Publikationen

2023[ to top ]
  • Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. Nivarthi, Chandana Priya; Sick, Bernhard. In International Conference on Machine Learning and Applications (ICMLA), bll 1444–1450. IEEE, 2023.
  • Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions. Nivarthi, Chandana Priya; Vogt, Stephan; Sick, Bernhard. In Machine Learning and Knowledge Extraction (MAKE), 5(3), bll 1214–1233. MDPI, 2023.
2022[ to top ]
  • Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. Nivarthi, Chandana Priya; Vogt, Stephan; Sick, Bernhard. In International Conference on Machine Learning and Applications (ICMLA), bll 1530–1536. IEEE, 2022.
  • Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems. Nivarthi, Chandana Priya. In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 47–59. kassel university press, 2022.
2021[ to top ]
  • The Problem with Real-World Novelty Detection -- Issues in Multivariate Probabilistic Models. Gruhl, Christian; Hannan, Abdul; Huang, Zhixin; Nivarthi, Chandana; Vogt, Stephan. In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 204–209. IEEE, 2021.
2020[ to top ]
  • Implementing IoT in India---A Look at Macro Issues and a Framework for Recommendations. Singh, Apoorvaa; Nivarthi, Chandana Priya; Akhilesh, K. B. In Smart Technologies : Scope and Applications, K. B. Akhilesh, D. P. F. Möller (reds.), bll 35–52. Springer, 2020.
  • Cybercare---Role of Cyber Security in Healthcare Industry. Nivarthi, Chandana Priya; Akhilesh, K. B. In Smart Technologies : Scope and Applications, K. B. Akhilesh, D. P. F. Möller (reds.), bll 291–304. Springer, 2020.