The study entitled “BeTiSe: A Comprehensive Benchmark Dataset for Time Series Stationarity and Structural Analysis,” developed with contributions from members of our department, was presented at the International Conference on Time Series and Forecasting (ITISE 2026), held in Gran Canaria, Spain, from 15 to 17 July 2026.
Authored by Kerem R. Gür, P. Cemre Yazıcı, Pelin Erkaya, Yağmur Türkmen, Berke Baytak, İsmail Güzel, Pınar Karagöz and Ceylan Yozgatlıgil, BeTiSe provides a comprehensive benchmark dataset for the systematic investigation of stationarity properties and structural characteristics in time series. The study aims to support the evaluation of different analytical methods on a common data foundation and to improve comparability in time-series research.
We congratulate our researchers and wish them continued success in their contributions to time-series analysis and forecasting.