A method to concatenate multiple short time series for evaluating dynamic behaviour during walking by Stefan Orter (6786098)

“…The collected time series were cut into multiple shorter time series of varying lengths and subsequently concatenated using a novel algorithm that identifies similar poses in successive time series in order to determine an optimal concatenation time point. …”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Robustness of the optimization process in a real dataset. by Neta Ravid Tannenbaum (2940351)

“…Purple lines are the average of all the realizations with different start points. It can be seen that the optimization algorithm which is used in this work to fit the iCVS model is affected by the supplied start points. …”