Search Results for author:
Found 4 papers, 2 papers with code
RSTAR: Rotational Streak Artifact Reduction in 4D CBCT using Separable and Circular Convolutions
In this paper, we first explore the origin and appearance of streak artifacts in 4D CBCT images. Specifically, we find that streak artifacts exhibit a periodic rotational motion along with the patient's respiration.
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Motivated by this, this paper proposes DPSUR, a Differentially Private training framework based on Selective Updates and Release, where the gradient from each iteration is evaluated based on a validation test, and only those updates leading to convergence are applied to the model.
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack
Recent years have witnessed the success of recurrent neural network (RNN) models in time series classification (TSC).
Exploiting Pre-Trained ASR Models for Alzheimer's Disease Recognition Through Spontaneous Speech
Input to these classifiers are speech transcripts produced by automatic speech recognition (ASR) models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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