World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
13552
World Ranking
11879
National Ranking
209

Overview

Iñaki Inza is a researcher affiliated with the University of the Basque Country in Spain. Their academic work spans multiple fields, with primary focus on Biochemistry, Genetics and Molecular Biology, alongside significant contributions in Computer Science.

Their research also engages various subfields such as Molecular Biology, Artificial Intelligence, Atmospheric Science, Radiology, Nuclear Medicine and Imaging, and Electrical and Electronic Engineering.

Key topics addressed in their publications include:

  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • COVID-19 diagnosis using AI
  • Meteorological Phenomena and Simulations
  • Hydrological Forecasting Using AI
  • Precipitation Measurement and Analysis
  • Extracellular vesicles in disease

Iñaki Inza has published research in a variety of scholarly venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Advances in Modeling Earth Systems
  • GigaScience
  • IEEE Transactions on Knowledge and Data Engineering
  • Neurocomputing

Notable recent publications include:

  • Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics, 2020, Journal of Advances in Modeling Earth Systems
  • Triku: a feature selection method based on nearest neighbors for single-cell data, 2022, GigaScience
  • Triku: a feature selection method based on nearest neighbors for single-cell data, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • SNDProb: A probabilistic approach for streaming novelty detection, 2022, IEEE Transactions on Knowledge and Data Engineering
  • Extending the learning using privileged information paradigm to logistic regression, 2024, Neurocomputing

The researcher has collaborated frequently with several authors, including:

  • José A. Lozano
  • Mario Martínez-García
  • Susana García-Gutiérrez
  • Alex M. Ascensión
  • Olga Ibáñez-Solé

Best Publications

  • A review of feature selection techniques in bioinformatics

    Yvan Saeys;Iñaki Inza;Pedro Larrañaga

  • Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators

    P. Larrañaga;C. M. H. Kuijpers;R. H. Murga;I. Inza

  • Machine learning in bioinformatics

    Pedro Larrañaga;Borja Calvo;Roberto Santana;Concha Bielza

  • Filter versus wrapper gene selection approaches in DNA microarray domains

    Iñaki Inza;Pedro Larrañaga;Rosa Blanco;Antonio J. Cerrolaza

  • Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing)

    Jose A. Lozano;Pedro Larrañaga;Iñaki Inza;Endika Bengoetxea

  • Towards a New Evolutionary Computation

    Jose A. Lozano;Pedro Larrañaga;Iñaki Inza;Endika Bengoetxea

  • Feature subset selection by Bayesian network-based optimization

    I. Inza;P. Larrañaga;R. Etxeberria;B. Sierra

  • Differential micro RNA expression in PBMC from multiple sclerosis patients.

    David Otaegui;Sergio E. Baranzini;Rubén Armañanzas;Borja Calvo

  • Bayesian classifiers based on kernel density estimation: Flexible classifiers

    Unknown

  • Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes

    Aritz Pérez;Pedro Larrañaga;Iñaki Inza

  • Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

    Jonathan Ortigosa-Hernández;Juan Diego Rodríguez;Leandro Alzate;Manuel Lucania

  • Dealing with the evaluation of supervised classification algorithms

    Guzman Santafe;Iñaki Inza;Jose A. Lozano

  • A review of estimation of distribution algorithms in bioinformatics

    Rubén Armañanzas;Iñaki Inza;Roberto Santana;Yvan Saeys

  • Machine learning: an indispensable tool in bioinformatics.

    Iñaki Inza;Borja Calvo;Rubén Armañanzas;Endika Bengoetxea

  • Gene selection by sequential search wrapper approaches in microarray cancer class prediction

    Iñaki Inza;Basilio Sierra;Rosa Blanco;Pedro Larrañaga

  • Gene selection for cancer classification using wrapper approaches

    Rosa Blanco;Pedro Larrañaga;Iñaki Inza;Basilio Sierra

  • Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS

    Rosa Blanco;Iñaki Inza;Marisa Merino;Jorge Quiroga

  • Learning Bayesian networks in the space of structures by estimation of distribution algorithms

    Rosa Blanco;Iñaki Inza;Pedro Larrañaga

  • Weak supervision and other non-standard classification problems

    Jerónimo Hernández-González;Iñaki Inza;Jose A. Lozano

  • Fish recruitment prediction, using robust supervised classification methods

    Jose Antonio Fernandes;Xabier Irigoien;Nerea Goikoetxea;Jose Antonio Lozano

  • Feature subset selection by genetic algorithms and estimation of distribution algorithms

    I. Inza;M. Merino;P. Larrañaga;J. Quiroga

Frequent Co-Authors

Jose A. Lozano
Jose A. Lozano Basque Center for Applied Mathematics
Pedro Larrañaga
Pedro Larrañaga Technical University of Madrid
Yvan Saeys
Yvan Saeys Ghent University
Concha Bielza
Concha Bielza Technical University of Madrid
Luigi Renzullo
Luigi Renzullo Commonwealth Scientific and Industrial Research Organisation
Sergio E. Baranzini
Sergio E. Baranzini University of California, San Francisco
Marcos López-Hoyos
Marcos López-Hoyos Marqués de Valdecilla University Hospital
Albert van Dijk
Albert van Dijk Australian National University
Carmen Navarro
Carmen Navarro Instituto de Salud Carlos III
Yves Van de Peer
Yves Van de Peer Ghent University

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