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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
22257
World Ranking
3541
National Ranking
47

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2021 - IEEE Fellow For contributions to the estimation of distribution algorithms in evolutionary computation

Overview

Jose A. Lozano is affiliated with the Basque Center for Applied Mathematics in Spain and has a research record concentrated primarily in the field of Computer Science, with 141 publications. Their subfields of study notably include Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Industrial and Manufacturing Engineering, and Computer Networks and Communications.

Their research covers a range of topics, including:

  • Anomaly Detection Techniques and Applications
  • Metaheuristic Optimization Algorithms Research
  • Time Series Analysis and Forecasting
  • Adversarial Robustness in Machine Learning
  • Data Stream Mining Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Network Security and Intrusion Detection

Jose A. Lozano has contributed to various publication venues, frequently publishing in:

  • arXiv (Cornell University)
  • ACM Computing Surveys
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Knowledge and Data Engineering
  • Knowledge-Based Systems

Among recent papers are:

  • A Review on Outlier/Anomaly Detection in Time Series Data, 2021, ACM Computing Surveys
  • Probabilistic Load Forecasting Based on Adaptive Online Learning, 2021, IEEE Transactions on Power Systems
  • An efficient K-means clustering algorithm for tall data, 2020, Data Mining and Knowledge Discovery
  • Mutual information based feature subset selection in multivariate time series classification, 2020, Pattern Recognition
  • Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics, 2020, Journal of Advances in Modeling Earth Systems

Jose A. Lozano has collaborated frequently with several co-authors including Roberto Santana, Aritz Pérez, Josu Ceberio, Usue Mori, and Iñaki Inza, reflecting a network of ongoing research partnerships.

In addition, they have contributed to book publications under Springer Science+Business Media, with six titles mainly from 2021. These include works focused on machine learning and knowledge discovery in databases as well as program analysis.

Jose A. Lozano received the IEEE Fellow award in 2021 for contributions to the estimation of distribution algorithms in evolutionary computation.

Best Publications

  • Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation

    Pedro Larraanaga;Jose A. Lozano

  • Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

    J.D. Rodriguez;A. Perez;J.A. Lozano

  • Estimation of Distribution Algorithms

    Pedro Larrañaga;Jose A. Lozano

  • Parallel Problem Solving from Nature - PPSN VIII

    Xin Yao;Edmund K. Burke;José A. Lozano;Jim Smith

  • An empirical comparison of four initialization methods for the K-Means algorithm

    J.M Peña;J.A Lozano;P Larrañaga

  • Machine learning in bioinformatics

    Pedro Larrañaga;Borja Calvo;Roberto Santana;Concha Bielza

  • A Review on Outlier/Anomaly Detection in Time Series Data

    Ane Blázquez-García;Angel Conde;Usue Mori;Jose A. Lozano

  • A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments

    Tania Lorido-Botran;Jose Miguel-Alonso;Jose A. Lozano

  • 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

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

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

  • Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks

    Pedro Larrañaga;Ramón Etxeberria;Jose Antonio Lozano;Jose Manuel Peña

  • A review on distance based time series classification

    Amaia Abanda;Amaia Abanda;Usue Mori;José Antonio Lozano;José Antonio Lozano

  • A review of travel time estimation and forecasting for Advanced Traveller Information Systems

    Usue Mori;Alexander Mendiburu;Maite Álvarez;Jose Antonio Lozano

  • An efficient approximation to the K-means clustering for massive data

    Marco Capó;Aritz Pérez;Jose A. Lozano

  • Multi-start Methods.

    Rafael Martí;José Antonio Lozano;Alexander Mendiburu;Leticia Hernando

  • Protein Folding in Simplified Models With Estimation of Distribution Algorithms

    R. Santana;P. Larranaga;J.A. Lozano

  • Auto-scaling Techniques for Elastic Applications in Cloud Environments

    Tania Lorido-Botrán;José Miguel-Alonso;Jose Antonio Lozano

  • Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions

    Abolfazl Shirazi;Josu Ceberio;Jose A. Lozano;Jose A. Lozano

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

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

  • Combinatorial optimization by learning and simulation of Bayesian networks

    Pedro Larrañaga;Ramon Etxeberria;Jose Antonio Lozano;Jose Manuel Peña

Frequent Co-Authors

Pedro Larrañaga
Pedro Larrañaga Technical University of Madrid
Iñaki Inza
Iñaki Inza University of the Basque Country
Christian Blum
Christian Blum Spanish National Research Council
Mariano Alcañiz
Mariano Alcañiz Universitat Politècnica de València
Javier Del Ser
Javier Del Ser University of the Basque Country
Eleazar Eskin
Eleazar Eskin University of California, Los Angeles
Manuel Graña
Manuel Graña University of the Basque Country
Xin Yao
Xin Yao Lingnan University
Concha Bielza
Concha Bielza Technical University of Madrid
Cristina Botella
Cristina Botella Jaume I University

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