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2020 – today
- 2023
[j4]Oskar Wysocki
, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas:
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making. Artif. Intell. 316: 103839 (2023)- [j3]Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas:
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. BMC Bioinform. 24(1): 198 (2023) - [j2]Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas:
Transformers and the Representation of Biomedical Background Knowledge. Comput. Linguistics 49(1): 73-115 (2023) - [j1]Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Manon Pillai, Jennifer Allison, Dónal Landers, Elaine Kilgour, Fiona Thistlethwaite, André Freitas:
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy. J. Biomed. Informatics 142: 104367 (2023) - [c3]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Dónal Landers, André Freitas:
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. EMNLP 2023: 16745-16764 - [c2]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas:
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. SemEval@ACL 2023: 2216-2226 - [i9]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas:
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. CoRR abs/2305.02993 (2023) - [i8]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas:
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. CoRR abs/2305.03598 (2023) - 2022
- [i7]Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Donal Landers, André Freitas:
Transformers and the representation of biomedical background knowledge. CoRR abs/2202.02432 (2022) - [i6]Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas:
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making. CoRR abs/2204.05030 (2022) - [i5]Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Donal Landers, Elaine Kilgour, André Freitas:
Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy. CoRR abs/2206.10612 (2022) - [i4]Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas:
Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. CoRR abs/2207.00812 (2022) - [i3]Alex Bogatu, Zili Zhou, Dónal Landers, André Freitas:
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives. CoRR abs/2208.01376 (2022) - 2021
- [c1]Oskar Wysocki, Malina Florea, Dónal Landers, André Freitas:
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. Eval4NLP 2021: 209-229 - [i2]Zili Zhou, Marco Valentino, Donal Landers, André Freitas:
Encoding Explanatory Knowledge for Zero-shot Science Question Answering. CoRR abs/2105.05737 (2021) - [i1]Oskar Wysocki, Malina Florea, Donal Landers, André Freitas:
Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems. CoRR abs/2107.08124 (2021)
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