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Researcher
Kilian Hendrickx
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From24 Oct 2016 → 9 Aug 2020
Publications
1 - 8 of 8
- TSFuse: Automated feature construction for multiple time series data(2022)
Authors: Arne De Brabandere, Kilian Hendrickx, Wannes Meert, Jesse Davis
- Know your limits: Machine learning with rejection for vehicle engineering(2022)
Authors: Kilian Hendrickx, Wannes Meert, Jesse Davis
Pages: 273 - 288Number of pages: 15 - Similarity-based anomaly score for fleet-based condition monitoring(2020)
Authors: Kilian Hendrickx, Wannes Meert, Konstantinos Gryllias, Jesse Davis
- A general anomaly detection framework for fleet-based condition monitoring of machines(2020)
Authors: Kilian Hendrickx, Wannes Meert, Konstantinos Gryllias, Jesse Davis
- Fleet-based health monitoring for end-of-production-line and operational testing(2020)
Authors: Kilian Hendrickx, Wannes Meert, Konstantinos Gryllias, Jesse Davis
Pages: 1 - 16Number of pages: 16 - Customer-correlated drive cycle generation for realistic fuel consumption and driving emissions testing(2019)
Authors: Kilian Hendrickx
Number of pages: 6 - A fleet-wide approach for condition monitoring of similar machines using time-series clustering(2018)
Authors: Kilian Hendrickx, Wannes Meert, Konstantinos Gryllias, Jesse Davis
Pages: 101 - 110Number of pages: 10 - Condition monitoring of gears under medium rotational speed(2017)
Authors: Alex Ricardo Mauricio, Kilian Hendrickx, Konstantinos Gryllias
Number of pages: 8