Journal Articles

• Reich, T., Bakirov, R., Budka, D., Kelly, D., Smith, J., Richardson, T., Budka, M., 2025. Data-Driven Strategies for Carbimazole Titration: Exploring Machine Learning Solutions in Hyperthyroidism Control. Journal of Clinical Endocrinology and Metabolism, 110 (4), 1105-1114.
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• Reich, T., Hulbert, D., Budka, M., 2022. A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism. Algorithms, 15 (9).
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• Reich, T., Budka, M., David, H., 2021. Bus journey simulation to develop public transport predictive algorithms. Soft Computing Letters.
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• Reich, T., Bancroft, A., Budka, M., 2021. EP11 Using machine learning to recover unrecorded prehospital data. Emergency Medicine Journal, 38 (9), A5-A6.
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• Reich, T., Budka, M., 2019. Proof of concept for a syndromic surveillance system based on routine ambulance records in the South West of England, for the influenza season 2016/2017. Br Paramed J, 4 (2), 22-30.
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Conferences

• Reich, T., Budka, M., Hulbert, D., 2020. Impact of Data Quality and Target Representation on Predictions for Urban Bus Networks. 2020 IEEE Symposium Series on Computational Intelligence Ssci 2020, 2843-2852.
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Theses

• Reich, T., 2022. Sequence modelling using deep learning approaches for spatiotemporal public transport data. Bournemouth University, Faculty of Science and Technology.
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