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 recency
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| Aligning Large and Small Language Models via Chain-of-Thought Reasoning, and , in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024 |
| Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation Approach, , and , in: Computational Linguistics, Volume 50(Issue 3):953–1000, 2024 |
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| A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, , and , in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024 |
| Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models, , and , in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024 |
| Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, , , and , in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024 |
| 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 |
| Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, , and , in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024 |
| Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy, , , , , , , , , and , in: Journal of Biomedical Informatics, 142, 2023 |
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| Defining the role of real-world data in cancer clinical research: the position of the European Organisation for Research and Treatment of Cancer, , and , in: European Journal of Cancer, 2023 |
| 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 |
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| Learning Lessons from the COVID-19 pandemic for Real World Evidence research in Oncology–shared perspectives from an international consortia, , and , in: ESMO Open, 2023 |
| What do individuals with visual impairment need and want from a dialogue-based digital assistant?, , , , and , in: Clinical and Experimental Optometry, 2023 |
| NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, , , , , and , in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 |
| Transformers, Tables and Frame Semantics, , , and , in: International Conference on Semantic Computing, 2023 |
| SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, , , , , and , in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023 |
[DOI] [URL] |
| Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks, and , in: Transactions of the ACL, 2023 |
| A Canonical Context-preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences, , , and , in: Knowledge-based Systems, 2023 |
| Learning Disentangled Representations for Natural Language Definitions, , , and , in: In Findings of the European chapter of Association for Computational Linguistics, 2023 |
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| A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, , , and , in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024 |
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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| On Interventional Probing in High Dimensions: An NLI Case Study, , , and , in: Findings of the 17th European Chapter of the Association for Computational Linguistics, 2023 |
| Why Scholars Are Diagramming Neural Network Models, , and , in: 13th International Conference on the Theory and Application of Diagrams, 2022 |
| Shallow Discourse Parsing for Open Information Extraction and Text Simplification, , and , in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022 |
| digital ECMT cancer trial matching tool, an open source research application to support oncologists in the identification of precision medicine clinical trials,, , and , in: JCO Clinical Cancer Informatics, 2022 |
| 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 |
| Patient Attrition in Molecular Tumour Boards: A Systematic Review, , , , , and , in: British Journal of Cancer, 2022 |
| Symmetry-induced Disentanglement on Graphs, , and , in: Advances in Neural Information Processing Systems 35, 2022 |
| Transformers and the representation of biomedical background knowledge, , , , , and , in: Computational Linguistics, 2022 |
| TextGraphs 2022 Shared Task on Natural Language Premise Selection, , , , and , in: Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022 |
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| Decomposing Natural Logic Inferences for Neural NLI, , , , and , in: BlackBoxNLP: Workshop on analyzing and interpreting neural networks for NLP, 2022 |
| Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-Hop Inference, , , , and , in: Transactions of the Association for Computational Linguistics, 2022 |
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| Case-Based Abductive Natural Language Inference, , and , in: Proceedings of the 29th International Conference on Computational Linguistics, 2022 |
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| Biomarker identification using dynamic time warping analysis: a longitudinal cohort study of COVID-19 patients in a UK tertiary hospital, , , , , and , in: BMJ Open, 2022 |
| Voyager: Data Discovery for Onboarding in Data Science, , , and , in: 37th IEEE International Conference on Data Engineering (ICDE), 2022 |
| Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective, , , , and , in: Findings of the ACL, 2022 |
| To be or not to be an Integer? Encoding Variables for Mathematical Text, , , , and , in: Findings of the ACL, 2022 |
| Establishment of CORONET, COVID-19 Risk in Oncology Evaluation Tool, to Identify Cancer Patients at Low Versus High Risk of Severe Complications of COVID-19 Infection Upon Presentation to Hospital, , , and , in: Clinical Cancer Informatics, 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 |
| Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome, , , and , in: ESMO Open, 2021 |
| 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 |
| Number and quality of diagrams in scholarly publications is associated with number of citations, , and , in: Diagrams, 2021 |
| Structuralist analysis for neural network system diagrams, , and , in: Diagrams, 2021 |
| Scholarly AI system diagrams as an access point to mental models, , and , in: Diagrams, 2021 |
| Similarity-Based Equational Inference in Physics, and , in: Physics Review Research, 2021 |
| Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders, and , in: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021 |
| Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration, , , and , in: Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022 |
| Supporting Context Monotonicity Abstractions in Neural NLI Models, , , , and , in: Natural Logic Meets Machine Learning Workshop, 2021 |
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