Publications (Computational Statistics and Machine Learning) Publications Venkatesh, S. et al. (2024) “Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records”, Nature Communications, 15(1). Venkatesh, S. et al. (2024) “Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records”, Nature Communications, 15(1). Homberg, S. et al. (2024) “Interpreting Graph Neural Networks with Myerson Values for Cheminformatics Approaches.” Budd, J. et al. (2024) “A large-scale and PCR-referenced vocal audio dataset for COVID-19”, Scientific Data, 11(1). Budd, J. et al. (2024) “A large-scale and PCR-referenced vocal audio dataset for COVID-19”, Scientific Data, 11(1). Warren, M. et al. (2024) “How to make machine learning scoring functions competitive with FEP.” Lu, Y., Reinert, G. and Cucuringu, M. (2024) “Trade co-occurrence, trade flow decomposition, and conditional order imbalance in equity markets”, Quantitative Finance, 24(6), pp. 779–809. Armbruster, S. and Reinert, G. (2024) “Network-based time series modeling for COVID-19 incidence in the Republic of Ireland”, Applied Network Science, 9(1). Howard, S. et al. (2024) “Differentiable Cost-Parameterized Monge Map Estimators”, arXiv. Whitehead, M. et al. (2024) “Equity in medical devices: trainers and educators play a vital role”, The BMJ, 385, pp. q1091 - q1091-. Pagination First page First Previous page ‹ … Page 8 Page 9 Page 10 Page 11 Page 12 Page 13 Page 14 Page 15 Page 16 … Next page › Last page Last