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Publications

Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes Berns F, Beecks C (2021) In: (eds.), Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 10-18. (kein Verlag angegeben). Research article in edited proceedings (conference) \| Peer reviewed \| Published
Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data Berns F, Beecks C (2021) In: (eds.), Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 360-368. (kein Verlag angegeben). Research article in edited proceedings (conference) \| Peer reviewed \| Published
Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses Berns F, Ramsdorf T, Beecks C (2021) In: (eds.), 1st International Workshop on Industrial Machine Learning at 25th International Conference on Pattern Recognition 2020, 650-661. . Research article in edited proceedings (conference) \| Peer reviewed \| Published
3CS Algorithm for Efficient Gaussian Process Model Retrieval Berns F, Schmidt K, Bracht I, Beecks C (2021) In: (eds.), Proceedings 25th of the International Conference on Pattern Recognition 2020, 1773-1780. . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Local Gaussian Process Model Inference Classification for Time Series Data Berns F, Strueber JH, Beecks C (2021) In: (eds.), . (kein Verlag angegeben). Research article in edited proceedings (conference) \| Peer reviewed \| Published
Automatic Gaussian Process Model Retrieval for Big Data Berns F, Beecks C (2020) In: d'Aquin M, Dietze S, Hauff C, Curry E, Cudré-Mauroux P (eds.), , 1965-1968. (kein Verlag angegeben). Research article in edited proceedings (conference) \| Peer reviewed \| Published
Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning Berns F, Beecks C (2020) In: (eds.), Proceedings of the 9th International Conference on Data Science, Technology and Applications. (kein Verlag angegeben). Research article in edited proceedings (conference) \| Peer reviewed \| Published
Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes Berns F, Beecks C (2020) In: (eds.), Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,, 71-80. . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0 Berns F, Lange-Hegermann M, Beecks C (2020) In: (eds.), Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,, 87-92. . Research article in edited proceedings (conference) \| Peer reviewed \| Published
A New Approach for Efficient Structure Discovery in IoT Berns F, Schmidt K, Grass A, Beecks C (2019) In: (eds.), 2019 IEEE International Conference on Big Data (Big Data), 4152-4156. . Research article in edited proceedings (conference) \| Peer reviewed \| Published