Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features

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Atomistic machine learning has revolutionized atomistic modeling. Traditionally, molecular dynamics simulations relied on classical force fields or electronic structure calculations like Density Functional Theory. Classical force fields are fast but less p ...

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The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

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AIM: To characterise the corticoreticular pathway (CRP) in a case -control cohort of adolescent idiopathic scoliosis (AIS) patients using high -resolution slice -accelerated readoutsegmented echo -planar diffusion tensor imaging (DTI) to enhance the discri ...

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Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling (ROM) context, one is interested in obtaining real -time and many-query evaluations of parametric ...

Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features

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Advancing understanding and practical performance of machine learning interatomic potentials

Light-directed evolution of dynamic biological systems

Practical Federated Learning without a Server

Partial discharge localization in power transformer tanks using machine learning methods

Safe Deep Neural Networks

CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction

Random matrix methods for high-dimensional machine learning models

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Generalization of Scaled Deep ResNets in the Mean-Field Regime

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

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Aggregating Spatial and Photometric Context for Photometric Stereo

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

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The hindbrain and cortico-reticular pathway in adolescent idiopathic scoliosis

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

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A graph convolutional autoencoder approach to model order reduction for parametrized PDEs