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PLAN DE FORMACIÓN, INICIACIÓN A LA INVESTIGACIÓN Y CAPTACIÓN DE TALENTO

Alberto Fernández Hilario

Highly Cited Researcher

Universidad de Granada

Highly Cited Researcher en los años 2016 y 2017

Alberto Fernández nació en Cádiz en 1982. Obtuvo el título de Ingeniero y Doctor en Informática por la Universidad de Granada, Granada, España, en 2005 y 2010, respectivamente. Es Profesor Titular de Universidad en el Departamento de Ciencias de la Computación e Inteligencia Artificial desde 2017, e imparte clases en la Facultad de Ciencias y en la E.T.S. de Ingenierías Informática y de Telecomunicación de la Universidad de Granada, España.

Ha recibido el Premio Extraordinario de Tesis Doctoral 2010, en tres ocasiones el Premio a Trabajos de Excelencia de la Universidad de Granada, así como el premio Lofti Zadeh a la mejor publicación en 2009. Sus investigaciones se centran en temas como la clasificación en dominios no balanceados, aprendizaje de reglas difusas, algoritmos evolutivos, problemas de multi-clasificación con Ensembles y técnicas de descomposición y Ciencia de Datos y aplicaciones en Big Data, en los que ha publicado más de 50 trabajos en revistas internacionales ISI, colaborado en más de 20 proyectos y contratos de investigación y 3 tesis doctorales.

Es miembro del comité editorial en un buen número de revistas internacionales como Applied Intelligence, PLOS-One, Progress in Artificial Intelligence, Cognitive Computation and Big Data, y miembro del comité de “referees” de otras tantas revistas ISI como Fuzzy Sets and Systems, IEEE Transactions on Fuzzy Systems, Information Sciences, entre otras.

Según Web of Science de Thomson Reuters su producción científica ha recibido más de 4000 citas, presentando un índice H de 27. En 2017 fue identificado por Clarivate Analytics como uno de los Científicos Altamente Citados y más influyentes en su campo.

Publicaciones

Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction

Statistics

  • 2025
  • journal-article
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A data-morphology-based counterfactual generation method for trustworthy artificial intelligence

Information Sciences

  • 2025
  • journal-article
Assessing the complementary information from an increased number of biologically relevant features in liquid biopsy-derived RNA-Seq data

Heliyon

  • 2024
  • journal-article
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research

Information Fusion

  • 2023
  • journal-article
Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection

International Journal of Molecular Sciences

  • 2023
  • journal-article
Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding

IEEE Transactions on Fuzzy Systems

  • 2023
  • journal-article
Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists

IEEE Reviews in Biomedical Engineering

  • 2023
  • journal-article
A New Exploitation Scheme in the Context of Bipolar Classifiers
  • 2022
  • book-chapter
An efficiency curve for evaluating imbalanced classifiers considering intrinsic data characteristics: Experimental analysis

Information Sciences

  • 2022
  • journal-article
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification

Pattern Recognition

  • 2022
  • journal-article
IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data

IEEE Transactions on Fuzzy Systems

  • 2022
  • journal-article
Multiplex Analysis of CircRNAs from Plasma Extracellular Vesicle-Enriched Samples for the Detection of Early-Stage Non-Small Cell Lung Cancer

Pharmaceutics

  • 2022
  • journal-article
On the joint-effect of class imbalance and overlap: a critical review

Artificial Intelligence Review

  • 2022
  • journal-article
The impact of heterogeneous distance functions on missing data imputation and classification performance

Engineering Applications of Artificial Intelligence

  • 2022
  • journal-article
FDR2-BD: A Fast Data Reduction Recommendation Tool for Tabular Big Data Classification Problems

Electronics

  • 2021
  • journal-article
Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies

Neurocomputing

  • 2021
  • journal-article
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect

Knowledge and Information Systems

  • 2021
  • journal-article
SOUL: Scala Oversampling and Undersampling Library for imbalance classification

SoftwareX

  • 2021
  • journal-article
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach

IEEE International Conference on Fuzzy Systems

  • 2020
  • conference-paper
Discussion on Vuttipittayamongkol, P. and Elyan, E., Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease

International Journal of Neural Systems

  • 2020
  • journal-article
HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules

