ALADDIn: Autoencoder-LSTM-Based Anomaly Detector of Deformation in InSAR von Shakeel, Anza, Walters, Richard J., Ebmeier, Susanna K., Moubayed, Noura Al

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Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records von Alhassan, Zakhriya, Watson, Matthew, Budgen, David, Alshammari, Riyad, Alessa, Ali, Al Moubayed, Noura

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Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm von Alhassan, Zakhriya, Budgen, David, Alshammari, Riyad, Al Moubayed, Noura

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Ask me in your own words: paraphrasing for multitask question answering von Hudson, G. Thomas, Al Moubayed, Noura

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Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation von Yu, Jialin, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Shi, Lei, Moubayed, Noura Al

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Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling von Al Moubayed, Noura, McGough, Stephen, Awwad Shiekh Hasan, Bashar

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A deep learning approach to fight illicit trafficking of antiquities using artefact instance classification von Winterbottom, Thomas, Leone, Anna, Al Moubayed, Noura

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Premature mortality analysis of 52,000 deceased cats and dogs exposes socioeconomic disparities von Farrell, Sean, Anderson, Katharine, Noble, Peter-John Mäntylä, Al Moubayed, Noura

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Explainable text-tabular models for predicting mortality risk in companion animals von Burton, James, Farrell, Sean, Mäntylä Noble, Peter-John, Al Moubayed, Noura

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Negation Invariant Representations of 3-D Vectors for Deep Learning Models Applied to Fault Geometry Mapping in 3-D Seismic Reflection Data von Kluvanec, Daniel, McCaffrey, Kenneth J. W., Phillips, Thomas B., Al Moubayed, Noura

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Predicting acute clinical deterioration with interpretable machine learning to support emergency care decision making von Boulitsakis Logothetis, Stelios, Green, Darren, Holland, Mark, Al Moubayed, Noura

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Using model explanations to guide deep learning models towards consistent explanations for EHR data von Watson, Matthew, Awwad Shiekh Hasan, Bashar, Al Moubayed, Noura

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Author Correction: Using model explanations to guide deep learning models towards consistent explanations for EHR data von Watson, Matthew, Awwad Shiekh Hasan, Bashar, Al Moubayed, Noura

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PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records von Farrell, Sean, Appleton, Charlotte, Noble, Peter-John Mäntylä, Al Moubayed, Noura

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Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study von Zuo, Zheming, Watson, Matthew, Budgen, David, Hall, Robert, Kennelly, Chris, Al Moubayed, Noura

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Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels von Winterbottom, Thomas, Xiao, Sarah, McLean, Alistair, Al Moubayed, Noura

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Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions von Watson, Matthew, Boulitsakis Logothetis, Stelios, Green, Darren, Holland, Mark, Chambers, Pinkie, Al Moubayed, Noura

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From prediction to practice: mitigating bias and data shift in machine-learning models for chemotherapy-induced organ dysfunction across unseen cancers von Watson, Matthew, Chambers, Pinkie, Steventon, Luke, Harmsworth King, James, Ercia, Angelo, Shaw, Heather, Al Moubayed, Noura

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Personalising monitoring for chemotherapy patients through predicting deterioration in renal and hepatic function von Chambers, Pinkie, Watson, Matthew, Bridgewater, John, Forster, Martin D., Roylance, Rebecca, Burgoyne, Rebecca, Masento, Sebastian, Steventon, Luke, Harmsworth King, James, Duncan, Nick, al Moubayed, Noura

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Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine von Al Moubayed, Noura, Wall, David, McGough, A. Stephen

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