Metric Learning with Self-Adjusting Memory for Explaining Feature Drift
Kummert J, Schulz A, Hammer B (2023)
SN Computer Science 4(4): 376.
PhD Student
jkummert@techfak.uni-bielefeld.de +49 521 106-12130Room: CITEC 2-228
Metric Learning with Self-Adjusting Memory for Explaining Feature Drift
Kummert J, Schulz A, Hammer B (2023)
SN Computer Science 4(4): 376.
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices
Kummert J, Schulz A, Feldhans R, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1292-1297.
Data Augmentation for Cardiovascular Time Series Data Using WaveNet
Feldhans R, Schulz A, Kummert J, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 836-841.
Efficient Reject Options for Particle Filter Object Tracking in Medical Applications
Kummert J, Schulz A, Redick T, Ayoub N, Modabber A, Abel D, Hammer B (2021)
Sensors 21(6): 2114.
ToBI - Team of Bielefeld Enhancing the Robot Capabilities of the Social Standard Platform Pepper
Lier F, Kummert J, Renner P, Wachsmuth S (2019)
In: RoboCup 2018: Robot World Cup XXII. Holz D, Genter K, Saad M, von Stryk O (Eds); Lecture Notes in Computer Science, 11374. Cham: Springer: 524-535.
Local Reject Option for Deterministic Multi-class SVM
Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 251--258.