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05/08/2023
Autoencoder-based prediction of ICU clinical codes
Availability of diagnostic codes in Electronic Health Records (EHRs) is ...
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03/28/2023
Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes
We investigate different natural language processing (NLP) approaches ba...
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12/20/2021
Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection
Large-scale graph data in the real-world are often dynamic rather than s...
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05/10/2021
Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities
We address the problem of recommending relevant items to a user in order...
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06/25/2020
Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift
Current graph neural networks (GNNs) are promising, especially when the ...
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07/22/2019
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
We present multi-modal adversarial autoencoders for recommendation and e...
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05/15/2019
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference
Large-scale graph data in real-world applications is often not static bu...
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09/28/2017
