toxicidad en Conversaciones sobre Salud en Línea
I Workshop de la Sociedad Española de Inteligencia Artificial en Biomedicina (IABiomed)
National
| Authors | Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Carlos Eiras-Franco |
| Place | Coruña, A (España) |
Explicabilidad Sostenible para Sistemas de Recomendación mediante Ranking Bayesiano de Imágenes
XI Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA)
National
| Authors | Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, B. Cancela, Carlos Eiras-Franco |
| Place | Coruña, A (España) |
Estudio sobre el uso de técnicas de detección de anomalías contra ataques adversarios
XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024)
National
| Authors | Jorge Núñez-Rivera, Carlos Eiras-Franco, B. Cancela |
| Place | Coruña, A (España) |
Algoritmo de explicacion de anomalías en espacios mixtos categorico-continuos utilizando técnicas de explicabilidad local
XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024)
National
| Authors | David Esteban Martínez, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Carlos Eiras-Franco |
| Place | Coruña, A (España) |
Desvelando la Caja Negra: Utilización de Embeddings de Texto para el Ranking de Explicaciones
XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024)
National
| Authors | Miguel Escarda-Fernández, Brais Cancela, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos |
| Place | Coruña, A (España) |
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 |
Predictive Maintenance of Naval Assets Using Machine Learning Techniques
The 15th annual Operations Research & Analysis Conference (NATO OR&A)
National
| Authors | Francisco Lamas-López, David Novoa-Paradela, Carlos Eiras-Franco, Óscar Fontenla-Romero, David Sanz-Muñoz |
| Place | Madrid (España) |
Regression Tree Based Explanation for Anomaly Detection Algorithm
III Congreso XoveTIC
Autonomous
| Authors | López-Riobóo Botana, Íñigo, Carlos Eiras-Franco, Amparo Alonso-Betanzos |
| Organization | Centro de Investigación en Tecnoloxías da Información e as Comunicacións (CITIC) |
| Place | Coruña, A (España) |
| DOI | https://doi.org/10.3390/proceedings2020054007 |
Mantenimiento predictivo de motores de buques mediante aprendizaje automático
VIII Congreso Nacional de I+D en Defensa y Seguridad (DESEi+d2020)
National
| Authors | David Novoa-Paradela, Carlos Eiras-Franco, Óscar Fontenla-Romero, Óscar Lamas López, David Sanz-Muñoz |
| Organization | CENTRO UNIVERSITARIO DE LA DEFENSA (CUD) |
| Place | León (España) |
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings
8th International Conference on Data Science, Technology and Applications - DATA 2019
International
| Authors | Carlos Eiras-Franco, M. Flores, Verónica Bolón-Canedo, Sonia Zaragoza, Rubén Fernández-Casal, Salvador Naya, J. Tarrío-Saavedra |
| Place | Praga (República Checa) |
Método escalable basado en árboles para explicar interacciones de datos diádicos
Machine Learning Workhop Galicia 2019 (WGML2019)
Autonomous
| Authors | Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde Rionda |
| Place | Coruña, A (España) |
Selección de características escalable con ReliefF mediante el uso de Hashing Sensible a la Localidad
II Workshop en Big Data y Análisis de Datos Escalable - CAEPIA 2018
National
| Authors | Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde Rionda |
| Place | Granada (España) |
Segmentación de mercado explicable sobre datos de alta dimensión
II Workshop en Big Data y Análisis de Datos Escalable - CAEPIA 2018
National
| Authors | Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde Rionda |
| Place | Granada (España) |
Interpretable market segmentation on high dimension data
XoveTIC 2018
Autonomous
| Authors | Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde Rionda |
| Organization | Centro de Investigación en Tecnoloxías da Información e as Comunicacións (CITIC) |
| Place | Coruña, A (España) |
| DOI | https://doi.org/10.3390/proceedings2181171 |
Scalable approximate k-NN graph construction based on Local Sensitivity Hashing
25th European symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2017) .
International
| Authors | Amparo Alonso-Betanzos, Carlos Eiras-Franco, David Martínez-Rego |
| Place | Brujas (Bélgica) |
Paralelización de algoritmos de selección de características en la plataforma Weka
CAEPIA 2015. Conference of the Spanish Association for Artificial Intelligence.
International
| Authors | Amparo Alonso-Betanzos, Carlos Eiras-Franco, Verónica Bolón-Canedo, Rodriguez, J., J. Touriño |
| Place | Albacete (España) |
Academic or management positions held by teacher.