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06/18/2023
Outcome measurement error correction for survival analyses with multiple failure types: application to hearing loss studies
In epidemiological studies, participants' disease status is often collec...
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11/25/2022
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation
Scoliosis is a three-dimensional deformity of the spine, most often diag...
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11/02/2022
Analytical method for detecting outlier evaluators
Epidemiologic and medical studies often rely on evaluators to obtain mea...
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12/15/2021
Advancing Residual Learning towards Powerful Deep Spiking Neural Networks
Despite the rapid progress of neuromorphic computing, inadequate capacit...
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12/09/2021
Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks
Despite the rapid progress of neuromorphic computing, the inadequate dep...
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07/25/2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Although spiking neural networks (SNNs) take benefits from the bio-plaus...
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06/30/2021
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Biological spiking neurons with intrinsic dynamics underlie the powerful...
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10/29/2020
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Spiking neural networks (SNNs) are promising in a bio-plausible coding f...
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06/05/2020
Brain-inspired global-local hybrid learning towards human-like intelligence
The combination of neuroscience-oriented and computer-science-oriented a...
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05/02/2020
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Neuromorphic data, recording frameless spike events, have attracted cons...
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01/01/2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Recently, backpropagation through time inspired learning algorithms are ...
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11/21/2019
Spline Analysis of Biomarker Data Pooled From Multiple Matched/Nested Case-Control Studies
Pooling biomarker data across multiple studies enables researchers to ge...
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11/03/2019
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Spiking neural network is an important family of models to emulate the b...
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09/16/2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Spiking neural networks (SNNs) are gaining more attention as a promising...
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06/08/2017
