Machine learning (ML) methods are proliferating in scientific research.
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Survival analysis is an integral part of the statistical toolbox. Howeve...
Clinical data is often affected by clinically irrelevant factors such as...
We present the first empirical study on customer churn prediction in the...
In this perspective, we argue that despite the democratization of powerf...
Classifying samples in incomplete datasets is a common aim for machine
l...
Removing the bias and variance of multicentre data has always been a
cha...
Artificial intelligence (AI) provides a promising substitution for
strea...
Building on previous work by André Platzer, we present a formal language...
We define sound and adequate denotational and operational semantics for ...
Background: Machine learning methods offer great potential for fast and
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In this paper we present a sequential hypothesis test for the detection ...
In this paper, we present the testing of four hypotheses on two streams ...
Selective segmentation involves incorporating user input to partition an...