Results 131 to 140 of about 124,788 (331)

Chaining Meets Chain Rule: Multilevel Entropic Regularization and\n Training of Neural Nets [PDF]

, 2019
Amir R. Asadi, Emmanuel Abbé
openalex   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

An image inpainting method based on generative adversarial networks inversion and autoencoder

IET Image Processing
Image inpainting aims to repair the damaged region according to the known content in the damaged image. Recently, image inpainting methods have poor effects on high‐resolution damaged images, and the research on the inpainting of large‐area damaged ...
Yechen Wang, Bin Song, Zhiyong Zhang
doaj   +1 more source

Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification [PDF]

, 2019
Ting Chen, Song Bian, Yizhou Sun
openalex   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Segmentation‐enhanced gamma spectrum denoising based on deep learning

IET Communications
Gamma spectrum denoising can reduce the adverse effects of statistical fluctuations of radioactivity, gamma ray scattering, and electronic noise on the measured gamma spectrum.
Xiangqun Lu, Hongzhi Zheng, Yaqiong Liu, Hongxing Li, Qingyun Zhou, Tao Li, Hongguang Yang   +6 more
doaj   +1 more source

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural\n Nets [PDF]

, 2015
Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell   +4 more
openalex   +1 more source

Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network [PDF]

, 2021
Bo Pan, Wei Zheng
openalex   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Neural nets

Научно-технический вестник информационных технологий, механики и оптики, 2007
Научный руководитель С.А. Ермолаева. В статье рассматриваются некоторые наиболее интересные свойства современных нейронных сетей, их устройство и характеристики. Также приведена краткая история появления современных методов искусственного интеллекта, моделирующих деятельность человеческого мозга.
openaire   +1 more source