Oskar Wysocki

According to our database, Oskar Wysocki authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

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

Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, Vincent Mutel, André Freitas

J. Biomed. Informatics, 2024

SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning.

Magdalena Wysocka, Danilo S. Carvalho, Oskar Wysocki, Marco Valentino, André Freitas

CoRR, 2024

An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery.

Oskar Wysocki, Magdalena Wysocka, Danilo Carvalho, Alex Teodor Bogatu, Danilo Miranda Gusicuma, Maxime Delmas, Harriet Unsworth, André Freitas

CoRR, 2024

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

Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery.

Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, Vincent Mutel, André Freitas

CoRR, 2023

On the Visualisation of Argumentation Graphs to Support Text Interpretation.

Hanadi Mardah, Oskar Wysocki, Markel Vigo, André Freitas

CoRR, 2023

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

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

2020

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

Oskar Wysocki, Malina Florea, André Freitas

CoRR, 2020

2019

Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks.

Oskar Wysocki, Lipika Deka, David A. Elizondo, Jacek Kropiwnicki, Jacek Czyzewicz

Proceedings of the Advances in Computational Intelligence, 2019

Heavy duty vehicle fuel consumption modeling using artificial neural networks.

Oskar Wysocki, Lipika Deka, David A. Elizondo

Proceedings of the 25th International Conference on Automation and Computing, 2019