Search Results - "Tabular Variational Autoencoder"

CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data: CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data by Wang, Alex X., Le, Minh Quang, Duong, Huu-Thanh, Van, Bay Nguyen, Nguyen, Binh P.

“… while neglecting the relationships with the majority class. To overcome these limitations, we propose the Contrastive Tabular Variational Autoencoder (CTVAE…”
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Explainable hybrid tabular Variational Autoencoder and feature Tokenizer Transformer for depression prediction by Quang Tran, Vinh, Byeon, Haewon

“… and numerical features, alongside synthetic data generated by the tabular variational autoencoder (TVAE…”
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DPTVAE: Data-driven prior-based tabular variational autoencoder for credit data synthesizing by Tan, Yandan, Zhu, Hongbin, Wu, Jie, Chai, Hongfeng

“…•Data-driven prior-based tabular variational autoencoder (DPTVAE) for end-to-end synthesizing credit data…”
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Prognosticating fabric-reinforced cementitious matrix-to-masonry bond and failure mechanisms using novel tabular variational autoencoder-augmented probabilistic model by Kumar, Aman, Marani, Afshin, Abbas, Asim, Nehdi, Moncef L.

“… Therefore, in this study, a tabular variational autoencoder model was implemented to synthetically augment the experimental database to capture…”
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Enhancing Semi-Supervised Learning in Educational Data Mining Through Synthetic Data Generation Using Tabular Variational Autoencoder by Kostopoulos, Georgios, Fazakis, Nikos, Kotsiantis, Sotiris, Dimakopoulos, Yiannis

“…This paper presents TVAE-SSL, a novel semi-supervised learning (SSL) paradigm that involves Tabular Variational Autoencoder (TVAE…”
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Landslide Susceptibility Assessment via Imbalanced Data Augmentation with Tabular Variational Autoencoder and Quality–Diversity Post-Selection by Xu, Zhengyang, Wang, Shitai, Yin, Min, Zhang, Xiaoyu, Lu, Zengyang, Yu, Songchao, Huang, Junjun

“… To address this issue, this study constructed a multi-factor landslide database and employed a Tabular Variational Autoencoder (TVAE…”
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Prediction of ultimate bearing capacity for rubberized concrete filled steel tube columns based on Tabular Variational Autoencoder method and Stacking ensemble strategy by Song, Zongming, Zhang, Chao, Lu, Yiyan

“… This framework integrates an advanced Tabular Variational Autoencoder (TVAE) data augmentation method and a Stacking ensemble strategy…”
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Enhancing DNS-over-HTTPS Traffic Classification in Heterogeneous Networks Through Latent Space Analysis with a Tabular-Variational Autoencoder and Self-Attention Classifier Model by Veerabhadrappa, Ravi, Sampigerayappa, Poornima Athikatte

“… In this research study, we present a novel detection approach of these DNS patterns through low-dimensional latent representations extracted via a Tabular-Variational AutoEncoder (Tab-VAE…”
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Innovations in early detection of chronic non-communicable diseases among adolescents through an easy-to-Use AutoML paradigm by Rankovic, Nevena, Rankovic, Dragica, Lukic, Igor

“… To counter these issues, we utilized three AutoML frameworks - AutoGluon, H2O, and MLJAR - in conjunction with a Tabular Variational Autoencoder (TVAE…”
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Enhanced classification of hydraulic testing of directional control valves with synthetic data generation by Neunzig, Christian, Möllensiep, Dennis, Hartmann, Melanie, Kuhlenkötter, Bernd, Möller, Matthias, Schulz, Jürgen

“…Production environments bring inherent system challenges that are reflected in the high-dimensional production data. The data is often nonstationary, is not…”
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Tabular generative modeling framework for multi-property data synthesis of pyrolyzed biochar by Yang, Yang, Li, Weishuai, Huang, Jingang, Wang, Ruilin, Han, Wei, Zhou, Rongbing, Qiu, Shanshan, Xu, Xiaobin

“… (CTGAN), Tabular Variational Autoencoder (TVAE), and statistical Synthpop, were developed to predict biochar properties using MultipleMICE- and MissForest…”
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A synthetic data-driven machine learning approach for athlete performance attenuation prediction by Cordeiro, Mauricio C., Cathain, Ciaran O., Daly, Lorcan, Kelly, David T., Rodrigues, Thiago B.

“… This study extends previous research by evaluating Tabular Variational Autoencoders (TVAE) for generating synthetic data to predict performance attenuation in Gaelic football athletes…”
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A framework to create, evaluate and select synthetic datasets for survival prediction in oncology by Christoforou, A.T., Spohn, S.K.B., Sprave, T., Fechter, T., Rühle, A., Nicolay, N.H., Popp, I., Grosu, A.L., Peeken, J.C., Thieme, A.H., Stylianopoulos, T., Strouthos, I., Ferentinos, K., Roussakis, Y., Zamboglou, C.

“…Data-driven decision-making in radiation oncology (RO) relies on integrating real-world data effectively. Synthetic data (SD), generated through machine…”
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Enhanced Conditional GAN for High-Quality Synthetic Tabular Data Generation in Mobile-Based Cardiovascular Healthcare by Alqulaity, Malak, Yang, Po

“…The generation of synthetic tabular data has emerged as a critical task in various fields, particularly in healthcare, where data privacy concerns limit the…”
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Artificial Intelligence Generated Synthetic Datasets as the Remedy for Data Scarcity in Water Quality Index Estimation by Chia, Min Yan, Koo, Chai Hoon, Huang, Yuk Feng, Di Chan, Wei, Pang, Jia Yin

“…Water quality index (WQI) has been utilised in many countries and regions as a numeric representation of the condition of water resources. However, the…”
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Learning Performance Efficiency of College Basketball Players Using TVAE by Yahyasoltani, Nasim, Annapureddy, Priyanka, Farazi, Manzur

“…Monitoring workload is essential to evaluate possibility of fatigue or injuries and overall performance of the players. Large player's workload in any game…”
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Trigonometric-Euclidean-Smoother Interpolator (TESI) for continuous time-series and non-time-series data augmentation for deep neural network applications in agriculture by Derraz, Radhwane, Muharam, Farrah Melissa, Jaafar, Noraini Ahmad, Yap, Ng Keng

“…•A new method is proposed for data augmentation for deep neural network use.•The method uses a trigonometric-Euclidian space to generate the new data…”
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Physics-informed neural networks enhanced by data augmentation: a novel framework for robust soil moisture estimation using multi-source data fusion by Hu, Jinhui, Deng, Changtao, Zhang, Qiuwen, Pang, Aoxuan

“…•Novel PINN + TVAE framework proposed for robust soil moisture estimation.•Physics (WCM, Oh) integrated into end-to-end differentiable PINN structure.•TVAE…”
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Predicting Spoilage Intensity Level in Sausage Products Using Explainable Machine Learning and GAN-Based Data Augmentation by Ince, Volkan, Bader-El-Den, Mohamed, Esmeli, Ramazan, Maurya, Lalit, Sari, Omer Faruk

“… To overcome limitations caused by small datasets, we applied synthetic data augmentation using a tabular variational autoencoder (TVAE…”
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Advancing LightGBM with data augmentation for predicting the residual strength of corroded pipelines by Wang, Qiankun, Lu, Hongfang, Li, Fan, Cheng, Y. Frank

“…—Tabular Variational Autoencoder (TVAE), Copula Generative Adversarial Network (CopulaGAN), and conditional tabular generative adversarial network…”
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