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Oskar Wysocki
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2020 – today
- 2024
- [j5]Magdalena Wysocka
, Oskar Wysocki, Maxime Delmas, Vincent Mutel, André Freitas:
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation. J. Biomed. Informatics 158: 104724 (2024) - [i10]Oskar Wysocki, Magdalena Wysocka, Danilo Carvalho, Alex Teodor Bogatu, Danilo Miranda Gusicuma, Maxime Delmas, Harriet Unsworth, André Freitas:
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery. CoRR abs/2406.18626 (2024) - [i9]Magdalena Wysocka, Danilo S. Carvalho, Oskar Wysocki, Marco Valentino, André Freitas:
SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning. CoRR abs/2410.14399 (2024) - 2023
- [j4]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: 103839 (2023) - [j3]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): 198 (2023) - [j2]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): 73-115 (2023) - [j1]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: 104367 (2023) - [i8]Hanadi Mardah, Oskar Wysocki, Markel Vigo, André Freitas
:
On the Visualisation of Argumentation Graphs to Support Text Interpretation. CoRR abs/2303.03235 (2023) - [i7]Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, Vincent Mutel, André Freitas:
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery. CoRR abs/2305.17819 (2023) - 2022
- [i6]Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Donal Landers
, André Freitas
:
Transformers and the representation of biomedical background knowledge. CoRR abs/2202.02432 (2022) - [i5]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 abs/2204.05030 (2022) - [i4]Alex Bogatu, Magdalena Wysocka, Oskar Wysocki
, Holly Butterworth, Donal Landers, Elaine Kilgour, André Freitas
:
Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy. CoRR abs/2206.10612 (2022) - [i3]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 abs/2207.00812 (2022) - 2021
- [c3]Oskar Wysocki, Malina Florea, Dónal Landers, André Freitas:
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. Eval4NLP 2021: 209-229 - [i2]Oskar Wysocki, Malina Florea, Donal Landers
, André Freitas
:
Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems. CoRR abs/2107.08124 (2021) - 2020
- [i1]Oskar Wysocki, Malina Florea, André Freitas
:
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. CoRR abs/2005.14299 (2020)
2010 – 2019
- 2019
- [c2]Oskar Wysocki, Lipika Deka
, David A. Elizondo:
Heavy duty vehicle fuel consumption modeling using artificial neural networks. ICAC 2019: 1-6 - [c1]Oskar Wysocki
, Lipika Deka
, David A. Elizondo
, Jacek Kropiwnicki
, Jacek Czyzewicz
:
Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks. IWANN (1) 2019: 794-805
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last updated on 2024-12-10 20:42 CET by the dblp team
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