Rafael Bello
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Rafael Bello has a total of 191 co-authors. Here are the top co-authors by number of shared publications:
- Gonzalo Nápoles
Department of Intelligent Systems, Tilburg University, 5037 AB Tilburg, The Netherlands
21 shared publications - Koen Vanhoof
Hasselt Universiteit
19 shared publications - Yaile Caballero
University of Camagüey
17 shared publications - Pedro Yobanis Piñero Pérez
Universidad Central del Este
12 shared publications - Iliana Pérez Pupo
Universidad Central del Este
11 shared publications - Yaima Filiberto
AMV Solutions
10 shared publications
Latest Publications
- 2 September 2026
- Published by Springer Nature
- p. 43-66
Evaluation of Plausibility and Robustness in Counterfactual Explanations
- 2 September 2026
- Published by Springer Nature
- p. 43-66
Evaluation of Plausibility and Robustness in Counterfactual Explanations
- 18 April 2026
- Published by Springer Nature in SN Computer Science
- Vol. 7 (5) , 370
Methodology for Generating High Fidelity Synthetic Data to Improve Mortality Prediction for Patients in Intensive Care Units
- 18 April 2026
- Published by Springer Nature in SN Computer Science
- Vol. 7 (5) , 370
Methodology for Generating High Fidelity Synthetic Data to Improve Mortality Prediction for Patients in Intensive Care Units
- Open Access
- 25 March 2026
- Published by PIAP - Industrial Research Institute for Automation and Measurements in Journal of Automation, Mobile Robotics and Intelligent Systems
- p. 79-84
Explainability of a Deep Neural Network Model for Prediction of Solar Panels Generation: Comparative Study
The explainability methods LIME, SHAP, Integrated Gradients and Sailency Maps were compared to explain the predictions of a deep learning model trained to predict the electricity generation of a photovoltaic park. These methods allow analyzing the relative importance of the input features for each prediction. The quality of the explanations generated was evaluated using the fidelity and continuity metrics, before and after applying perturbations to the data.
- 25 March 2026
- Published by PIAP - Industrial Research Institute for Automation and Measurements in Journal of Automation, Mobile Robotics and Intelligent Systems
- p. 79-84
Open AccessExplainability of a Deep Neural Network Model for Prediction of Solar Panels Generation: Comparative Study
The explainability methods LIME, SHAP, Integrated Gradients and Sailency Maps were compared to explain the predictions of a deep learning model trained to predict the electricity generation of a photovoltaic park. These methods allow analyzing the relative importance of the input features for each prediction. The quality of the explanations generated was evaluated using the fidelity and continuity metrics, before and after applying perturbations to the data.
- 3 February 2026
- Published by Springer Nature
- p. 362-373
A Methodology for the Generation and Evaluation of Tabular Synthetic Data: A Case Study in Data Analysis in Intensive Care Units
- 3 February 2026
- Published by Springer Nature
- p. 362-373
A Methodology for the Generation and Evaluation of Tabular Synthetic Data: A Case Study in Data Analysis in Intensive Care Units
- 3 February 2026
- Published by Springer Nature
- p. 178-191
An Approach to Generating Knowledge-Based Explanations: A Case Study in Health
- 3 February 2026
- Published by Springer Nature
- p. 178-191
An Approach to Generating Knowledge-Based Explanations: A Case Study in Health
- 1 February 2026
- Published by Springer Nature
- p. 487-498
A New Explanation Approach Based on Meta-Explainers
- 1 February 2026
- Published by Springer Nature
- p. 487-498
A New Explanation Approach Based on Meta-Explainers
- Open Access
- 22 December 2025
- Published by Springer Nature in Information Systems Frontiers
- p. 1-22
A Three-level Framework for LLM-enhanced Explainable AI: From Technical Explanations to Natural Language
- 22 December 2025
- Published by Springer Nature in Information Systems Frontiers
- p. 1-22
Open AccessA Three-level Framework for LLM-enhanced Explainable AI: From Technical Explanations to Natural Language
- 16 October 2025
- Published by Springer Nature
- p. 43-54
An Index for Assessing the Fidelity of Synthetic Tabular Data in Classification Tasks: TabDSFidelity
- 16 October 2025
- Published by Springer Nature
- p. 43-54
An Index for Assessing the Fidelity of Synthetic Tabular Data in Classification Tasks: TabDSFidelity
- 25 March 2025
- Published by Springer Nature
- p. 3-31
Characterization of SLM Conversational Systems Models, Overview
- 25 March 2025
- Published by Springer Nature
- p. 3-31
Characterization of SLM Conversational Systems Models, Overview
- 25 March 2025
- Published by Springer Nature
- p. 359-383
Measurement of Perceived Quality in Conversational Systems (Chatbots)
- 25 March 2025
- Published by Springer Nature
- p. 359-383
Measurement of Perceived Quality in Conversational Systems (Chatbots)