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10/09/2019
Estimating regression errors without ground truth values
Regression analysis is a standard supervised machine learning method use...
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05/07/2019
Guided Visual Exploration of Relations in Data Sets
Efficient explorative data analysis systems must take into account both ...
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11/14/2018
Randomisation Algorithms for Large Sparse Matrices
In many domains it is necessary to generate surrogate networks, e.g., fo...
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05/20/2018
Human-guided data exploration using randomisation
An explorative data analysis system should be aware of what the user alr...
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04/09/2018
Human-Guided Data Exploration
The outcome of the explorative data analysis (EDA) phase is vital for su...
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07/24/2017
Interpreting Classifiers through Attribute Interactions in Datasets
In this work we present the novel ASTRID method for investigating which ...
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12/27/2016
Clustering with Confidence: Finding Clusters with Statistical Guarantees
Clustering is a widely used unsupervised learning method for finding str...
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12/22/2016