Mikel Galar

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 70

Top Venues

Publications

Iris Dominguez-Catena, Daniel Paternain, Aranzazu Jurio, Mikel Galar
Less can be more: representational vs. stereotypical gender bias in facial expression recognition. CoRR (2024)
Christian Ayala, Carlos Aranda, Mikel Galar
Guidelines to Compare Semantic Segmentation Maps at Different Resolutions. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Francesco Zola, Jan Lukas Bruse, Mikel Galar
Temporal Analysis of Distribution Shifts in Malware Classification for Digital Forensics. EuroS&P Workshops (2023)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
DSAP: Analyzing Bias Through Demographic Comparison of Datasets. CoRR (2023)
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
A supervised fuzzy measure learning algorithm for combining classifiers. Inf. Sci. 622 (2023)
Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning. ICCV (Workshops) (2023)
Christian Ayala, Rubén Sesma, Carlos Aranda, Mikel Galar
Diffusion Models for Remote Sensing Imagery Semantic Segmentation. IGARSS (2023)
Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning. CoRR (2023)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition. CoRR (2023)
Francesco Zola, Lander Segurola-Gil, Jan Lukas Bruse, Mikel Galar, Raul Orduna Urrutia
Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing. Comput. Secur. 115 (2022)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Gender Stereotyping Impact in Facial Expression Recognition. CoRR (2022)
Zdenko Takác, Mikel Uriz, Mikel Galar, Daniel Paternain, Humberto Bustince
-Choquet integrals with respect to admissible orders. Fuzzy Sets Syst. 441 (2022)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition. CoRR (2022)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition. AISafety@IJCAI (2022)
Francesco Zola, Lander Segurola-Gil, Jan L. Bruse, Mikel Galar, Raul Orduna Urrutia
Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification. Appl. Intell. 52 (15) (2022)
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno Geradts
Verification system based on long-range iris and Graph Siamese Neural Networks. CoRR (2022)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Gender Stereotyping Impact in Facial Expression Recognition. PKDD/ECML Workshops (1) (2022)
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno Geradts
Verification system based on long-range iris and Graph Siamese Neural Networks. ESSE (2022)
Christian Ayala, Carlos Aranda, Mikel Galar
Pushing the Limits of Sentinel-2 for Building Footprint Extraction. IGARSS (2022)
Christian Ayala, Rubén Sesma, Carlos Aranda, Mikel Galar
A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery. Remote. Sens. 13 (16) (2021)
Luis Íñiguez, Mikel Galar
A Scalable and Flexible Open Source Big Data Architecture for Small and Medium-Sized Enterprises. SOCO (2021)
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. Appl. Soft Comput. 101 (2021)
Christian Ayala, Carlos Aranda, Mikel Galar
Sub-Pixel Width Road Network Extraction Using Sentinel-2 Imagery. IGARSS (2021)
Humberto Bustince, Radko Mesiar, Javier Fernández, Mikel Galar, Daniel Paternain, Abdulrahman H. Altalhi, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Zdenko Takác
d-Choquet integrals: Choquet integrals based on dissimilarities. Fuzzy Sets Syst. 414 (2021)
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
An Empirical Study on Supervised and Unsupervised Fuzzy Measure Construction Methods in Highly Imbalanced Classification. FUZZ-IEEE (2020)
Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems. IEEE Trans. Fuzzy Syst. 28 (1) (2020)
Mikel Uriz, Daniel Paternain, Iris Dominguez-Catena, Humberto Bustince, Mikel Galar
Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance. IEEE Access 8 (2020)
Mikel Galar, Rubén Sesma, Christian Ayala, Lourdes Albizua, Carlos Aranda
Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data. Remote. Sens. 12 (18) (2020)
Mikel Uriz, Mikel Elkano, Humberto Bustince, Mikel Galar
FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers. Appl. Soft Comput. 93 (2020)
Humberto Bustince, Radko Mesiar, Javier Fernández, Mikel Galar, Daniel Paternain, Abdulrahman H. Altalhi, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Zdenko Takác
Dissimilarity Based Choquet Integrals. IPMU (2) (2020)
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. CEC (2020)
Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia
Generative Adversarial Networks for Bitcoin Data Augmentation. CoRR (2020)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
