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20122021
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cs.LG20218 cited

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…

cs.LG202112 cited

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…

cs.LG2020

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…

cs.LG2020

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.…

cs.LG2020

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…