Fabian Berns

27 papers A* 1A 3B 5C 3Journal 2Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Evaluation of Chunking and Embedding Strategies for Local Document Retrieval Using an Open-Source LLM in a Hospital.
GMDS
Jan Bossenz, Carlo Günzl, Fabian Berns, Annemarie Weise, Christian Jäger, Jan Kirchhoff, Jan Christoph, Christoph Demus
2025 — conf
Preismodelle für Diagnostische Entscheidungsunterstützungssysteme: Marktstrukturanalyse und Entwicklungstendenzen.
INFORMATIK
Jan Kirchhoff, Christian Schieder, Fabian Berns, Johannes Schobel
2025 J jnl
Valuing diagnostic AI: a structured reimbursement model for learning healthcare systems.
Frontiers Digit. Health
Jan Kirchhoff, Christian Schieder, Fabian Berns, Johannes Schobel
2023 B conf
Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements.
IEEE Big Data
Fabian Berns, Georg Zimmermann, Christian Borgelt, Niclas Heilig, Jan Kirchhoff, Florian Stumpe
2022 C conf
A Comparative Performance Analysis of Fast K-Means Clustering Algorithms.
iiWAS
Christian Beecks, Fabian Berns, Jan David Hüwel, Andrea Linxen, Georg Stefan Schlake, Tim Düsterhus
2022 J jnl
Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms.
SN Comput. Sci.
Fabian Berns, Jan David Hüwel, Christian Beecks
2022 — conf
Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification.
ICDE Workshops
Georg Stefan Schlake, Jan David Hüwel, Fabian Berns, Christian Beecks
2022 — —
Machine Learning with Gaussian Processes: Automated Model Search and Data Analysis.
Fabian Berns
2022 B conf
Tracing Patterns in Electrophysiological Time Series Data.
DSAA
Jan David Hüwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Düfer, Christian Beecks
2021 — conf
Automated Kernel Search for Gaussian Processes on Data Streams.
IEEE BigData
Jan David Hüwel, Fabian Berns, Christian Beecks
2021 A conf
Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data.
SDM
Fabian Berns, Christian Beecks
2021 A* conf
LOGIC: Probabilistic Machine Learning for Time Series Classification.
ICDM
Fabian Berns, Jan David Hüwel, Christian Beecks
2021 B conf
Local Gaussian Process Model Inference Classification for Time Series Data.
SSDBM
Fabian Berns, Joschka Hannes Strüber, Christian Beecks
2021 — conf
On Kernel Search Based Gaussian Process Anomaly Detection.
IN4PL (Revised Selected Papers)
Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks
2021 A conf
Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes.
SDM
Fabian Berns, Christian Beecks
2021 C conf
knowlEdge Project -Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0.
INDIN
Sergio Álvarez-Napagao, Boki Ashmore, Marta Barroso, Cristian Barrué, Christian Beecks, Fabian Berns, Ilaria Bosi, Sisay Adugna Chala, Nicola Ciulli, Marta Garcia-Gasulla, Alexander Grass, Dimosthenis Ioannidis, Natalia Jakubiak, Karl Köpke, Ville Lämsä, Pedro Megias, Alexandros Nizamis, Claudio Pastrone, Rosaria Rossini, Miquel Sànchez-Marrè, Luca Ziliotti
2020 B conf
3CS Algorithm for Efficient Gaussian Process Model Retrieval.
ICPR
Fabian Berns, Kjeld Schmidt, Ingolf Bracht, Christian Beecks
2020 A conf
Automatic Gaussian Process Model Retrieval for Big Data.
CIKM
Fabian Berns, Christian Beecks
2020 — conf
Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes.
KDIR
Fabian Berns, Christian Beecks
2020 — conf
Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses.
ICPR Workshops (4)
Fabian Berns, Timo Ramsdorf, Christian Beecks
2020 — conf
Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.
IN4PL
Fabian Berns, Markus Lange-Hegermann, Christian Beecks
2020 C conf
Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning.
DATA
Fabian Berns, Christian Beecks
2019 — conf
A New Approach for Efficient Structure Discovery in IoT.
IEEE BigData
Fabian Berns, Kjeld Willy Schmidt, Alexander Grass, Christian Beecks
2019 — conf
Gaussian Processes for Anomaly Description in Production Environments.
EDBT/ICDT Workshops
Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Graß
2019 — conf
Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data.
IEEE BigData
Christian Beecks, Fabian Berns, Kjeld Willy Schmidt
2019 B conf
V3C1 Dataset: An Evaluation of Content Characteristics.
ICMR
Fabian Berns, Luca Rossetto, Klaus Schoeffmann, Christian Beecks, George Awad
2019 — conf
lifeXplore at the Lifelog Search Challenge 2019.
LSC@ICMR
Andreas Leibetseder, Bernd Münzer, Manfred Jürgen Primus, Sabrina Kletz, Klaus Schoeffmann, Fabian Berns, Christian Beecks