Heavy duty vehicle fuel consumption modeling using artificial neural networks. - Oskar Wysocki; Lipika Deka; David A. Elizondo (ICAC, 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 (IWANN (1), 2019)

What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. - Oskar Wysocki; Malina Florea; André Freitas (CoRR, 2020)

What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. - Oskar Wysocki; Malina Florea; Dónal Landers; André Freitas (Eval4NLP, 2021)

Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems. - Oskar Wysocki; Malina Florea; Donal Landers; André Freitas (CoRR, 2021)

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)

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)

On the Visualisation of Argumentation Graphs to Support Text Interpretation. - Hanadi Mardah; Oskar Wysocki; Markel Vigo; André Freitas (CoRR, 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)

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., 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, 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, 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., 2023)

An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery. - Oskar Wysocki; Magdalena Wysocka; Danilo S. Carvalho; Alex Teodor Bogatu; Danilo Miranda Gusicuma; Maxime Delmas; Harriet Unsworth; André Freitas (CoRR, 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 (NAACL (Long Papers), 2025)

Toward Low-Cost Digital Twins for Urban Transportation Systems. - Oskar Wysocki; Michal Kuziemski; André Freitas; Michal Wasilczuk; Jacek Czyzewicz (IEEE Access, 2025)

Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs. - Oskar Wysocki; Sammie Mak; Hannah Frost; Donna M. Graham; Dónal Landers; Tariq Aslam (Int. J. Medical Informatics, 2025)

Integrating Expert Knowledge into Logical Programs via LLMs. - Franciszek Górski; Oskar Wysocki; Marco Valentino; André Freitas (CoRR, 2025)