Donal Landers

According to our database, Donal Landers authored at least 12 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.

Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas

BMC Bioinform., December, 2023

Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy.

Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Manon Pillai, Jennifer Allison, Dónal Landers, Elaine Kilgour, Fiona Thistlethwaite, André Freitas

J. Biomed. Informatics, June, 2023

Transformers and the Representation of Biomedical Background Knowledge.

Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas

Comput. Linguistics, March, 2023

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making.

Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas

Artif. Intell., March, 2023

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data.

Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports.

Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Dónal Landers, André Freitas

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives.

Alex Bogatu, Zili Zhou, Dónal Landers, André Freitas

CoRR, 2022

Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.

Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas

CoRR, 2022

Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy.

Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Donal Landers, Elaine Kilgour, André Freitas

CoRR, 2022

2021

Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems.

Oskar Wysocki, Malina Florea, Donal Landers, André Freitas

CoRR, 2021

Encoding Explanatory Knowledge for Zero-shot Science Question Answering.

Zili Zhou, Marco Valentino, Donal Landers, André Freitas

CoRR, 2021

What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP.

Oskar Wysocki, Malina Florea, Dónal Landers, André Freitas

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021