Synthetic time series dataset generation for unsupervised autoencoders. - Hendrik Klopries; David Orlando Salazar Torres; Andreas Schwung (ETFA, 2022)

Flexible Activation Bag: Learning Activation Functions in Autoencoder Networks. - Hendrik Klopries; Andreas Schwung (ICIT, 2023)

Bag-of-Functions Denoising: Extracting main components in time series. - Hendrik Klopries; Andreas Schwung (ISIE, 2023)

Extracting interpretable features for time series analysis: A Bag-of-Functions approach. - Hendrik Klopries; Andreas Schwung (Expert Syst. Appl., 2023)

Foreign Object Separation in Bulk Good Systems Using Machine Learning and Image Processing. - Marlon Löppenberg; Hendrik Klopries; Jonas Bartsch; Andreas Schwung (ICIT, 2024)

Bag-of-Future: Time Series Forecasting by Continuous Function Candidates. - Hendrik Klopries; Vignesh Chandramouli; Andreas Schwung (ISIE, 2024)

ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features. - Hendrik Klopries; Andreas Schwung (Knowl. Based Syst., 2024)

ITF-VAE: Variational Auto-Encoder Using Interpretable Continuous Time Series Features. - Hendrik Klopries; Andreas Schwung (IEEE Trans. Artif. Intell., 2025)