Mikel Galar

128 papers A* 1B 17C 5Misc 2Journal 69Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Deep Learning Models for Aerial LiDAR Point Cloud Semantic Segmentation under Real Acquisition Conditions: A Case Study in Navarre.
CoRR
Alex Salvatierra, José Antonio Sanz, Christian Gutiérrez, Mikel Galar
2026 J jnl
Few-shot multi-token DreamBooth with LoRa for style-consistent character generation.
Expert Syst. Appl.
Rubén Pascual, Mikel Sesma-Sara, Aranzazu Jurio, Daniel Paternain, Mikel Galar
2026 J jnl
Spatially-Aware Evaluation Framework for Aerial LiDAR Point Cloud Semantic Segmentation: Distance-Based Metrics on Challenging Regions.
CoRR
Alex Salvatierra, José Antonio Sanz, Christian Gutiérrez, Mikel Galar
2025 J jnl
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition.
CoRR
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar, MaryBeth Defrance, Maarten Buyl, Tijl De Bie
2025 J jnl
DSAP: Analyzing bias through demographic comparison of datasets.
Inf. Fusion
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2025 — conf
Facial Demography Analysis of the LAION Dataset.
EWAF
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2025 J jnl
Few-shot multi-token DreamBooth with LoRa for style-consistent character generation.
CoRR
Rubén Pascual, Mikel Sesma-Sara, Aranzazu Jurio, Daniel Paternain, Mikel Galar
2025 J jnl
Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development.
Frontiers Digit. Health
Imanol Pinto, Álvaro Olazarán, Aranzazu Jurio, Borja de la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Mikel Galar, José Andonegui
2025 J jnl
Less can be more: representational vs. stereotypical gender bias in facial expression recognition.
Prog. Artif. Intell.
Iris Dominguez-Catena, Daniel Paternain, Aranzazu Jurio, Mikel Galar
2025 J jnl
Speeding-up diffusion models for remote sensing semantic segmentation.
Int. J. Appl. Earth Obs. Geoinformation
Rubén Pascual, Christian Ayala, Rubén Sesma, Aranzazu Jurio, Daniel Paternain, Mikel Galar
2024 B conf
Enhancing DreamBooth With LoRA for Generating Unlimited Characters With Stable Diffusion.
IJCNN
Rubén Pascual, Adrián Maiza, Mikel Sesma-Sara, Daniel Paternain, Mikel Galar
2024 J jnl
Guidelines to Compare Semantic Segmentation Maps at Different Resolutions.
IEEE Trans. Geosci. Remote. Sens.
Christian Ayala, Carlos Aranda, Mikel Galar
2024 J jnl
Less can be more: representational vs. stereotypical gender bias in facial expression recognition.
CoRR
Iris Dominguez-Catena, Daniel Paternain, Aranzazu Jurio, Mikel Galar
2024 J jnl
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2023 J jnl
A supervised fuzzy measure learning algorithm for combining classifiers.
Inf. Sci.
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
2023 J jnl
DSAP: Analyzing Bias Through Demographic Comparison of Datasets.
CoRR
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2023 C conf
Diffusion Models for Remote Sensing Imagery Semantic Segmentation.
IGARSS
Christian Ayala, Rubén Sesma, Carlos Aranda, Mikel Galar
2023 J jnl
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition.
CoRR
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2023 — conf
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning.
ICCV (Workshops)
Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar
2023 J jnl
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning.
CoRR
Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar
2023 — conf
Temporal Analysis of Distribution Shifts in Malware Classification for Digital Forensics.
EuroS&P Workshops
Francesco Zola, Jan Lukas Bruse, Mikel Galar
2022 — conf
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition.
AISafety@IJCAI
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2022 J jnl
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition.
CoRR
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2022 J jnl
Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification.
Appl. Intell.
Francesco Zola, Lander Segurola-Gil, Jan L. Bruse, Mikel Galar, Raul Orduna Urrutia
2022 J jnl
Discrete IV
Fuzzy Sets Syst.
Zdenko Takác, Mikel Uriz, Mikel Galar, Daniel Paternain, Humberto Bustince
2022 — conf
Gender Stereotyping Impact in Facial Expression Recognition.
PKDD/ECML Workshops (1)
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2022 J jnl
Gender Stereotyping Impact in Facial Expression Recognition.
CoRR
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2022 J jnl
Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing.
Comput. Secur.
Francesco Zola, Lander Segurola-Gil, Jan Lukas Bruse, Mikel Galar, Raul Orduna Urrutia
2022 C conf
Pushing the Limits of Sentinel-2 for Building Footprint Extraction.
IGARSS
Christian Ayala, Carlos Aranda, Mikel Galar
2022 — conf
Verification system based on long-range iris and Graph Siamese Neural Networks.
