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González-Almagro, Germán
140  Ergebnisse:
Personensuche X
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1

Metric learning for monotonic classification: turning the s..:

Suárez, Juan Luis ; González-Almagro, Germán ; García, Salvador.
Applied Intelligence.  54 (2024)  5 - p. 4443-4466 , 2024
Link: https://doi.org/10.1007/..
 
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2

Semi-supervised clustering with two types of background kno..:

González-Almagro, Germán ; Sánchez-Bermejo, Pablo ; Suarez, Juan Luis..
Information Fusion.  102 (2024)  - p. 102064 , 2024
Link: https://doi.org/10.1016/..
 
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3

Multimodal pedestrian detection using metaheuristics with d..:

Jain, Deepak Kumar ; Zhao, Xudong ; González-Almagro, Germán..
Information Fusion.  95 (2023)  - p. 401-414 , 2023
Link: https://doi.org/10.1016/..
 
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4

Monotonic Constrained Clustering: A First Approach:

, In: Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence; Lecture Notes in Computer Science,
González-Almagro, Germán ; Bermejo, Pablo Sánchez ; Suarez, Juan Luis.. - p. 725-736 , 2022
Link: https://doi.org/10.1007/..
 
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5

3SHACC: Three stages hybrid agglomerative constrained clust..:

González-Almagro, Germán ; Suárez, Juan Luis ; Luengo, Julián..
Neurocomputing.  490 (2022)  - p. 441-461 , 2022
Link: https://doi.org/10.1016/..
 
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6

Adapting K-Means Algorithm for Pair-Wise Constrained Cluste..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,
Wojciechowski, Szymon ; González-Almagro, Germán ; García, Salvador. - p. 153-163 , 2022
Link: https://doi.org/10.1007/..
 
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7

A Preliminary Approach for using Metric Learning in Monoton..:

, In: Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence; Lecture Notes in Computer Science,
Suárez, Juan Luis ; González-Almagro, Germán ; García, Salvador. - p. 773-784 , 2022
Link: https://doi.org/10.1007/..
 
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8

ME-MEOA/DCC: Multiobjective constrained clustering through ..:

González-Almagro, Germán ; Rosales-Pérez, Alejandro ; Luengo, Julián..
Swarm and Evolutionary Computation.  66 (2021)  - p. 100939 , 2021
Link: https://doi.org/10.1016/..
 
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9

Decomposition-Fusion for Label Distribution Learning:

González, Manuel ; González-Almagro, Germán ; Triguero, Isaac..
Information Fusion.  66 (2021)  - p. 64-75 , 2021
Link: https://doi.org/10.1016/..
 
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10

Enhancing instance-level constrained clustering through dif..:

González-Almagro, Germán ; Luengo, Julián ; Cano, José-Ramón.
Applied Soft Computing.  108 (2021)  - p. 107435 , 2021
Link: https://doi.org/10.1016/..
 
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11

Improving constrained clustering via decomposition-based mu..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference,
González-Almagro, Germán ; Rosales-Pérez, Alejandro ; Luengo, Julián.. - p. 333-341 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

Agglomerative Constrained Clustering Through Similarity and..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,
González-Almagro, Germán ; Suarez, Juan Luis ; Luengo, Julián.. - p. 424-436 , 2020
Link: https://doi.org/10.1007/..
 
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13

DILS: Constrained clustering through dual iterative local s..:

González-Almagro, Germán ; Luengo, Julián ; Cano, José-Ramón.
Computers & Operations Research.  121 (2020)  - p. 104979 , 2020
Link: https://doi.org/10.1016/..
 
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14

Semi-supervised Clustering with Two Types of Background Kno..:

González-Almagro, Germán ; Suárez, Juan Luis ; Sánchez-Bermejo, Pablo..
http://arxiv.org/abs/2302.14060.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

Semi-Supervised Constrained Clustering: An In-Depth Overvie..:

González-Almagro, Germán ; Peralta, Daniel ; De Poorter, Eli..
http://arxiv.org/abs/2303.00522.  , 2023
Link: http://arxiv.org/abs/230..
 
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