scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles by Biqing Zhu, Yuge Wang, Li-Ting Ku, David van Dijk, Le Zhang, David A. Hafler, Hongyu Zhao

Subjects: Get full text

Variational autoencoder-enhanced deep neural network-based detection for MIMO systems by Gevira Omondi, Thomas O. Olwal

Subjects: Get full text

Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data by Shreejit Jadhav, Mihir Shrivastava, Sanjit Mitra

Subjects: Get full text

Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification by Erdenebileg Batbaatar, Kwang Ho Park, Tsatsral Amarbayasgalan, Khishigsuren Davagdorj, Lkhagvadorj Munkhdalai, Van-Huy Pham, Keun Ho Ryu

Subjects: Get full text

Towards effective neural topic modeling by Wu, Xiaobao

Subjects: Get full text

Conf-GEM: A geometric information-assisted direct conformation generation model by Zhijiang Yang, Youjun Xu, Li Pan, Tengxin Huang, Yunfan Wang, Junjie Ding, Liangliang Wang, Junhua Xiao

Subjects: Get full text

Deep Learning for Identifying Promising Drug Candidates in Drug–Phospholipid Complexes by Soyoung Yoo, Hanbyul Lee, Junghyun Kim

Subjects: Get full text

From Single Shot to Structure: End-to-End Network-Based Deflectometry for Specular Free-Form Surface Reconstruction by M.Hadi Sepanj, Saed Moradi, Amir Nazemi, Claire Preston, Anthony M. D. Lee, Paul Fieguth

Subjects: Get full text

Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN) by Bilal Ahmad, Sun Jun, Vasile Palade, Qi You, Li Mao, Mao Zhongjie

Subjects: “…variational autoencoder…”
Get full text

Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

Subjects: Get full text

An Explainable Deep Learning-Based Method for Schizophrenia Diagnosis Using Generative Data-Augmentation by Mehrshad Saadatinia, Armin Salimi-Badr

Subjects: Get full text

Hyperspectral Unmixing With Multi-Scale Convolution Attention Network by Sheng Hu, Huali Li

Subjects: Get full text

Detection of Health Data Based on Gaussian Mixture Generative Model by ZHU Zhuangzhuang, ZHOU Zhiping

Subjects: “…|variational autoencoder (vae)|deep brief network (dbn)|gaussian mixture model (gmm)|health data|anomaly detection…”
Get full text

A deep clustering framework integrating pairwise constraints and a VMF mixture model by He Ma, Weipeng Wu

Subjects: Get full text

Deep generative modelling of aircraft trajectories in terminal maneuvering areas by Timothé Krauth, Adrien Lafage, Jérôme Morio, Xavier Olive, Manuel Waltert

Subjects: Get full text

Unsupervised Seismic Facies Deep Clustering Via Lognormal Mixture-Based Variational Autoencoder by Haowei Hua, Feng Qian, Gulan Zhang, Yuehua Yue

Subjects: “…lognormal mixture-based variational autoencoder (LMVAE)…”
Get full text

DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

Subjects: Get full text

Multi-Label Zero-Shot Learning With Adversarial and Variational Techniques by Muqaddas Gull, Omar Arif

Subjects: “…Conditional variational autoencoder…”
Get full text

An Efficient Prediction Method for Coronary Heart Disease Risk Based on Two Deep Neural Networks Trained on Well-Ordered Training Datasets by Tsatsral Amarbayasgalan, Van-Huy Pham, Nipon Theera-Umpon, Yongjun Piao, Keun Ho Ryu

Subjects: Get full text

Long-term prediction of safety parameters with uncertainty estimation in emergency situations at nuclear power plants by Hyojin Kim, Jonghyun Kim

Subjects: Get full text