| 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 | 58 | 2020 |
| Analysis of feature representations for anomalous sound detection R Müller, S Illium, F Ritz, K Schmid arXiv preprint arXiv:2012.06282, 2020 | 24 | 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 | 17 | 2020 |
| Visual Transformers for Primates Classification and Covid Detection S Illium, R Müller, A Sedlmeier, CL Popien Proc. Interspeech 2021, 451-455, 2021 | 16 | 2021 |
| 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 | 16 | 2020 |
| 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 | 15 | 2020 |
| 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 | 14 | 2022 |
| 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 | 12 | 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 | 11 | 2022 |
| 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 | 8 | 2021 |
| Goals for self-replicating neural networks T Gabor, S Illium, M Zorn, C Linnhoff-Popien ALIFE 2021: The 2021 Conference on Artificial Life, 2021 | 7 | 2021 |
| A Deep and Recurrent Architecture for Primate Vocalization Classification R Müller, S Illium, C Linnhoff-Popien Proc. Interspeech 2021, 461-465, 2021 | 7 | 2021 |
| Deep neural baselines for computational paralinguistics D Elsner, S Langer, F Ritz, R Mueller, S Illium arXiv preprint arXiv:1907.02864, 2019 | 6 | 2019 |
| Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks S Illium, T Schillman, R Müller, T Gabor, C Linnhoff-Popien 14th International Conference on Agents and Artificial Intelligence: ICAART …, 2022 | 5 | 2022 |
| Constructing organism networks from collaborative self-replicators S Illium, M Zorn, C Lenta, M Kölle, C Linnhoff-Popien, T Gabor 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1268-1275, 2022 | 3 | 2022 |
| CSG tree extraction from 3D point clouds and meshes using a hybrid approach M Friedrich, S Illium, PA Fayolle, C Linnhoff-Popien International Joint Conference on Computer Vision, Imaging and Computer …, 2020 | 3 | 2020 |
| 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 | 2 | 2020 |
| Soccer Team Vectors R Müller, S Langer, F Ritz, C Roch, S Illium, C Linnhoff-Popien Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 2 | 2020 |
| Emergence in Multi-agent Systems: A Safety Perspective P Altmann, J Schönberger, S Illium, M Zorn, F Ritz, T Haider, S Burton, ... International Symposium on Leveraging Applications of Formal Methods, 104-120, 2024 | 1 | 2024 |
| Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms M Kölle, Y Erpelding, F Ritz, T Phan, S Illium, C Linnhoff-Popien arXiv preprint arXiv:2401.07056, 2024 | 1 | 2024 |
Prof. Dr. Claudia Linnhoff-PopienLudwig-Maximilians-University, Mobile and Distributed Systems Group, LMUVerified email at ifi.lmu.de
