PhD Verónica Bolón Canedo  

(TIT-UN)

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
Teaching merits evaluation 1 five years period(s)
Research merits evaluation 2 six years period(s)
Contacto UDC directory
Orcid id0000-0002-0524-6427 ResearcherIDA-5573-2015 Scopus35145404000

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 0 8
Intelligent Systems 0 136
Machine Learning III 0 15
Master's Dissertation 0 3.33333333333333
Subject and involved studies Distance hours Total hours
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
0 6.66
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
Master's in Computer Engineering
0 95
Machine Learning III
Degree in Data Science and Engineering
0 15
Subject and involved studies Distance hours Total hours
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
0 4
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 107
Legal Procedure and ICT
Master in Digital and Artificial Intelligence Law
0 2.5
Legal Relations in the Digital Society
Master in Digital and Artificial Intelligence Law
0 1
Subject and involved studies Distance hours Total hours
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
0 10
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 118
Master's Dissertation
Master in Bioinformatics for Health Sciences
0 4
Subject and involved studies Distance hours Total hours
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 110
Subject and involved studies Distance hours Total hours
Computer Science Preliminaries
Degree in Computer Engineering
0 13
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 150.5

Defined tutoring by teacher for 2022/2023 academic course.

Faculty of Computer Science

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 Monday
15:30 a 16:30
Teams (Virtual)
2nd quarter Wednesday
15:30 a 16:30
Teams (Virtual)
2nd quarter Friday
10:30 a 12:30
Teams (Virtual)
2nd chance Monday
10:00 a 11:00
Teams (Virtual)
2nd chance Thursday
10:00 a 11:00
Teams (Virtual)

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 Educación
Main researches Amparo Alonso Betanzos
Type Proyecto Programas Autonomicos
Dates From 01/01/2022 to 20/11/2025

Algoritmos de selección de características verdes y rápidos

Funding entity Ministerio de Ciencia e Innovación
Main researches Verónica Bolón Canedo
Type Proyecto Programas Nacionales
Dates From 01/12/2022 to 30/11/2024

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

ASIMETRÍAS DE GÉNERO EN LA COMUNICACIÓN POLÍTICA DIGITAL. PRÁCTICAS, ESTRUCTURAS DE PODER Y VIOLENCIAS EN LA TUITESFERA ESPAÑOLA

Funding entity INSTITUTO DE LA MUJER. MINISTERIO DE IGUALDAD
Main researches María Teresa Piñeiro Otero
Type Proyecto Otros Programas
Dates From 01/01/2022 to 31/12/2023

Evaluación del riesgo asociado a la exposición a nanomateriales: estrategias toxicológicas in vitro, in vivo e in silico

Funding entity Ministerio de Ciencia e Innovación
Main researches Vanessa Valdiglesias García
Type Proyecto Programas Nacionales
Dates From 01/09/2021 to 31/08/2024

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 30/06/2020

Optimización de métodos de selección de características basados en información mutua para arquitecturas software no convencionales

Funding entity Centro de Investigación en Tecnoloxías da Información e as Comunicacións (CITIC)
Main researches Verónica Bolón
Type Proyecto Otros Programas
Dates From 15/07/2018 to 07/05/2019

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

How important is data quality? Best classifiers vs best features

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal Neurocomputing Vol. 470 (pages 365 to 375)

Machine Learning Methods for Predicting League of Legends Game Outcome

Authors Juan-Agustín Hitar-García, Laura Morán-Fernández, Verónica Bolón-Canedo
Journal IEEE Transactions on Games
DOI https://doi.org/10.1109/tg.2022.3153086

Low-precision feature selection on microarray data: an information theoretic approach

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING Vol. 60 (pages 1333 to 1345)
DOI https://doi.org/10.1007/s11517-022-02508-0

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

E2E-FS: An End-to-End Feature Selection Method for Neural Networks

Authors Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
DOI https://doi.org/10.1109/tpami.2022.3228824.

Data-Driven Predictive Maintenance Framework for Railway systems

Authors Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama
Journal Intelligent Data Analysis

Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences

Authors Jorge Meira, João Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Paulo Novais, Goreti Marreiros
Journal Electronics Vol. 11 Num. 5
DOI https://doi.org/10.3390/electronics11050779

Dealing with heterogeneity in the context of distributed feature selection for classification

Authors José Luis Morillo-Salas, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal Knowledge and Information Systems Vol. 63 (pages 233 to 276)

Machine learning techniques to predict different levels of hospital care of CoVid-19

