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04/13/2023
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management
This paper proposes a framework for developing forecasting models by str...
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03/29/2023
Development of a deep learning-based tool to assist wound classification
This paper presents a deep learning-based wound classification tool that...
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11/02/2022
Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram
Survival modeling in healthcare relies on explainable statistical models...
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04/29/2022
A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram
Electrocardiogram(ECG) is commonly used to detect cardiac irregularities...
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03/23/2022
Domain-Generalized Textured Surface Anomaly Detection
Anomaly detection aims to identify abnormal data that deviates from the ...
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11/30/2021
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments
This paper proposes the Transition Motion Tensor, a data-driven framewor...
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12/29/2020
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
In this paper, we propose a framework called TrustMAE to address the pro...
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05/07/2020
