logo
ResearchBunny Logo
Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior

Computer Science

Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior

A. T. Karl, J. Wisnowski, et al.

Discover groundbreaking insights as Andrew T Karl, James Wisnowski, and Lambros Petropoulos delve into the power of recurrent neural networks for accurately forecasting call center volumes. With a focus on overcoming complex seasonal patterns and autocorrelation, this research contrasts advanced deep learning techniques with traditional forecasting methods, revealing practical strategies for real-world applications.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny