Articles

Graph-informed convolutional autoencoder to classify brain responses during sleep

in Sleep and Circadian Rhythms

• Sahar Zakeri
• Somayeh Makouei
• Sebelan Danishvar

Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit

in Medicine and Public Health

• Yuanda Zhu
• Janani Venugopalan
• Zhenyu Zhang
• Nikhil K. Chanani
• Kevin O. Maher
• May D. Wang

Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder

• Yanling An
• Shaohai Hu
• Xiaoying Duan
• Ling Zhao
• Caiyun Xie
• Yingying Zhao

Construction Method of the Distribution Transform Load Feature Database Based on Deep Convolutional Autoencoder

in Process and Energy Systems Engineering

• Bin Xu
• Yuan Gao
• Jun Liu
• Yang Lu
• Yifeng Yang
• Feng Xu
• Xiaoqing Xu

Convolutional autoencoder joint boundary and mask adversarial learning for fundus image segmentation

in Brain Imaging and Stimulation

• Xu Zhang
• Jiaqi Song
• Chengrui Wang
• Zhen Zhou

Predicting beam transmission using 2-dimensional phase space projections of hadron accelerators

in Interdisciplinary Physics

• Anthony Tran
• Yue Hao
• Brahim Mustapha
• Jose L. Martinez Marin

Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition

in Geohazards and Georisks

• Nana Han
• Wending Miao
• Mingzhi Li
• Mohd Ashraf Mohamad Ismail
• Qiang Hu
• Liyuan Duan
• Jintao Tang

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data

• Di Gao
• Guanghao Yang
• Jiarun Shen
• Fang Wu
• Chao Ji

CAEM-GBDT: a cancer subtype identifying method using multi-omics data and convolutional autoencoder network

in Integrative Bioinformatics

• Jiquan Shen
• Xuanhui Guo
• Hanwen Bai
• Junwei Luo

Detection of Anomalous Grapevine Berries Using Variational Autoencoders

in Technical Advances in Plant Science

• Miro Miranda
• Laura Zabawa
• Anna Kicherer
• Laurenz Strothmann
• Uwe Rascher
• Ribana Roscher

Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks

• Ryoichi Nakajo
• Shingo Murata
• Hiroaki Arie
• Tetsuya Ogata

Real-time temperature anomaly detection in vaccine refrigeration systems using deep learning on a resource-constrained microcontroller

in Medicine and Public Health

• Mokhtar Harrabi
• Abdelaziz Hamdi
• Bouraoui Ouni
• Jamel Bel Hadj Tahar

3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network

• Philippe Boutinaud
• Ami Tsuchida
• Alexandre Laurent
• Filipa Adonias
• Zahra Hanifehlou
• Victor Nozais
• Violaine Verrecchia
• Leonie Lampe
• Junyi Zhang
• Yi-Cheng Zhu

PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning

in Technical Advances in Plant Science

• Punam Bedi
• Pushkar Gole
• Sudeep Marwaha

Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets

in Brain Imaging Methods

• Hiroyuki Yamaguchi
• Yuki Hashimoto
• Genichi Sugihara
• Jun Miyata
• Toshiya Murai
• Hidehiko Takahashi
• Manabu Honda
• Akitoyo Hishimoto
• Yuichi Yamashita

Extending the Capabilities of Data-Driven Reduced-Order Models to Make Predictions for Unseen Scenarios: Applied to Flow Around Buildings

in Statistical and Computational Physics

• Claire E. Heaney
• Xiangqi Liu
• Hanna Go
• Zef Wolffs
• Pablo Salinas
• Ionel M. Navon
• Christopher C. Pain