Semiautomated Classification of Peripheral Artery Disease Lesion Composition From Multicontrast Magnetic Resonance Histology at 9..4 Tesla with A Two-Dimensional Convolutional Neural Network Variational AutoEncoder Algorithm by Judit Csore, Christof Karmonik, Alan B. Lumsden, Trisha L. Roy

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Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems by Jefkine Kafunah, Priyanka Verma, Muhammad Intizar Ali, John G. Breslin

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AMS Circuit Design Optimization Technique Based on ANN Regression Model With VAE Structure by Jin-Won Hyun, Jae-Won Nam

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A Source Identification Problem in Magnetics Solved by Means of Deep Learning Methods by Sami Barmada, Paolo Di Barba, Nunzia Fontana, Maria Evelina Mognaschi, Mauro Tucci

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Data Size and Quality Matter: Generating Physically-Realistic Distance Maps of Protein Tertiary Structures by Fardina Fathmiul Alam, Amarda Shehu

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Multiscale Enhanced Sampling Using Machine Learning by Kei Moritsugu

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A Regularized Procedure to Generate a Deep Learning Model for Topology Optimization of Electromagnetic Devices by Mauro Tucci, Sami Barmada, Alessandro Formisano, Dimitri Thomopulos

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Integration of scRNA-seq data by disentangled representation learning with condition domain adaptation by Renjing Liu, Kun Qian, Xinwei He, Hongwei Li

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Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial Network by Burkni Palsson, Magnus O. Ulfarsson, Johannes R. Sveinsson

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Enhancing Variational Generation Through Self-Decomposition by Andrea Asperti, Laura Bugo, Daniele Filippini

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Unsupervised video anomaly detection in UAVs: a new approach based on learning and inference by Gang Liu, Lisheng Shu, Yuhui Yang, Chen Jin, Chen Jin

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scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles by Biqing Zhu, Yuge Wang, Li-Ting Ku, David van Dijk, Le Zhang, David A. Hafler, Hongyu Zhao

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Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data by Shreejit Jadhav, Mihir Shrivastava, Sanjit Mitra

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Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification by Erdenebileg Batbaatar, Kwang Ho Park, Tsatsral Amarbayasgalan, Khishigsuren Davagdorj, Lkhagvadorj Munkhdalai, Van-Huy Pham, Keun Ho Ryu

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Improving Facial Emotion Recognition Using Residual Autoencoder Coupled Affinity Based Overlapping Reduction by Sankhadeep Chatterjee, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi

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Learning Performance Efficiency of College Basketball Players Using TVAE by Nasim Yahyasoltani, Priyanka Annapureddy, Manzur Farazi

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Generative model‐enhanced human motion prediction by Anthony Bourached, Ryan‐Rhys Griffiths, Robert Gray, Ashwani Jha, Parashkev Nachev

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Toward Automatically Labeling Situations in Soccer by Dennis Fassmeyer, Gabriel Anzer, Gabriel Anzer, Pascal Bauer, Pascal Bauer, Ulf Brefeld

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Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning by Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao

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Deep Learning for Identifying Promising Drug Candidates in Drug–Phospholipid Complexes by Soyoung Yoo, Hanbyul Lee, Junghyun Kim

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