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20152021
most citedUnsupervised Feature Analysis with Class Margin Optimization

13 citations · 25 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.LG20212 cited

Sequential Diagnosis Prediction with Transformer and Ontological Representation

Xueping Peng, Guodong Long, Tao Shen +2

Sequential diagnosis prediction on the Electronic Health Record (EHR) has been proven crucial for predictive analytics in the medical domain. EHR data, sequential records of a pati…

cs.LG2021

Global Convolutional Neural Processes

Xuesong Wang, Lina Yao, Xianzhi Wang +2

The ability to deal with uncertainty in machine learning models has become equally, if not more, crucial to their predictive ability itself. For instance, during the pandemic, gove…

cs.LG2020

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes

Xueping Peng, Guodong Long, Tao Shen +3

Electronic health records (EHRs) are longitudinal records of a patient's interactions with healthcare systems. A patient's EHR data is organized as a three-level hierarchy from top…

cs.LG20205 cited

Self-Attention Enhanced Patient Journey Understanding in Healthcare System

Xueping Peng, Guodong Long, Tao Shen +2

Understanding patients' journeys in healthcare system is a fundamental prepositive task for a broad range of AI-based healthcare applications. This task aims to learn an informativ…

cs.LG20162 cited

Uncovering Locally Discriminative Structure for Feature Analysis

Sen Wang, Feiping Nie, Xiaojun Chang +3

Manifold structure learning is often used to exploit geometric information among data in semi-supervised feature learning algorithms. In this paper, we find that local discriminati…

cs.LG201513 cited

Unsupervised Feature Analysis with Class Margin Optimization

Sen Wang, Feiping Nie, Xiaojun Chang +3

Unsupervised feature selection has been always attracting research attention in the communities of machine learning and data mining for decades. In this paper, we propose an unsupe…