Program, 7 January 2021 (all times in UTC)
| Session 1 | ||
|---|---|---|
| 8:30–9:20 | Keynote “A Neuro-symbolic Approach for IoT Applications” Jörn Plönnigs |
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| 9:20–9:45 | “Handling Variable-Dimensional Time Series with Graph Neural Networks” Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig and Gautam Shroff |
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| 9:45–10:10 | “Robust Sequential Variational Autoencoder for Multivariate Time Series Anomaly Detection” Yao Yu, Junhyeok Kang, Jae-Gil Lee, Jonghwa Kim and Kyungdeok Seo |
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| 10:10–10:30 | “Unsupervised Anomaly Detection in Heterogeneous Network Time Series with Mixed Sampling Rates” Shaoyu Dou, Kai Yang, Pan Luo and Yang Jiao |
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| Session 2 | ||
| 11:30–12:20 | Keynote “Machine Learning-assisted Animal Activity Sensing and Understanding” Takuya Maekawa |
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| 12:20–12:40 | “Evaluating Federated Learning for human activity recognition” Sannara Ek, Francois Portet, Philippe Lalanda and German Vega |
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| 12:40–13:00 | “Discovering Unknown IoT Devices” Franck Le and Mudhakar Srivatsa |
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