Mikel Galar
Orcid: 0000-0003-2865-6549Affiliations:
- Universidad Pública de Navarra, Spain
According to our database1,
Mikel Galar
authored at least 108 papers
between 2009 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on unavarra.es
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on orcid.org
On csauthors.net:
Bibliography
2025
2024
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Less can be more: representational vs. stereotypical gender bias in facial expression recognition.
CoRR, 2024
Enhancing DreamBooth With LoRA for Generating Unlimited Characters With Stable Diffusion.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Inf. Sci., April, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Temporal Analysis of Distribution Shifts in Malware Classification for Digital Forensics.
Proceedings of the IEEE European Symposium on Security and Privacy, 2023
2022
Discrete IV <i>d</i><sub><i>G</i></sub>-Choquet integrals with respect to admissible orders.
Fuzzy Sets Syst., 2022
Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing.
Comput. Secur., 2022
Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification.
Appl. Intell., 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 3rd European Symposium on Software Engineering, 2022
2021
A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery.
Remote. Sens., 2021
Fuzzy Sets Syst., 2021
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.
Appl. Soft Comput., 2021
A Scalable and Flexible Open Source Big Data Architecture for Small and Medium-Sized Enterprises.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems.
IEEE Trans. Fuzzy Syst., 2020
Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data.
Remote. Sens., 2020
FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers.
Appl. Soft Comput., 2020
Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance.
IEEE Access, 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
An Empirical Study on Supervised and Unsupervised Fuzzy Measure Construction Methods in Highly Imbalanced Classification.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2020
2019
Cogn. Comput., 2019
An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre.
IEEE Access, 2019
Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy.
IEEE Access, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
Dynamic ensemble selection for multi-class classification with one-class classifiers.
Pattern Recognit., 2018
Neurocomputing, 2018
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems.
Fuzzy Sets Syst., 2018
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems.
Appl. Soft Comput., 2018
A Study of Different Families of Fusion Functions for Combining Classifiers in the One-vs-One Strategy.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018
A first approach towards the usage of classifiers' performance to create fuzzy measures for ensembles of classifiers: a case study on highly imbalanced datasets.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018
2017
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem.
Inf. Fusion, 2017
A new survival status prediction system for severe trauma patients based on a multiple classifier system.
Comput. Methods Programs Biomed., 2017
IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017
2016
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets.
Inf. Sci., 2016
Inf. Sci., 2016
Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the Fuzzy Reasoning Method.
Inf. Sci., 2016
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control.
Inf. Fusion, 2016
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reason., 2016
Appl. Soft Comput., 2016
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy.
Appl. Soft Comput., 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Evolutionary undersampling for extremely imbalanced big data classification under apache spark.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Syst., 2015
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems.
Pattern Recognit., 2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst., 2015
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst., 2015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition.
Knowl. Inf. Syst., 2014
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems.
Inf. Sci., 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell., 2014
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system.
Appl. Soft Comput., 2014
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
A preliminary study on fingerprint classification using fuzzy rule-based classification systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions.
Proceedings of the 17th International Conference on Information Fusion, 2014
2013
Construction of Interval Type-2 Fuzzy Sets From Fuzzy Sets: Methods and Applications.
Proceedings of the Advances in Type-2 Fuzzy Sets and Systems - Theory and Applications, 2013
A New Approach to Interval-Valued Choquet Integrals and the Problem of Ordering in Interval-Valued Fuzzy Set Applications.
IEEE Trans. Fuzzy Syst., 2013
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers.
Pattern Recognit., 2013
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling.
Pattern Recognit., 2013
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl. Based Syst., 2013
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness.
Inf. Sci., 2013
A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions.
Int. J. Comput. Intell. Syst., 2013
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
A Preliminary Study of the Usage of Similarity Measures to Detect Singular Points in Fingerprint Images.
Proceedings of the Aggregation Functions in Theory and in Practise, 2013
2012
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches.
IEEE Trans. Syst. Man Cybern. Part C, 2012
Extending the upper-lower edge detector by means of directional masks and OWA operators.
Prog. Artif. Intell., 2012
A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
IEEE Trans. Image Process., 2011
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes.
Pattern Recognit., 2011
Representing images by means of interval-valued fuzzy sets. Application to stereo matching.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011
Proceedings of the Eurofuse 2011, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
On the use of quasi-arithmetic means for the generation of edge detection blending functions.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009