Carlos Eiras Franco File.

Teaching

Subjects taught

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

Subject and involved studies	Type	Total hours
Computational Intelligence for High Dimensional Data Master in Bioinformatics for Health Sciences	Compulsory	21
Final Year Dissertation. Mention in Computer Science Degree in Computer Engineering	Compulsory	2.66
Final Year Dissertation. Mention in Information Systems Degree in Computer Engineering	Compulsory	1
Final Year Dissertation. Mention in Software Engineering Degree in Computer Engineering	Compulsory	1
Fundamentals of Computing Science Degree in Nanoscience and Nanotechnology	Core	28
Intelligent Systems Degree in Computer Engineering Master's in Computer Engineering	Compulsory	15
Machine Learning II Degree in Data Science and Engineering	Compulsory	76
Machine Learning III Degree in Data Science and Engineering	Compulsory	51
Master's Dissertation Master in Bioinformatics for Health Sciences	Compulsory	12.16
Work Placement Master in Bioinformatics for Health Sciences Master in Bioinformatics for Health Sciences	Optional	0.5

Subject and involved studies	Type	Total hours
Computational Intelligence for High Dimensional Data Master in Bioinformatics for Health Sciences	Compulsory	21
Final Year Dissertation. Mention in Computer Science Degree in Computer Engineering	Compulsory	6.66666666666667
Fundamentals of Computing Science Degree in Nanoscience and Nanotechnology	Core	52
Intelligent Systems Degree in Computer Engineering Master's in Computer Engineering	Compulsory	45
Machine Learning II Degree in Data Science and Engineering	Compulsory	33
Machine Learning III Degree in Data Science and Engineering	Compulsory	24

Subject and involved studies	Type	Total hours
Computational Intelligence for High Dimensional Data Master in Bioinformatics for Health Sciences	Compulsory	21
Final Year Dissertation. Mention in Computer Science Degree in Computer Engineering	Compulsory	10.67
Fundamentals of Computing Science Degree in Nanoscience and Nanotechnology	Core	88
Intelligent Systems Degree in Computer Engineering Master's in Computer Engineering	Compulsory	60
Machine Learning II Degree in Data Science and Engineering	Compulsory	33
Machine Learning III Degree in Data Science and Engineering	Compulsory	24

Subject and involved studies	Type	Total hours
Computational Intelligence for High Dimensional Data Master in Bioinformatics for Health Sciences	Compulsory	21
Computer Communications Networks Master's Degree in Industrial Computing and Robotics	Optional	10.5
Fundamentals of Computing Science Degree in Nanoscience and Nanotechnology	Core	28
Information Systems in Industrial Environments Master's Degree in Industrial Computing and Robotics	Optional	21
Intelligent Systems Degree in Computer Engineering Master's in Computer Engineering Master's in Computer Engineering	Compulsory	84
Machine Learning II Degree in Data Science and Engineering	Compulsory	33
Machine Learning III Degree in Data Science and Engineering	Compulsory	24

Subject and involved studies	Type	Total hours
Algorithms Degree in Computer Engineering	Compulsory	30
Computational Intelligence for High Dimensional Data Master in Bioinformatics for Health Sciences	Compulsory	21
Computer Communications Networks Master's Degree in Industrial Computing and Robotics	Optional	8.5
Fundamentals of Computing Science Degree in Nanoscience and Nanotechnology	Core	28
Information Systems in Industrial Environments Master's Degree in Industrial Computing and Robotics	Optional	17
Intelligent Systems Degree in Computer Engineering Master's in Computer Engineering	Compulsory	103
Machine Learning II Master's Degree in Industrial Computing and Robotics	Optional	4.5
Software Design Degree in Computer Engineering	Compulsory	15

Defined tutoring by teacher for 2024/2025 academic course.

Faculty of Computer Science

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	Monday 09:30 a 11:30	acordar vía Teams/email
2nd quarter	Wednesday 09:30 a 11:30	acordar vía Teams/email

EOG works and final master thesis directed

Directed or codirected by current teacher since 2013 year.


Dynamic feature selection model applied to a classification task.


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


Deep reinforcement learning for image classification
Intelligent System for Email Classification
Personalization in Recommender Systems through Explainable Machine Learning


Explanation Algorithm for anomalies on mixed categorical-continuous

Research results

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

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)

2018

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

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, Jaime Rodríguez, J. Touriño
Place	Albacete (España)

Positions

Academic or management positions held by teacher.

Current
Past

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	No data available from Curriculum Management System at UDC. (SUXI).
Contacto	UDC directory
Orcid id0000-0001-6322-7593 ResearcherIDC-7550-2019 Scopus57190295640

PhD Carlos Eiras Franco

Profesor axudante doutor (AXU-DR)