ESSE
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno J. M. H. Geradts
2022 J jnl
Verification system based on long-range iris and Graph Siamese Neural Networks.
CoRR
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno J. M. H. Geradts
2021 J jnl
A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery.
Remote. Sens.
Christian Ayala, Rubén Sesma, Carlos Aranda, Mikel Galar
2021 — conf
A Scalable and Flexible Open Source Big Data Architecture for Small and Medium-Sized Enterprises.
SOCO
Luis Íñiguez, Mikel Galar
2021 J jnl
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.
Appl. Soft Comput.
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
2021 C conf
Sub-Pixel Width Road Network Extraction Using Sentinel-2 Imagery.
IGARSS
Christian Ayala, Carlos Aranda, Mikel Galar
2021 J jnl
d-Choquet integrals: Choquet integrals based on dissimilarities.
Fuzzy Sets Syst.
Humberto Bustince, Radko Mesiar, Javier Fernández, Mikel Galar, Daniel Paternain, Abdulrahman H. Altalhi, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Zdenko Takác
2020 B conf
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification.
CEC
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
2020 B conf
Additional Feature Layers from Ordered Aggregations for Deep Neural Networks.
FUZZ-IEEE
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
2020 B conf
An Empirical Study on Supervised and Unsupervised Fuzzy Measure Construction Methods in Highly Imbalanced Classification.
FUZZ-IEEE
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
2020 J jnl
CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems.
IEEE Trans. Fuzzy Syst.
Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
2020 — conf
Dissimilarity Based Choquet Integrals.
IPMU (2)
Humberto Bustince, Radko Mesiar, Javier Fernández, Mikel Galar, Daniel Paternain, Abdulrahman H. Altalhi, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Zdenko Takác
2020 J jnl
FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers.
Appl. Soft Comput.
Mikel Uriz, Mikel Elkano, Humberto Bustince, Mikel Galar
2020 — conf
Generative Adversarial Networks for Bitcoin Data Augmentation.
BRAINS
Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia
2020 J jnl
Generative Adversarial Networks for Bitcoin Data Augmentation.
CoRR
Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia
2020 J jnl
Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data.
Remote. Sens.
Mikel Galar, Rubén Sesma, Christian Ayala, Lourdes Albizua, Carlos Aranda
2020 J jnl
Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance.
IEEE Access
Mikel Uriz, Daniel Paternain, Iris Dominguez-Catena, Humberto Bustince, Mikel Galar
2019 J jnl
Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy.
IEEE Access
José A. Sáez, Mikel Galar, Bartosz Krawczyk
2019 J jnl
An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre.
IEEE Access
José Antonio Sanz, Mikel Galar, Humberto Bustince, Tomás Belzunegui
2019 J jnl
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems.
CoRR
Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
2019 B conf
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
FUZZ-IEEE
Mikel Elkano, Humberto Bustince, Mikel Galar
2019 J jnl
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
CoRR
Mikel Elkano, Humberto Bustince, Mikel Galar
2019 J jnl
Guest Editorial: Computational Intelligence for Big Data Analytics.
Cogn. Comput.
Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera
2019 Misc conf
On the Influence of Admissible Orders in IVOVO.
HAIS
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
2019 — conf
On the Influence of Interval Normalization in IVOVO Fuzzy Multi-class Classifier.
IFSA/NAFIPS
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
2019 J jnl
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems.
CoRR
Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar
2018 B conf
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.
CEC
Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera
2018 — conf
A Study of Different Families of Fusion Functions for Combining Classifiers in the One-vs-One Strategy.
IPMU (2)
Mikel Uriz, Daniel Paternain, Aranzazu Jurio, Humberto Bustince, Mikel Galar
2018 B conf
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
Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar
2018 J jnl
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems.
Fuzzy Sets Syst.
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
2018 J jnl
CHI-PG: A fast prototype generation algorithm for Big Data classification problems.
Neurocomputing
Mikel Elkano, Mikel Galar, José Antonio Sanz Delgado, Humberto Bustince
2018 J jnl
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems.
Appl. Soft Comput.
Mikel Elkano, Mikel Galar, José Antonio Sanz, Paula F. Schiavo, Sidnei F. Pereira Jr., Graçaliz Pereira Dimuro, Eduardo N. Borges, Humberto Bustince
2018 J jnl
Dynamic ensemble selection for multi-class classification with one-class classifiers.
Pattern Recognit.
Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera
2018 B conf
Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering.
FUZZ-IEEE
Luis Íñiguez, Mikel Galar, Alberto Fernández
2018 — book
Learning from Imbalanced Data Sets
Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera
2018 — conf
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
Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar
2017 — conf
A New Extension of Monotonicity: Ordered Directional Monotonicity.
