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Amparo Alonso-Betanzos

Amparo Alonso-Betanzos

D-Index & Metrics

Computer Science

D-Index
41
Citations
9515
World Ranking
8678
National Ranking
126

Overview

Amparo Alonso-Betanzos is affiliated with the University of A Coruña in Spain and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their scholarly output includes 64 publications primarily centered around machine learning, data classification, and related domains.

The research spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Information Systems
  • Molecular Biology

Main topics addressed in their research include:

  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Imbalanced Data Classification Techniques
  • Recommender Systems and Techniques
  • Advanced Image and Video Retrieval Techniques
  • Caching and Content Delivery

Among the recent papers authored or coauthored by Amparo Alonso-Betanzos are:

  • "A review of green artificial intelligence: Towards a more sustainable future", 2024, Neurocomputing
  • "Community detection and social network analysis based on the Italian wars of the 15th century", 2020, Future Generation Computer Systems
  • "Scalable feature selection using ReliefF aided by locality-sensitive hashing", 2021, International Journal of Intelligent Systems
  • "Applying machine learning to detect early stages of cardiac remodelling and dysfunction", 2020, European Heart Journal - Cardiovascular Imaging
  • "How important is data quality? Best classifiers vs best features", 2021, Neurocomputing

Frequent collaboration partners in their work include:

  • Bertha Guijarro-Berdiñas
  • Verónica Bolón-Canedo
  • Brais Cancela
  • Carlos Eiras-Franco
  • Jorge Paz-Ruza

Their publications have appeared in several notable venues, notably:

  • arXiv (Cornell University)
  • Procedia Computer Science
  • Neurocomputing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Expert Systems

Best Publications

  • A review of feature selection methods on synthetic data

    Verónica Bolón-Canedo;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

  • A review of microarray datasets and applied feature selection methods

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos;J. M. Benítez

  • Filter methods for feature selection: a comparative study

    Noelia Sánchez-Maroño;Amparo Alonso-Betanzos;María Tombilla-Sanromán

  • Ensembles for feature selection: A review and future trends

    Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Feature selection for high-dimensional data

    Unknown

  • Feature Selection for High-Dimensional Data

    Vernica Boln-Canedo;Noelia Snchez-Maroo;Amparo Alonso-Betanzos

  • Recent advances and emerging challenges of feature selection in the context of big data

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • Ensemble feature selection: Homogeneous and heterogeneous approaches

    Borja Seijo-Pardo;Iago Porto-Díaz;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Feature selection and classification in multiple class datasets

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • Automatic bearing fault diagnosis based on one-class ν -SVM

    Diego FernáNdez-Francos;David MartíNez-Rego;Oscar Fontenla-Romero;Amparo Alonso-Betanzos

  • An ensemble of filters and classifiers for microarray data classification

    V. BolóN-Canedo;N. SáNchez-MaroñO;A. Alonso-Betanzos

  • Distributed feature selection

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

    Sergio Ramírez-Gallego;Iago Lastra;David Martínez-Rego;Verónica Bolón-Canedo

  • An intelligent system for forest fire risk prediction and fire fighting management in Galicia

    Amparo Alonso-Betanzos;Oscar Fontenla-Romero;Bertha Guijarro-Berdiñas;Elena Hernández-Pereira

  • Data discretization: taxonomy and big data challenge

    Sergio Ramírez-Gallego;Salvador García;Héctor Mouriño-Talín;David Martínez-Rego;David Martínez-Rego

  • A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis

    Enrique Castillo;Bertha Guijarro-Berdiñas;Oscar Fontenla-Romero;Amparo Alonso-Betanzos

  • A new method for sleep apnea classification using wavelets and feedforward neural networks

    Oscar Fontenla-Romero;Bertha Guijarro-Berdiñas;Amparo Alonso-Betanzos;Vicente Moret-Bonillo

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

    Sergio Ramirez-Gallego;Hector Mourino-Talin;David Martinez-Rego;Veronica Bolon-Canedo

  • Data classification using an ensemble of filters

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • A framework for cost-based feature selection

    Verónica Bolón-Canedo;Iago Porto-Díaz;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

  • On developing an automatic threshold applied to feature selection ensembles

    Borja Seijo-Pardo;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

Frequent Co-Authors

Verónica Bolón-Canedo
Verónica Bolón-Canedo University of A Coruña
Enrique Castillo
Enrique Castillo University of Cantabria
Francisco Herrera
Francisco Herrera University of Granada
Deniz Erdogmus
Deniz Erdogmus Northeastern University
José Manuel Benítez
José Manuel Benítez University of Granada
Linda Steg
Linda Steg University of Groningen
Alicia Troncoso
Alicia Troncoso Pablo de Olavide University
David Uzzell
David Uzzell University of Surrey
Tarsy Carballas
Tarsy Carballas Spanish National Research Council
Marino Bonaiuto
Marino Bonaiuto Sapienza University of Rome

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