Multi-task Meta Label Correction for Time Series Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Luxuan, Gao, Ting, Wei, Wei, Dai, Min, Fang, Cheng, Duan, Jinqiao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)
by: Cheng, Qishuo, et al.
Published: (2024)
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
Semantic-Enhanced Time-Series Forecasting via Large Language Models
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
Transformer Encoder and Multi-features Time2Vec for Financial Prediction
by: Bui, Nguyen Kim Hai, et al.
Published: (2025)
by: Bui, Nguyen Kim Hai, et al.
Published: (2025)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction
by: Ding, Fan, et al.
Published: (2025)
by: Ding, Fan, et al.
Published: (2025)
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)
by: Peik, Arash, et al.
Published: (2024)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection
by: Wei, Longfei, et al.
Published: (2025)
by: Wei, Longfei, et al.
Published: (2025)
Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
by: Zhang, Qianru, et al.
Published: (2025)
by: Zhang, Qianru, et al.
Published: (2025)
Orientation-aware interaction-based deep material network in polycrystalline materials modeling
by: Wei, Ting-Ju, et al.
Published: (2025)
by: Wei, Ting-Ju, et al.
Published: (2025)
MemKD: Memory-Discrepancy Knowledge Distillation for Efficient Time Series Classification
by: Udayangani, Nilushika, et al.
Published: (2026)
by: Udayangani, Nilushika, et al.
Published: (2026)
Echo State Networks for Bitcoin Time Series Prediction
by: Sharma, Mansi, et al.
Published: (2025)
by: Sharma, Mansi, et al.
Published: (2025)
Non-Invasive Glucose Prediction System Enhanced by Mixed Linear Models and Meta-Forests for Domain Generalization
by: Sun, Yuyang, et al.
Published: (2024)
by: Sun, Yuyang, et al.
Published: (2024)
Integrated Prediction and Multi-period Portfolio Optimization
by: Linghu, Yuxuan, et al.
Published: (2025)
by: Linghu, Yuxuan, et al.
Published: (2025)
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
by: Zheng, Kangjie, et al.
Published: (2024)
by: Zheng, Kangjie, et al.
Published: (2024)
FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios
by: Wu, Yingqian, et al.
Published: (2025)
by: Wu, Yingqian, et al.
Published: (2025)
Graph Multi-Similarity Learning for Molecular Property Prediction
by: Xu, Hao, et al.
Published: (2024)
by: Xu, Hao, et al.
Published: (2024)
Leveraging Multi-modal Representations to Predict Protein Melting Temperatures
by: Zhang, Daiheng, et al.
Published: (2024)
by: Zhang, Daiheng, et al.
Published: (2024)
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems
by: Li, Ming-Jian, et al.
Published: (2024)
by: Li, Ming-Jian, et al.
Published: (2024)
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data
by: Fan, Yuwei, et al.
Published: (2024)
by: Fan, Yuwei, et al.
Published: (2024)
MatMMFuse: Multi-Modal Fusion model for Material Property Prediction
by: Bhattacharya, Abhiroop, et al.
Published: (2025)
by: Bhattacharya, Abhiroop, et al.
Published: (2025)
CTBench: Cryptocurrency Time Series Generation Benchmark
by: Ang, Yihao, et al.
Published: (2025)
by: Ang, Yihao, et al.
Published: (2025)
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
by: Karkaria, Vispi, et al.
Published: (2024)
by: Karkaria, Vispi, et al.
Published: (2024)
Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
by: Younes, Eliane, et al.
Published: (2025)
by: Younes, Eliane, et al.
Published: (2025)
Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025)
by: Zhang, Qianru, et al.
Published: (2025)
Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
by: Comlek, Yigitcan, et al.
Published: (2024)
by: Comlek, Yigitcan, et al.
Published: (2024)
Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series
by: Morandi, Andrea
Published: (2026)
by: Morandi, Andrea
Published: (2026)
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
by: Fang, Shikai, et al.
Published: (2023)
by: Fang, Shikai, et al.
Published: (2023)
Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks
by: Schmeitz, Ruben, et al.
Published: (2024)
by: Schmeitz, Ruben, et al.
Published: (2024)
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
by: Arsene, Corneliu, et al.
Published: (2023)
by: Arsene, Corneliu, et al.
Published: (2023)
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
by: Pei, Qizhi, et al.
Published: (2024)
by: Pei, Qizhi, et al.
Published: (2024)
UAMM: Price-oracle based Automated Market Maker
by: Im, Daniel Jiwoong, et al.
Published: (2023)
by: Im, Daniel Jiwoong, et al.
Published: (2023)
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
by: Kriuk, Boris, et al.
Published: (2025)
by: Kriuk, Boris, et al.
Published: (2025)
Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)
by: Peik, Arash, et al.
Published: (2025)
International Trade Flow Prediction with Bilateral Trade Provisions
by: Pan, Zijie, et al.
Published: (2024)
by: Pan, Zijie, et al.
Published: (2024)
Movement Prediction-Adjusted Naive Forecast: Is the Naive Baseline Unbeatable in Financial Time Series Forecasting?
by: Zhang, Cheng
Published: (2024)
by: Zhang, Cheng
Published: (2024)
Similar Items
-
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024) -
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025) -
Semantic-Enhanced Time-Series Forecasting via Large Language Models
by: Liu, Hao, et al.
Published: (2025) -
Transformer Encoder and Multi-features Time2Vec for Financial Prediction
by: Bui, Nguyen Kim Hai, et al.
Published: (2025) -
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)