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AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures
Frontiers
Both statistical and neural methods have been proposed in the literature to predict healthcare expenditures. However, less attention has been given to...
2 months ago
Global deep learning for joint time series forecasting
Towards Data Science
Machine Learning is a notoriously intricate field practised by academics and industries alike, constantly improving on its benchmarks and...
25 months ago
(PDF) Load Forecasting Techniques for Power System: Research Challenges and Survey
ResearchGate
PDF | The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast...
26 months ago
Using ChatGPT to Decode Stock Price Movements — An Academic Survey
DataDrivenInvestor
Can new AI models provide a competitive edge? Created with Stable Diffusion [1]. I've launched AI Horizon Forecast, a newsletter focusing on time-series and...
16 months ago
Attention for time series forecasting and classification
Towards Data Science
In this article, I will review current literature on applying transformers as well as attention more broadly to time series problems.
58 months ago