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09/15/2023
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Scarcity of health care resources could result in the unavoidable conseq...
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08/26/2023
Exploring Large Language Models for Knowledge Graph Completion
Knowledge graphs play a vital role in numerous artificial intelligence t...
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06/25/2023
On Strong Secrecy for Multiple Access Channels with States and Causal CSI
Strong secrecy communication over a discrete memoryless state-dependent ...
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05/26/2023
Incentive Mechanism for Uncertain Tasks under Differential Privacy
Mobile crowd sensing (MCS) has emerged as an increasingly popular sensin...
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05/02/2023
On Strong Secrecy for Multiple Access Channel with States and Causal CSI
Strong secrecy communication over a discrete memoryless state-dependent ...
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04/20/2023
Medical Image Deidentification, Cleaning and Compression Using Pylogik
Leveraging medical record information in the era of big data and machine...
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02/20/2023
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Dynamic diagnosis is desirable when medical tests are costly or time-con...
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02/08/2023
IRTCI: Item Response Theory for Categorical Imputation
Most datasets suffer from partial or complete missing values, which has ...
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02/01/2023
Using Machine Learning to Develop Smart Reflex Testing Protocols
Objective: Reflex testing protocols allow clinical laboratories to perfo...
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01/27/2023
A Comparative Study of Pretrained Language Models for Long Clinical Text
Objective: Clinical knowledge enriched transformer models (e.g., Clinica...
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10/13/2022
SHINE: SubHypergraph Inductive Neural nEtwork
Hypergraph neural networks can model multi-way connections among nodes o...
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07/05/2022
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets
Over 12 billion doses of COVID-19 vaccines have been administered at the...
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05/07/2022
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury
Acute kidney injury (AKI) is a common clinical syndrome characterized by...
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04/10/2022
Multimodal Machine Learning in Precision Health
As machine learning and artificial intelligence are more frequently bein...
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03/05/2022
Machine Learning Applications in Diagnosis, Treatment and Prognosis of Lung Cancer
The recent development of imaging and sequencing technologies enables sy...
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02/27/2022
Distribution Preserving Graph Representation Learning
Graph neural network (GNN) is effective to model graphs for distributed ...
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01/31/2022
Topology-Preserving Dimensionality Reduction via Interleaving Optimization
Dimensionality reduction techniques are powerful tools for data preproce...
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01/27/2022
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
Transformers-based models, such as BERT, have dramatically improved the ...
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01/09/2022
Open-Set Recognition of Breast Cancer Treatments
Open-set recognition generalizes a classification task by classifying te...
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12/24/2021
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer
Background: The increasing adoption of electronic health records (EHR) a...
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12/20/2021
Natural language processing to identify lupus nephritis phenotype in electronic health records
Systemic lupus erythematosus (SLE) is a rare autoimmune disorder charact...
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12/15/2021
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients
Background Sepsis is one of the most life-threatening circumstances for ...
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11/19/2021
SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes
Hypertension is the leading global cause of cardiovascular disease and p...
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11/18/2021
Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population
Machine learning in medicine leverages the wealth of healthcare data to ...
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11/09/2021
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes
Sepsis is an important cause of mortality, especially in intensive care ...
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10/31/2021
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records
Delirium is a common acute onset brain dysfunction in the emergency sett...
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09/13/2021
Multipoint-to-point data aggregation using a single receiver and frequency-multiplexed intensity-modulated ONUs
We demonstrate 2.5-GHz-spacing frequency multiplexing capable of aggrega...
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08/17/2021
Aggregation Delayed Federated Learning
Federated learning is a distributed machine learning paradigm where mult...
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08/11/2021
Accelerating Iterated Persistent Homology Computations with Warm Starts
Persistent homology is a topological feature used in a variety of applic...
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05/24/2021
Constructions of Binary Optimal Locally Repairable Codes via Intersection Subspaces
Locally repairable codes (LRCs), which can recover any symbol of a codew...
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02/22/2021
Non-Convex Optimization with Spectral Radius Regularization
We develop a regularization method which finds flat minima during the tr...
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12/15/2020
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning
Genetic pathways usually encode molecular mechanisms that can inform tar...
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10/12/2020
Towards Expressive Graph Representation
Graph Neural Network (GNN) aggregates the neighborhood of each node into...
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09/03/2020
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports
Joint image-text embedding extracted from medical images and associated ...
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07/06/2020
Total Variation Distance Based Performance Analysis of Covert Communication over AWGN Channels in Non-asymptotic Regime
This paper investigates covert communication over an additive white Gaus...
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06/03/2020
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
In inference, open-set classification is to either classify a sample int...
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03/30/2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities
Anomaly detection is crucial to ensure the security of cyber-physical sy...
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12/06/2019
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings
Distributed representations of medical concepts have been used to suppor...
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11/27/2019
Conditional Hierarchical Bayesian Tucker Decomposition
Our research focuses on studying and developing methods for reducing the...
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10/15/2019
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
Predicting patient mortality is an important and challenging problem in ...
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10/14/2019
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Distributed representations have been used to support downstream tasks i...
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09/25/2019
One-shot achievability and converse bounds of Gaussian random coding in AWGN channels under covert constraints
This paper considers the achievability and converse bounds on the maxima...
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09/07/2019
KG-BERT: BERT for Knowledge Graph Completion
Knowledge graphs are important resources for many artificial intelligenc...
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08/16/2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Training accurate deep neural networks (DNNs) in the presence of noisy l...
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08/12/2019
Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension
The problem of missing values in multivariable time series is a key chal...
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08/12/2019
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension
The problem of missing values in multivariable time series is a key chal...
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04/10/2019
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
Acute Kidney Injury (AKI) is a common clinical syndrome characterized by...
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03/31/2019
MedGCN: Graph Convolutional Networks for Multiple Medical Tasks
Laboratory testing and medication prescription are two of the most impor...
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03/31/2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Image representation is a fundamental task in computer vision. However, ...
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01/10/2019
