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ORCIDMikel Galar
Mikel Galar Idoate
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- affiliation: Universidad Pública de Navarra, Spain
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2020 – today
- 2025
[j50]Iris Dominguez-Catena
, Daniel Paternain, Mikel Galar:
DSAP: Analyzing bias through demographic comparison of datasets. Inf. Fusion 115: 102760 (2025)- 2024
- [j49]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): 5209-5226 (2024) - [j48]Christian Ayala, Carlos Aranda, Mikel Galar:
Guidelines to Compare Semantic Segmentation Maps at Different Resolutions. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c54]Rubén Pascual, Adrián Maiza, Mikel Sesma-Sara, Daniel Paternain, Mikel Galar:
Enhancing DreamBooth With LoRA for Generating Unlimited Characters With Stable Diffusion. IJCNN 2024: 1-8 - [i12]Iris Dominguez-Catena, Daniel Paternain, Aranzazu Jurio, Mikel Galar:
Less can be more: representational vs. stereotypical gender bias in facial expression recognition. CoRR abs/2406.17405 (2024) - 2023
- [j47]Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar:
A supervised fuzzy measure learning algorithm for combining classifiers. Inf. Sci. 622: 490-511 (2023) - [c53]Francesco Zola, Jan Lukas Bruse, Mikel Galar:
Temporal Analysis of Distribution Shifts in Malware Classification for Digital Forensics. EuroS&P Workshops 2023: 439-450 - [c52]Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar:
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning. ICCV (Workshops) 2023: 3385-3395 - [c51]Christian Ayala, Rubén Sesma, Carlos Aranda, Mikel Galar:
Diffusion Models for Remote Sensing Imagery Semantic Segmentation. IGARSS 2023: 5654-5657 - [i11]Marco D'Alessandro, Alberto Alonso, Enrique Calabrés, Mikel Galar:
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning. CoRR abs/2303.04751 (2023) - [i10]Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition. CoRR abs/2303.15889 (2023) - [i9]Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
DSAP: Analyzing Bias Through Demographic Comparison of Datasets. CoRR abs/2312.14626 (2023) - 2022
- [j46]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): 17289-17314 (2022) - [j45]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: 102632 (2022) - [j44]Zdenko Takác, Mikel Uriz, Mikel Galar, Daniel Paternain, Humberto Bustince:
Discrete IV dG-Choquet integrals with respect to admissible orders. Fuzzy Sets Syst. 441: 169-195 (2022) - [c50]Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno J. M. H. Geradts:
Verification system based on long-range iris and Graph Siamese Neural Networks. ESSE 2022: 80-88 - [c49]Christian Ayala, Carlos Aranda, Mikel Galar:
Pushing the Limits of Sentinel-2 for Building Footprint Extraction. IGARSS 2022: 322-325 - [c48]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 - [c47]Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
Gender Stereotyping Impact in Facial Expression Recognition. PKDD/ECML Workshops (1) 2022: 9-22 - [i8]Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition. CoRR abs/2205.10049 (2022) - [i7]Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno J. M. H. Geradts:
Verification system based on long-range iris and Graph Siamese Neural Networks. CoRR abs/2208.00785 (2022) - [i6]Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
Gender Stereotyping Impact in Facial Expression Recognition. CoRR abs/2210.05332 (2022) - 2021
- [j43]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: 107033 (2021) - [j42]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: 1-27 (2021) - [j41]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): 3135 (2021) - [c46]Christian Ayala, Carlos Aranda, Mikel Galar:
Sub-Pixel Width Road Network Extraction Using Sentinel-2 Imagery. IGARSS 2021: 2174-2177 - [c45]Luis Íñiguez, Mikel Galar:
A Scalable and Flexible Open Source Big Data Architecture for Small and Medium-Sized Enterprises. SOCO 2021: 273-282 - [i5]Francesco Zola, Lander Segurola, Jan Lukas Bruse, Mikel Galar Idoate:
Temporal graph-based approach for behavioural entity classification. CoRR abs/2105.04798 (2021) - 2020
- [j40]Mikel Uriz, Daniel Paternain, Iris Dominguez-Catena, Humberto Bustince, Mikel Galar:
Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance. IEEE Access 8: 52288-52305 (2020) - [j39]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: 106399 (2020) - [j38]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): 2941 (2020) - [j37]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): 163-177 (2020) - [c44]Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia:
Generative Adversarial Networks for Bitcoin Data Augmentation. BRAINS 2020: 136-143 - [c43]Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero:
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. CEC 2020: 1-8 - [c42]Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
Additional Feature Layers from Ordered Aggregations for Deep Neural Networks. FUZZ-IEEE 2020: 1-8 - [c41]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: 1-8 - [c40]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: 565-573 - [i4]Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia:
Generative Adversarial Networks for Bitcoin Data Augmentation. CoRR abs/2005.13369 (2020)
2010 – 2019
- 2019
