919 citations · 1.1k across the 28 of their papers we have counts for
31 papers
Correlation Based Feature Subset Selection for Multivariate Time-Series Data
Bahavathy Kathirgamanathan, Padraig Cunningham
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. In this paper, we prop…
Feature Selection Tutorial with Python Examples
Padraig Cunningham, Bahavathy Kathirgamanathan, Sarah Jane Delany
In Machine Learning, feature selection entails selecting a subset of the available features in a dataset to use for model development. There are many motivations for feature select…
A Feature Selection Method for Multi-Dimension Time-Series Data
Bahavathy Kathirgamanathan, Padraig Cunningham
Time-series data in application areas such as motion capture and activity recognition is often multi-dimension. In these application areas data typically comes from wearable sensor…
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression
Vivek Mahato, Pádraig Cunningham
It is well understood that Dynamic Time Warping (DTW) is effective in revealing similarities between time series that do not align perfectly. In this paper, we illustrate this on s…
An Evaluation of Classification Methods for 3D Printing Time-Series Data
Vivek Mahato, Muhannad Ahmed Obeidi, Dermot Brabazon +1
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
Padraig Cunningham, Sarah Jane Delany
Often, what is termed algorithmic bias in machine learning will be due to historic bias in the training data. But sometimes the bias may be introduced (or at least exacerbated) by…