Saved in:
| Main Authors: | Chang, Shengjia, Yue, Xianshuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.11269 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
by: Nguyen, Thanh Son, et al.
Published: (2025)
by: Nguyen, Thanh Son, et al.
Published: (2025)
Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
by: Xing, Yiluan, et al.
Published: (2024)
by: Xing, Yiluan, et al.
Published: (2024)
From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
by: Veluru, Suhasnadh Reddy, et al.
Published: (2026)
by: Veluru, Suhasnadh Reddy, et al.
Published: (2026)
Optimization of Energy Consumption Forecasting in Puno using Parallel Computing and ARIMA Models: An Innovative Approach to Big Data Processing
by: Vilca-Tinta, Cliver W., et al.
Published: (2024)
by: Vilca-Tinta, Cliver W., et al.
Published: (2024)
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
by: Li, Chaojian, et al.
Published: (2021)
by: Li, Chaojian, et al.
Published: (2021)
Using ARIMA to Predict the Expansion of Subscriber Data Consumption
by: Nkongolo, Mike Wa
Published: (2024)
by: Nkongolo, Mike Wa
Published: (2024)
Traffic flow forecasting, STL decomposition, Hybrid model, LSTM, ARIMA, XGBoost, Intelligent transportation systems
by: Yuan, Fujiang, et al.
Published: (2025)
by: Yuan, Fujiang, et al.
Published: (2025)
Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach
by: Gond, Bishwajit Prasad
Published: (2025)
by: Gond, Bishwajit Prasad
Published: (2025)
Searching on a Budget: HW-NAS with 10 Latency Probes
by: Capuano, Francesco, et al.
Published: (2025)
by: Capuano, Francesco, et al.
Published: (2025)
ARIMA_PLUS: Large-scale, Accurate, Automatic and Interpretable In-Database Time Series Forecasting and Anomaly Detection in Google BigQuery
by: Cheng, Xi, et al.
Published: (2025)
by: Cheng, Xi, et al.
Published: (2025)
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
by: Ni, Haowei, et al.
Published: (2024)
by: Ni, Haowei, et al.
Published: (2024)
Great GATsBi: Hybrid, Multimodal, Trajectory Forecasting for Bicycles using Anticipation Mechanism
by: Riehl, Kevin, et al.
Published: (2025)
by: Riehl, Kevin, et al.
Published: (2025)
Comparative Study of ARIMA and Deep Learning for NDVI Forecasting Using Landsat 8 Data
by: Vidya Mohanty, et al.
Published: (2025)
by: Vidya Mohanty, et al.
Published: (2025)
Forecasting Mortality in the Middle-Aged and Older Population of England: A 1D-CNN Approach
by: Qazvini, Marjan
Published: (2024)
by: Qazvini, Marjan
Published: (2024)
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
by: Wang, Yuping, et al.
Published: (2023)
by: Wang, Yuping, et al.
Published: (2023)
A Bipartite Graph Approach to U.S.-China Cross-Market Return Forecasting
by: Liu, Jing, et al.
Published: (2026)
by: Liu, Jing, et al.
Published: (2026)
Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization
by: Nadia, Nusrat Yasmin, et al.
Published: (2026)
by: Nadia, Nusrat Yasmin, et al.
Published: (2026)
Improving accuracy in short mortality rate series: Exploring Multi-step Forecasting Approaches in Hybrid Systems
by: Duarte, Filipe C. L., et al.
Published: (2025)
by: Duarte, Filipe C. L., et al.
Published: (2025)
CrossRF: A Domain-Invariant Deep Learning Approach for RF Fingerprinting
by: Tiras, Fahrettin Emin, et al.
Published: (2025)
by: Tiras, Fahrettin Emin, et al.
Published: (2025)
Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting
by: Jiang, Qian, et al.
Published: (2026)
by: Jiang, Qian, et al.
Published: (2026)
Learning Neural PDE Solvers with Convergence Guarantees
by: Hsieh, Jun-Ting, et al.
Published: (2019)
by: Hsieh, Jun-Ting, et al.
Published: (2019)
Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety
by: Mangalik, Siddharth, et al.
Published: (2025)
by: Mangalik, Siddharth, et al.
Published: (2025)
POCO: Scalable Neural Forecasting through Population Conditioning
by: Duan, Yu, et al.
Published: (2025)
by: Duan, Yu, et al.
Published: (2025)
L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)
by: Zhang, Fan, et al.
Published: (2026)
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays
by: Risso, Matteo, et al.
Published: (2024)
by: Risso, Matteo, et al.
Published: (2024)
ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
by: Chang, Yurui, et al.
Published: (2026)
by: Chang, Yurui, et al.
Published: (2026)
How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting
by: Su, Yiqi, et al.
Published: (2026)
by: Su, Yiqi, et al.
Published: (2026)
Marine Chlorophyll Prediction and Driver Analysis based on LSTM-RF Hybrid Models
by: Qian, Zhouyao, et al.
Published: (2025)
by: Qian, Zhouyao, et al.
Published: (2025)
Sample-Efficient Safety Assurances using Conformal Prediction
by: Luo, Rachel, et al.
Published: (2021)
by: Luo, Rachel, et al.
Published: (2021)
The PetShop Dataset -- Finding Causes of Performance Issues across Microservices
by: Hardt, Michaela, et al.
Published: (2023)
by: Hardt, Michaela, et al.
Published: (2023)
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset
by: Hao, Qi, et al.
Published: (2024)
by: Hao, Qi, et al.
Published: (2024)
Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting
by: Qiu, Yunzhong, et al.
Published: (2026)
by: Qiu, Yunzhong, et al.
Published: (2026)
A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference
by: Liu, Haojie, et al.
Published: (2025)
by: Liu, Haojie, et al.
Published: (2025)
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence
by: Tan, Zheng, et al.
Published: (2025)
by: Tan, Zheng, et al.
Published: (2025)
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach
by: Liu, Shun, et al.
Published: (2023)
by: Liu, Shun, et al.
Published: (2023)
Learning to Drive Safely with Hybrid Options
by: De Cooman, Bram, et al.
Published: (2025)
by: De Cooman, Bram, et al.
Published: (2025)
Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
by: Singh, Navneet, et al.
Published: (2025)
by: Singh, Navneet, et al.
Published: (2025)
Learning Minimally-Congested Drive Times from Sparse Open Networks: A Lightweight RF-Based Estimator for Urban Roadway Operations
by: Adepitan, Adewumi Augustine, et al.
Published: (2026)
by: Adepitan, Adewumi Augustine, et al.
Published: (2026)
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions
by: Hewage, Harsha Chamara, et al.
Published: (2025)
by: Hewage, Harsha Chamara, et al.
Published: (2025)
Similar Items
-
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
by: Nguyen, Thanh Son, et al.
Published: (2025) -
Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
by: Xing, Yiluan, et al.
Published: (2024) -
From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
by: Veluru, Suhasnadh Reddy, et al.
Published: (2026) -
Optimization of Energy Consumption Forecasting in Puno using Parallel Computing and ARIMA Models: An Innovative Approach to Big Data Processing
by: Vilca-Tinta, Cliver W., et al.
Published: (2024) -
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
by: Li, Chaojian, et al.
Published: (2021)