13 citations · 23 across the 8 of their papers we have counts for
4 papers · 1 filter
On the Relation between Prediction and Imputation Accuracy under Missing Covariates
Burim Ramosaj, Justus Tulowietzki, Markus Pauly
Missing covariates in regression or classification problems can prohibit the direct use of advanced tools for further analysis. Recent research has realized an increasing trend tow…
Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests
Burim Ramosaj
An important issue when using Machine Learning algorithms in recent research is the lack of interpretability. Although these algorithms provide accurate point predictions for vario…
Universal Approximation Theorems of Fully Connected Binarized Neural Networks
Mikail Yayla, Mario Günzel, Burim Ramosaj +1
Neural networks (NNs) are known for their high predictive accuracy in complex learning problems. Beside practical advantages, NNs also indicate favourable theoretical properties su…
Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis
Maria Thurow, Florian Dumpert, Burim Ramosaj +1
In statistical survey analysis, (partial) non-responders are integral elements during data acquisition. Treating missing values during data preparation and data analysis is therefo…