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OmniFormer: A Patch Transformer for Joint Long-Term Multi-Dimensional Cryptocurrency Time Series Forecasting

https://doi.org/10.2139/ssrn.6331701
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Intraday time‐series momentum: Evidence from China
inferredcites →https://doi.org/10.1016/j.ajodo.2023.09.011openalex-snapshot
Decision trees and random forests
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1016/s0925-2312(01)00702-0openalex-snapshot
Time series forecasting using a hybrid ARIMA and neural network model
inferredcites →https://doi.org/10.1103/physreva.50.3295openalex-snapshot
Gaussian noise and quantum-optical communication
inferredcites →https://doi.org/10.1109/tkde.2024.3400008openalex-snapshot
The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
inferredcites →https://doi.org/10.1111/j.1540-6261.1993.tb04702.xopenalex-snapshot
Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency
inferredcites →https://doi.org/10.1145/2808231openalex-snapshot
Energy-Aware Scheduling for Real-Time Systems
inferredcites →https://doi.org/10.1177/17248035251322877openalex-snapshot
CLAM: A Synergistic Deep Learning Model for Multi-Step Stock Trend Forecasting
inferredcites →https://doi.org/10.1198/tech.2007.s455openalex-snapshot
Multivariate Data Analysis
inferredcites →https://doi.org/10.3934/mbe.2024054openalex-snapshot
The WuC-Adam algorithm based on joint improvement of Warmup and cosine annealing algorithms
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