Robert Leppich

According to our database, Robert Leppich authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection.

Robert Leppich, Michael Stenger, André Bauer, Samuel Kounev

CoRR, July, 2025

Telling fortunes? Evaluation of traffic forecasting models using traffic and context features.

Marius Hadry, André Bauer, Robert Leppich, Veronika Lesch, Samuel Kounev

Appl. Intell., July, 2025

STEB: In Search of the Best Evaluation Approach for Synthetic Time Series.

Michael Stenger, Robert Leppich, André Bauer, Samuel Kounev

CoRR, May, 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, April, 2025

Quantifying Data Leakage in Failure Prediction Tasks.

Daniel Grillmeyer, Veronika Lesch, Marius Hadry, Vanessa Borst, Robert Leppich, André Bauer, Samuel Kounev

Dataset, March, 2025

Quantifying Data Leakage in Failure Prediction Tasks.

Daniel Grillmeyer, Marius Hadry, Veronika Lesch, Vanessa Borst, Robert Leppich, André Bauer, Samuel Kounev

Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering, 2025

2024

Evaluation is key: a survey on evaluation measures for synthetic time series.

Michael Stenger, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer

J. Big Data, December, 2024

Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis.

Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev

ACM J. Data Inf. Qual., June, 2024

Time Series Representation Models.

Robert Leppich, Vanessa Borst, Veronika Lesch, Samuel Kounev

CoRR, 2024

Comprehensive Exploration of Synthetic Data Generation: A Survey.

André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster

CoRR, 2024

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data).

Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev

Dataset, February, 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

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field.

André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster

CoRR, 2023

Efficient Data Processing: Assessing the Performance of Different Programming Languages.

Lukas Beierlieb, André Bauer, Robert Leppich, Lukas Iffländer, Samuel Kounev

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times.

Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023