PhD Verónica Bolón Canedo  

(AXU-DR)

Department Computer Science and Information Technology
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

Teaching

Subjects taught

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

Subject and involved studies Total hours
Computational Intelligence for High Dimensional Data 10
Final Year Dissertation 4
Intelligent Systems 118
Subject and involved studies Total hours
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
110
Subject and involved studies Total hours
Computer Science Preliminaries
Degree in Computer Engineering
13
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
150.5
Subject and involved studies Total hours
Computer Science Preliminaries
Degree in Computer Engineering
66
Degree Thesis Project
Computer Engineering
7
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
6.6
Foundations of Artificial Intelligence
Master in Bioinformatics for Health Sciences
42
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
131
Subject and involved studies Total hours
Computer Science
Automation and Industrial Electronics Engineering
Degree in Electrical Engineering
84
Requirements Engineering
Degree in Computer Engineering
Master's in Computer Engineering
64
Subject and involved studies Total hours
Computer Science Preliminaries
Degree in Computer Engineering
39
Requirements Engineering
Degree in Computer Engineering
21

Defined tutoring by teacher for 2019/2020 academic course.

Faculty of Computer Science

Quarter Day Site
1st quarter Tuesday
11:30 a 13:30
Despacho 1.04 Edificio Área Científica
1st quarter Wednesday
09:30 a 11:30
Despacho 1.04 Edificio Área Científica
1st quarter Thursday
11:30 a 13:30
Despacho 1.04 Edificio Área Científica
2nd quarter Wednesday
12:30 a 14:30
Despacho 1.04 Edificio Área Científica
2nd quarter Thursday
09:30 a 11:30
Despacho 1.04 Edificio Área Científica
2nd quarter Thursday
12:30 a 14:30
Despacho 1.04 Edificio Área Científica

EOG works and final master thesis directed

Directed or codirected by current teacher since 2013 year.

Deep Leraning techniques for image characterization in recommender systems
Acceleration of a feature selection method for biological datasets on CPU clusters
A support system for predicting vine mildew fungus
Optimization of feature selection methods for dealing with high dimensional datasets
Feature selection methods for high dimensional data sets

Research results

Select merit type and year to query research merits.

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

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

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 González, 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)