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Héctor Pomares

Héctor Pomares

D-Index & Metrics

Computer Science

D-Index
36
Citations
6765
World Ranking
11118
National Ranking
182

Overview

Héctor Pomares is affiliated with the University of Granada in Spain and has contributed to research primarily in the fields of Psychology and Medicine. Their work intersects with subfields such as Experimental and Cognitive Psychology, Clinical Psychology, Neurology, Oncology, and Electrical and Electronic Engineering.

The scientist's research covers a spectrum of topics including:

  • Mental Health Research Topics
  • COVID-19 and Mental Health
  • Long-Term Effects of COVID-19
  • Cancer survivorship and care
  • Context-Aware Activity Recognition Systems
  • Indoor and Outdoor Localization Technologies
  • Non-Invasive Vital Sign Monitoring

Recent papers by this researcher include:

  • "Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning," 2021, Neural Processing Letters
  • "ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients With Cancer," 2021, IEEE Access
  • "CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain," 2020, Scientific Data
  • "Bistability and affect shift dynamics in the prediction of psychological well-being," 2024, Emotion
  • "The CoVidAffect dataset of mood variations following the COVID-19 outbreak in Spain," 2020, Zenodo (CERN European Organization for Nuclear Research)

Frequent co-authors collaborating with Héctor Pomares include:

  • Oresti Baños
  • Miguel Damas
  • Carlos Bailón
  • Carmen Goicoechea
  • Daniel Sanabria

Publication venues where this scientist has contributed multiple works include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Neural Processing Letters
  • IEEE Access
  • Scientific Data

Héctor Pomares has also published books with established academic publishers. These include:

  • Bioengineering and Biomedical Signal and Image Processing, published by Springer Science+Business Media in 2021
  • Theory and Applications of Time Series Analysis and Forecasting, published by Contributions to statistics in 2023

Best Publications

  • Window Size Impact in Human Activity Recognition

    Oresti Baños;Juan Manuel Galvez;Miguel Damas;Héctor Pomares

  • mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications

    Oresti Banos;Rafael Garcia;Juan A. Holgado-Terriza;Miguel Damas

  • Design, implementation and validation of a novel open framework for agile development of mobile health applications.

    Oresti Banos;Oresti Banos;Claudia Villalonga;Rafael Garcia;Alejandro Saez

  • Soft-computing techniques and ARMA model for time series prediction

    I. Rojas;O. Valenzuela;F. Rojas;A. Guillen

  • Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation

    J. Gonzalez;I. Rojas;J. Ortega;H. Pomares

  • Hybridization of intelligent techniques and ARIMA models for time series prediction

    O. Valenzuela;I. Rojas;F. Rojas;H. Pomares

  • Dental ceramics: a CIEDE2000 acceptability thresholds for lightness, chroma and hue differences

    María del Mar Perez;Razvan Ghinea;Luis Javier Herrera;Ana Maria Ionescu

  • Self-organized fuzzy system generation from training examples

    I. Rojas;H. Pomares;J. Ortega;A. Prieto

  • Time series analysis using normalized PG-RBF network with regression weights

    Ignacio Rojas;Héctor Pomares;José Luis Bernier;Julio Ortega

  • Dealing with the effects of sensor displacement in wearable activity recognition.

    Oresti Banos;Mate Attila Toth;Miguel Damas;Hector Pomares

  • A benchmark dataset to evaluate sensor displacement in activity recognition

    Oresti Baños;Miguel Damas;Héctor Pomares;Ignacio Rojas

  • Statistical analysis of the main parameters involved in the design of a genetic algorithm

    I. Rojas;J. Gonzalez;H. Pomares;J.J. Merelo

  • Daily living activity recognition based on statistical feature quality group selection

    Oresti Banos;Miguel Damas;Hector Pomares;Alberto Prieto

  • PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring

    Oresti Banos;Claudia Villalonga;Miguel Damas;Peter Gloesekoetter

  • A systematic approach to a self-generating fuzzy rule-table for function approximation

    H. Pomares;I. Rojas;J. Ortega;J. Gonzalez

  • A heuristic method for parameter selection in LS-SVM: Application to time series prediction

    Ginés Rubio;Héctor Pomares;Ignacio Rojas;Luis Javier Herrera

  • TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

    L. J. Herrera;H. Pomares;I. Rojas;O. Valenzuela

  • Recursive prediction for long term time series forecasting using advanced models

    L. J. Herrera;H. Pomares;I. Rojas;A. Guillén

  • Human activity recognition based on a sensor weighting hierarchical classifier

    Oresti Banos;Miguel Damas;Hector Pomares;Fernando Rojas

  • Structure identification in complete rule-based fuzzy systems

    H. Pomares;I. Rojas;J. Gonzalez;A. Prieto

  • Theoretical analysis and practical insights on importance sampling in Bayesian networks

    Changhe Yuan;Marek J. Druzdzel

Frequent Co-Authors

Ignacio Rojas
Ignacio Rojas University of Granada
Alberto Prieto
Alberto Prieto University of Granada
Hani Hagras
Hani Hagras University of Essex
Eduardo Ros
Eduardo Ros Max Planck Society
Amaury Lendasse
Amaury Lendasse University of Houston
Sungyoung Lee
Sungyoung Lee Kyung Hee University
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Daniel Roggen
Daniel Roggen University of Sussex
Robert Babuska
Robert Babuska Delft University of Technology
Plamen Angelov
Plamen Angelov Lancaster University

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