| The problem with real-world novelty detection-issues in multivariate probabilistic models C Gruhl, A Hannan, Z Huang, C Nivarthi, S Vogt 2021 IEEE international conference on autonomic computing and self …, 2021 | 8 | 2021 |
| Toward application of continuous power forecasts in a regional flexibility market Y He, Z Huang, B Sick 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 8 | 2021 |
| LwTool: A data processing toolkit for building a real-time pressure mapping smart textile software system T Guo, Z Huang, J Cheng Pervasive and Mobile Computing 80, 101540, 2022 | 7 | 2022 |
| Spatio-temporal attention graph neural network for remaining useful life prediction Z Huang, Y He, B Sick 2023 International Conference on Computational Science and Computational …, 2023 | 5 | 2023 |
| Design of explainability module with experts in the loop for visualization and dynamic adjustment of continual learning Y He, Z Huang, B Sick arXiv preprint arXiv:2202.06781, 2022 | 3 | 2022 |
| TPM Framework: a Comprehensive Kit for Exploring Applications with Textile Pressure Mapping Matrix B Zhou, J Cheng, A Mawandia, Y He, Z Huang, M Sundholm, M Yildrim, ... UBICOMM, 2017 | 3 | 2017 |
| Spatial-temporal attention graph neural network with uncertainty estimation for remaining useful life prediction Z Huang, Y He, CP Nivarthi, C Gruhl, B Sick 2024 International Joint Conference on Neural Networks (IJCNN), 1-9, 2024 | 2 | 2024 |
| Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning M Herde, Z Huang, D Huseljic, D Kottke, S Vogt, B Sick arXiv preprint arXiv:2210.06112, 2022 | 2 | 2022 |
| PrOuD: Probabilistic Outlier Detection Solution for Time-Series Analysis of Real-World Photovoltaic Inverters Y He, Z Huang, S Vogt, B Sick Energies 17 (1), 64, 2023 | 1 | 2023 |
| Uncertainty and Utility Sampling with Pre-Clustering. Z Huang, Y He, S Vogt, B Sick IAL@ PKDD/ECML, 21-34, 2021 | 1 | 2021 |
| Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction Z Huang, Y He, CP Nivarthi, B Sick, C Gruhl International Conference on Pattern Recognition, 1-21, 2024 | | 2024 |
| LiST: An All-Linear-Layer Spatial-Temporal Feature Extractor with Uncertainty Estimation for RUL Prediction Z Huang, C Gruhl, B Sick 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA …, 2024 | | 2024 |
| Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection CP Nivarthi, Z Huang, C Gruhl, B Sick 2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024 | | 2024 |
| Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. Z Huang, Y He, M Herde, D Huseljic, B Sick IAL@ PKDD/ECML, 25-45, 2023 | | 2023 |
| Organic Computing SA Böhm, M Ahrens, CP Nivarthi, F Heidecker, J Büttner, K Dingel, ... kassel university press, 2022 | | 2022 |
| Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations D Huseljic, M Herde, L Rauch, P Hahn, Z Huang, S Vogt, D Kottke, B Sick | | |