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)..
Type of Publication: Research article in edited proceedings (conference)

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..
Type of Publication: Research article in edited proceedings (conference)

Local Gaussian Process Model Inference Classification for Time Series Data

Berns F, Strueber JH, Beecks C (2021)
In: (eds.), ..
Type of Publication: Research article in edited proceedings (conference)

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..
Type of Publication: Research article in edited proceedings (conference)

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,..
Type of Publication: Research article in edited proceedings (conference)

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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).. Type of Publication: Research article in edited proceedings (conference)
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).. Type of Publication: Research article in edited proceedings (conference)
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.. Type of Publication: Research article in edited proceedings (conference)
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.. Type of Publication: Research article in edited proceedings (conference)
Local Gaussian Process Model Inference Classification for Time Series Data Berns F, Strueber JH, Beecks C (2021) In: (eds.), .. Type of Publication: Research article in edited proceedings (conference)
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.), .. Type of Publication: Research article in edited proceedings (conference)
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.. Type of Publication: Research article in edited proceedings (conference)
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,.. Type of Publication: Research article in edited proceedings (conference)
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,.. Type of Publication: Research article in edited proceedings (conference)
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).. Type of Publication: Research article in edited proceedings (conference)