| Acoustic anomaly detection for machine sounds based on image transfer learning R Müller, F Ritz, S Illium, C Linnhoff-Popien arXiv preprint arXiv:2006.03429, 2020 | 25 | 2020 |
| Acoustic leak detection in water networks R Müller, S Illium, F Ritz, T Schröder, C Platschek, J Ochs, ... arXiv preprint arXiv:2012.06280, 2020 | 12 | 2020 |
| Visual Transformers for Primates Classification and Covid Detection S Illium, R Müller, A Sedlmeier, CL Popien Proc. Interspeech 2021, 451-455, 2021 | 10 | 2021 |
| Policy entropy for out-of-distribution classification A Sedlmeier, R Müller, S Illium, C Linnhoff-Popien Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 10 | 2020 |
| Analysis of feature representations for anomalous sound detection R Müller, S Illium, F Ritz, K Schmid arXiv preprint arXiv:2012.06282, 2020 | 9 | 2020 |
| Surgical mask detection with convolutional neural networks and data augmentations on spectrograms S Illium, R Müller, A Sedlmeier, C Linnhoff-Popien arXiv preprint arXiv:2008.04590, 2020 | 9 | 2020 |
| A Hybrid Approach for Segmenting and Fitting Solid Primitives to 3D Point Clouds M Friedrich, S Illium, PA Fayolle, C Linnhoff-Popien 15th International Joint Conference on Computer Graphics Theory and Applications, 2020 | 8 | 2020 |
| Self-replication in neural networks T Gabor, S Illium, M Zorn, C Lenta, A Mattausch, L Belzner, ... Artificial Life 28 (2), 205-223, 2022 | 5 | 2022 |
| Goals for self-replicating neural networks T Gabor, S Illium, M Zorn, C Linnhoff-Popien Artificial Life Conference Proceedings 33 2021 (1), 101, 2021 | 4 | 2021 |
| Deep neural baselines for computational paralinguistics D Elsner, S Langer, F Ritz, R Mueller, S Illium arXiv preprint arXiv:1907.02864, 2019 | 3 | 2019 |
| Towards Anomaly Detection in Reinforcement Learning R Müller, S Illium, T Phan, T Haider, C Linnhoff-Popien Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 2 | 2022 |
| CSG Tree Extraction from 3D Point Clouds and Meshes Using a Hybrid Approach M Friedrich, S Illium, PA Fayolle, C Linnhoff-Popien Computer Vision, Imaging and Computer Graphics Theory and Applications: 15th …, 2022 | 2 | 2022 |
| A Deep and Recurrent Architecture for Primate Vocalization Classification R Müller, S Illium, C Linnhoff-Popien Proc. Interspeech 2021, 461-465, 2021 | 2 | 2021 |
| Deep recurrent interpolation networks for anomalous sound detection R Müller, S Illium, C Linnhoff-Popien 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 1 | 2021 |
| What to do in the meantime: A service coverage analysis for parked autonomous vehicles S Illium, PA Friese, R Müller, S Feld AGILE: GIScience Series 1, 7, 2020 | 1 | 2020 |
| Trajectory annotation using sequences of spatial perception S Feld, S Illium, A Sedlmeier, L Belzner Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 1 | 2018 |
| Compression of GPS Trajectories using Autoencoders M Kölle, S Illium, C Hahn, L Schauer, J Hutter, C Linnhoff-Popien arXiv preprint arXiv:2301.07420, 2023 | | 2023 |
| VoronoiPatches: Evaluating A New Data Augmentation Method S Illium, G Griffin, M Kölle, M Zorn, J Nüßlein, C Linnhoff-Popien arXiv preprint arXiv:2212.10054, 2022 | | 2022 |
| Constructing Organism Networks from Collaborative Self-Replicators S Illium, M Zorn, C Lenta, M Kölle, C Linnhoff-Popien, T Gabor arXiv preprint arXiv:2212.10078, 2022 | | 2022 |
| Case-Based Inverse Reinforcement Learning Using Temporal Coherence J Nüßlein, S Illium, R Müller, T Gabor, C Linnhoff-Popien Case-Based Reasoning Research and Development: 30th International Conference …, 2022 | | 2022 |
Prof. Dr. Claudia Linnhoff-PopienLudwig-Maximilians-University, Mobile and Distributed Systems Group, LMUBestätigte E-Mail-Adresse bei ifi.lmu.de
