output
20202023
most citedAssessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making

153 citations

7 papers

cs.CL2023★ 18 cited

Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation

Magdalena Wysocka, Oskar Wysocki, Maxime Delmas +2

The paper introduces a framework for the evaluation of the encoding of factual scientific knowledge, designed to streamline the manual evaluation process typically conducted by dom…

cs.AI2022★ 153 cited

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 +4

This paper contributes with a pragmatic evaluation framework for explainable Machine Learning (ML) models for clinical decision support. The study revealed a more nuanced role for…

cs.CL2022★ 19 cited

Transformers and the representation of biomedical background knowledge

Oskar Wysocki, Zili Zhou, Paul O'Regan +4

Specialised transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora. As such, they have the…

cs.LG2022★ 8 cited

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples

Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska +8

Multiplexed immunofluorescence provides an unprecedented opportunity for studying specific cell-to-cell and cell microenvironment interactions. We employ graph neural networks to c…

q-bio.OT2022★ 77 cited

A new Standard DNA damage (SDD) data format

J. Schuemann, A. McNamara, J. W. Warmenhoven +48

Our understanding of radiation induced cellular damage has greatly improved over the past decades. Despite this progress, there are still many obstacles to fully understanding how…

q-bio.OT2021★ 63 cited

QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Glyn Nelson, Ulrike Boehm, Steve Bagley +97

In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scie…

cs.CL2020★ 2 cited

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

Oskar Wysocki, Malina Florea, Andre Freitas

SemEval is the primary venue in the NLP community for the proposal of new challenges and for the systematic empirical evaluation of NLP systems. This paper provides a systematic qu…