Air Pollution Prediction

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (14 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Multi-task Learning for Aggregated Data using Gaussian Processes
  22 Jun 2019 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Our model represents each task as the linear combination of the realizations of latent processes that are integrated at a different scale per task.
• Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction
  1 Mar 2023 1 repository listed
  The prediction results of deep learning algorithms are compared with default hyperparameters and random search algorithms to confirm the efficacy of the genetic algorithm approach.
• Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner
  9 Mar 2022 1 repository listed
  Then, we construct a temporal support vector regressor (TSVR), which puts more emphasis on the adjacent samples by considering the fact that the crowd usually flows promptly and disorderly in mass rallies.
• PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability
  31 Dec 2021 1 repository listed
  In this paper we introduce a new problem within the growing literature of interpretability for convolution neural networks (CNNs).
• Deciphering Environmental Air Pollution with Large Scale City Data
  9 Sep 2021 1 repository listed
  Air pollution poses a serious threat to sustainable environmental conditions in the 21st century.
• MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution Prediction
  12 Sep 2019 1 repository listed
  We further present a novel deep convolutional neural network model, named Multi-Scale Spatial Temporal Network (MSSTN), for the learning task on this data structure.
• Real-time Air Pollution prediction model based on Spatiotemporal Big data
  5 Apr 2018 1 repository listed
  In this paper, based on this spatiotemporal Big data, we propose a real-time air pollution prediction model based on Convolutional Neural Network (CNN) algorithm for image-like Spatial distribution of air pollution.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.