Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation by Ahmad El Sayed, Marc Ruiz, Hassan Harb, Luis Velasco

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Structural MRI-Based Schizophrenia Classification Using Autoencoders and 3D Convolutional Neural Networks in Combination with Various Pre-Processing Techniques by Roman Vyškovský, Daniel Schwarz, Vendula Churová, Tomáš Kašpárek

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A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy by Ahmed Abdelhameed, Magdy Bayoumi

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Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion by Yang Yu, Jiantao Li, Jianchun Li, Yong Xia, Zhenghao Ding, Bijan Samali

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Efficiently Detecting Non-Stationary Opponents: A Bayesian Policy Reuse Approach under Partial Observability by Yu Wang, Ke Fu, Hao Chen, Quan Liu, Jian Huang, Zhongjie Zhang

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ECG Arrhythmia Classification based on Convolutional Autoencoders and Transfer Learning by Rasool Muayad Obaidi, Riam Abdul Sattar, Mayada Abd, Inas Amjed Almani, Tawfeeq Alghazali, Saad Ghazi Talib, Muneam Hussein Ali, Mohammed Q. Mohammed, Tuqaa Abid Mohammad, Mariam Raheem Abdul-Sahib

Subjects: “…convolutional autoencoders…”
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Fast and Efficient Image Generation Using Variational Autoencoders and K-Nearest Neighbor OveRsampling Approach by Ashhadul Islam, Samir Brahim Belhaouari

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Addendum: Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders by Rim Shayakhmetov, Maksim Kuznetsov, Alexander Zhebrak, Artur Kadurin, Sergey Nikolenko, Sergey Nikolenko, Alexander Aliper, Daniil Polykovskiy

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A computational model for potential microbe–disease association detection based on improved graph convolutional networks and multi-channel autoencoders by Chuyi Zhang, Zhen Zhang, Feng Zhang, Bin Zeng, Xin Liu, Lei Wang

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Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process by Zhiyuan Chen, Waleed Mahmoud Soliman, Amril Nazir, Mohammad Shorfuzzaman

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SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity by Casimiro A. Curbelo Montanez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani

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Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning by Jun Deng, Sascha Fruhholz, Zixing Zhang, Bjorn Schuller

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Intelligent Anomaly Detection for Large Network Traffic With Optimized Deep Clustering (ODC) Algorithm by Annie Gilda Roselin, Priyadarsi Nanda, Surya Nepal, Xiangjian He

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Fuzzy time series clustering using autoencoders neural network by Chibuike Chiedozie Ibebuchi

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Variational deep embedding-based active learning for the diagnosis of pneumonia by Jian Huang, Jian Huang, Jian Huang, Wen Ding, Wen Ding, Jiarun Zhang, Zhao Li, Ting Shu, Pekka Kuosmanen, Pekka Kuosmanen, Guanqun Zhou, Chuan Zhou, Gang Yu, Gang Yu, Gang Yu, Gang Yu

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Improved cytokine–receptor interaction prediction by exploiting the negative sample space by Abhigyan Nath, André Leier

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Deep learning application for stellar parameter determination: III-denoising procedure by Gebran Marwan, Bentley Ian, Brienza Rose, Paletou Frédéric

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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures by Khatereh Mohammadi, Ashhadul Islam, Samir Brahim Belhaouari

Subjects: “…Autoencoders…”
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Predictability of machine learning framework in cross-section data by Isik Nimet, Eskicioglu Omer Can

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Synchronization in Interpersonal Speech by Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, Björn Schuller, Björn Schuller

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