Germán González-Almagro

According to our database, Germán González-Almagro authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Metric learning for monotonic classification: turning the space up to the limits of monotonicity.

Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera

Appl. Intell., March, 2024

Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints.

Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García

Inf. Fusion, February, 2024

2023

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes.

Deepak Kumar Jain, Xudong Zhao, Germán González-Almagro, Chenquan Gan, Ketan Kotecha

Inf. Fusion, July, 2023

Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions.

Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García

CoRR, 2023

2022

3SHACC: Three stages hybrid agglomerative constrained clustering.

Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García

Neurocomputing, 2022

A Preliminary Approach for using Metric Learning in Monotonic Classification.

Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Monotonic Constrained Clustering: A First Approach.

Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams.

Szymon Wojciechowski, Germán González-Almagro, Salvador García, Michal Wozniak

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021

ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism.

Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García

Swarm Evol. Comput., 2021

Decomposition-Fusion for Label Distribution Learning.

Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García

Inf. Fusion, 2021

Enhancing instance-level constrained clustering through differential evolution.

Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García

Appl. Soft Comput., 2021

2020

DILS: Constrained clustering through dual iterative local search.

Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García

Comput. Oper. Res., 2020

Agglomerative Constrained Clustering Through Similarity and Distance Recalculation.

Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism.

Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020