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Computer Science

D-Index
39
Citations
8105
World Ranking
9624
National Ranking
151

Overview

Ignacio Rojas is affiliated with the University of Granada in Spain and has contributed extensively to the fields of Biochemistry, Genetics and Molecular Biology, Medicine, and Computer Science. Their research encompasses a range of subfields including Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, and Cancer Research.

The main topics of Rojas's work focus on:

  • AI in cancer detection
  • Gene expression and cancer classification
  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI
  • Machine Learning in Bioinformatics
  • Artificial Intelligence in Healthcare
  • Anomaly Detection Techniques and Applications

Rojas's recent publications include the following papers:

  • "Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis", 2022, Journal of Personalized Medicine
  • "Estimation of COVID-19 dynamics in the different states of the United States using Time-Series Clustering", 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge", 2021, Computers in Biology and Medicine
  • "Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion", 2021, BMC Bioinformatics
  • "Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning", 2021, Neural Processing Letters

Frequent co-authors in Rojas's publications include:

  • Luis Javier Herrera
  • Olga Valenzuela
  • Daniel Castillo-Secilla
  • Francisco Carrillo-Pérez
  • Fernando Rojas

The main venues where Rojas regularly publishes are:

  • Neural Processing Letters
  • Current Bioinformatics
  • SSRN Electronic Journal
  • Journal of Personalized Medicine
  • BMC Bioinformatics

Ignacio Rojas has also contributed to book publications, including works published by Springer Science+Business Media and Contributions to Statistics. Notable titles include:

  • Bioengineering and Biomedical Signal and Image Processing (2021), Springer Science+Business Media
  • Advances in Computational Intelligence (2021), Springer Science+Business Media
  • Theory and Applications of Time Series Analysis and Forecasting (2023), Contributions to Statistics

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

  • Prenatal detection of velamentous insertion of the umbilical cord: a prospective color Doppler ultrasound study

    W. Sepulveda;I. Rojas;J. A. Robert;C. Schnapp

  • 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

  • Self-organized fuzzy system generation from training examples

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

  • Neural networks

    Alberto Prieto;Beatriz Prieto;Eva Martinez Ortigosa;Eduardo Ros

  • 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

  • Structure identification in complete rule-based fuzzy systems

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

Frequent Co-Authors

Héctor Pomares
Héctor Pomares University of Granada
Alberto Prieto
Alberto Prieto University of Granada
Carlos G. Puntonet
Carlos G. Puntonet University of Granada
Eduardo Ros
Eduardo Ros Max Planck Society
Amaury Lendasse
Amaury Lendasse University of Houston
Hani Hagras
Hani Hagras University of Essex
Eduardo Ros
Eduardo Ros University of Granada
Sungyoung Lee
Sungyoung Lee Kyung Hee University
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Francisco Liébana-Cabanillas
Francisco Liébana-Cabanillas University of Granada

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