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A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data., , , , and . BMC Bioinform., 24 (1): 198 (December 2023)What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP., , and . CoRR, (2020)Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems., , , and . CoRR, (2021)Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy., , , , , , , , , and . J. Biomed. Informatics, (June 2023)What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP., , , and . Eval4NLP, page 209-229. Association for Computational Linguistics, (2021)Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data., , , , and . CoRR, (2022)Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks., , , , and . IWANN (1), volume 11506 of Lecture Notes in Computer Science, page 794-805. Springer, (2019)Heavy duty vehicle fuel consumption modeling using artificial neural networks., , and . ICAC, page 1-6. IEEE, (2019)Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making., , , , , , and . Artif. Intell., (March 2023)On the Visualisation of Argumentation Graphs to Support Text Interpretation., , , and . CoRR, (2023)