EUSFLAT/IWIFSGN (1)
Humberto Bustince, Radko Mesiar, Anna Kolesárová, Mikel Sesma-Sara, Javier Fernández, Mikel Galar, Mikel Elkano
2017 B conf
A first attempt on global evolutionary undersampling for imbalanced big data.
CEC
Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera
2017 B conf
A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems.
FUZZ-IEEE
Mikel Elkano, Mikel Galar, José Antonio Sanz, Graçaliz Pereira Dimuro, Humberto Bustince
2017 J jnl
A new survival status prediction system for severe trauma patients based on a multiple classifier system.
Comput. Methods Programs Biomed.
José Antonio Sanz, Daniel Paternain, Mikel Galar, Javier Fernández, Diego Reyero, Tomás Belzunegui
2017 — conf
Construction of Capacities from Overlap Indexes.
Fuzzy Sets, Rough Sets, Multisets and Clustering
José Antonio Sanz, Mikel Galar, Radko Mesiar, Anna Kolesárová, Humberto Bustince, Javier Fernández, Javier Montero
2017 — conf
IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems.
IFSA-SCIS
Mikel Elkano, Mikel Galar, José Antonio Sanz, Giancarlo Lucca, Humberto Bustince
2017 J jnl
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem.
Inf. Fusion
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
2016 J jnl
A framework for radial data comparison and its application to fingerprint analysis.
Appl. Soft Comput.
Cédric Marco-Detchart, Juan Cerron, Laura De Miguel, Carlos Lopez-Molina, Humberto Bustince, Mikel Galar
2016 — ed.
Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings
CAEPIA
Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado
2016 J jnl
Composition of interval-valued fuzzy relations using aggregation functions.
Inf. Sci.
Mikel Elkano, José Antonio Sanz, Mikel Galar, Barbara Pekala, Urszula Bentkowska, Humberto Bustince
2016 J jnl
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reason.
Alberto Fernández, Mikel Elkano, Mikel Galar, José Antonio Sanz, Saleh Alshomrani, Humberto Bustince, Francisco Herrera
2016 J jnl
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy.
Appl. Soft Comput.
Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera
2016 B conf
Evolutionary undersampling for extremely imbalanced big data classification under apache spark.
CEC
Isaac Triguero, Mikel Galar, D. Merino, Jesús Maillo, Humberto Bustince, Francisco Herrera
2016 J jnl
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.
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
2016 J jnl
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control.
Inf. Fusion
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
2016 B conf
Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System.
FUZZ-IEEE
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
2016 J jnl
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets.
Inf. Sci.
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
2016 — conf
Similarity Measures for Radial Data.
IPMU (1)
Carlos Lopez-Molina, Cédric Marco-Detchart, Javier Fernández, Juan Cerron, Mikel Galar, Humberto Bustince
2015 J jnl
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst.
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
2015 J jnl
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst.
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
2015 J jnl
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci.
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
2015 — ed.
Advances in Artificial Intelligence - 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, November 9-12, 2015, Proceedings
CAEPIA
José M. Puerta, José A. Gámez, Bernabé Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar
2015 J jnl
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems.
Pattern Recognit.
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera
2015 J jnl
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Syst.
Mikel Elkano, Mikel Galar, José Antonio Sanz, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera, Humberto Bustince
2015 B conf
Evolutionary undersampling for imbalanced big data classification.
CEC
Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys
2015 — conf
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
IFSA-EUSFLAT
Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Francisco Herrera
2015 — conf
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets.
CORES
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
2015 B conf
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
Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Oscar Cordón, Francisco Herrera
2015 B conf
Operators on intuitionistic fuzzy relations.
FUZZ-IEEE
Barbara Pekala, Urszula Bentkowska, Humberto Bustince, Javier Fernández, Mikel Galar
2015 — conf
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems.
IFSA-EUSFLAT
Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince
2015 A* conf
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier.
ICDM
Ludmila I. Kuncheva, Mikel Galar
2014 B conf
A preliminary study on fingerprint classification using fuzzy rule-based classification systems.
FUZZ-IEEE
Mikel Galar, José Antonio Sanz, Miguel Pagola, Humberto Bustince Sola, Francisco Herrera
2014 J jnl
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition.
Knowl. Inf. Syst.
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
2014 J jnl
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems.
Inf. Sci.
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera
2014 C conf
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions.
FUSION
Mikel Galar, Edurne Barrenechea Tartas, Alberto Fernández, Francisco Herrera
2014 — conf
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)
Mikel Elkano, Mikel Galar, José Antonio Sanz, Edurne Barrenechea, Francisco Herrera, Humberto Bustince
2014 J jnl
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system.
Appl. Soft Comput.
José Antonio Sanz, Mikel Galar, Aranzazu Jurio, Antonio Brugos, Miguel Pagola, Humberto Bustince
2014 J jnl
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell.
