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06/08/2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Text-to-image generative models have enabled high-resolution image synth...
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04/26/2023
Towards clinical AI fairness: A translational perspective
Artificial intelligence (AI) has demonstrated the ability to extract ins...
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04/14/2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review
Federated learning (FL) has gained popularity in clinical research in re...
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04/07/2023
A roadmap to fair and trustworthy prediction model validation in healthcare
A prediction model is most useful if it generalizes beyond the developme...
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03/01/2023
FedScore: A privacy-preserving framework for federated scoring system development
We propose FedScore, a privacy-preserving federated learning framework f...
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02/18/2023
Resource Allocation for Cell-free Massive MIMO-enabled URLLC Downlink Systems
Ultra-reliable and low-latency communication (URLLC) is a pivotal techni...
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01/29/2023
Discrete gradient structure of a second-order variable-step method for nonlinear integro-differential models
The discrete gradient structure and the positive definiteness of discret...
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12/16/2022
Shapley variable importance cloud for machine learning models
Current practice in interpretable machine learning often focuses on expl...
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12/16/2022
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
Dengue fever is a virulent disease spreading over 100 tropical and subtr...
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11/22/2022
Resource Allocation for Uplink Cell-Free Massive MIMO enabled URLLC in a Smart Factory
Smart factories need to support the simultaneous communication of multip...
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10/22/2022
Asymptotically compatible energy of variable-step fractional BDF2 formula for time-fractional Cahn-Hilliard model
A new discrete energy dissipation law of the variable-step fractional BD...
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10/15/2022
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Objective: The proper handling of missing values is critical to deliveri...
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06/21/2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics
Infectious diseases remain among the top contributors to human illness a...
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06/08/2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making
Objective: Shapley additive explanations (SHAP) is a popular post-hoc te...
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06/06/2022
Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM
In this paper, we focus our attention on private Empirical Risk Minimiza...
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06/03/2022
Compositional Visual Generation with Composable Diffusion Models
Large text-guided diffusion models, such as DALLE-2, are able to generat...
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02/17/2022
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes
Background: Risk prediction models are useful tools in clinical decision...
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01/16/2022
Unconditionally optimal error estimate of a linearized variable-time-step BDF2 scheme for nonlinear parabolic equations
In this paper we consider a linearized variable-time-step two-step backw...
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01/10/2022
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort
Risk scores are widely used for clinical decision making and commonly ge...
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11/22/2021
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records
There is a continuously growing demand for emergency department (ED) ser...
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11/18/2021
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis
Objective: Heart rate variability (HRV) has been proven to be an importa...
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11/17/2021
Learning to Compose Visual Relations
The visual world around us can be described as a structured set of objec...
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10/06/2021
Shapley variable importance clouds for interpretable machine learning
Interpretable machine learning has been focusing on explaining final mod...
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09/13/2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
A critical aspect of autonomous vehicles (AVs) is the object detection s...
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07/21/2021
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective: Temporal electronic health records (EHRs) can be a wealth of ...
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07/13/2021
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Background: Medical decision-making impacts both individual and public h...
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06/13/2021
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
Scoring systems are highly interpretable and widely used to evaluate tim...
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04/09/2021
Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework
Work to date on language-informed video understanding has primarily addr...
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12/07/2020
Cluster analysis of presolar silicon carbide grains: evaluation of their classification and astrophysical implications
Cluster analysis of presolar silicon carbide grains based on literature ...
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10/16/2020
The Capacity of Symmetric Private Information Retrieval under Arbitrary Collusion and Eavesdropping Patterns
We study the symmetric private information retrieval (SPIR) problem unde...
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04/02/2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Federated learning has been widely studied and applied to various scenar...
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01/12/2020
The Capacity of Private Information Retrieval Under Arbitrary Collusion Patterns
We study the private information retrieval (PIR) problem under arbitrary...
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05/03/2019
Time-sync Video Tag Extraction Using Semantic Association Graph
Time-sync comments reveal a new way of extracting the online video tags....
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01/21/2019
The Capacity of Multi-round Private Information Retrieval from Byzantine Databases
In this work, we investigate the capacity of private information retriev...
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06/29/2018
The Economics of Video Websites with Membership-Advertising Mode in Wireless Networks
In this paper, we consider a novel business model of video websites via ...
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02/08/2018
Coded Caching with Heterogeneous Cache Sizes and Link Qualities: The Two-User Case
The centralized coded caching problem is studied under heterogeneous cac...
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06/14/2017