Scalable classifier-agnostic channel selection for multivariate time series classification
Accuracy is a key focus of current work in time series classification. However, speed and
data reduction are equally important in many applications, especially when the data scale …
data reduction are equally important in many applications, especially when the data scale …
Dimension selection strategies for multivariate time series classification with hive-cotev2. 0
AP Ruiz, A Bagnall - International Workshop on Advanced Analytics and …, 2022 - Springer
Multivariate time series classification (MTSC) is an area of machine learning that deals with
predicting a discrete target variable from multidimensional time dependent data. The …
predicting a discrete target variable from multidimensional time dependent data. The …
[PDF][PDF] Explaining Fatigue in Runners using Time Series Analysis on Wearable Sensor Data
Running while fatigued poses an increased risk of injury. Wearable sensors allow the
overall running kinematics or running pattern to be captured as time series signals. The …
overall running kinematics or running pattern to be captured as time series signals. The …
[PDF][PDF] Generating Explanations to understand Fatigue in Runners Using Time Series Data from Wearable Sensors
B Kathirgamanathan… - ICML 3rd Workshop on …, 2023 - drive.google.com
Running while fatigued poses an increased risk of injury. Wearable sensors can be used to
capture the running kinematics or running pattern as time series signals. The changes that …
capture the running kinematics or running pattern as time series signals. The changes that …