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2020 – today
- 2024
[j3]Michael Stenger
, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer:
Evaluation is key: a survey on evaluation measures for synthetic time series. J. Big Data 11(1): 66 (2024)- [j2]Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev:
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. ACM J. Data Inf. Qual. 16(2): 14:1-14:32 (2024) - [i3]André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster:
Comprehensive Exploration of Synthetic Data Generation: A Survey. CoRR abs/2401.02524 (2024) - [i2]Robert Leppich, Vanessa Borst, Veronika Lesch, Samuel Kounev:
Time Series Representation Models. CoRR abs/2405.18165 (2024) - 2023
- [j1]Konstantin Müller, Robert Leppich, Christian Geiß, Vanessa Borst, Patrick Aravena Pelizari, Samuel Kounev, Hannes Taubenböck:
Deep Neural Network Regression for Normalized Digital Surface Model Generation With Sentinel-2 Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8508-8519 (2023) - [c2]Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid 2023: 94-105 - [c1]Lukas Beierlieb, André Bauer, Robert Leppich, Lukas Iffländer, Samuel Kounev:
Efficient Data Processing: Assessing the Performance of Different Programming Languages. ICPE (Companion) 2023: 83-87 - [d1]Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). Zenodo, 2023
- [i1]André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster:
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. CoRR abs/2309.15871 (2023)
Coauthor Index
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