Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Deep Air : Forecasting Air Pollution in Beijing , China
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality
Applying machine learning techniques on air quality data for real-time decision support
Deriving high-resolution urban air pollution maps using mobile sensor nodes
The Changing Paradigm of Air Pollution Monitoring
High Resolution Air Pollution Maps in Urban Environments Using Mobile Sensor Networks
Towards Air Quality Estimation Using Collected Multimodal Environmental Data
Estimate air quality based on mobile crowe sensing and big data
Outdoor air pollution: a global perspective.
Air Quality Index Prediction using K-Nearest Neighbor Technique
Estimating Regional Spatial and Temporal Variability of PM2.5 Concentrations Using Satellite Data, Meteorology, and Land Use Information
An implementation of cloud-based platform with R packages for spatiotemporal analysis of air pollution
Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health
AQNet: Fine-grained 3D spatio-temporal air quality monitoring by aerial-ground WSN
The rise of low-cost sensing for managing air pollution in cities
Identification of regional atmospheric PM10 transport pathways using HYSPLIT, MM5-CMAQ and synoptic pressure pattern analysis
Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China
A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality
Using geosocial search for urban air pollution monitoring
Real-time air quality monitoring through mobile sensing in metropolitan areas
Satellite remote sensing of surface air quality
tropane alkaloids as medicinally useful natural products and their synthetic derivatives as new drugs .
Feature selection, L1 vs. L2 regularization, and rotational invariance
Text Visualization for Visual Text Analytics
Empirical Bayes Gibbs sampling
Hierarchical Imitation and Reinforcement Learning