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03/13/2023
InferFix: End-to-End Program Repair with LLMs
Software development life cycle is profoundly influenced by bugs: their ...
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09/27/2022
A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges
Fairness, a criterion focuses on evaluating algorithm performance on dif...
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03/08/2022
Learning to Reduce False Positives in Analytic Bug Detectors
Due to increasingly complex software design and rapid iterative developm...
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11/26/2021
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction
Liver cancer is one of the most common malignant diseases in the world. ...
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07/21/2019
Early Anomaly Detection in Power Systems Based on Random Matrix Theory
It is important for detecting the anomaly in power systems before it exp...
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05/06/2019
Estimation of high-dimensional factor models and its application in power data analysis
In dealing with high-dimensional data, factor models are often used for ...
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08/27/2018
Adversarial Feature Learning of Online Monitoring Data for Operation Reliability Assessment in Distribution Network
With deployments of online monitoring systems in distribution networks, ...
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01/05/2018
Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach
In this paper, a data-driven Methodology is developed for the incipient ...
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10/23/2017
Autoencoder Feature Selector
High-dimensional data in many areas such as computer vision and machine ...
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06/20/2017