IEEE International Conference on Fuzzy Systems

  • 2020
  • conference-paper
Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect

ArXiv

  • 2020
  • journal-article
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity

IEEE Transactions on Fuzzy Systems

  • 2019
  • journal-article
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems

Soft Computing

  • 2019
  • journal-article
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing

Communications in Computer and Information Science

  • 2019
  • book-chapter
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

IEEE Computational Intelligence Magazine

  • 2019
  • journal-article
Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems

Studies in Computational Intelligence

  • 2019
  • book-chapter
Guest Editorial: Computational Intelligence for Big Data Analytics

Cognitive Computation

  • 2019
  • journal-article
On the Need of Interpretability for Biomedical Applications: Using Fuzzy Models for Lung Cancer Prediction with Liquid Biopsy

Ieee International Conference on Fuzzy Systems, Fuzz

  • 2019
  • journal-article
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

Information Fusion

  • 2018
  • journal-article
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach

Knowledge and Information Systems

  • 2018
  • journal-article
Imbalance: Oversampling algorithms for imbalanced classification in R

Knowledge-Based Systems

  • 2018
  • journal-article
Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering

IEEE International Conference on Fuzzy Systems

  • 2018
  • conference-paper
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Journal of Artificial Intelligence Research

  • 2018
  • journal-article
SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data

Journal of Computer Science & Technology

  • 2018
  • journal-article
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers

BMC Bioinformatics

  • 2018
  • journal-article
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets

International Journal of Neural Systems

  • 2017
  • journal-article
A Review of Distributed Data Models for Learning

Lecture Notes in Computer Science

  • 2017
  • journal-article
An insight into imbalanced Big Data classification: outcomes and challenges

Complex & Intelligent Systems

  • 2017
  • journal-article
Chi-Spark-RS: an Spark-built Evolutionary Fuzzy Rule Selection Algorithm in Imbalanced Classification for Big Data Problems

IEEE International Conference on Fuzzy Systems

  • 2017
  • conference-paper
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis

Advances in Data Analysis and Classification

  • 2017
  • journal-article
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

International Journal of Computational Intelligence Systems

  • 2017
  • journal-article
NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem

Information Fusion

  • 2017
  • journal-article
Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?

International Journal of Computational Intelligence Systems

  • 2017
  • journal-article
A First Approach in Evolutionary Fuzzy Systems based on the Lateral Tuning of the Linguistic Labels for Big Data Classification

Ieee International Conference on Fuzzy Systems, Fuzz

  • 2016
  • journal-article
A View on Fuzzy Systems for Big Data: Progress and Opportunities

International Journal of Computational Intelligence Systems

  • 2016
  • journal-article
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC)

International Journal of Approximate Reasoning

  • 2016
  • journal-article
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets

Information Sciences

  • 2016
  • journal-article
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets
  • 2015
  • journal-article
A Real-Time Big Data Architecture For Glasses Detection Using Computer Vision Techniques

International Conference on Future Internet of Things and Cloud (Ficloud) and International Conference on Open and Big (Obd)

  • 2015
  • journal-article
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems

Pattern Recognition

  • 2015
  • journal-article
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies

IEEE Transactions on Fuzzy Systems

  • 2015
  • journal-article
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM2017)

  • 2015
  • conference-paper
Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level

Ieee International Conference on Fuzzy Systems, Fuzz

  • 2015
  • journal-article
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems
  • 2015
  • journal-article
On the Impact of Distance-based Relative Competence Weighting Approach in One-vs-One Classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm

Ieee International Conference on Fuzzy Systems, Fuzz

  • 2015
  • journal-article
Unobtrusive Health Monitoring System Using Video-Based Physiological Information and Activity Measurements

International Conference on Computer, Information and Telecommunication Systems

  • 2015
  • conference-paper
Big Data with Cloud Computing: An insight on the computing environment, MapReduce, and programming frameworks

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

  • 2014
  • journal-article
E-learning and educational data mining in cloud computing: an overview

International Journal of Learning Technology

  • 2014
  • journal-article
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems
  • 2014
  • journal-article
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions
  • 2014
  • conference-paper
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed
  • 2014
  • journal-article
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges

