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03/18/2023
Smartbanner: Intelligent banner design framework that strikes a balance between creative freedom and design rules
Companies use banners extensively to promote their products, and the int...
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01/18/2022
Label-dependent and event-guided interpretable disease risk prediction using EHRs
Electronic health records (EHRs) contain patients' heterogeneous data th...
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01/18/2022
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records
Disease risk prediction has attracted increasing attention in the field ...
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09/04/2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Contextualised word embeddings is a powerful tool to detect contextual s...
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12/22/2020
Revealing the Transmission Dynamics of COVID-19: A Bayesian Framework for R_t Estimation
In epidemiological modelling, the instantaneous reproduction number, R_t...
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10/28/2020
Mitigating Backdoor Attacks in Federated Learning
Malicious clients can attack federated learning systems by using malicio...
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04/25/2020
An Epidemiological Modelling Approach for Covid19 via Data Assimilation
The global pandemic of the 2019-nCov requires the evaluation of policy i...
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11/10/2019
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
The extraction of phenotype information which is naturally contained in ...
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08/17/2019