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06/11/2023
Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach
Representation learning for time series has been an important research a...
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04/01/2023
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation
We conducted a prospective study to measure the clinical impact of an ex...
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03/03/2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Federated learning (FL) is a machine learning (ML) approach that allows ...
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11/13/2022
Enhancing Few-shot Image Classification with Cosine Transformer
This paper addresses the few-shot image classification problem. One nota...
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08/07/2022
Video-based Human Action Recognition using Deep Learning: A Review
Human action recognition is an important application domain in computer ...
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03/20/2022
VinDr-PCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
Computer-aided diagnosis systems in adult chest radiography (CXR) have r...
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03/20/2022
