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ORCIDAdán José García
- > Home > Persons > Adán José García
Publications
- 2024
[j10]Adán José García
, Julie Jacques, Vincent Sobanski, Clarisse Dhaenens:
Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities. ACM Comput. Surv. 56(3): 69:1-69:38 (2024)- [c12]Adán José García, Julie Jacques, Clément Chauvet, Vincent Sobanski, Clarisse Dhaenens:
HBIC: A Biclustering Algorithm for Heterogeneous Datasets. ECAI 2024: 3088-3095 - [i2]Adán José García, Julie Jacques, Clément Chauvet, Vincent Sobanski, Clarisse Dhaenens:
HBIC: A Biclustering Algorithm for Heterogeneous Datasets. CoRR abs/2408.13217 (2024) - 2023
- [j8]Adán José García, Julia Handl:
What's in a distance? Exploring the interplay between distance measures and internal cluster validity in multi-objective clustering. Nat. Comput. 22(2): 259-270 (2023) - [j7]Adán José García, Wilfrido Gómez-Flores:
CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering. SoftwareX 22: 101359 (2023) - [j6]Mario Garza-Fabre, Julia Handl, Adán José García:
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views. IEEE Trans. Evol. Comput. 27(4): 817-831 (2023) - 2022
- [c11]Adán José García, Julie Jacques, Alexandre Filiot, Julia Handl, David Launay, Vincent Sobanski, Clarisse Dhaenens:
Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. PPSN (2) 2022: 352-367 - [i1]Adán José García, Julie Jacques, Vincent Sobanski, Clarisse Dhaenens:
Biclustering Algorithms Based on Metaheuristics: A Review. CoRR abs/2203.16241 (2022) - 2021
- [j5]Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre:
An evolutionary many-objective approach to multiview clustering using feature and relational data. Appl. Soft Comput. 108: 107425 (2021) - [c10]Adán José García, Julia Handl:
On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. EMO 2021: 504-515 - [c9]Adán José García, Wilfrido Gómez-Flores:
A survey of cluster validity indices for automatic data clustering using differential evolution. GECCO 2021: 314-322 - 2019
- [c8]Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre:
Many-view clustering: an illustration using multiple dissimilarity measures. GECCO (Companion) 2019: 213-214 - 2017
- [c7]Adán José García, Wilfrido Gómez-Flores:
Evolutionary Clustering Using Multi-prototype Representation and Connectivity Criterion. MCPR 2017: 63-73 - 2016
- [j2]Adán José García, Wilfrido Gómez-Flores:
Automatic clustering using nature-inspired metaheuristics: A survey. Appl. Soft Comput. 41: 192-213 (2016) - 2011
- [c5]Adán José García, Hillel Romero-Monsivais, Cindy G. Hernandez-Morales, Arturo Rodríguez-Cristerna, Ivan Rivera-Islas, José Torres-Jiménez:
A Simulated Annealing Algorithm for the Problem of Minimal Addition Chains. EPIA 2011: 311-325 - [c4]Arturo Rodríguez-Cristerna, José Torres-Jiménez, Ivan Rivera-Islas, Cindy G. Hernandez-Morales, Hillel Romero-Monsivais, Adán José García:
A Mutation-Selection Algorithm for the Problem of Minimum Brauer Chains. MICAI (2) 2011: 107-118
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