Publikationen

On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification

Klüttermann, Simon; Rutinowski, Jérôme; Polachowski, Frederik; Nguyen, Anh; Grimme, Britta; Roidl, Moritz; Müller, Emmanuel, 2024

Towards Highly Efficient Anomaly Detection for Predictive Maintenance

Klüttermann, Simon; Peka, Vanlal; Doebler, Philipp; Müller, Emmanuel, 2024

On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values

Klüttermann, Simon; Balestra, Chiara; Müller, Emmanuel, 2024

About Test-time training for outlier detection

Klüttermann, Simon; Müller, Emmanuel, 2024

Veröffentlicht in: arXiv

Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning

Kreis, Benedikt; Dengler, Nils; de Heuvel, Jorge; Menon, Rohit; Perur, Hamsa D.; Bennewitz, Maren, 2024

ICE-T: A Multi-Faceted Concept for Teaching Machine Learning

Krone, Hendrik; Haritz, Pierre; Liebig, Thomas, 2024

How to Be Fast and Not Furious: Looking Under the Hood of CPU Cache Prefetching

Kühn, Roland; Mühlig, Jan; Teubner, Jens, 2024

Sync or Sink? The Robustness of Sensor Fusion Against Temporal Misalignment

Kuhse, Daniel; Holscher, Nils; Gunzel, Mario; Teper, Harun; Von Der Bruggen, Georg; Chen, Jian-Jia; Lin, Ching-Chi, 2024

EEG-based Early Detection of Epileptic Seizures

Kumar, Uttam, 2024

Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms

Kumar, Vikas; Srivastava, Vishesh; Mahjabin, Sadia; Pal, Arindam; Klüttermann, Simon; Müller, Emmanuel, 2024