Caner Türkmen
Publications by Year
Research Areas
Time Series Analysis and Forecasting, Stock Market Forecasting Methods, Forecasting Techniques and Applications, Neural Networks and Applications, COVID-19 epidemiological studies
Most-Cited Works
- → Deep Learning for Time Series Forecasting: Tutorial and Literature Survey(2022)280 cited
- → Chronos: Learning the Language of Time Series(2024)51 cited
- → AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting(2023)20 cited
- → Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies(2022)2 cited
- → A Flexible Forecasting Stack(2024)
- → Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting(2025)