Sökresultat - "deep neural network"

Number of necessary training examples for Neural Networks with different number of trainable parameters av Th.I. Götz, S. Göb, S. Sawant, X.F. Erick, T. Wittenberg, C. Schmidkonz, A.M. Tomé, E.W. Lang, A. Ramming

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Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis av Ying Yin, Ying Yin, T. Elizabeth Workman, T. Elizabeth Workman, John R. Blosnich, John R. Blosnich, Cynthia A. Brandt, Melissa Skanderson, Yijun Shao, Yijun Shao, Joseph L. Goulet, Qing Zeng-Treitler, Qing Zeng-Treitler

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Microcalcification Discrimination in Mammography Using Deep Convolutional Neural Network: Towards Rapid and Early Breast Cancer Diagnosis av Yew Sum Leong, Khairunnisa Hasikin, Khairunnisa Hasikin, Khin Wee Lai, Norita Mohd Zain, Muhammad Mokhzaini Azizan

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Mixture of Experts for EEG-Based Seizure Subtype Classification av Zhenbang Du, Ruimin Peng, Wenzhong Liu, Wei Li, Dongrui Wu

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Deep Modeling of Regulating Effects of Small Molecules on Longevity-Associated Genes av Jiaying You, Michael Hsing, Artem Cherkasov

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Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning av Liangxu Xie, Liangxu Xie, Lei Xu, Ren Kong, Shan Chang, Xiaojun Xu

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Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug Dev... av Woojin Jung, Sungwoo Goo, Taewook Hwang, Hyunjung Lee, Young-Kuk Kim, Jung-woo Chae, Hwi-yeol Yun, Sangkeun Jung

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Deep learning-based drug screening for the discovery of potential therapeutic agents for Alzheimer's disease av Tong Wu, Ruimei Lin, Pengdi Cui, Jie Yong, Heshui Yu, Zheng Li

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Uncertainty-Aware Denoising Network for Artifact Removal in EEG Signals av Xiyuan Jin, Jing Wang, Lei Liu, Youfang Lin

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Digital Biomarkers for Diagnosis of Muscle Disorders Using Stimulated Muscle Contraction Signal av Kwangsub Song, Sangui Choi, Jin-Hong Shin, Woo-Hyeon Son, Hyuntae Park, Hooman Lee, Nam-Jong Paik

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Machine learning opportunities to predict obstetric haemorrhages av Yu. S. Boldina, A. A. Ivshin

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Extracting Phonetic Posterior-Based Features for Detecting Multiple Sclerosis From Speech av Gabor Gosztolya, Veronika Svindt, Judit Bona, Ildiko Hoffmann

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Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan av Vu Tran, Tomoko Matsui, Tomoko Matsui

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Artificial Intelligence Radiotherapy Planning: Automatic Segmentation of Human Organs in CT Images Based on a Modified Convolutional Neural Network av Guosheng Shen, Guosheng Shen, Guosheng Shen, Guosheng Shen, Xiaodong Jin, Xiaodong Jin, Xiaodong Jin, Xiaodong Jin, Chao Sun, Chao Sun, Chao Sun, Chao Sun, Qiang Li, Qiang Li, Qiang Li, Qiang Li

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A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging av Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang

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Hyperspectral Imaging for Non-invasive Diagnostics of Melanocytic Lesions av John Paoli, Ilkka Pölönen, Mari Salmivuori, Janne Räsänen, Oscar Zaar, Sam Polesie, Sari Koskenmies, Sari Pitkänen, Meri Övermark, Kirsi Isoherranen, Susanna Juteau, Annamari Ranki, Mari Grönroos, Noora Neittaanmäki

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Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation av Chenxi Tian, Yuliang Ma, Jared Cammon, Feng Fang, Yingchun Zhang, Ming Meng

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Deep learning-based object detection for smart solid waste management system av Meron Desta, Tagel Aboneh, Bisrat Derebssa

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Architecture of Advanced Numerical Analysis Systems Designing a Scientific Computing System using OCaml av Wang, Liang

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Improved Domain Adaptation Network Based on Wasserstein Distance for Motor Imagery EEG Classification av Qingshan She, Tie Chen, Feng Fang, Jianhai Zhang, Yunyuan Gao, Yingchun Zhang

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