Knowledge-Based Systems

  • 2014
  • journal-article
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets
AUTHORS: Fernandez, Alberto, Herrera, Francisco, Jose del Jesus, Maria, Lopez, Victoria

Knowledge-Based Systems

  • 2013
  • journal-article
Addressing covariate shift for genetic fuzzy systems classifiers: A case of study with FARC-HD for imbalanced datasets
  • 2013
  • conference-paper
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

Information Sciences

  • 2013
  • journal-article
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing

7TH INTERNATIONAL CONFERENCE ON KNOWLEDGE MANAGEMENT IN ORGANIZATIONS: SERVICE AND CLOUD COMPUTING

  • 2013
  • journal-article
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
AUTHORS: Fernandez, A., Galar, M., Herrera, F., Lopez, V., del Jesus, M. J.

Knowledge-Based Systems

  • 2013
  • journal-article
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers
  • 2013
  • journal-article
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
  • 2013
  • journal-article
IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection
AUTHORS: Bustince, H., Fernandez, A., Herrera, F., Sanz, J. A.

Ieee Transactions on Fuzzy Systems

  • 2013
  • journal-article
A review on ensembles for the class imbalance problem: Bagging-, boosting-, and hybrid-based approaches
AUTHORS: Barrenechea, Edurne, Bustince, Humberto, Fernandez, Alberto, Galar, Mikel, Herrera, Francisco

Ieee Transactions on Systems Man and Cybernetics Part C-Applications and Reviews

  • 2012
  • journal-article
An Overview of E-Learning in Cloud Computing

Advances in Intelligent Systems and Computing

  • 2012
  • journal-article
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
AUTHORS: Fernandez, Alberto, Herrera, Francisco, Lopez, Victoria, Moreno-Torres, Jose G.

Expert Systems With Applications

  • 2012
  • journal-article
Cost sensitive and preprocessing for classification with imbalanced data-sets: Similar behaviour and potential hybridizations
  • 2012
  • conference-paper
Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets
AUTHORS: Carrasco, Ramon A., Fernandez, Alberto, Herrera, Francisco, Villar, Pedro

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems

  • 2012
  • journal-article
IIVFDT: Ignorance functions based interval-valued fuzzy decision tree with genetic tuning
AUTHORS: Bustince, H., Fernandez, A., Herrera, F., Sanz, J.

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems

  • 2012
  • journal-article
A case study on medical diagnosis of cardiovascular diseases using a genetic algorithm for tuning fuzzy rule-based classification systems with interval-valued fuzzy sets
  • 2011
  • conference-paper
A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position
AUTHORS: Bustince, H., Fernandez, A., Herrera, F., Sanz, J.

International Journal of Approximate Reasoning

  • 2011
  • journal-article
Addressing data complexity for imbalanced data sets: Analysis of SMOTE-based oversampling and evolutionary undersampling
AUTHORS: Fernandez, Alberto, Garcia, Salvador, Herrera, Francisco, Luengo, Julian

Soft Computing

  • 2011
  • journal-article
Addressing the classification with imbalanced data: Open problems and new challenges on class distribution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2011
  • journal-article
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
AUTHORS: Barrenechea, Eclurne, Bustince, Humberto, Fernandez, Alberto, Galar, Mike, Herrera, Francisco

Pattern Recognition

  • 2011
  • journal-article
Construction of Interval-Valued Fuzzy Preference Relations Using Ignorance Functions: Interval-Valued Non Dominance Criterion

Advances in Intelligent and Soft Computing

  • 2011
  • journal-article
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
  • 2011
  • journal-article
On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees
  • 2011
  • conference-paper
On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions

TOWARDS AN INTELLIGENT LEARNING MANAGEMENT SYSTEM UNDER BLENDED LEARNING: TRENDS, PROFILES AND MODELING PERSPECTIVES

  • 2011
  • journal-article
Predicting biodegradable quality of chemicals with the TGI+.3 classifier
  • 2011
  • conference-paper
Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets

IEEE International Conference on Fuzzy Systems

  • 2011
  • conference-paper
Using KEEL software as a educational tool: A case of study teaching data mining

Proceedings of the 2011 7th International Conference on Next Generation Web Services Practices, NWeSP 2011

