Search Results - "Autoen-coder"

Deep Learning Approach for Epileptic Focus Localization by Daoud, Hisham, Bayoumi, Magdy

“… The clinicians highly depend on the intracranial EEG data to make a surgical decision related to epileptic subjects suffering from uncontrollable seizures…”
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Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization by Habijan, Marija, Galić, Irena, Leventić, Hrvoje, Romić, Krešimir

“…An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in…”
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Clustering Continuous Wavelet Transform Characteristics of Heart Rate Variability through Unsupervised Learning by Wachowiak, Mark P., Moggridge, Jason J., Wachowiak-Smolikova, Renata

“… Among the applications of unsupervised learning, clustering is one of the most important. In this paper, an unsupervised autoen-coder architecture, deep…”
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基于生成式人工智能的眼动样本生成及识别 by 谭雪青, 宋军, 张慢慢, 臧传丽

“…TP391.4%B842.5; 目的 生成式和传统人工智能模型是信息时代的关键工具.在这些技术的助力下,眼动过程的样本生成与识别显得尤为关键,它已成为深入研究认知机制的重要手段.为了推动生成式人工智能在眼动技术领域的应用发展,解决眼动样本生成及因网络深度增加而导致的不透明性和不可解释性问题,并深入挖掘与幼儿语言发展相关的眼动数据,方法 采集4～6岁幼儿理解不同焦点结构的眼动数据,采用生成式人工智能模型-变分自编码器(variational autoen-coder,VAE…”
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Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening by Alaverdyan, Zaruhi, Jung, Julien, Bouet, Romain, Lartizien, Carole

“…•Our brain anomaly detection model is trained on normal subjects only.•Our model combines unsupervised latent representation with a novel deep siamese network and one-class classification…”
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Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders by Garoufis, C., Zlatintsi, A., Filntisis, P. P., Efthymiou, N., Kalisperakis, E., Karantinos, T., Garyfalli, V., Lazaridi, M., Smyrnis, N., Maragos, P.

“…Generative models, such as Variational Autoen-coders, are being increasingly utilized for various acoustic modeling tasks, such as anomaly detection from audio signals…”
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Partizipation in der Hochschullehre: Entwicklung und Validierung eines Fragebogens zur Erfassung studentischer Partizipationsmöglichkeiten by Jüttler, Michael, Kärner, Tobias

“…Gegenstand des Beitrags ist die Entwicklung und Validierung eines Fragebogens zur Erfassung der wahrgenommenen Partizipationsmöglichkeiten von Studierenden…”
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