ATLO-ML: Adaptive Time-Length Optimizer for Machine Learning -- Insights from Air Quality Forecasting
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Kao, I-Hsi, Uchino, Kanji |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
par: Wu, Binqing, et autres
Publié: (2026)
par: Wu, Binqing, et autres
Publié: (2026)
Beyond the Hype: Comparing Lightweight and Deep Learning Models for Air Quality Forecasting
par: Gondal, Moazzam Umer, et autres
Publié: (2025)
par: Gondal, Moazzam Umer, et autres
Publié: (2025)
EmissionNet: Air Quality Pollution Forecasting for Agriculture
par: Saligram, Prady, et autres
Publié: (2025)
par: Saligram, Prady, et autres
Publié: (2025)
A Comparative Study of Machine Learning Models for Hourly Forecasting of Air Temperature and Relative Humidity
par: Dong, Jiaqi
Publié: (2026)
par: Dong, Jiaqi
Publié: (2026)
Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
par: Gondal, Moazzam Umer, et autres
Publié: (2026)
par: Gondal, Moazzam Umer, et autres
Publié: (2026)
PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints
par: Wang, Shuo, et autres
Publié: (2025)
par: Wang, Shuo, et autres
Publié: (2025)
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence
par: Shaik, Thanveer, et autres
Publié: (2023)
par: Shaik, Thanveer, et autres
Publié: (2023)
Data Pipeline Training: Integrating AutoML to Optimize the Data Flow of Machine Learning Models
par: Wu, Jiang, et autres
Publié: (2024)
par: Wu, Jiang, et autres
Publié: (2024)
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting
par: Lu, Junxin, et autres
Publié: (2025)
par: Lu, Junxin, et autres
Publié: (2025)
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
par: Lee, Jaehoon, et autres
Publié: (2026)
par: Lee, Jaehoon, et autres
Publié: (2026)
Adaptive Information Routing for Multimodal Time Series Forecasting
par: Seo, Jun, et autres
Publié: (2025)
par: Seo, Jun, et autres
Publié: (2025)
StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
par: Kim, Yubin, et autres
Publié: (2026)
par: Kim, Yubin, et autres
Publié: (2026)
Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
par: Hu, Yuxiao, et autres
Publié: (2023)
par: Hu, Yuxiao, et autres
Publié: (2023)
LETS Forecast: Learning Embedology for Time Series Forecasting
par: Majeedi, Abrar, et autres
Publié: (2025)
par: Majeedi, Abrar, et autres
Publié: (2025)
Predicting Air Temperature from Volumetric Urban Morphology with Machine Learning
par: Kıvılcım, Berk, et autres
Publié: (2025)
par: Kıvılcım, Berk, et autres
Publié: (2025)
Machine Learning for Everyone: Simplifying Healthcare Analytics with BigQuery ML
par: Salari, Mohammad Amir, et autres
Publié: (2025)
par: Salari, Mohammad Amir, et autres
Publié: (2025)
Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
par: Wang, Dan, et autres
Publié: (2025)
par: Wang, Dan, et autres
Publié: (2025)
Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
par: Luo, Yuchen, et autres
Publié: (2025)
par: Luo, Yuchen, et autres
Publié: (2025)
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
par: Ye, Weiwei, et autres
Publié: (2024)
par: Ye, Weiwei, et autres
Publié: (2024)
Test Time Learning for Time Series Forecasting
par: Christou, Panayiotis, et autres
Publié: (2024)
par: Christou, Panayiotis, et autres
Publié: (2024)
AROpt: An Optimization Method for Autoregressive Time Series Forecasting
par: Li, Zheng, et autres
Publié: (2026)
par: Li, Zheng, et autres
Publié: (2026)
Adaptive Overclocking: Dynamic Control of Thinking Path Length via Real-Time Reasoning Signals
par: Jiang, Shuhao, et autres
Publié: (2025)
par: Jiang, Shuhao, et autres
Publié: (2025)
TimeAPN: Adaptive Amplitude-Phase Non-Stationarity Normalization for Time Series Forecasting
par: Hu, Yue, et autres
Publié: (2026)
par: Hu, Yue, et autres
Publié: (2026)
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
par: Zhang, Jintao, et autres
Publié: (2026)
par: Zhang, Jintao, et autres
Publié: (2026)
Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning
par: Xiang, Violet, et autres
Publié: (2025)
par: Xiang, Violet, et autres
Publié: (2025)
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting
par: Jakobs, Matthias, et autres
Publié: (2024)
par: Jakobs, Matthias, et autres
Publié: (2024)
ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting
par: Li, Qianyang, et autres
Publié: (2026)
par: Li, Qianyang, et autres
Publié: (2026)
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
par: Deutel, Mark, et autres
Publié: (2023)
par: Deutel, Mark, et autres
Publié: (2023)
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
par: Wang, Qiongyan, et autres
Publié: (2025)
par: Wang, Qiongyan, et autres
Publié: (2025)
Optimizing ML Training with Metagradient Descent
par: Engstrom, Logan, et autres
Publié: (2025)
par: Engstrom, Logan, et autres
Publié: (2025)
Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates
par: Doerksen, Kelsey, et autres
Publié: (2025)
par: Doerksen, Kelsey, et autres
Publié: (2025)
AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data
par: Francia, Riccardo, et autres
Publié: (2025)
par: Francia, Riccardo, et autres
Publié: (2025)
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
par: Liu, Zhining, et autres
Publié: (2025)
par: Liu, Zhining, et autres
Publié: (2025)
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting
par: Ouyang, Pengpeng, et autres
Publié: (2025)
par: Ouyang, Pengpeng, et autres
Publié: (2025)
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
par: Li, Zhixuan, et autres
Publié: (2025)
par: Li, Zhixuan, et autres
Publié: (2025)
LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling
par: Pan, Sheng, et autres
Publié: (2026)
par: Pan, Sheng, et autres
Publié: (2026)
Graph Deep Learning for Time Series Forecasting
par: Cini, Andrea, et autres
Publié: (2023)
par: Cini, Andrea, et autres
Publié: (2023)
Continuous-Time Analysis of Adaptive Optimization and Normalization
par: Gould, Rhys, et autres
Publié: (2024)
par: Gould, Rhys, et autres
Publié: (2024)
Interpreting Time Series Forecasts with LIME and SHAP: A Case Study on the Air Passengers Dataset
par: Shukla, Manish
Publié: (2025)
par: Shukla, Manish
Publié: (2025)
Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
par: Wilhelm, Patrick, et autres
Publié: (2026)
par: Wilhelm, Patrick, et autres
Publié: (2026)
Documents similaires
-
AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
par: Wu, Binqing, et autres
Publié: (2026) -
Beyond the Hype: Comparing Lightweight and Deep Learning Models for Air Quality Forecasting
par: Gondal, Moazzam Umer, et autres
Publié: (2025) -
EmissionNet: Air Quality Pollution Forecasting for Agriculture
par: Saligram, Prady, et autres
Publié: (2025) -
A Comparative Study of Machine Learning Models for Hourly Forecasting of Air Temperature and Relative Humidity
par: Dong, Jiaqi
Publié: (2026) -
Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
par: Gondal, Moazzam Umer, et autres
Publié: (2026)