38 citations · 45 across the 8 of their papers we have counts for
8 papers
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics
Qingpeng Cai, Kaiping Zheng, H. V. Jagadish +2
Cohort studies are of significant importance in the field of healthcare analysis. However, existing methods typically involve manual, labor-intensive, and expert-driven pattern def…
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis
Changshuo Liu, Wenqiao Zhang, Beng Chin Ooi +3
Electronic Health Records (EHR) are generated from clinical routine care recording valuable information of broad patient populations, which provide plentiful opportunities for impr…
From Plate to Prevention: A Dietary Nutrient-aided Platform for Health Promotion in Singapore
Kaiping Zheng, Thao Nguyen, Jesslyn Hwei Sing Chong +7
Singapore has been striving to improve the provision of healthcare services to her people. In this course, the government has taken note of the deficiency in regulating and supervi…
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
Lei Zhu, Zhaojing Luo, Wei Wang +3
Deep learning models usually require a large amount of labeled data to achieve satisfactory performance. In multimedia analysis, domain adaptation studies the problem of cross-doma…
ARM-Net: Adaptive Relation Modeling Network for Structured Data
Shaofeng Cai, Kaiping Zheng, Gang Chen +3
Relational databases are the de facto standard for storing and querying structured data, and extracting insights from structured data requires advanced analytics. Deep neural netwo…
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang +7
With the ever-increasing adoption of machine learning for data analytics, maintaining a machine learning pipeline is becoming more complex as both the datasets and trained models e…
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua +3
In high stakes applications such as healthcare and finance analytics, the interpretability of predictive models is required and necessary for domain practitioners to trust the pred…
Attentive Geo-Social Group Recommendation
Fei Yu, Feiyi Fan, Shouxu Jiang +1
Social activities play an important role in people's daily life since they interact. For recommendations based on social activities, it is vital to have not only the activity infor…