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07/19/2021
Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning
A significant impediment to progress in research on bias in machine lear...
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06/29/2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
While state-of-the-art NLP models have been achieving the excellent perf...
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06/11/2021
Feature Selection Tutorial with Python Examples
In Machine Learning, feature selection entails selecting a subset of the...
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05/31/2021
Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning
Algorithmic Bias can be due to bias in the training data or issues with ...
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04/28/2021
Algorithmic Factors Influencing Bias in Machine Learning
It is fair to say that many of the prominent examples of bias in Machine...
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04/22/2021
A Feature Selection Method for Multi-Dimension Time-Series Data
Time-series data in application areas such as motion capture and activit...
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10/11/2020
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression
It is well understood that Dynamic Time Warping (DTW) is effective in re...
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10/02/2020
An Evaluation of Classification Methods for 3D Printing Time-Series Data
Additive Manufacturing presents a great application area for Machine Lea...
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05/18/2020
Algorithmic Bias and Regularisation in Machine Learning
Often, what is termed algorithmic bias in machine learning will be due t...
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04/09/2020
k-Nearest Neighbour Classifiers – 2nd Edition
Perhaps the most straightforward classifier in the arsenal or machine le...
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01/12/2016
Indicators of Good Student Performance in Moodle Activity Data
In this paper we conduct an analysis of Moodle activity data focused on ...
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03/12/2014
Adaptive Representations for Tracking Breaking News on Twitter
Twitter is often the most up-to-date source for finding and tracking bre...
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04/15/2013
Link Prediction with Social Vector Clocks
State-of-the-art link prediction utilizes combinations of complex featur...
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06/08/2012
