Keywords:
- Cancer Genomics
- Cytokine stormExplainable AIHealthcare predictive analysisMachine learning for diagnosis
- deep learning
- Domain Knowledge Integration
- evaluation
- Explainable AI
- Graph Neural Networks
- Large Language Models
- Multi-omics Data
- Prompting
- Relation Extraction
- Sparse Neural Networks
- Synthetic Dataset
Publications of Andre Freitas sorted by first author
| 1 | 2 |
V
| Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration, , , and , in: Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022 |
W
| A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data, , , , and , in: BMC Bioinformatics, 24(198), 2023 |
[DOI] |
| Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making, , , , , , and , in: Artificial Intelligence, 2022 |
| 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 |
| Transformers and the representation of biomedical background knowledge, , , , , and , in: Computational Linguistics, 2022 |
Z
| Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, , , , and , in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024 |
| Encoding Explanatory Knowledge for Zero-shot Science Question Answering, , , and , in: 14th International Conference on Computational Semantics, 2021 |
[URL] |
| 1 | 2 |