Authors Elena Hernandez-Pereira, Óscar Fontenla-Romero, Verónica Bolón-Canedo, Brais Cancela, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Journal APPLIED INTELLIGENCE Vol. 52 (pages 6413 to 6431)
DOI https://doi.org/10.1007/s10489-021-02743-2

A scalable saliency-based feature selection method with instance-level information

Authors Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
Journal Knowledge-Based Systems Vol. 192 (pages 105326-1 to 105326-13)

Feature selection with limited bit depth mutual information for portable embedded systems

Authors Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
Journal Knowledge-Based Systems Vol. 197
DOI https://doi.org/10.1016/j.knosys.2020.105885

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

Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry

Authors Marta Fernandes, Alda Canito, Verónica Bolón-Canedo, Luís Conceição, Isabel Praça, Goreti Marreiros
Journal INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT Vol. 46 (pages 252 to 262)

Ensembles for feature selection: A review and future trends

Authors Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal Information Fusion Vol. 52 (pages 1 to 12)

Biases in feature selection with missing data

Authors Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon
Journal Neurocomputing Vol. 342 (pages 97 to 112)

Insights into distributed feature ranking

Authors Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
Journal INFORMATION SCIENCES Vol. 496 (pages 378 to 398)

A review of feature selection methods in medical applications

Authors Beatriz Remeseiro, Verónica Bolón-Canedo
Journal COMPUTERS IN BIOLOGY AND MEDICINE Vol. 112

Feature selection in image analysis: a survey

Authors Verónica Bolón-Canedo, Beatriz Remeseiro
Journal ARTIFICIAL INTELLIGENCE REVIEW Vol. 53 (pages 2905 to 2931)
DOI https://doi.org/10.1007/s10462-019-09750-3

CUDA-JMI: Acceleration of Feature Selection on Heterogeneous Systems

Authors Jorge González Domínguez, Roberto R. Expósito, Verónica Bolón-Canedo
Journal FUTURE GENERATION COMPUTER SYSTEMS Vol. 102 (pages 426 to 436)

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

Authors Jorge Meira, Rui Andrade, Isabel Praça, João Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Goreti Marreiros
Journal Journal of Ambient Intelligence and Humanized Computing

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

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark

Authors Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
Journal IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 48 Num. 9 (pages 1441 to 1453)

On the use of different base classifiers in multiclass problems

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal PROGRESS IN ARTIFICIAL INTELLIGENCE Vol. 6 (pages 315 to 323)
DOI https://doi.org/10.1007/s13748-017-0126-4

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

On the use of different base classifiers in multiclass problems

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal PROGRESS IN ARTIFICIAL INTELLIGENCE Vol. 6 Num. 4 (pages 315 to 323)
DOI https://doi.org/10.1007/s13748-017-0126-4

Testing different ensemble configurations for feature selection

Authors Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal NEURAL PROCESSING LETTERS Vol. 46 Num. 3 (pages 857 to 880)
DOI https://doi.org/10.1007/s11063-017-9619-1

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)

Microarray Bioinformatics Methods in Molecular Biology

Editors Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Publishing Humana, New York, NY, ()
ISBN 978-1-4939-9442-7

Recent Advances in Ensembles for Feature Selection (Intelligent Systems Reference Library)

Authors Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Editors Kacprzyk, J., Lakhmi C. Jain
Publishing Springer - Verlag, (España)
ISBN 978-3-319-90079-7

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

Case Studies to Demonstrate Real-World Applications in Ophthalmic Image Analysis

Authors Beatriz Remeseiro. Verónica Bolón-Canedo
Book Handbook of Artificial Intelligence in Healthcare
Publishing: Springer.
ISBN: 978-3-030-79161-2
Pages From 83 to 125

Challenges and Future Trends for Microarray Analysis

Authors Verónica Bolón-Canedo. Amparo Alonso-Betanzos. I. López-de-Ullibarri. R. Cao
Book Microarray Bioinformatics
Publishing: Springer.
ISBN: 978-1-4939-9441-0
Pages From 283 to 293

A Review of Microarray Datasets: Where to Find Them and Specific characteristics

Authors Amparo Alonso-Betanzos. Verónica Bolón-Canedo. Laura Morán-Fernández. Noelia Sánchez-Maroño
Book Microarray Bioinformatics
Publishing: Springer.
ISBN: 978-1-4939-9441-0
Pages From 65 to 85

Feature selecion applied to microarray data

Authors Amparo Alonso-Betanzos. Verónica Bolón-Canedo. Laura Morán-Fernández. Borja Seijo-Pardo
Book Microarray Bioinformatics
Publishing: Springer.
ISBN: 978-1-4939-9441-0
Pages From 123 to 152

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

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 Cum Laude

Less is more: Low-precision feature selection for wearables
International Joint Conference on Neural Networks (IJCNN 2022)
International