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera
2014 J jnl
On the impact of anisotropic diffusion on edge detection.
Pattern Recognit.
Carlos Lopez-Molina, Mikel Galar, Humberto Bustince Sola, Bernard De Baets
2013 J jnl
A New Approach to Interval-Valued Choquet Integrals and the Problem of Ordering in Interval-Valued Fuzzy Set Applications.
IEEE Trans. Fuzzy Syst.
Humberto Bustince, Mikel Galar, Benjamín R. C. Bedregal, Anna Kolesárová, Radko Mesiar
2013 — conf
A Preliminary Study of the Usage of Similarity Measures to Detect Singular Points in Fingerprint Images.
AGOP
Juan Cerrón, Mikel Galar, Carlos Lopez-Molina, Edurne Barrenechea, Humberto Bustince
2013 J jnl
A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions.
Int. J. Comput. Intell. Syst.
Carlos Lopez-Molina, Bernard De Baets, Juan Cerron, Mikel Galar, Humberto Bustince
2013 — conf
A new algorithm for color image comparison based on similarity measures.
EUSFLAT Conf.
Daniel Paternain, Mikel Galar, Aranzazu Jurio, Edurne Barrenechea
2013 Misc conf
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets.
HAIS
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
2013 J jnl
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl. Based Syst.
Alberto Fernández, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera
2013 — ch.
Construction of Interval Type-2 Fuzzy Sets From Fuzzy Sets: Methods and Applications.
Advances in Type-2 Fuzzy Sets and Systems
Miguel Pagola, Edurne Barrenechea, Javier Fernández, Aranzazu Jurio, Mikel Galar, José Antonio Sanz, Daniel Paternain, Carlos Lopez-Molina, Juan Cerrón, Humberto Bustince
2013 J jnl
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers.
Pattern Recognit.
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2013 J jnl
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling.
Pattern Recognit.
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera
2013 J jnl
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness.
Inf. Sci.
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
2012 — conf
A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees.
HAIS (2)
José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera
2012 J jnl
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches.
IEEE Trans. Syst. Man Cybern. Part C
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2012 J jnl
Extending the upper-lower edge detector by means of directional masks and OWA operators.
Prog. Artif. Intell.
Carlos Lopez-Molina, Mikel Galar, Humberto Bustince Sola, Bernard De Baets
2011 J jnl
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.
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2011 J jnl
Interval-Valued Fuzzy Sets Applied to Stereo Matching of Color Images.
IEEE Trans. Image Process.
Mikel Galar, Javier Fernández, Gleb Beliakov, Humberto Bustince Sola
2011 — conf
Multicriteria Decision Making by Means of Interval-Valued Choquet Integrals.
Eurofuse
Humberto Bustince, Javier Fernández, José Antonio Sanz, Mikel Galar, Radko Mesiar, Anna Kolesárová
2011 — conf
Multiscale Extension of the Gravitational Approach to Edge Detection.
CAEPIA
Carlos Lopez-Molina, Bernard De Baets, Humberto Bustince Sola, Edurne Barrenechea Tartas, Mikel Galar
2011 — conf
Representing images by means of interval-valued fuzzy sets. Application to stereo matching.
T2FUZZ
Mikel Galar, Edurne Barrenechea, Javier Fernández, Humberto Bustince, Gleb Beliakov
2010 — conf
A Comparison Study of Different Color Spaces in Clustering Based Image Segmentation.
IPMU (2)
Aranzazu Jurio, Miguel Pagola, Mikel Galar, Carlos Lopez-Molina, Daniel Paternain
2010 — conf
Aggregation of Color Information in Stereo Matching Problem: A Comparison Study.
IEA/AIE (3)
Mikel Galar, Miguel Pagola, Edurne Barrenechea Tartas, Carlos Lopez-Molina, Humberto Bustince Sola
2010 B conf
On the use of quasi-arithmetic means for the generation of edge detection blending functions.
FUZZ-IEEE
Carlos Lopez-Molina, Javier Fernández, Aranzazu Jurio, Mikel Galar, Miguel Pagola, Bernard De Baets
2009 — conf
Image Reduction with Interval-Valued Fuzzy Sets and OWA Operators.
IFSA/EUSFLAT Conf.
Daniel Paternain, Humberto Bustince Sola, José Antonio Sanz, Mikel Galar, Carlos Guerra
2009 — conf
Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images.
IFSA/EUSFLAT Conf.
Miguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro Couto, Farhang Sahba, Hamid R. Tizhoosh
2009 C conf
On the Use of t-Conorms in the Gravity-Based Approach to Edge Detection.
ISDA
Carlos Lopez-Molina, Humberto Bustince Sola, Mikel Galar, Javier Fernández, Bernard De Baets