Lossless Compression of Malaria-Infected Erythrocyte Images Using Vision Transformer and Deep Autoencoders by Md Firoz Mahmud, Zerin Nusrat, W. David Pan

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Enhanced Graph Autoencoder for Graph Anomaly Detection Using Subgraph Information by Chi Zhang, Jin-Woo Jung

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Towards Synthetic Augmentation of Training Datasets Generated by Mobility-on-Demand Service Using Deep Variational Autoencoders by Martin Gregurić, Filip Vrbanić, Edouard Ivanjko

Subjects: “…variational autoencoders…”
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Masked Convolutions Within Skip Connections for Video Anomaly Detection by Demetris Lappas, Vasileios Argyriou, Dimitrios Makris

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Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods by Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao

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A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data by Adriano Liso, Cosimo Patruno, Angelo Cardellicchio, Pierfrancesco Ardino, Nicola Gallo, Giuseppe del Prete, Valerio Dentico, Veronica Vespini, Sara Coppola, Pietro Ferraro, Vito Reno

Subjects: “…Autoencoders…”
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Population synthesis with deep generative model: a joint household-individual approach by Abdoul Razac Sané, Rachid Belaroussi, Pierre Hankach, Pierre-Olivier Vandanjon

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SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

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Advancing ALS Applications with Large-Scale Pre-Training: Framework, Dataset, and Downstream Assessment by Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim

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An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis by Hao Yan, Liangliang Shang, Wan Chen, Mengyao Jiang, Tianqi lu, Fei Li

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Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects by Awal Ahmed Fime, Saifuddin Mahmud, Arpita Das, Md. Sunzidul Islam, Jong-Hoon Kim

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PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

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A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss by Muhammad Asad, Ihsan Ullah, Muhammad Adeel Hafeez, Ganesh Sistu, Michael G. Madden

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CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification by Taeyoung Yoon, Daesung Kang

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Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

Subjects: “…double variational autoencoders…”
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Photodiagnosis with deep learning: A GAN and autoencoder-based approach for diabetic retinopathy detection by Kerem GENCER, Gülcan GENCER, Tuğçe Horozoğlu CERAN, Aynur ER BİLİR, Mustafa DOĞAN

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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

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Supervised autoencoder MLP for financial time series forecasting by Bartosz Bieganowski, Robert Ślepaczuk

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A Computational Methodology Based on Maximum Overlap Discrete Wavelet Transform and Autoencoders for Early Prediction of Sudden Cardiac Death by Manuel A. Centeno-Bautista, Andrea V. Perez-Sanchez, Juan P. Amezquita-Sanchez, David Camarena-Martinez, Martin Valtierra-Rodriguez

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SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders by Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski

Subjects: “…Masked autoencoders (MAEs)…”
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