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From ISLAB/CAISR
| Meta-learning for Multivariate Signals |
| Keywords | Meta-learning, domain adaptation, neural network, time-series data, activity recognition + |
|---|---|
| Level | Master + |
| OneLineSummary | Apply meta-learning algorithms to unlabelled time-series data to solve machine activity recognition problems. + |
| Prerequisites | A solid background in neural networks; good knowledge of Python for implementing deep learning algorithms. Courses: Learning System; Deep Learning + |
| StudentProjectStatus | Open + |
| Supervisors | Kunru Chen + , Anna Vettoruzzo + , Mohamed-Rafik Bouguelia + |
| TimeFrame | 2022 Fall - 2023 Summer + |
| Title | Meta-learning for Multivariate Signals + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 21 September 2022 12:13:19 + |
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