Additional Feature Layers from Ordered Aggregations for Deep Neural Networks. FUZZ-IEEE (2020)
Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia
Generative Adversarial Networks for Bitcoin Data Augmentation. BRAINS (2020)
Mikel Elkano, Humberto Bustince, Mikel Galar
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? CoRR (2019)
Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems. CoRR (2019)
Mikel Elkano, Humberto Bustince, Mikel Galar
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? FUZZ-IEEE (2019)
José Antonio Sanz, Mikel Galar, Humberto Bustince, Tomás Belzunegui
An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre. IEEE Access 7 (2019)
Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera
Guest Editorial: Computational Intelligence for Big Data Analytics. Cogn. Comput. 11 (3) (2019)
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
On the Influence of Admissible Orders in IVOVO. HAIS (2019)
José A. Sáez, Mikel Galar, Bartosz Krawczyk
Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy. IEEE Access 7 (2019)
Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems. CoRR (2019)
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
On the Influence of Interval Normalization in IVOVO Fuzzy Multi-class Classifier. IFSA/NAFIPS (2019)
Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. CEC (2018)
Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar
On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems. BigData Congress (2018)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Paula F. Schiavo, Sidnei F. Pereira Jr., Graçaliz Pereira Dimuro, Eduardo N. Borges, Humberto Bustince
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems. Appl. Soft Comput. 67 (2018)
Mikel Uriz, Daniel Paternain, Aranzazu Jurio, Humberto Bustince, Mikel Galar
A Study of Different Families of Fusion Functions for Combining Classifiers in the One-vs-One Strategy. IPMU (2) (2018)
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
A first approach towards the usage of classifiers' performance to create fuzzy measures for ensembles of classifiers: a case study on highly imbalanced datasets. FUZZ-IEEE (2018)
Luis Íñiguez, Mikel Galar, Alberto Fernández
Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering. FUZZ-IEEE (2018)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems. Fuzzy Sets Syst. 348 (2018)
Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera
Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognit. 83 (2018)
Mikel Elkano, Mikel Galar, José Antonio Sanz Delgado, Humberto Bustince
CHI-PG: A fast prototype generation algorithm for Big Data classification problems. Neurocomputing 287 (2018)
Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera
A first attempt on global evolutionary undersampling for imbalanced big data. CEC (2017)
José Antonio Sanz, Mikel Galar, Radko Mesiar, Anna Kolesárová, Humberto Bustince, Javier Fernández, Javier Montero
Construction of Capacities from Overlap Indexes. Fuzzy Sets, Rough Sets, Multisets and Clustering (2017)
José Antonio Sanz, Daniel Paternain, Mikel Galar, Javier Fernández, Diego Reyero, Tomás Belzunegui
A new survival status prediction system for severe trauma patients based on a multiple classifier system. Comput. Methods Programs Biomed. 142 (2017)
Humberto Bustince, Radko Mesiar, Anna Kolesárová, Mikel Sesma-Sara, Javier Fernández, Mikel Galar, Mikel Elkano
A New Extension of Monotonicity: Ordered Directional Monotonicity. EUSFLAT/IWIFSGN (1) (2017)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Graçaliz Pereira Dimuro, Humberto Bustince
A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems. FUZZ-IEEE (2017)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Giancarlo Lucca, Humberto Bustince
IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems. IFSA-SCIS (2017)
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem. Inf. Fusion 36 (2017)
Mikel Elkano, José Antonio Sanz, Mikel Galar, Barbara Pekala, Urszula Bentkowska, Humberto Bustince
Composition of interval-valued fuzzy relations using aggregation functions. Inf. Sci. 369 (2016)
Alberto Fernández, Mikel Elkano, Mikel Galar, José Antonio Sanz, Saleh Alshomrani, Humberto Bustince, Francisco Herrera
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC). Int. J. Approx. Reason. 73 (2016)
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Inf. Fusion 27 (2016)
Carlos Lopez-Molina, Cédric Marco-Detchart, Javier Fernández, Juan Cerron, Mikel Galar, Humberto Bustince
