An Empirical Study of Container Image Configurations and Their Impact on Start Times. - Martin Straesser; André Bauer 001; Robert Leppich; Nikolas Herbst; Kyle Chard; Ian T. Foster; Samuel Kounev (CCGrid, 2023)

Efficient Data Processing: Assessing the Performance of Different Programming Languages. - Lukas Beierlieb; André Bauer 001; Robert Leppich; Lukas Iffländer; Samuel Kounev (ICPE (Companion), 2023)

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. - André Bauer 001; Mark Leznik; Michael Stenger; Robert Leppich; Nikolas Herbst; Samuel Kounev; Ian T. Foster (CoRR, 2023)

Deep Neural Network Regression for Normalized Digital Surface Model Generation With Sentinel-2 Imagery. - Konstantin Müller; Robert Leppich; Christian Geiß; Vanessa Borst; Patrick Aravena Pelizari; Samuel Kounev; Hannes Taubenböck (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). - Martin Straesser; André Bauer 001; Robert Leppich; Nikolas Herbst; Kyle Chard; Ian T. Foster; Samuel Kounev (Zenodo, 2023)

MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs. - Vanessa Borst; Robert Leppich; Samuel Kounev (BHI, 2024)

Comprehensive Exploration of Synthetic Data Generation: A Survey. - André Bauer 001; Simon Trapp; Michael Stenger; Robert Leppich; Samuel Kounev; Mark Leznik; Kyle Chard; Ian T. Foster (CoRR, 2024)

Time Series Representation Models. - Robert Leppich; Vanessa Borst; Veronika Lesch; Samuel Kounev (CoRR, 2024)

Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. - Michael Stenger; André Bauer 001; Thomas Prantl; Robert Leppich; Nathaniel Hudson; Kyle Chard; Ian T. Foster; Samuel Kounev (ACM J. Data Inf. Qual., 2024)

Evaluation is key: a survey on evaluation measures for synthetic time series. - Michael Stenger; Robert Leppich; Ian T. Foster; Samuel Kounev; André Bauer 001 (J. Big Data, 2024)

Quantifying Data Leakage in Failure Prediction Tasks. - Daniel Grillmeyer; Marius Hadry; Veronika Lesch; Vanessa Borst; Robert Leppich; André Bauer 001; Samuel Kounev (ICPE, 2025)

Quantifying Data Leakage in Failure Prediction Tasks. - Daniel Grillmeyer; Veronika Lesch; Marius Hadry; Vanessa Borst; Robert Leppich; André Bauer 001; Samuel Kounev (Zenodo, 2025)

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation. - Robert Leppich; Michael Stenger; Daniel Grillmeyer; Vanessa Borst; Samuel Kounev (CoRR, 2025)

STEB: In Search of the Best Evaluation Approach for Synthetic Time Series. - Michael Stenger; Robert Leppich; André Bauer 001; Samuel Kounev (CoRR, 2025)

Telling fortunes? Evaluation of traffic forecasting models using traffic and context features. - Marius Hadry; André Bauer 001; Robert Leppich; Veronika Lesch; Samuel Kounev (Appl. Intell., 2025)

Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection. - Robert Leppich; Michael Stenger; André Bauer 001; Samuel Kounev (CoRR, 2025)