- [j36]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: 76009-76021 (2019) - [j35]José A. Sáez, Mikel Galar, Bartosz Krawczyk:
Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy. IEEE Access 7: 83396-83411 (2019) - [j34]Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera:
Guest Editorial: Computational Intelligence for Big Data Analytics. Cogn. Comput. 11(3): 329-330 (2019) - [c39]Mikel Elkano, Humberto Bustince, Mikel Galar:
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? FUZZ-IEEE 2019: 1-6 - [c38]Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar:
On the Influence of Admissible Orders in IVOVO. HAIS 2019: 358-369 - [c37]Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar:
On the Influence of Interval Normalization in IVOVO Fuzzy Multi-class Classifier. IFSA/NAFIPS 2019: 44-57 - [i3]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 abs/1902.09357 (2019) - [i2]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 abs/1903.00345 (2019) - [i1]Mikel Elkano, Humberto Bustince, Mikel Galar:
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? CoRR abs/1903.03324 (2019) - 2018
- [b1]Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera:
Learning from Imbalanced Data Sets. Springer 2018, ISBN 978-3-319-98073-7, pp. 1-377 - [j33]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: 728-740 (2018) - [j32]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: 75-101 (2018) - [j31]Mikel Elkano, Mikel Galar, José Antonio Sanz Delgado, Humberto Bustince:
CHI-PG: A fast prototype generation algorithm for Big Data classification problems. Neurocomputing 287: 22-33 (2018) - [j30]Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera:
Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognit. 83: 34-51 (2018) - [c36]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: 25-32 - [c35]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: 1-8 - [c34]Luis Íñiguez, Mikel Galar, Alberto Fernández:
Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering. FUZZ-IEEE 2018: 1-8 - [c33]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: 1-8 - [c32]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: 427-440 - 2017
- [j29]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: 1-8 (2017) - [j28]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: 26-51 (2017) - [c31]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: 323-335 - [c30]Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera:
A first attempt on global evolutionary undersampling for imbalanced big data. CEC 2017: 2054-2061 - [c29]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: 295-305 - [c28]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: 1-6 - [c27]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: 1-6 - 2016
- [j27]Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera:
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Appl. Soft Comput. 38: 714-726 (2016) - [j26]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: 246-259 (2016) - [j25]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: 108-122 (2016) - [j24]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: 19-32 (2016) - [j23]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: 94-114 (2016) - [j22]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: 178-196 (2016) - [j21]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: 690-703 (2016) - [c26]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: 640-647 - [c25]Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince:
Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System. FUZZ-IEEE 2016: 907-914 - [c24]Carlos Lopez-Molina, Cédric Marco-Detchart, Javier Fernández, Juan Cerron, Mikel Galar, Humberto Bustince:
Similarity Measures for Radial Data. IPMU (1) 2016: 599-611 - [e2]Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado:
Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings. Lecture Notes in Computer Science 9868, Springer 2016, ISBN 978-3-319-44635-6 [contents] - 2015
- [j20]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: 67-87 (2015) - [j19]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: 76-97 (2015) - [j18]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: 98-116 (2015) - [j17]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): 28-42 (2015) - [j16]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): 1562-1580 (2015) - [c23]Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys:
Evolutionary undersampling for imbalanced big data classification. CEC 2015: 715-722 - [c22]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera:
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets. CORES 2015: 3-15 - [c21]Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince:
Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems. IFSA-EUSFLAT 2015 - [c20]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 - [c19]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: 1-7 - [c18]Barbara Pekala, Urszula Bentkowska, Humberto Bustince, Javier Fernández, Mikel Galar:
Operators on intuitionistic fuzzy relations. FUZZ-IEEE 2015: 1-8 - [c17]Ludmila I. Kuncheva, Mikel Galar:
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier. ICDM 2015: 817-822 - [e1]José Miguel Puerta, José A. Gámez, Bernabé Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar:
