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 |
| 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 | feature selection, machine learning, ensembles, big data |
| Contacto | UDC directory |
| Orcid id0000-0002-0524-6427 ResearcherIDA-5573-2015 Scopus35145404000 | |
This section shows the teaching given in degrees, masters and other officers studies in last 6 years.
| Subject and involved studies | Type | Total hours |
|---|---|---|
| Final Year Dissertation. Mention in Computer Science | Compulsory | 4 |
| Intelligent Systems | Compulsory | 107 |
| Legal Procedure and ICT | Compulsory | 2.5 |
| Legal Relations in the Digital Society | Compulsory | 1 |
| Subject and involved studies | Type | Total hours |
|---|---|---|
|
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
|
Compulsory | 10 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 118 |
|
Master's Dissertation
Master in Bioinformatics for Health Sciences
|
Compulsory | 4 |
| Subject and involved studies | Type | Total hours |
|---|---|---|
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 110 |
| Subject and involved studies | Type | Total hours |
|---|---|---|
|
Computer Science Preliminaries
Degree in Computer Engineering
|
Core | 13 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 150.5 |
| Subject and involved studies | Type | Total hours |
|---|---|---|
|
Computer Science Preliminaries
Degree in Computer Engineering
|
Core | 66 |
|
Degree Thesis Project
Computer Engineering
|
Compulsory | 7 |
|
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
|
Compulsory | 6.6 |
|
Foundations of Artificial Intelligence
Master in Bioinformatics for Health Sciences
|
Optional | 42 |
|
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
|
Compulsory | 131 |
| Subject and involved studies | Type | Total hours |
|---|---|---|
|
Computer Science
Automation and Industrial Electronics Engineering
Degree in Electrical Engineering
|
Core | 84 |
|
Requirements Engineering
Degree in Computer Engineering
Master's in Computer Engineering
|
Optional | 64 |
Defined tutoring by teacher for 2020/2021 academic course.
| Quarter | Day | Site |
|---|---|---|
| 1st quarter |
Tuesday
11:30 a 13:30 |
Teams (Virtual) |
| 1st quarter |
Wednesday
09:30 a 11:30 |
Teams (Virtual) |
| 2nd quarter |
Tuesday
10:25 a 12:25 |
Teams (Virtual) |
| 2nd quarter |
Friday
09:25 a 10:25 |
Teams (Virtual) |
| 2nd chance |
Monday
10:00 a 11:00 |
Teams (Virtual) |
| 2nd chance |
Thursday
10:00 a 11:00 |
Teams (Virtual) |
Directed or codirected by current teacher since 2013 year.
Select merit type and year to query research merits.
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 |
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 |
Cuando el tamaño importa: Selección de características para wearables
| Funding entity | FUNDACIÓN BBVA |
| Main researches | Verónica Bolón Canedo |
| Type | Proyecto Otros Programas |
| Dates | From 30/09/2018 to 30/03/2019 |
Algoritmos de aprendizaje computacional en entornos distribuídos
| Funding entity | Ministerio de Economía y Competitividad (MINECO) |
| Main researches | Amparo Alonso Betanzos |
| Type | Proyecto Programas Nacionales |
| Dates | From 01/01/2013 to 31/12/2015 |
Distributed classification based on distances between probability distributions in feature space
| Authors | Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José A. Vilar, Amparo Alonso-Betanzos |
| Journal | INFORMATION SCIENCES Vol. 496 (pages 431 to 450) |
On developing an automatic threshold applied to feature selection ensembles
| Authors | Borja Seijo-Pardo, Verónica Bolón-Canedo, A. Alonso-Betanzos |
| Journal | Information Fusion Vol. 45 (pages 227 to 245) |
| DOI | https://doi.org/10.1016/j.inffus.2018.02.007 |
On the scalability of feature selection methods on high-dimensional data
| Authors | Verónica Bolón-Canedo, Diego Rego-Fernández, Diego Peteiro Barral, A. Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño |
| Journal | KNOWLEDGE AND INFORMATION SYSTEMS Vol. 56 (pages 395 to 442) |
| DOI | https://doi.org/10.1007/s10115-017-1140-3 |
On the use of different base classi ers in multiclass problems
| Authors | Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández |
| Journal | PROGRESS IN ARTIFICIAL INTELLIGENCE |
Testing different ensemble con gurations for feature selection
| Authors | Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Borja Seijo-Pardo |
| Journal | NEURAL PROCESSING LETTERS |
On the use of feature selection to improve the detection of sea oil spills in SAR images
| Authors | David Mera, Verónica Bolón-Canedo, J.M. Cotos, A. Alonso-Betanzos |
| Journal | COMPUTERS & GEOSCIENCES Vol. 100 Num. 100 (pages 166 to 178) |
| DOI | https://doi.org/10.1016/j.cageo.2016.12.013 |
Centralized vs. distributed feature selection methods based on data complexity measures
| Authors | Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| Journal | Knowledge-Based Systems Vol. 117 (pages 27 to 45) |
| DOI | https://doi.org/10.1016/j.knosys.2016.09.022 |
Can classi cation performance be predicted by complexity measures? A study using microarray data.
