Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

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Suppression of Multiple Reflection Interference Signals in GPR Images Caused by Rebar Using VAE-GAN by Chuan Li, Qibing Ma, Yawei Wang, Xi Yang, Hao Liu, Lulu Wang

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Early Detection of the Marathon Wall to Improve Pacing Strategies in Recreational Marathoners by Mohamad-Medhi El Dandachi, Veronique Billat, Florent Palacin, Vincent Vigneron

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Variational Autoencoder Based Anomaly Detection in Large-Scale Energy Storage Power Stations by Tuo Ji, Pinghu Xu, Dongliang Guo, Lei Sun, Kangji Ma, Yanan Wang, Xuebing Han

Subjects: “…VAE…”
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Ship Trajectory Prediction in Complex Waterways Based on Transformer and Social Variational Autoencoder (SocialVAE) by Pengyue Wang, Mingyang Pan, Zongying Liu, Shaoxi Li, Yuanlong Chen, Yang Wei

Subjects: “…SocialVAE…”
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Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment by Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen

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Real-Time Monitoring and Simulation of Multi-User Electricity Metering Anomaly Data Based on Distributed System by Kai Liu, Xuchao Jia, Junlong Wang, Xun Ma, Jiadong Li

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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

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Analysis of VAE-LSTM Performance in Detecting Anomalies in Average Daily Temperature Data in Jakarta 2000-2023 by INDRI RAMDANI, YENNI ANGRAINI, INDAHWATI INDAHWATI

Subjects: “…air temperature, anomaly detection, deep learning, lstm, vae…”
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Generation of Shape Models of Calcified TAVR populations for Solid Mechanics Simulations by means of Deep Learning by Oldenburg Jan, Borowski Finja, Supp Laura, Öner Alper, Schmitz Klaus-Peter, Stiehm Michael

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hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction by Giulia Cisotto, Giulia Cisotto, Alberto Zancanaro, Italo F. Zoppis, Sara L. Manzoni

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Elucidating structure-property correlations in ferroelectric Hf0.5Zr0.5O2 films using variational autoencoders by Kévin Alhada-Lahbabi, Brice Gautier, Damien Deleruyelle, Grégoire Magagnin

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Experimental study on freezing resistance of permeable concrete mixed with vinyl acetate-ethylene copolymer emulsion and basalt fiber by Wenhua Wang, Xiaojun Cheng, Jinzhong Zhu, Siyu Liu, Xiangsheng Chen

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Method for Determining Igneous Rock Mineral Content Using Element Logging Data Based on Variational AutoEncoder by JIA Ruilong, PAN Baozhi, WANG Qinghui, LI Yan, GUAN Yao, WANG Xinru

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Federated Conditional Variational Auto Encoders for Cyber Threat Intelligence: Tackling Non-IID Data in SDN Environments by Syed Hussain Ali Kazmi, Rosilah Hassan, Faizan Qamar, Kashif Nisar, Mohammed Azmi Al-Betar

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An Effective Pipeline for Training Variational Autoencoders for Synthesizable and Optimized Molecular Design by Fardeen H. Mozumder, Byung-Jun Yoon

Subjects: “…variational autoencoder (VAE)…”
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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

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Dataset Construction Using Item Response Theory for Educational Machine Learning Competitions by Takeaki Sakabe, Yuko Sakurai, Emiko Tsutsumi, Satoshi Oyama

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Bias-Aware Generative AI for fair customer segmentation: a VAE and BIRCH clustering approach by Shivranjani Bharatbhai Gajjar, Vivekanand Mishra

Subjects: “…Variational autoencoders (VAE)…”
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Monocular vision guided deep reinforcement learning UAV systems with representation learning perception by Zhihan Xue, Tad Gonsalves

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