Search Results - Relevance factor variational autoencoder

Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial bias

Authors: Jiaqing Zhang Sabyasachi Bandyopadhyay Faith Kimmet et al.

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Subject Terms: AI Fairness, Semi-supervised deep learning, Relevance factor variational autoencoder, Mini-mental state examination, Attention, Memory, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/debc7f1b53414c13b7951f793386fe4a

A vision transformer approach for fully automated and scalable dementia screening using clock drawing test images.

Authors: Bone, Michael B. Freedman, Morris Black, Sandra E. et al.

Source: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring; Jul-Sep2025, Vol. 17 Issue 3, p1-10, 10p

Subject Terms: DEMENTIA, IMAGE analysis, MEDICAL screening, DIAGNOSTIC services, DEEP learning, COGNITIVE testing, TRANSFORMER models

Loop closure detection of visual SLAM based on variational autoencoder.

Authors: Shibin Song Fengjie Yu Xiaojie Jiang et al.

Source: Frontiers in Neurorobotics; 2024, p1-13, 13p

Subject Terms: DEEP learning, IMAGE representation, HANDICRAFT

Artificial Intelligence in Endurance Sports: Metabolic, Recovery, and Nutritional Perspectives.

Authors: Grivas, Gerasimos V. Safari, Kousar

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3209. 26p.

Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection

Authors: Challu, Cristian Jiang, Peihong Wu, Ying Nian et al.

Index Terms: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2202.07586

Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands.

Authors: Bandyopadhyay, Sabyasachi Wittmayer, Jack Libon, David J. et al.

Source: Scientific Reports; 5/6/2023, Vol. 13 Issue 1, p1-12, 12p

Subject Terms: SUPERVISED learning, CLOCKS & watches, DEEP learning, AVOCADO, DEMENTIA, RECEIVER operating characteristic curves, CIRCADIAN rhythms

Sparse Regularized Autoencoders-Based Radiomics Data Augmentation for Improved EGFR Mutation Prediction in NSCLC.

Authors: Munir, Muhammad Asif Shah, Reehan Ali Waheed, Urooj et al.

Source: Future Internet; Nov2025, Vol. 17 Issue 11, p495, 23p

Subject Terms: LUNG cancer, EPIDERMAL growth factor receptors, RADIOMICS, AUTOENCODERS, MACHINE learning, ONCOLOGY, DATA augmentation

Exploring the Potential of Variational Autoencoders for Modeling Nonlinear Relationships in Psychological Data.

Authors: Milano, Nicola Casella, Monica Esposito, Raffaella et al.

Source: Behavioral Sciences (2076-328X); Jul2024, Vol. 14 Issue 7, p527, 23p

Subject Terms: ARTIFICIAL neural networks, LATENT variables, FACTOR analysis, SPACE exploration, GAUSSIAN distribution

Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization.

Authors: Chen, Chengliang Gong, Zhiqun

Source: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-19, 19p

Subject Terms: AESTHETIC judgment, FEATURE extraction, CUSTOM design, KNOWLEDGE transfer, MACHINE learning

TVAE-RNA: ensemble-based RNA secondary structure prediction via transformer variational autoencoders Open Access.

Authors: Mei, Xiyuan Liu, Hanbo Zhu, Yuheng et al.

Source: Bioinformatics; Nov2025, Vol. 41 Issue 11, p1-11, 11p

Subject Terms: RNA, TRANSFORMER models, MOLECULAR structure, PREDICTION theory, LIFE sciences, NON-coding RNA, LATENT variables, BASE pairs

Context-Aware Anomaly Detection of Pedestrian Trajectories in Urban Back Streets Using a Variational Autoencoder.

Authors: Cho, Juyeon Kang, Youngok

Source: ISPRS International Journal of Geo-Information; Nov2025, Vol. 14 Issue 11, p438, 23p

Subject Terms: DEEP learning, CONTEXTUAL analysis, VIDEO surveillance, OUTLIER detection, PUBLIC safety, LATENT variables, CLUSTER analysis (Statistics)

Enhancing Semi-Supervised Learning in Educational Data Mining Through Synthetic Data Generation Using Tabular Variational Autoencoder.

Authors: Kostopoulos, Georgios Fazakis, Nikos Kotsiantis, Sotiris et al.

Source: Algorithms; Oct2025, Vol. 18 Issue 10, p663, 35p

Subject Terms: DATA mining, DATA augmentation, METADATA, SUPERVISED learning, PROBABILISTIC generative models

MCVAE: A New Multi-Conditional Approach for Scalable Emergency Ad Hoc Network Design and Node Localization Using Generative Variational Autoencoder.

Authors: Jabbar, M. A. A. Abbas, A. R. Ghani, R. F.

Source: International Journal of Engineering Transactions C: Aspects; Jun2026, Vol. 39 Issue 6, p1390-1401, 12p

Subject Terms: AD hoc computer networks, EMERGENCY management, REAL-time computing, AUTOENCODERS, PROBABILISTIC generative models, WIRELESS communications, SCALABILITY

Variational autoencoder enhanced analysis of energy metabolism and autophagy in exercising cardiomyocytes.

Authors: Chen, Liquan Yang, Yun

Source: Experimental Biology & Medicine; 2025, p1-18, 18p

Transformer-variational autoencoder for estimating individual treatment effect using causal inference framework.

Authors: Ahmad, Sohail Wang, Hong

Source: Applied Intelligence; Aug2025, Vol. 55 Issue 12, p1-16, 16p

Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders.

Authors: Lukassen, Soeren Ten, Foo Wei Adam, Lukas et al.

Source: Nature Machine Intelligence; 2020, Vol. 2 Issue 12, p800-809, 10p

Uncovering Causal Factors Influencing Hog Prices: A Deep Granger Causality Inference Model for Multivariate Time Series Dynamics.

Authors: Lai, Xin Xu, Mingyu Ouyang, Bohan et al.

Source: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11081, 29p

Subject Terms: SWINE industry, CAUSAL inference, TIME series analysis, MARKET equilibrium, MARKET volatility, AGRICULTURAL prices, CAUSATION (Philosophy)

Geographic Terms: CHINA

Network Diffusion-Constrained Variational Generative Models for Investigating the Molecular Dynamics of Brain Connectomes Under Neurodegeneration.

Authors: Xie, Jiajia Tandon, Raghav Mitchell, Cassie S.

Source: International Journal of Molecular Sciences; Feb2025, Vol. 26 Issue 3, p1062, 24p

Subject Terms: ALZHEIMER'S disease, TIME-varying networks, AGE factors in disease, GRAY matter (Nerve tissue), ARTIFICIAL intelligence

A Variational Autoencoder Approach to Conditional Generation of Possible Future Volatility Surfaces.

Authors: Chen, Jacky Hull, John Poulos, Zissis et al.

Source: Journal of Financial Data Science; Summer2025, Vol. 7 Issue 3, p86-114, 29p

Subject Terms: LONG short-term memory, PROBABILISTIC generative models, LATENT variables, RETROSPECTIVE studies, ECONOMIC forecasting

Detecting Emerging DGA Malware in Federated Environments via Variational Autoencoder-Based Clustering and Resource-Aware Client Selection.

Authors: Duc, Ma Viet Dang, Pham Minh Phuong, Tran Thu et al.

Source: Future Internet; Jul2025, Vol. 17 Issue 7, p299, 25p

Subject Terms: MALWARE, FEDERATED learning, ANOMALY detection (Computer security), MATHEMATICAL optimization, CLUSTERING algorithms, DATA security, GENERATIVE artificial intelligence