World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8026
World Ranking
12414
National Ranking
228

Overview

Senén Barro is affiliated with the University of Santiago de Compostela in Spain and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and its applications. Their research spans several subfields including artificial intelligence, computer science applications, electrical and electronic engineering, computer vision and pattern recognition, as well as computer networks and communications.

Their recent publications highlight contributions to various areas within these fields. Notable papers include:

  • "AI literacy in K-12: a systematic literature review," 2023, International Journal of STEM Education
  • "Non-IID data and Continual Learning processes in Federated Learning: A long road ahead," 2022, Information Fusion
  • "Concept drift detection and adaptation for federated and continual learning," 2021, Multimedia Tools and Applications
  • "Fast Support Vector Classification for Large-Scale Problems," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Walking Recognition in Mobile Devices," 2020, Sensors

Frequent topics addressed in their work include:

  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Data Stream Mining Techniques
  • Machine Learning and Data Classification
  • Evolutionary Algorithms and Applications
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and ELM (Extreme Learning Machine)

Senén Barro has collaborated with multiple researchers on numerous projects. Regular co-authors include Fernando E. Casado, Roberto Iglesias, Carlos V. Regueiro, Manuel Fernández-Delgado, and Eva Cernadas.

Their research has been published in a variety of venues, reflecting diversity in dissemination channels. These include:

  • arXiv (Cornell University)
  • AEA Randomized Controlled Trials
  • International Journal of STEM Education
  • Information Fusion
  • Multimedia Tools and Applications

Throughout their work, Senén Barro has focused on advancing knowledge in machine learning methodologies and AI applications, particularly in contexts involving data privacy, federated learning, and adaptive learning systems.

Best Publications

  • Do we need hundreds of classifiers to solve real world classification problems?

    Unknown

  • Do we need hundreds of classifiers to solve real world classification problems

    Manuel Fernández-Delgado;Eva Cernadas;Senén Barro;Dinani Amorim

  • An extensive experimental survey of regression methods

    M. Fernández-Delgado;M.S. Sirsat;E. Cernadas;S. Alawadi

  • Algorithmic sequential decision-making in the frequency domain for life threatening ventricular arrhythmias and imitative artefacts: a diagnostic system

    S. Barro;R. Ruiz;D. Cabello;J. Mira

  • Fuzzy Logic in Medicine

    Senen Barro;R. Marin

  • Fuzzy reasoning supported by Petri nets

    A.J. Bugarin;S. Barro

  • A model and a language for the fuzzy representation and handling of time

    Senén Barro;Roque Marín;José Mira;Alfonso R. Patón

  • Classifying multichannel ECG patterns with an adaptive neural network

    S. Barro;M. Fernandez-Delgado;J.A. Vila-Sobrino;C.V. Regueiro

  • Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

    Alejandro Ramos-Soto;Alberto Jose Bugarin;Senen Barro;Juan Taboada

  • A new approach for TU complex characterization

    J.A. Vila;Yi Gang;J.M.R. Presedo;M. Fernandez-Delgado

  • Design of a fuzzy controller in mobile robotics using genetic algorithms

    M. Mucientes;D. L. Moreno;A. Bugarín;S. Barro

  • Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

    Unknown

  • Intelligent telemonitoring of critical-care patients

    S. Barro;J. Presedo;D. Castro;M. Fernandez-Delgado

  • On the role of linguistic descriptions of data in the building of natural language generation systems

    A. Ramos-Soto;A. Bugarín;S. Barro

  • Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

    Marcos F. Criado;Fernando E. Casado;Roberto Iglesias;Carlos V. Regueiro

  • People and machines: Partners in innovation

    S. Barro;T.H. Davenport;T.H. Davenport

  • Concept drift detection and adaptation for federated and continual learning

    Unknown

  • Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

    J. A. Rodriguez-Gonzalez;F. Ares-Pena;M. Fernandez-Delgado;R. Iglesias

  • SUTIL: Intelligent ischemia monitoring system

    J. Vila;J. Presedo;M. Delgado;S. Barro

  • Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

    Manuel Fernández-Delgado;Eva Cernadas;Senén Barro;Jorge Ribeiro

  • A framework for fuzzy quantification models analysis

    S. Barro;A.J. Bugarin;P. Carinena;F. Diaz-Hermida

  • Fuzzy temporal rules for mobile robot guidance in dynamic environments

    M. Mucientes;R. Iglesias;C.V. Regueiro;A. Bugarin

  • A fuzzy temporal rule-based velocity controller for mobile robotics

    M. Mucientes;R. Iglesias;C. V. Regueiro;A. Bugarín

  • Element failure detection in linear antenna arrays using case-based reasoning

    R. Iglesias;F. Ares;M. Fernandez-Delgado;J. Rodriguez

Frequent Co-Authors

J. Uceda
J. Uceda Technical University of Madrid

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