| 2025 | GI | Preismodelle fr Diagnostische Entscheidungsuntersttzungssysteme: Marktstrukturanalyse und Entwicklungstendenzen. | Jan Kirchhoff, Christian Schieder, Fabian Berns, Johannes Schobel |
| 2022 | DSAA | Tracing Patterns in Electrophysiological Time Series Data. | Jan David Hwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Dfer, Christian Beecks |
| 2022 | ICDE | Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. | Georg Stefan Schlake, Jan David Hwel, Fabian Berns, Christian Beecks |
| 2022 | IIWAS | A Comparative Performance Analysis of Fast K-Means Clustering Algorithms. | Christian Beecks, Fabian Berns, Jan David Hwel, Andrea Linxen, Georg Stefan Schlake, Tim Dsterhus |
| 2021 | ICDM | LOGIC: Probabilistic Machine Learning for Time Series Classification. | Fabian Berns, Jan David Hwel, Christian Beecks |
| 2021 | INDIN | knowlEdge Project -Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0. | Sergio lvarez-Napagao, Boki Ashmore, Marta Barroso, Cristian Barru, Christian Beecks, Fabian Berns, Ilaria Bosi, Sisay Adugna Chala, Nicola Ciulli, Marta Garcia-Gasulla, Alexander Grass, Dimosthenis Ioannidis, Natalia Jakubiak, Karl Kpke, Ville Lms, Pedro Megias, Alexandros Nizamis, Claudio Pastrone, Rosaria Rossini, Miquel Snchez-Marr, Luca Ziliotti |
| 2021 | SDM | Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes. | Fabian Berns, Christian Beecks |
| 2021 | SDM | Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data. | Fabian Berns, Christian Beecks |
| 2021 | SSDBM | Local Gaussian Process Model Inference Classification for Time Series Data. | Fabian Berns, Joschka Hannes Strber, Christian Beecks |
| 2020 | CIKM | Automatic Gaussian Process Model Retrieval for Big Data. | Fabian Berns, Christian Beecks |
| 2020 | DATA | Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning. | Fabian Berns, Christian Beecks |
| 2020 | IC3K | Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes. | Fabian Berns, Christian Beecks |
| 2020 | ICPR | Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses. | Fabian Berns, Timo Ramsdorf, Christian Beecks |
| 2020 | ICPR | 3CS Algorithm for Efficient Gaussian Process Model Retrieval. | Fabian Berns, Kjeld Schmidt, Ingolf Bracht, Christian Beecks |
| 2019 | EDBT | Gaussian Processes for Anomaly Description in Production Environments. | Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Gra |