Similarity Measures for Radial Data. IPMU (1) (2016)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System. FUZZ-IEEE (2016)
Isaac Triguero, Mikel Galar, D. Merino, Jesús Maillo, Humberto Bustince, Francisco Herrera
Evolutionary undersampling for extremely imbalanced big data classification under apache spark. CEC (2016)
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets. Inf. Sci. 354 (2016)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
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. 332 (2016)
Cédric Marco-Detchart, Juan Cerron, Laura De Miguel, Carlos Lopez-Molina, Humberto Bustince, Mikel Galar
A framework for radial data comparison and its application to fingerprint analysis. Appl. Soft Comput. 46 (2016)
Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Appl. Soft Comput. 38 (2016)
Ludmila I. Kuncheva, Mikel Galar
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier. ICDM (2015)
Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys
Evolutionary undersampling for imbalanced big data classification. CEC (2015)
Barbara Pekala, Urszula Bentkowska, Humberto Bustince, Javier Fernández, Mikel Galar
Operators on intuitionistic fuzzy relations. FUZZ-IEEE (2015)
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets. CORES (2015)
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems. Pattern Recognit. 48 (1) (2015)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems. IFSA-EUSFLAT (2015)
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81 (2015)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera, Humberto Bustince
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies. IEEE Trans. Fuzzy Syst. 23 (5) (2015)
Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Oscar Cordón, Francisco Herrera
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm. FUZZ-IEEE (2015)
Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Francisco Herrera
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection. IFSA-EUSFLAT (2015)
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81 (2015)
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315 (2015)
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems. Inf. Sci. 264 (2014)
Carlos Lopez-Molina, Mikel Galar, Humberto Bustince Sola, Bernard De Baets
On the impact of anisotropic diffusion on edge detection. Pattern Recognit. 47 (1) (2014)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Edurne Barrenechea, Francisco Herrera, Humberto Bustince
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System. IPMU (3) (2014)
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition. Knowl. Inf. Syst. 38 (1) (2014)
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32 (2014)
José Antonio Sanz, Mikel Galar, Aranzazu Jurio, Antonio Brugos, Miguel Pagola, Humberto Bustince
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system. Appl. Soft Comput. 20 (2014)
Mikel Galar, Edurne Barrenechea Tartas, Alberto Fernández, Francisco Herrera
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions. FUSION (2014)
Mikel Galar, José Antonio Sanz, Miguel Pagola, Humberto Bustince Sola, Francisco Herrera
A preliminary study on fingerprint classification using fuzzy rule-based classification systems. FUZZ-IEEE (2014)
Carlos Lopez-Molina, Bernard De Baets, Juan Cerron, Mikel Galar, Humberto Bustince
A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions. Int. J. Comput. Intell. Syst. 6 (1) (2013)
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers. Pattern Recognit. 46 (12) (2013)
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. HAIS (2013)
Humberto Bustince, Mikel Galar, Benjamín R. C. Bedregal, Anna Kolesárová, Radko Mesiar
A New Approach to Interval-Valued Choquet Integrals and the Problem of Ordering in Interval-Valued Fuzzy Set Applications. IEEE Trans. Fuzzy Syst. 21 (6) (2013)
Daniel Paternain, Mikel Galar, Aranzazu Jurio, Edurne Barrenechea
A new algorithm for color image comparison based on similarity measures. EUSFLAT Conf. (2013)
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling. Pattern Recognit. 46 (12) (2013)
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness. Inf. Sci. 247 (2013)
Alberto Fernández, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowl. Based Syst. 42 (2013)
Juan Cerrón, Mikel Galar, Carlos Lopez-Molina, Edurne Barrenechea, Humberto Bustince
A Preliminary Study of the Usage of Similarity Measures to Detect Singular Points in Fingerprint Images. AGOP (2013)
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. HAIS (2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mikel Galar