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07/04/2022
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
Automatic generation of medical reports from X-ray images can assist rad...
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06/11/2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
In few-shot domain adaptation (FDA), classifiers for the target domain a...
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11/12/2020
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
Non-negative tensor factorization has been shown a practical solution to...
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08/07/2020
Ontology-based Graph Visualization for Summarized View
Data summarization that presents a small subset of a dataset to users ha...
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05/18/2018
GANE: A Generative Adversarial Network Embedding
Network embedding has become a hot research topic recently which can pro...
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05/01/2017
Towards well-specified semi-supervised model-based classifiers via structural adaptation
Semi-supervised learning plays an important role in large-scale machine ...
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06/03/2016
Learning Stylometric Representations for Authorship Analysis
Authorship analysis (AA) is the study of unveiling the hidden properties...
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09/25/2011