Authors Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Padua (Italia)
DOI https://doi.org/10.1109/ijcnn55064.2022.9892143

Feature selection for transfer learning using particle swarm optimization and complexity measures
30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022)
International

Authors Guillermo Castillo-García, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Brujas (Bélgica)
DOI https://doi.org/10.14428/esann/2022.es2022-57

The role of feature selection in personalized recommender systems
30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022)
International

Authors Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro
Place Brujas (Bélgica)
DOI https://doi.org/10.14428/esann/2022.es2022-43

When the best reviews are not placed between extremes
International Joint Conference on Neural Networks (IJCNN 2022)
International

Authors Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo
Place Padua (Italia)
DOI https://doi.org/10.1109/ijcnn55064.2022.9892131

Reduced precision discretization based on information theory
26th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2022)
International

Authors Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo
Organization KES International
Place Verona (Italia)
DOI https://doi.org/10.1016/j.procs.2022.09.144

A Delayed Elastic-Net Approach for Performing Adversarial Attacks
25th International Conference on Pattern Recognition (ICPR 2020)
International

Authors Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Organization IEEE Communitation Society
Place Milán (Italia)

Can Data Placement Be Effective for Neural Networks Classification Tasks? Introducing the Orthogonal Loss
25th International Conference on Pattern Recognition (ICPR 2020)
International

Authors Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Organization IEEE Communitation Society
Place Milán (Italia)

Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?
International Work-Conference on Artificial Neural Networks (IWANN 2021). Lecture Notes in Computer Science
International

Authors Laura Morán-Fernández, Verónica Bolón-Canedo
Place Granada (España)

Nuevas aproximaciones de aprendizaje por transferencia en sistemas de recomendación
XIX Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA 20/21
National

Authors Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo
Organization Asociación Española para la Inteligencia Artificial
Place Málaga (España)

Personalización de Recomendaciones en TripAdvisor Usando Deep Learning
X Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA-CAEPIA)
National

Authors Iñigo Luis López-Riobóo Botana, Amparo Alonso Betanzos, Verónica Bolón Canedo, Antonio Bahamonde Rionda
Place Málaga (España)

On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems
III XoveTIC 2020
International

Authors Eva Blanco-Mallo, Beatriz Remeseiro López, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Organization Centro de Investigación en Tecnoloxías da Información e as Comunicacións (CITIC)
Place Coruña, A (España)

Do we need hundreds of classifiers of a good feature selection?
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2020)
International

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Bruselas (Bélgica)

When size matters: Markov Blanket with limited bit depth conditional mutual information
Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2020) - In conjunction with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)
International

Authors Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
Place Gante (Bélgica)

Only for your eyes: Visualizing the results of a personalized recommendation system
Art and Artificial Intelligence: a disruptive joint venture - (Art)^2Int (ECAI 2020 Workshop)
International

Authors Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Santiago de Compostela (España)

Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization
19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020)
International

Authors Hassen Dhrif, Verónica Bolón-Canedo, Stefan Wuchty
Place Miami (Estados Unidos)
DOI https://doi.org/10.1109/icmla51294.2020.00206

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)

Feature selection with limited bit depth mutual information for embedded systems
XoveTIC 2018
Autonomous

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Organization Centro de Investigación en Tecnoloxías da Información e as Comunicacións (CITIC)
Place Coruña, A (España)

Uso de técnicas de Saliency para Selección de Características
II Workshop en Big Data y Análisis de Datos Escalable - CAEPIA 2018
National

Authors Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Granada (España)

Análisis de algoritmos de cuantificación basados en ajuste de distribuciones
IX Simposio de Teoría y Aplicaciones de la Minería de Datos - CAEPIA
National

Authors Alberto Castaño, Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Granada (España)

Selección de características distribuidas en entornos heterogéneos
IX Simposio de Teoría y Aplicaciones de la Minería de Datos - CAEPIA
National

Authors Verónica Bolón-Canedo, Rubén Seoane-Martínez, José Luis Morillo-Salas, Amparo Alonso-Betanzos
Place Granada (España)

Feature Selection for Big Visual Data: Overview and Challenges
15th International Conference on Image Analysis and Recognition (ICIAR 2018)
International

Authors Verónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela
Place Povoa de Varzim (Portugal)

Analysis of imputation bias for feature selection with missing data
26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2018)
International

Authors Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed
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)

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)

Positions

Academic or management positions held by teacher.

Xunta da Facultade de Informática

PDI (Membros Natos)

From 02/07/2021.

Consello do Departamento Ciencias da Computación e Tecnoloxías da Información

PDI (Membros Natos)