Výsledky vyhledávání - Classified Discrimination Autoencoder

Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination Autor Abdulaziz, Abdullah, Zhou, Jianxin, Di Fulvio, Angela, Altmann, Yoann, McLaughlin, Stephen

“…We address the problem of pulse shape discrimination (PSD) for radiation sources characterization by leveraging a Gaussian mixture variational autoencoder (GMVAE…”
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Discrimination model using denoising autoencoder-based majority vote classification for reducing false alarm rate Autor Lee, Heonyong, Yu, Kyungtak, Kim, Shiu

“… To address these issues, this paper proposes a denoising autoencoder-based majority vote classification…”
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Discrimination model using denoising autoencoder-based majority vote classification for reducing false alarm rate Autor Heonyong Lee, Kyungtak Yu, Shiu Kim

“… To address these issues, this paper proposes a denoising autoencoder-based majority vote classification…”
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An Attempt at Autonomous Identification of Neuronal Activity Patterns in Dissociated Neuronal Network, by Multi-layered Artificial Neuronal Network Autor Sakuta, Hiromichi, Kudoh, Suguru N.

“… We adopted the multilayered artificial neural network (ml-ANN) as the Deep-Learning method with stacked-autoencoder as the pre-training method and classified the neuronal feature expressions…”
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A secure marine mammal audio retrieval algorithm based on deep biohashing Autor Zhang, Yuan, Li, Deshun, Gao, Shulin, Zhu, Rongxin, Huang, Xiangdang, Yang, Qiuling

“…) autoencoder model to extract the deep features of dynamic Gammatone Cepstral Coefficients (GTCC), which improves robustness and discrimination of retrieval algorithm…”
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Stack of discriminative autoencoders for multiclass anomaly detection in endoscopy images Autor Mohebbian, Mohammad Reza, Wahid, Khan A, Babyn, Paul

“…Wireless Capsule Endoscopy (WCE) helps physicians examine the gastrointestinal (GI) tract noninvasively. There are few studies that address pathological…”
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Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy Autor Suo, Xueling, Chen, Mengyao, Chen, Li, Luo, Chunyan, Kemp, Graham J., Lui, Su, Sun, Huaiqiang

“…’) for the discrimination of PD vs PPS using routine clinical MRI scans. We used 75,861 clinical head MRI scans including T1-weighted, T2-weighted and fluid attenuated inversion…”
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Automated gleason grading on prostate biopsy slides by statistical representations of homology profile Autor Yan, Chaoyang, Nakane, Kazuaki, Wang, Xiangxue, Fu, Yao, Lu, Haoda, Fan, Xiangshan, Feldman, Michael D., Madabhushi, Anant, Xu, Jun

“… Prostate cancer is typically classified into one of 5 different categories with 1 representing the most indolent disease and 5 reflecting the most aggressive disease…”
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Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education Autor Hooshyar, Danial, Azevedo, Roger, Yang, Yeongwook

“… As education is classified as a ‘high-risk’ domain under recent regulatory frameworks like the EU AI Act…”
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QPWS Feature Selection and CAE Fusion of Visible/Near-Infrared Spectroscopy Data for the Identification of Salix psammophila Origin Autor Ma, Yicheng, Li, Ying, Peng, Xinkai, Chen, Congyu, Li, Hengkai, Wang, Xinping, Wang, Weilong, Lan, Xiaozhen, Wang, Jixuan, Pei, Zhiyong

“…Salix psammophila, classified under the Salicaceae family, is a deciduous, densely branched, and erect shrub…”
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Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategyResearch in context Autor Xueling Suo, Mengyao Chen, Li Chen, Chunyan Luo, Graham J. Kemp, Su Lui, Huaiqiang Sun

“…’) for the discrimination of PD vs PPS using routine clinical MRI scans. Methods: We used 75,861 clinical head MRI scans including T1-weighted, T2-weighted and fluid attenuated…”
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