| Automated model inference for Gaussian processes: an overview of state-of-the-art methods and algorithms F Berns, J Hüwel, C Beecks SN Computer Science 3 (4), 300, 2022 | 9 | 2022 |
| Automated kernel search for Gaussian processes on data streams JD Hüwel, F Berns, C Beecks 2021 IEEE International Conference on Big Data (Big Data), 3584-3588, 2021 | 9 | 2021 |
| Dynamically self-adjusting Gaussian processes for data stream modelling JD Hüwel, F Haselbeck, DG Grimm, C Beecks German Conference on Artificial Intelligence (Künstliche Intelligenz), 96-114, 2022 | 7 | 2022 |
| Using migrating cells as probes to illuminate features in live embryonic tissues S Gross-Thebing, L Truszkowski, D Tenbrinck, H Sánchez-Iranzo, ... Science Advances 6 (49), eabc5546, 2020 | 7 | 2020 |
| Logic: Probabilistic machine learning for time series classification F Berns, JD Hüwel, C Beecks 2021 IEEE International Conference on Data Mining (ICDM), 1000-1005, 2021 | 6 | 2021 |
| Analysis of extracellular potential recordings by high-density micro-electrode arrays of pancreatic islets JD Hüwel, A Gresch, T Berger, M Düfer, C Beecks International Conference on Database and Expert Systems Applications, 270-276, 2022 | 2 | 2022 |
| Evaluating the lottery ticket hypothesis to sparsify neural networks for time series classification GS Schlake, JD Hüwel, F Berns, C Beecks 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW …, 2022 | 2 | 2022 |
| Gaussian Process Component Mining with the Apriori Algorithm JD Hüwel, C Beecks International Conference on Database and Expert Systems Applications, 423-429, 2023 | 1 | 2023 |
| Tracing Patterns in Electrophysiological Time Series Data JD Hüwel, A Gresch, F Berns, R Koch, M Düfer, C Beecks 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022 | 1 | 2022 |
| On Kernel Search Based Gaussian Process Anomaly Detection JD Hüwel, A Besginow, F Berns, M Lange-Hegermann, C Beecks International Conference on Innovative Intelligent Industrial Production and …, 2020 | 1 | 2020 |
| On the Laplace Approximation as Model Selection Criterion for Gaussian Processes A Besginow, JD Hüwel, T Pawellek, C Beecks, M Lange-Hegermann arXiv preprint arXiv:2403.09215, 2024 | | 2024 |
| Frequent Component Analysis for Large Time Series Databases with Gaussian Processes JD Hüwel, C Beecks | | 2024 |
| 1776-P: Glucolipotoxic Conditions Affect Membrane Potential Wave Velocity Determined in Intact Islets Using Microelectrode Arrays AK GRESCH, T DEICKERT, JAND HÜWEL, J BRIGGS, C BEECKS, ... Diabetes 72 (Supplement_1), 2023 | | 2023 |
| Resolving spatiotemporal electrical signaling within the islet via CMOS microelectrode arrays A Gresch, JD Huewel, J Briggs, T Berger, R Koch, T Deickert, C Beecks, ... bioRxiv, 2023.10. 24.563843, 2023 | | 2023 |
| A Comparative Performance Analysis of Fast K-Means Clustering Algorithms C Beecks, F Berns, JD Hüwel, A Linxen, GS Schlake, T Düsterhus International Conference on Information Integration and Web, 119-125, 2022 | | 2022 |
| Automated Model Inference for Gaussian Processes F Berns, J Hüwel, C Beecks | | 2022 |
| Effects of source modeling in the finite element method based EEG forward problem J Hüwel, C Wolters, C Engwer | | 2021 |
| Exploring Methods to Apply Gaussian Processes in Industrial Anomaly Detection A Besginow, JD Hüwel, M Lange-Hegermann, C Beecks Neurocomputing 403, 383-399, 2020 | | 2020 |
| Publication C JD Hüwel, F Haselbeck, DG Grimm, C Beecks Time Series Forecasting with Self-Adaptive Gaussian Process Regression, 95, 0 | | |
| Komurlu, Caner 1 Koshizuka, Noboru 38 Laptev, Nikolay 1 Lehner, Wolfgang 111, 123 C Li, F Berns, P Chakraborty, Y Chen, Y Chen, S Dhiman, T Döhmen, ... | | |
Christian BeecksProfessor of Computer Science, University of Hagen, Germany || Fraunhofer FITVerified email at fernuni-hagen.de
