Keywords:
- Antibiotic discovery
- Cancer Genomics
- Cytokine stormExplainable AIHealthcare predictive analysisMachine learning for diagnosis
- deep learning
- Domain Knowledge Integration
- evaluation
- Explainable AI
- Factual knowledge
- Graph Neural Networks
- Large Language Models
- Multi-omics Data
- Prompting
- Relation Extraction
- Retrieval-augmented generation
- Sparse Neural Networks
- Synthetic Dataset
Publications of Andre Freitas sorted by title
V
| Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving, , , and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024 |
| Voyager: Data Discovery for Onboarding in Data Science, , , and , in: 37th IEEE International Conference on Data Engineering (ICDE), 2022 |
W
| Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions - Exploring the impact of treatment and strain dynamics, , , , , , and , in: Journal of Clinical Virology, 2022 |
| What do individuals with visual impairment need and want from a dialogue-based digital assistant?, , , , and , in: Clinical and Experimental Optometry, 2023 |
| What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP, , , and , in: EMNLP, 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021 |
| Why Scholars Are Diagramming Neural Network Models, , and , in: 13th International Conference on the Theory and Application of Diagrams, 2022 |