Pawel Bielski

According to our database, Pawel Bielski authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Micro Gas Turbine Electrical Energy Prediction.

Pawel Bielski, Dustin Kottonau

Dataset, April, 2024

Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning.

Pawel Bielski, Lena Witterauf, Sönke Jendral, Ralf Mikut, Jakob Bach

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines.

Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, Klemens Böhm

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

Towards Automatically Refining Low-Quality Domain Knowledge: A Case Study in Healthcare.

Pawel Bielski, Sönke Jendral, Lena Witterauf, Jakob Bach

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2021

An Evaluation of NILM Approaches on Industrial Energy-Consumption Data.

Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2019

Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions.

Michael Vollmer, Adrian Englhardt, Holger Trittenbach, Pawel Bielski, Shahab Karrari, Klemens Böhm

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019