Marilyn Bello

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Text Categorization

Multi Label Classification

Top Venues

Publications

Marilyn Bello, Gonzalo Nápoles, Leonardo Concepción, Rafael Bello, Pablo Mesejo, Oscar Cordón
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. Inf. Sci. 654 (2024)
Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro, Agnieszka Jastrzebska
Forward Composition Propagation for Explainable Neural Reasoning. IEEE Comput. Intell. Mag. 19 (1) (2024)
Marilyn Bello, Pablo Costa, Gonzalo Nápoles, Pablo Mesejo, Oscar Cordón
ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space. Inf. Fusion 108 (2024)
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. IJCNN (2022)
Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro
Forward Composition Propagation for Explainable Neural Reasoning. CoRR (2021)
Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro
Long-term Cognitive Network-based architecture for multi-label classification. Neural Networks 140 (2021)
Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof
Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections. IWAIPR (2021)
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
Data quality measures based on granular computing for multi-label classification. Inf. Sci. 560 (2021)
Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof, Rafael Bello
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks. IJCRS (2020)
Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Rafael Bello, Koen Vanhoof
Deep neural network to extract high-level features and labels in multi-label classification problems. Neurocomputing 413 (2020)
Marilyn Bello, Gonzalo Nápoles, Rafael Morera, Koen Vanhoof, Rafael Bello
Outliers Detection in Multi-label Datasets. MICAI (1) (2020)
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
Methods to Edit Multi-label Training Sets Using Rough Sets Theory. IJCRS (2019)
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
Reduction Methods for Multi-Label Datasets Based on Granular Computing. BNAIC/BENELEARN (2019)
Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
Prototypes Generation from Multi-label Datasets Based on Granular Computing. CIARP (2019)
Lázaro Lugo, Marilyn Bello, Ann Nowé, Rafael Bello
A Solution for the Team Selection Problem Using ACO. ANTS Conference (2018)