Rafael Teixeira Sousa
Orcid: 0000-0001-5998-046X
According to our database1,
Rafael Teixeira Sousa
authored at least 18 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality.
CoRR, March, 2025
Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition.
IEEE Access, 2025
Transformative Technologies for Rehabilitation: Leveraging Immersive and AI-Driven Solutions to Reduce Recidivism and Promote Decent Work.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025
Proceedings of the 2025 ACM International Conference on Interactive Media Experiences, 2025
An LLM-Enhanced Framework for Bridging Simulators and Game Engines towards Realistic 3D Simulations.
Proceedings of the 2025 ACM International Conference on Interactive Media Experiences, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025
Leveraging Immersive Reality and LLMs for Social Reintegration: AI-Driven Skill Development in Correctional Rehabilitation.
Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025
2024
AI-Driven Early Mental Health Screening with Limited Data: Analyzing Selfies of Pregnant Women.
CoRR, 2024
No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax.
CoRR, 2024
2023
Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning Models.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Live Births Prediction using Legendre Memory Unit: A Case Study for the Health Regions of Goiás.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2020
CoRR, 2020
2018
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks.
CoRR, 2018
2017
CoRR, 2017
2014
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
Comparative Performance Analysis of Machine Learning Classifiers in Detection of Childhood Pneumonia Using Chest Radiographs.
Proceedings of the International Conference on Computational Science, 2013