| Keywords
|
Machine Learning, Multivariate Time Series, Explainable AI +
|
| 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 +
|