| Authors | A. Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández |
| Journal | KNOWLEDGE AND INFORMATION SYSTEMS Vol. 51 (pages 1067 to 1090) |
| DOI | https://doi.org/10.1007/s10115-016-1003-3 |
Can classification performance be predicted by complexity measures? A study using microarray data
| Authors | Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| Journal | KNOWLEDGE AND INFORMATION SYSTEMS Vol. 51 Num. 3 (pages 1067 to 1090) |
| DOI | https://doi.org/10.1007/s10115-016-1003-3 |
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) |
Ensemble feature selection: Homogeneous and heterogeneous approaches
| Authors | Borja Seijo-Pardo, I. Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| Journal | Knowledge-Based Systems (pages 124 to 139) |
| DOI | https://doi.org/10.1016/j.knosys.2016.11.017 |
Fast-mRMR: Fast minimum Redundancy Maximum Relevance algorithm for high-dimensional Big Data.
| Authors | Sergio Ramírez¿Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos |
| Journal | INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (pages 1 to 19) |
| DOI | https://doi.org/10.1002/int.21833 |
A uni ed pipeline for online feature selection and classi cation.
| Authors | Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño, Diego Fernández Francos |
| Journal | EXPERT SYSTEMS WITH APPLICATIONS Vol. 55 (pages 532 to 545) |
Feature selection for high-dimensional data.
| Authors | Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño |
| Journal | PROGRESS IN ARTIFICIAL INTELLIGENCE Vol. 5 Num. 2 (pages 65 to 75) |
| DOI | https://doi.org/10.1007/s13748-015-0080-y |
Real-time tear lm classi cation through cost-based feature selection.
| Authors | Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Noelia Sánchez-Maroño |
| Journal | Lectures Notes in Computer Science Vol. 9420 (pages 78 to 98) |
Data Discretization: Taxonomy and Big Data Challenge.
| Authors | Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Francisco Herrera |
| Journal | WIREs : Data Mining and Knowledge Discovery Vol. 6 Num. 1 (pages 5 to 21) |
| DOI | https://doi.org/10.1002/widm.1173 |
A comparison of performance of K-complex classifi cation methods using feature selection
| Authors | Amparo Alonso-Betanzos, Vicente Moret Bonillo, Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Elena Hernandez-Pereira |
| Journal | INFORMATION SCIENCES Vol. 328 (pages 1 to 14) |
| DOI | https://doi.org/10.1016/j.ins.2015.08.022 |
A unified pipeline for online feature selection and classification
| Authors | Verónica Bolón-Canedo, Diego Fernández Francos, Diego Peteiro Barral, A. Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño |
| Journal | EXPERT SYSTEMS WITH APPLICATIONS Vol. 55 (pages 532 to 545) |
| DOI | https://doi.org/10.1016/j.eswa.2016.02.035 |
Plus disease: is it more than meets the ICROP?
