Marilyn Bello-García

Orcid: 0000-0003-4540-2508

According to our database1, Marilyn Bello-García authored at least 18 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Forward Composition Propagation for Explainable Neural Reasoning.
IEEE Comput. Intell. Mag., February, 2024

REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image.
Inf. Sci., January, 2024

2022
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Long-term Cognitive Network-based architecture for multi-label classification.
Neural Networks, 2021

Data quality measures based on granular computing for multi-label classification.
Inf. Sci., 2021

Forward Composition Propagation for Explainable Neural Reasoning.
CoRR, 2021

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

2020
Deep neural network to extract high-level features and labels in multi-label classification problems.
Neurocomputing, 2020

Feature and Label Association Based on Granulation Entropy for Deep Neural Networks.
Proceedings of the Rough Sets - International Joint Conference, 2020

Outliers Detection in Multi-label Datasets.
Proceedings of the Advances in Soft Computing, 2020

2019
Methods to Edit Multi-label Training Sets Using Rough Sets Theory.
Proceedings of the Rough Sets - International Joint Conference, 2019

Prototypes Generation from Multi-label Datasets Based on Granular Computing.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Reduction Methods for Multi-Label Datasets Based on Granular Computing.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
Expanding MLkNN Using Extended Rough Set Theory.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

A Solution for the Team Selection Problem Using ACO.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2016
Personnel Selection in a Competitive Environment.
Computación y Sistemas, 2016

2014
Hacia la diversidad de la bandada: procedimiento RSVN usando una distribución de Lévy.
Computación y Sistemas, 2014

2012
A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation.
Proceedings of the Advances in Artificial Intelligence, 2012


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