  • 2011
  • conference-paper
A first approach for cost-sensitive classification with linguistic genetic fuzzy systems in imbalanced data-sets
  • 2010
  • conference-paper
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets

Communications in Computer and Information Science

  • 2010
  • journal-article
A genetic algorithm for tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets
  • 2010
  • conference-paper
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
AUTHORS: Fernandez, A, Garcia, S, Herrera, F, Luengo, J

Information Sciences

  • 2010
  • journal-article
Analysing the hierarchical fuzzy rule based classification systems with genetic rule selection

2010 Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (Gefs 2010)

  • 2010
  • conference-paper
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets

Pattern Recognition Letters

  • 2010
  • journal-article
Genetics-based machine learning for rule induction: State of the art, taxonomy, and comparative study
AUTHORS: Bernado-Mansilla, Ester, Fernandez, Alberto, Garcia, Salvador, Herrera, Francisco, Luengo, Julian

IEEE Transactions on Evolutionary Computation

  • 2010
  • journal-article
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
AUTHORS: Bustince, H, Fernandez, A, Herrera, F, Sanz, JA

Information Sciences

  • 2010
  • journal-article
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning

Computational Intelligence for Knowledge-Based Systems Design. Proceedings International Conference on Information Processing and Management of Uncertainty, IPMU

  • 2010
  • journal-article
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
AUTHORS: Fernandez, A, Herrera, F, del Jesus, MJ

Information Sciences

  • 2010
  • journal-article
Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations
AUTHORS: Barrenechea, Edurne, Bustince, Humberto, Calderon, Maria, Fernandez, Alberto, Herrera, Francisco

Fuzzy Sets and Systems

  • 2010
  • journal-article
A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets

Lecture Notes in Computer Science

  • 2009
  • journal-article
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets

2009 Ieee International Conference on Fuzzy Systems, Vols 1-3

  • 2009
  • conference-paper
A Preliminar Analysis of CO2RBFN in Imbalanced Problems

Lecture Notes in Computer Science

  • 2009
  • journal-article
A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability
AUTHORS: Fernandez, A, Garcia, S, Herrera, F, Luengo, J

Soft Computing

  • 2009
  • journal-article
Addressing data-complexity for imbalanced data-sets: A preliminary study on the use of preprocessing for C4.5
AUTHORS: Fernandez, Alberto, Garcia, Salvador, Herrera, Francisco, IEEE, Luengo, Julian

2009 9th International Conference on Intelligent Systems Design and Applications

  • 2009
  • conference-paper
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems
AUTHORS: Fernandez, A, Garcia, S, Herrera, F

Applied Soft Computing

  • 2009
  • journal-article
Genetic cooperative-competitive fuzzy rule based learning method using genetic programming for highly imbalanced data-sets
  • 2009
  • conference-paper
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets
AUTHORS: Fernandez, A, Herrera, F, del Jesus, MJ

International Journal of Approximate Reasoning

  • 2009
  • journal-article
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool

Lecture Notes in Computer Science

  • 2009
  • journal-article
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System

Lecture Notes in Computer Science

  • 2009
  • journal-article
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets
AUTHORS: Fernandez, A, Herrera, F, del Jesus, MJ

Expert Systems With Applications

  • 2009
  • journal-article
A short study on the use of genetic 2-tuples tuning for Fuzzy Rule Based Classification Systems in imbalanced data-sets
  • 2008
  • conference-paper
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
AUTHORS: Fernandez, A, Garcia, S, Herrera, F, del Jesus, MJ

Fuzzy Sets and Systems

  • 2008
  • journal-article
KEEL: A data mining software tool integrating genetic fuzzy systems
  • 2008
  • conference-paper
Optical fiber sensor towards pyridine vapors detection

Proceedings of SPIE - The International Society for Optical Engineering

  • 2008
  • conference-paper
A study on the use of the fuzzy reasoning method based on the winning rule vs. voting procedure for classification with imbalanced data sets

Lecture Notes in Computer Science

  • 2007
  • journal-article
An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets

Lecture Notes in Computer Science

  • 2007
  • journal-article
A proposal of evolutionary prototype selection for class imbalance problems

Lecture Notes in Computer Science

  • 2006
  • journal-article
Contacto
alberto@decsai.ugr.es
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