| Authors | John P. Campbell, Esra Ataer-Cansizoglu, Verónica Bolón-Canedo, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Samir Patel, R.V. Paul Chan, Michael F. Chiang |
| Journal | Journal of American Association for Pediatric Ophthalmology and Strabismus Vol. 20 Num. 4 |
| DOI | https://doi.org/10.1016/j.jaapos.2016.07.008 |
Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis
| Authors | John P. Campbell, Esra Ataer-Cansizoglu, Verónica Bolón-Canedo, Alican Bozkurt, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Samir Patel, James D. Reynolds, Jason Horowitz, Kelly Hutcheson, Michael Shapiro, Michael X. Repka, Philip Ferrone, Kimberly Drenser, Maria Ana Martinez-Castellanos, Susan Ostmo, Karyn Jonas, R.V. Paul Chan, Michael F. Chiang |
| Journal | JAMA ophthalmology Vol. 134 Num. 6 (pages 651 to 657) |
| DOI | https://doi.org/10.1001/jamaophthalmol.2016.0611 |
Recent advances and emerging challenges in feature selection.
| Authors | Verónica Bolón-Canedo, N. Sánchez Maroño, Amparo Alonso-Betanzos |
| Journal | Knowledge-Based Systems |
| DOI | https://doi.org/10.1016/j.knosys.2015.05.014 |
Distributed feature selection: An application to microarray data classification
| Authors | Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
| Journal | Applied Soft Computing |
| DOI | https://doi.org/10.1016/j.asoc.2015.01.035 |
Exploring guidelines for classi cation of major heart failure subtypes by using Machine Learning
| Authors | Amparo Alonso-Betanzos, Verónica Bolón-Canedo |
| Journal | Clinical Medicine Insights: Cardiology Vol. 6 Num. 1 (pages 57 to 71) |
| DOI | https://doi.org/10.4137/cmc.s18744 |
Dealing with inter-expert variability in Retinopathy of Prematurity: a machine learning approach
| Authors | Verónica Bolón-Canedo, Esra Ataer-Cansizoglu, D. Erdogmus, Jayashree Kalpathy-Cramer, Óscar Fontenla-Romero, A. Alonso-Betanzos, Michael F. Chiang |
| Journal | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE Vol. 122 Num. 1 (pages 1 to 15) |
| DOI | https://doi.org/10.1016/j.cmpb.2015.06.004 |
Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning
| Authors | A. Alonso-Betanzos, Verónica Bolón Canedo, Guy Heyndrickx, Peter L.M. Kerkhof |
| Journal | Clinical Medicine Insights: Cardiology Vol. 9 (pages 57 to 71) |
| DOI | https://doi.org/10.4137/cmc.s18746 |
A Methodology for Improving Tear Film Lipid Layer Classification
| Authors | Bea Remeseiro, Bolon-Canedo, Veronica, Peteiro-Barral, Diego, Alonso-Betanzos, Amparo, Guijarro-Berdinas, Bertha, Mosquera, Antonio, Penedo, Manuel G., Sanchez-Marono, Noelia |
| Journal | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS Vol. 18 Num. 4 (pages 1485 to 1493) |
| DOI | https://doi.org/10.1109/jbhi.2013.2294732 |
A review of microarray datasets and applied feature selection methods
| Authors | Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, F. Herrera |
| Journal | INFORMATION SCIENCES Vol. 282 (pages 111 to 135) |
| DOI | https://doi.org/10.1016/j.ins.2014.05.042 |
Data classification using an ensemble of filters
| Authors | Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
| Journal | Neurocomputing Vol. 135 (pages 13 to 20) |
| DOI | https://doi.org/10.1016/j.neucom.2013.03.067 |
A framework for cost-based feature selection
| Authors | Verónica Bolón-Canedo, Iago Porto Díaz, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
| Journal | PATTERN RECOGNITION Vol. 47 Num. 7 (pages 2481 to 2489) |
| DOI | https://doi.org/10.1016/j.patcog.2014.01.008 |
An insight into microarray datasets and feature selection me-thods: a framework for ongoing studies
| Authors | Bolon-Canedo, Veronica, N. Sánchez Maroño, A. Alonso Betanzos, José Manuel Benítez, F. Herrera |
| Journal | INFORMATION SCIENCES Vol. 282 (pages 111 to 135) |
Toward the scalability of neural networks through feature selection.
