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Found 7 papers, 1 papers with code
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models
In that regard, accelerometer data collected from neck collars can be used along with Machine Learning models to classify calf behaviour automatically.
Correlation Based Feature Subset Selection for Multivariate Time-Series Data
Correlations in streams of multivariate time series data means that typically, only a small subset of the features are required for a given data mining task.
Feature Selection Tutorial with Python Examples
In Machine Learning, feature selection entails selecting a subset of the available features in a dataset to use for model development.
A Feature Selection Method for Multi-Dimension Time-Series Data
Time-series data in application areas such as motion capture and activity recognition is often multi-dimension.
An Evaluation of Classification Methods for 3D Printing Time-Series Data
Additive Manufacturing presents a great application area for Machine Learning because of the vast volume of data generated and the potential to mine this data to control outcomes.
Underestimation Bias and Underfitting in Machine Learning
Often, what is termed algorithmic bias in machine learning will be due to historic bias in the training data.
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)
This paper presents an overview of techniques for Nearest Neighbour classification focusing on; mechanisms for assessing similarity (distance), computational issues in identifying nearest neighbours and mechanisms for reducing the dimension of the data.
