Dónal Landers

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Learning Models

Additional Knowledge

Evaluation Campaigns

Top Venues

Publications

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) (2023)
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) (2023)
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)
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 (2023)
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 (2023)
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 (2022)
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 (2022)
Alex Bogatu, Zili Zhou, Dónal Landers, André Freitas
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives. CoRR (2022)
Oskar Wysocki, Malina Florea, Dónal Landers, André Freitas
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. Eval4NLP (2021)