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Simon Klüttermann
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2020 – today
- 2024
- [c10]Jérôme Rutinowski, Niklas Schrötler, Simon Klüttermann, Moritz Roidl, Christian Janiesch:
A Laser-based Volumetric Measurement Approach for Industrial Settings. CASE 2024: 3595-3601 - [c9]Mohammad-Sahadet Hossain, Mohammad Sakhawat Hossain, Simon Klüttermann, Emmanuel Müller:
Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances. IJCNN 2024: 1-7 - [c8]Simon Klüttermann, Jérôme Rutinowski, Emmanuel Müller:
The Phenomenon of Correlated Representations in Contrastive Learning. IJCNN 2024: 1-8 - [c7]Vikas Kumar, Vishesh Srivastava, Sadia Mahjabin, Arindam Pal, Simon Klüttermann, Emmanuel Müller:
Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms. IJCNN 2024: 1-8 - [c6]Simon Klüttermann, Chiara Balestra, Emmanuel Müller:
On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. PAKDD (3) 2024: 43-55 - [c5]Jérôme Rutinowski, Simon Klüttermann, Jan Endendyk, Christopher Reining, Emmanuel Müller:
Benchmarking Trust: A Metric for Trustworthy Machine Learning. xAI (1) 2024: 287-307 - [i3]Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller:
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification. CoRR abs/2403.12606 (2024) - [i2]Simon Klüttermann, Emmanuel Müller:
About Test-time training for outlier detection. CoRR abs/2404.03495 (2024) - [i1]Minjae Ok, Simon Klüttermann, Emmanuel Müller:
Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics. CoRR abs/2409.15986 (2024) - 2023
- [c4]Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Müller:
On Graph Representation based Re-Identification - A Proof of Concept. ICDM (Workshops) 2023: 1097-1104 - [c3]Simon Klüttermann, Emmanuel Müller:
Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection. IJCNN 2023: 1-8 - 2022
- [c2]Benedikt Böing, Simon Klüttermann, Emmanuel Müller:
Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection. ICDM 2022: 861-866 - [c1]Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller:
Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. ICMLA 2022: 1543-1550
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last updated on 2024-11-08 21:27 CET by the dblp team
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