Advances in Artificial Intelligence - 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, November 9-12, 2015, Proceedings. Lecture Notes in Computer Science 9422, Springer 2015, ISBN 978-3-319-24597-3 [contents] - 2014
- [j15]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: 103-111 (2014) - [j14]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: 37-53 (2014) - [j13]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera:
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems. Inf. Sci. 264: 135-157 (2014) - [j12]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): 179-206 (2014) - [j11]Carlos Lopez-Molina, Mikel Galar, Humberto Bustince Sola, Bernard De Baets:
On the impact of anisotropic diffusion on edge detection. Pattern Recognit. 47(1): 270-281 (2014) - [c16]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: 1-8 - [c15]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: 554-560 - [c14]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: 296-306 - 2013
- [j10]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): 14-28 (2013) - [j9]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: 1-20 (2013) - [j8]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: 97-110 (2013) - [j7]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): 3412-3424 (2013) - [j6]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera:
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling. Pattern Recognit. 46(12): 3460-3471 (2013) - [j5]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): 1150-1162 (2013) - [c13]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: 367-378 - [c12]Daniel Paternain, Mikel Galar, Aranzazu Jurio, Edurne Barrenechea:
A new algorithm for color image comparison based on similarity measures. EUSFLAT Conf. 2013 - [c11]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: 568-577 - [p1]Miguel Pagola, Edurne Barrenechea, Javier Fernández, Aranzazu Jurio, Mikel Galar, José Antonio Sanz, Daniel Paternain, Carlos Lopez-Molina, Juan Cerrón, Humberto Bustince:
Construction of Interval Type-2 Fuzzy Sets From Fuzzy Sets: Methods and Applications. Advances in Type-2 Fuzzy Sets and Systems 2013: 147-163 - 2012
- [j4]Carlos Lopez-Molina, Mikel Galar, Humberto Bustince Sola, Bernard De Baets:
Extending the upper-lower edge detector by means of directional masks and OWA operators. Prog. Artif. Intell. 1(4): 267-276 (2012) - [j3]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches. IEEE Trans. Syst. Man Cybern. Part C 42(4): 463-484 (2012) - [c10]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: 25-35 - 2011
- [j2]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
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. 44(8): 1761-1776 (2011) - [j1]Mikel Galar, Javier Fernández, Gleb Beliakov, Humberto Bustince Sola:
Interval-Valued Fuzzy Sets Applied to Stereo Matching of Color Images. IEEE Trans. Image Process. 20(7): 1949-1961 (2011) - [c9]Carlos Lopez-Molina, Bernard De Baets, Humberto Bustince Sola, Edurne Barrenechea Tartas, Mikel Galar:
Multiscale Extension of the Gravitational Approach to Edge Detection. CAEPIA 2011: 283-292 - [c8]Humberto Bustince, Javier Fernández, José Antonio Sanz, Mikel Galar, Radko Mesiar, Anna Kolesárová:
Multicriteria Decision Making by Means of Interval-Valued Choquet Integrals. Eurofuse 2011: 269-278 - [c7]Mikel Galar, Edurne Barrenechea, Javier Fernández, Humberto Bustince, Gleb Beliakov:
Representing images by means of interval-valued fuzzy sets. Application to stereo matching. T2FUZZ 2011: 134-141 - 2010
- [c6]Carlos Lopez-Molina, Javier Fernández, Aranzazu Jurio, Mikel Galar, Miguel Pagola, Bernard De Baets:
On the use of quasi-arithmetic means for the generation of edge detection blending functions. FUZZ-IEEE 2010: 1-8 - [c5]Mikel Galar, Miguel Pagola, Edurne Barrenechea Tartas, Carlos Lopez-Molina, Humberto Bustince Sola:
Aggregation of Color Information in Stereo Matching Problem: A Comparison Study. IEA/AIE (3) 2010: 369-378 - [c4]Aranzazu Jurio, Miguel Pagola, Mikel Galar, Carlos Lopez-Molina, Daniel Paternain:
A Comparison Study of Different Color Spaces in Clustering Based Image Segmentation. IPMU (2) 2010: 532-541
2000 – 2009
- 2009
- [c3]Daniel Paternain, Humberto Bustince Sola, José Antonio Sanz, Mikel Galar, Carlos Guerra:
Image Reduction with Interval-Valued Fuzzy Sets and OWA Operators. IFSA/EUSFLAT Conf. 2009: 754-759 - [c2]Miguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro Couto, Farhang Sahba, Hamid R. Tizhoosh:
Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images. IFSA/EUSFLAT Conf. 2009: 1164-1168 - [c1]Carlos Lopez-Molina, Humberto Bustince Sola, Mikel Galar, Javier Fernández, Bernard De Baets:
On the Use of t-Conorms in the Gravity-Based Approach to Edge Detection. ISDA 2009: 1347-1352
Coauthor Index
Humberto Bustince
aka: Humberto Bustince Sola
aka: Humberto Bustince Sola
[j47] [j44] [j42] [j40] [j39] [j37] [c41] [c40] [j36] [c39] [c38] [c37] [i3] [i2] [i1] [j33] [j32] [j31] [j30] [c36] [c35] [c33] [c32] [j28] [c31] [c30] [c29] [c28] [c27] [j26] [j25] [j23] [j22] [j21] [c26] [c25] [c24] [j20] [j19] [j18] [j16] [c23] [c22] [c21] [c20] [c19] [c18] [j15] [j11] [c15] [c14] [j10] [j7] [j5] [c13] [p1] [j4] [j3] [j2] [j1] [c9] [c8] [c7] [c5] [c3] [c1]
José Antonio Sanz 0001
aka: José Antonio Sanz Delgado
aka: José Antonio Sanz Delgado
Edurne Barrenechea Tartas
aka: Edurne Barrenechea
aka: Edurne Barrenechea
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