PhD Carlos Eiras Franco  

Profesor axudante doutor (AXU-DR)

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

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
Final Year Dissertation. Mention in Information Systems
Degree in Computer Engineering
0 1
Final Year Dissertation. Mention in Software Engineering
Degree in Computer Engineering
0 1
Master's Dissertation
Master in Bioinformatics for Health Sciences
0 12.1666666666667
Subject and involved studies Distance hours Total hours
Computational Intelligence for High Dimensional Data 0 21
Final Year Dissertation. Mention in Computer Science 0 6.66666666666667
Fundamentals of Computing Science 0 52
Intelligent Systems 0 45
Machine Learning II 0 33
Machine Learning III 0 24
Subject and involved studies Distance hours Total hours
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
0 21
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
0 10.67
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
0 88
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 60
Machine Learning II
Degree in Data Science and Engineering
0 33
Machine Learning III
Degree in Data Science and Engineering
0 24
Subject and involved studies Distance hours Total hours
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
0 21
Computer Communications Networks
Master's Degree in Industrial Computing and Robotics
0 10.5
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
0 28
Information Systems in Industrial Environments
Master's Degree in Industrial Computing and Robotics
0 21
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
Master's in Computer Engineering
0 84
Machine Learning II
Degree in Data Science and Engineering
0 33
Machine Learning III
Degree in Data Science and Engineering
0 24
Subject and involved studies Distance hours Total hours
Algorithms
Degree in Computer Engineering
0 30
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
0 21
Computer Communications Networks
Master's Degree in Industrial Computing and Robotics
0 8.5
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
0 28
Information Systems in Industrial Environments
Master's Degree in Industrial Computing and Robotics
0 17
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 103
Machine Learning II
Master's Degree in Industrial Computing and Robotics
0 4.5
Software Design
Degree in Computer Engineering
0 15

Defined tutoring by teacher for 2023/2024 academic course.

Faculty of Computer Science

Quarter Day Site
1st quarter Monday
09:30 a 11:30
acordar vía Teams/email
1st quarter Wednesday
09:30 a 11:30
acordar vía Teams/email
2nd quarter Wednesday
09:30 a 11:30
acordar vía Teams/email
2nd quarter Friday
09:30 a 11:30
acordar vía Teams/email

Research results

Select merit type and year to query research merits.

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)

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.

Consello do Departamento Ciencias da Computación e Tecnoloxías da Información

PDI (Membros Natos)

From 15/03/2023.

Consello do Departamento Ciencias da Computación e Tecnoloxías da Información

PDI (Membros Natos)