Scientific research is one of the key building blocks of the knowlEdge project and enables us to (i) utilize state-of-the-art methods and concepts and (ii) report on our key findings and contributions to the scientific community. The following list will eventually grow over the course of its project and reflect the publicly available scientific progress we made. Each publication includes at least one project member.
Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms Journal Article
In: SN Computer Science, vol. 3, no. 4, pp. 300, 2022.
Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification Inproceedings
In: IEEE International Conference on Data Engineering (ICDE) Workshops, Kuala Lumpur, Malaysia, May 9, 2022, pp. 70-73, IEEE, 2022.
knowlEdge Project -- Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0 Online
2022, visited: 06.04.2022.
LOGIC: Probabilistic Machine Learning for Time Series Classification Inproceedings
In: 2021 IEEE International Conference on Data Mining (ICDM), pp. 1000–1005, IEEE, Auckland, New Zealand, 2021, ISBN: 978-1-66542-398-4.
knowlEdge Project -- Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0 Inproceedings
In: IEEE 19th International Conference on Industrial Informatics (INDIN), pp. 1-7, IEEE, 2021.
Local Gaussian Process Model Inference Classification for Time Series Data Inproceedings
In: Zhu, Qiang; Zhu, Xingquan; Tu, Yicheng; Xu, Zichen; Kumar, Anand (Ed.): SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, Tampa, FL, USA, July 6-7, 2021, pp. 209–213, ACM, 2021.
Automated Kernel Search for Gaussian Processes on Data Streams Inproceedings
In: 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pp. 3584–3588, IEEE, 2021.