Research output per year
Research output per year
Personal profile
Keywords
- Computer Science
- Machine Learning
- Deep Learning
- Anomaly Detection
- Time Series Analysis
- Industry and Production
- Machine Learning
- Deep Learning
- Anomaly Detection
- Time Series Analysis
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Collaborations from the last five years
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Research output
- 2 Article in proceeding
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STAD-FEBTE, a Shallow and Supervised Framework for Time Series Anomaly Detection by Automatic Feature Engineering, Balancing, and Tree-Based Ensembles: An Industrial Case Study
Zakeriharandi, M., LI, C., Schou, C., Lazic Villumsen, S., Bøgh, S. & Madsen, O., 2 Aug 2023, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE (Institute of Electrical and Electronics Engineers), p. 840-846 7 p. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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Reinforcement Learning-Based Adaptive Control of Screwing Process Under Material Uncertainties
Bodilsen, M. S., Nielsen, M. B., Berg, S. V., Zakeriharandi, M. & Bøgh, S., 2022, IEEE International Conference on Machine Learning and Applications. IEEE (Institute of Electrical and Electronics Engineers)Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review