| Authors | Peteiro-Barral, Diego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Guijarro-Berdinas, Bertha, Noelia Sánchez-Maroño |
| Journal | EXPERT SYSTEMS WITH APPLICATIONS Vol. 40 Num. 8 (pages 2807 to 2816) |
| DOI | https://doi.org/10.1016/j.eswa.2012.11.016 |
A review of feature selection methods on synthetic data
| Authors | Verónica Bolon Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
| Journal | KNOWLEDGE AND INFORMATION SYSTEMS Vol. 34 Num. 3 (pages 483 to 519) |
| DOI | https://doi.org/10.1007/s10115-012-0487-8 |
An ensemble of filters and classifiers for microarray data classification
| Authors | Bolon-Canedo, Veronica, N. Sánchez Maroño, A. Alonso Betanzos |
| Journal | PATTERN RECOGNITION Vol. 45 Num. 1 (pages 531 to 539) |
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset
| Authors | Verónica Bolón Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
| Journal | EXPERT SYSTEMS WITH APPLICATIONS Vol. 38 Num. 5 (pages 5947 to 5957) |
On the Behavior of Feature Selection Methods Dealing with Noise and Relevance over Synthetic Scenarios
| Authors | Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Verónica Bolón-Canedo |
| Journal | 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (pages 1530 to 1537) |
A study of performance on microarray data sets for a classifier based on information theoretic learning
| Authors | Iago Porto Díaz, Verónica Bolon Canedo, Amparo Alonso-Betanzos, Óscar Fontenla-Romero |
| Journal | NEURAL NETWORKS Vol. 24 Num. 8 (pages 888 to 896) |
Feature Selection for high-dimensional data
| Authors | Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos |
| Publishing | Artificial intelligence (Berlin Springer), (España) |
| ISBN | 978-3-319-21858-8 |
Up-to-date feature selection methods for scalable and efficient machine learning
| Authors | Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Diego Fernández Francos, Iago Porto Díaz, Noelia Sánchez-Maroño |
| Publishing | IGI Global, (España) |
| ISBN | 978-1466639423 |
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. 139 Publishing: Springer - Verlag. ISBN: 978-3-319-67512-1 |
| Pages | From 145 to 195 |
Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches
| Authors | A. Alonso-Betanzos. Verónica Bolón-Canedo |
| Book |
Sex-Specific Analysis of Cardiovascular Function Publishing: Spriger. ISBN: 978-3-319-77931-7 |
| Pages | From 607 to 626 |
Preprocessing in Big Data: New challenges for discretization and feature selection
| Authors | Verónica Bolón-Canedo. Noelia Sánchez-Maroño. A. Alonso-Betanzos |
| Book |
Frontiers in Data Science Publishing: Taylor & Francis. ISBN: 1498799329 |
| Pages | From 175 to 195 |
Simple but not simplistic: reducing the complexity of machine learning methods
| Autor | Laura Morán Fernández |
| Director/s | María Amparo Alonso Betanzos; Verónica Bolón Canedo |
| Scope | Facultad de Informática |
| Qualification | Sobresaliente Cum Laude |
Information Fusion and Ensembles in Machine Learning
| Autor | Borja Seijo Pardo |
| Director/s | María Amparo Alonso Betanzos; Verónica Bolón Canedo |
| Scope | Facultad de Informática |
| Qualification | Sobresaliente |
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) |
Learning features on tear fi lm lipid layer classi cation
23th European symposium on Arti cial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2015
International
| Authors | Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| Place | Brujas (Bélgica) |
Novel feature selection methods for high dimensional data
6th International Conference on Agents and Artificial Intelligence (ICAART 2014)
International
| Authors | Verónica Bolón Canedo, Noelia Sanchez Maroño, Amparo Alonso-Betanzos |
| Organization | Institute for Systems and Technologies of Information, Control and Communication (INSTICC) |
| Place | Angers (Francia) |
Academic or management positions held by teacher.