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- 2022
- Physics-based neural network models for prediction of cam-follower dynamics beyond nominal operations (2022) IEEE-ASME TRANSACTIONS ON MECHATRONICS. 27(4). p.2345-2355
- Neural network augmented physics models for systems with partially unknown dynamics : application to slider-crank mechanism (2022) IEEE-ASME TRANSACTIONS ON MECHATRONICS. 27(1). p.103-114
- 2021
- A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project (2021) APPLIED SCIENCES-BASEL. 11(24).
- Event-driven dashboarding and feedback for improved event detection in predictive maintenance applications (2021) APPLIED SCIENCES-BASEL. 11(21).
- Bayesian convolutional neural networks for remaining useful life prognostics of solenoid valves with uncertainty estimations (2021) IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. 17(12). p.8418-8428
- Overly optimistic prediction results on imbalanced data : a case study of flaws and benefits when applying over-sampling (2021) ARTIFICIAL INTELLIGENCE IN MEDICINE. 111.
- FLAGS : a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning (2021) FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. 116. p.30-48
- Anomaly detection and event mining in cold forming manufacturing processes (2021) INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. 115(3). p.837-852
- 2020
- Mining recurring patterns in real-valued time series using the radius profile (2020) 2020 IEEE International Conference on Data Mining (ICDM). In Proceedings (IEEE International Conference on Data Mining) p.984-989
- Unsupervised anomaly detection for communication networks : an autoencoder approach (2020) IoT streams for data-driven predictive maintenance and IoT, edge, and mobile for embedded machine learning. In Communications in Computer and Information Science 1325. p.160-172