research
∙
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...
share
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
01/15/2022
Hyperplane bounds for neural feature mappings
Deep learning methods minimise the empirical risk using loss functions s...
research
∙
06/08/2021
ICDAR 2021 Competition on Scientific Literature Parsing
Scientific literature contain important information related to cutting-e...
research
∙
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...
research
∙
03/22/2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
We introduce a grey-box adversarial attack and defence framework for sen...
research
∙
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...
research
∙
01/17/2021
Understanding in Artificial Intelligence
Current Artificial Intelligence (AI) methods, most based on deep learnin...
research
∙
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...
research
∙
11/25/2019
Image-based table recognition: data, model, and evaluation
Important information that relates to a specific topic in a document is ...
research
∙
09/11/2019
Global Locality in Event Extraction
Due to the exponential growth of biomedical literature, event and relati...
research
∙
08/16/2019
PubLayNet: largest dataset ever for document layout analysis
Recognizing the layout of unstructured digital documents is an important...
research
∙
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...
research
∙
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...
research
∙
10/26/2016
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings
Biomedical word sense disambiguation (WSD) is an important intermediate ...
research
∙
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...
research
∙
04/09/2016
