GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery

Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic Forecasting

(2022) Yi Wang et al.   ISPRS International Journal of Geo-Information

Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues

(2021) Khac-Hoai Nam Bui et al.   APPLIED INTELLIGENCE

Outdoor PM2.5 concentration and rate of change in COVID-19 infection in provincial capital cities in China

(2021) Yang Han et al.   Scientific Reports

Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network

(2021) Yangwen Yu et al.   IEEE Transactions on Big Data

Global Spatial-Temporal Graph Convolutional Network for Urban Traffic Speed Prediction

(2020) Liang Ge et al.   Applied Sciences-Basel

Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series

(2020) Jun Ma et al.   ADVANCED ENGINEERING INFORMATICS

A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data

(2020) Jun Ma et al.   ENERGY AND BUILDINGS

Missing data imputation with adversarially-trained graph convolutional networks

(2020) Indro Spinelli et al.   NEURAL NETWORKS

Effects of China’s current Air Pollution Prevention and Control Action Plan on air pollution patterns, health risks and mortalities in Beijing 2014–2018

(2020) Kamal Jyoti Maji et al.   CHEMOSPHERE

A Bayesian LSTM model to evaluate the effects of air pollution control regulations in Beijing, China

(2020) Yang Han et al.   ENVIRONMENTAL SCIENCE & POLICY

The Effects of Air Pollution on COVID-19 Infection and Mortality—A Review on Recent Evidence

(2020) Nurshad Ali et al.   Frontiers in Public Health

How BLUE is the Sky? Estimating air qualities in Beijing during the Blue Sky Day period (2008–2012) by Bayesian Multi-task LSTM

(2020) Yang Han et al.   ENVIRONMENTAL SCIENCE & POLICY

Deep Learning on Graphs: A Survey

(2020) Ziwei Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder

(2020) Yangwen Yu et al.   IEEE Transactions on Big Data

A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast

(2020) Yang Han et al.   IEEE Transactions on Big Data

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

(2019) Yanlin Qi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

SSIM—A Deep Learning Approach for Recovering Missing Time Series Sensor Data

(2019) Yi-Fan Zhang et al.   IEEE Internet of Things Journal

Building segmentation through a gated graph convolutional neural network with deep structured feature embedding

(2019) Yilei Shi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Correlation Coefficients

(2018) Patrick Schober et al.   ANESTHESIA AND ANALGESIA

Air pollution and environmental injustice: Are the socially deprived exposed to more PM 2.5 pollution in Hong Kong?

(2018) Victor OK Li et al.   ENVIRONMENTAL SCIENCE & POLICY

Diverse Region-Based CNN for Hyperspectral Image Classification

(2018) Mengmeng Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications

(2018) HongYun Cai et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A novel k NN algorithm with data-driven k parameter computation

(2018) Shichao Zhang et al.   PATTERN RECOGNITION LETTERS

Spatio-Temporal Data Mining

(2018) Gowtham Atluri et al.   ACM COMPUTING SURVEYS

Use of networks of low cost air quality sensors to quantify air quality in urban settings

(2018) Olalekan A.M. Popoola et al.   ATMOSPHERIC ENVIRONMENT

To identify what is not there: A definition of missingness patterns and evaluation of missing value visualization

(2018) Sara Johansson Fernstad   Information Visualization

CNN and RNN based payload classification methods for attack detection

(2018) Hongyu Liu et al.   KNOWLEDGE-BASED SYSTEMS

Visplause: Visual Data Quality Assessment of Many Time Series Using Plausibility Checks

(2017) Clemens Arbesser et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Deep Learning in Medical Imaging: General Overview

(2017) June-Goo Lee et al.   KOREAN JOURNAL OF RADIOLOGY

Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015

(2017) Aaron J Cohen et al.   LANCET

Living near major roads and the incidence of dementia, Parkinson's disease, and multiple sclerosis: a population-based cohort study

(2017) Hong Chen et al.   LANCET

Missing Data Recovery by Exploiting Low-Dimensionality in Power System Synchrophasor Measurements

(2016) Pengzhi Gao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Logistic Regression

(2016) Juliana Tolles et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Association between exposure to ambient particulate matter and chronic obstructive pulmonary disease: results from a cross-sectional study in China

(2016) Sha Liu et al.   THORAX

Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001–2012 in Beijing

(2014) Guangjin Tian et al.   ENVIRONMENTAL POLLUTION

Urban green space, public health, and environmental justice: The challenge of making cities ‘just green enough’

(2014) Jennifer R. Wolch et al.   LANDSCAPE AND URBAN PLANNING

Season and humidity dependence of the effects of air pollution on COPD hospitalizations in Hong Kong

(2012) Hong Qiu et al.   ATMOSPHERIC ENVIRONMENT

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Air pollution in mega cities in China

(2007) Chak K. Chan et al.   ATMOSPHERIC ENVIRONMENT