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08/24/2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
The Intensive Care Unit (ICU) is one of the most important parts of a ho...
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08/19/2023
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs
Predicting the risk of in-hospital mortality from electronic health reco...
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11/11/2022
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values
Predicting the health risks of patients using Electronic Health Records ...
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07/13/2022
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction
Building models for health prediction based on Electronic Health Records...
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04/20/2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
The COVID-19 pandemic has been severely impacting global society since D...
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01/15/2022
Hyperplane bounds for neural feature mappings
Deep learning methods minimise the empirical risk using loss functions s...
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06/08/2021
ICDAR 2021 Competition on Scientific Literature Parsing
Scientific literature contain important information related to cutting-e...
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05/25/2021
Impact of detecting clinical trial elements in exploration of COVID-19 literature
The COVID-19 pandemic has driven ever-greater demand for tools which ena...
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03/22/2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
We introduce a grey-box adversarial attack and defence framework for sen...
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01/19/2021
Single versus Multiple Annotation for Named Entity Recognition of Mutations
The focus of this paper is to address the knowledge acquisition bottlene...
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01/17/2021
Understanding in Artificial Intelligence
Current Artificial Intelligence (AI) methods, most based on deep learnin...
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08/18/2020
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
We present COVID-SEE, a system for medical literature discovery based on...
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11/25/2019
Image-based table recognition: data, model, and evaluation
Important information that relates to a specific topic in a document is ...
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09/11/2019
Global Locality in Event Extraction
Due to the exponential growth of biomedical literature, event and relati...
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08/16/2019
PubLayNet: largest dataset ever for document layout analysis
Recognizing the layout of unstructured digital documents is an important...
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06/23/2017
Named Entity Recognition with stack residual LSTM and trainable bias decoding
Recurrent Neural Network models are the state-of-the-art for Named Entit...
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05/19/2017
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
Deep Neural Networks (DNN) achieve human level performance in many image...
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10/26/2016
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings
Biomedical word sense disambiguation (WSD) is an important intermediate ...
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05/25/2016
Improving energy efficiency and classification accuracy of neuromorphic chips by learning binary synaptic crossbars
Deep Neural Networks (DNN) have achieved human level performance in many...
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04/09/2016