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Multivariate Time Series Analysis with Irregularly Sampled Data |
Keywords | Machine Learning, Multivariate Time Series, Explainable AI + |
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Level | Master + |
OneLineSummary | The student will devise methods for handling irregularly sampled multivariate time series data, addressing missing data and modeling temporal relationships for applications in healthcare + |
Prerequisites | Statistics, Neural Networks, Programming (Python or Matlab) + |
StudentProjectStatus | Open + |
Supervisors | Awais Ashfaq + , Prayag Tiwari + |
TimeFrame | 2023-2024 + |
Title | Multivariate Time Series Analysis with Irregularly Sampled Data + |
Categories | StudentProject + |
Modification dateThis property is a special property in this wiki. | 9 October 2023 08:47:30 + |
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