Automated Kernel Search for Gaussian Processes on Data Streams. - Jan David Hüwel; Fabian Berns; Christian Beecks (IEEE BigData, 2021)

LOGIC: Probabilistic Machine Learning for Time Series Classification. - Fabian Berns; Jan David Hüwel; Christian Beecks (ICDM, 2021)

On Kernel Search Based Gaussian Process Anomaly Detection. - Jan David Hüwel; Andreas Besginow; Fabian Berns; Markus Lange-Hegermann; Christian Beecks (IN4PL (Revised Selected Papers), 2021)

Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets. - Jan David Hüwel; Anne Gresch; Tim Berger; Martina Düfer; Christian Beecks (DEXA (2), 2022)

Tracing Patterns in Electrophysiological Time Series Data. - Jan David Hüwel; Anne Gresch; Fabian Berns; Ruben Koch; Martina Düfer; Christian Beecks (DSAA, 2022)

Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. - Georg Stefan Schlake; Jan David Hüwel; Fabian Berns; Christian Beecks (ICDE Workshops, 2022)

A Comparative Performance Analysis of Fast K-Means Clustering Algorithms. - Christian Beecks; Fabian Berns; Jan David Hüwel; Andrea Linxen; Georg Stefan Schlake; Tim Düsterhus (iiWAS, 2022)

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. - Jan David Hüwel; Florian Haselbeck; Dominik G. Grimm; Christian Beecks (KI, 2022)

Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms. - Fabian Berns; Jan David Hüwel; Christian Beecks (SN Comput. Sci., 2022)

Gaussian Process Component Mining with the Apriori Algorithm. - Jan David Hüwel; Christian Beecks (DEXA (2), 2023)

Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering. - Jan David Hüwel; Georg Stefan Schlake; Kevin Albrechts; Christian Beecks (IEEE Big Data, 2024)

Discovering Structural Regularities in Time Series via Gaussian Processes. - Jan David Hüwel; Christian Beecks (DSAA, 2024)

Frequent Component Analysis for Large Time Series Databases with Gaussian Processes. - Jan David Hüwel; Christian Beecks (EDBT, 2024)

Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. - Jan David Hüwel; Georg Stefan Schlake; Kevin Albrechts; Christian Beecks (SISAP, 2024)

On the Laplace Approximation as Model Selection Criterion for Gaussian Processes. - Andreas Besginow; Jan David Hüwel; Thomas Pawellek; Christian Beecks; Markus Lange-Hegermann (CoRR, 2024)