Metric learning for monotonic classification: turning the space up to the limits of monotonicity |
JL Suárez, G González-Almagro, S García, F Herrera. |
2024 |
Establishing the Foundation for Out-of-Distribution Detection in Monument Classification Through Nested Dichotomies |
I Antequera-Sánchez, JL Suárez-Díaz, R Montes, F Herrera. |
2024 |
Distance Metric Learning for Explainability in Complex Problems |
JL Suárez Díaz. |
2024 |
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints |
G González-Almagro, JL Suárez, P Sánchez-Bermejo, JR Cano, S García. |
2023 |
Monotonic Constrained Clustering: A First Approach |
G González-Almagro, PS Bermejo, JL Suarez, JR Cano, S García. |
2022 |
A Preliminary Approach for using Metric Learning in Monotonic Classification |
JL Suárez, G González-Almagro, S García, F Herrera. |
2022 |
Distance Metric Learning with Prototype Selection for Imbalanced Classification |
JL Suárez, S García, F Herrera. |
2021 |
Ordinal regression with explainable distance metric learning based on ordered sequences |
JL Suárez, S García, F Herrera. |
2021 |
3SHACC: Three Stages Hybrid Agglomerative Constrained Clustering |
G González-Almagro, JL Suarez, J Luengo, JR Cano, S García. |
2021 |
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images |
S Tabik, A Gómez-Ríos, JL Martín-Rodríguez, I Sevillano-García, .... |
2020 |
pyDML: A Python Library for Distance Metric Learning |
JL Suárez, S García, F Herrera. |
2020 |
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges |
JL Suárez, S García, F Herrera. |
2020 |
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation |
G González-Almagro, JL Suarez, J Luengo, JR Cano, S García. |
2020 |