Oskar Wysocki
Orcid: 0000-0002-7053-4919
According to our database1,
Oskar Wysocki
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation.
J. Biomed. Informatics, 2024
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery.
CoRR, 2024
2023
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.
BMC Bioinform., December, 2023
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy.
J. Biomed. Informatics, June, 2023
Comput. Linguistics, March, 2023
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making.
Artif. Intell., March, 2023
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery.
CoRR, 2023
CoRR, 2023
2022
Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.
CoRR, 2022
CoRR, 2022
2021
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021
2020
CoRR, 2020
2019
Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the 25th International Conference on Automation and Computing, 2019