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Issue DateTitleAuthor(s)
2021-01Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents.Esmaili, N; Buchlak, QD; Piccardi, M; Kruger, B; Girosi, F
2021-12-07Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiographySeah, J; Tang, C; Buchlak, QD; Milne, MR; Holt, X; Ahmad, H; Lambert, J; Esmaili, N; Oakden-Rayner, L; Brotchie, P; Jones, CM
2021-07Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.Buchlak, QD; Esmaili, N; Leveque, J-C; Bennett, C; Farrokhi, F; Piccardi, M
2021-08Chest radiographs and machine learning - Past, present and future.Jones, CM; Buchlak, QD; Oakden-Rayner, L; Milne, M; Seah, J; Esmaili, N; Hachey, B
2017A Greedy Primal-Dual Type Heuristic to Select an Inventory Control PolicyEsmaili, N; Norman, B; Rajgopal, J
2021-12-02A REINFORCEd Variational Autoencoder Topic ModelKumar, A; Esmaili, N; Piccardi, M
2021-12-20Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.Jones, CM; Danaher, L; Milne, MR; Tang, C; Seah, J; Oakden-Rayner, L; Johnson, A; Buchlak, QD; Esmaili, N
2019-01-01ReWE: Regressing word embeddings for regularization of neural machine translation systemsUnanue, IJ; Borzeshi, EZ; Esmaili, N; Piccardi, M
2022-11-15Neural Topic Model Training with the REBAR Gradient EstimatorKumar, A; Esmaili, N; Piccardi, M
2022Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.Buchlak, QD; Esmaili, N; Bennett, C; Farrokhi, F
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