Jan David Hüwel

According to our database, Jan David Hüwel authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Fast Model Selection for Interpretable Gaussian Process Models Using Laplace Approximation.

Andreas Besginow, Thomas Pawellek, Jan David Hüwel, Christian Beecks, Markus Lange-Hegermann

Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026

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

Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series.

Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks

Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

Frequent Component Analysis for Large Time Series Databases with Gaussian Processes.

Jan David Hüwel, Christian Beecks

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Discovering Structural Regularities in Time Series via Gaussian Processes.

Jan David Hüwel, Christian Beecks

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering.

Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Gaussian Process Component Mining with the Apriori Algorithm.

Jan David Hüwel, Christian Beecks

Proceedings of the Database and Expert Systems Applications, 2023

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

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling.

Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks

Proceedings of the KI 2022: Advances in Artificial Intelligence, 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

Proceedings of the Information Integration and Web Intelligence, 2022

Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification.

Georg Stefan Schlake, Jan David Hüwel, Fabian Berns, Christian Beecks

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

Tracing Patterns in Electrophysiological Time Series Data.

Jan David Hüwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Düfer, Christian Beecks

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

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

Proceedings of the Database and Expert Systems Applications, 2022

2021

On Kernel Search Based Gaussian Process Anomaly Detection.

Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks

Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2021

LOGIC: Probabilistic Machine Learning for Time Series Classification.

Fabian Berns, Jan David Hüwel, Christian Beecks

Proceedings of the IEEE International Conference on Data Mining, 2021

Automated Kernel Search for Gaussian Processes on Data Streams.

Jan David Hüwel, Fabian Berns, Christian Beecks

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021