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ORCIDMilot Gashi
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2020 – today
- 2022
[j2]Milot Gashi
, Heimo Gursch, Hannes Hinterbichler, Stefan Pichler, Stefanie N. Lindstaedt, Stefan Thalmann:
MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach. Sensors 22(8): 2837 (2022)- [c6]Milot Gashi, Belgin Mutlu, Stefanie N. Lindstaedt, Stefan Thalmann:
Decision support for multi-component systems: visualizing interdependencies for predictive maintenance. HICSS 2022: 1-10 - [c5]Leo Botler, Milot Gashi, Konrad Diwold, Kay Römer:
Poster Abstract: Machine Learning-based Models for Phase-Difference-of-Arrival Measurements Using Ultra-Wideband Transceivers. IPSN 2022: 517-518 - [c4]Milot Gashi, Leo Botler, Georgios Koutroulis, Konrad Diwold:
Poster Abstract: Accurate and Efficient Hybrid Indoor Localization using ML Methods. IPSN 2022: 523-524 - 2021
- [j1]Milot Gashi, Patrick Ofner, Helmut Ennsbrunner, Stefan Thalmann:
Dealing with missing usage data in defect prediction: A case study of a welding supplier. Comput. Ind. 132: 103505 (2021) - [c3]Belgin Mutlu, Milot Gashi, Vedran Sabol:
Towards a Task-based Guidance in Exploratory Visual Analytics. HICSS 2021: 1-9
2010 – 2019
- 2019
- [c2]Milot Gashi, Stefan Thalmann:
Taking Complexity into Account: A Structured Literature Review on Multi-component Systems in the Context of Predictive Maintenance. EMCIS 2019: 31-44 - 2018
- [c1]Stefan Thalmann, Juergen Mangler, Tobias Schreck, Christian Huemer, Marc Streit, Florian Pauker, Georg Weichhart, Stefan Schulte, Christian Kittl, Christoph Pollak, Matej Vukovic, Gerti Kappel, Milot Gashi, Stefanie Rinderle-Ma, Josef Suschnigg, Nikolina Jekic, Stefanie N. Lindstaedt:
Data Analytics for Industrial Process Improvement A Vision Paper. CBI (2) 2018: 92-96
Coauthor Index
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