40 citations · 86 across the 7 of their papers we have counts for
7 papers
Redescription Model Mining
Felix I. Stamm, Martin Becker, Markus Strohmaier +1
This paper introduces Redescription Model Mining, a novel approach to identify interpretable patterns across two datasets that share only a subset of attributes and have no common…
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
Michael Steininger, Konstantin Kobs, Albin Zehe +3
Land-use regression (LUR) models are important for the assessment of air pollution concentrations in areas without measurement stations. While many such models exist, they often us…
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data
Mark Kibanov, Martin Becker, Juergen Mueller +3
The k-Nearest Neighbor (kNN) classification approach is conceptually simple - yet widely applied since it often performs well in practical applications. However, using a global con…
Learning Semantic Relatedness From Human Feedback Using Metric Learning
Thomas Niebler, Martin Becker, Christian Pölitz +1
Assessing the degree of semantic relatedness between words is an important task with a variety of semantic applications, such as ontology learning for the Semantic Web, semantic se…
MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data
Martin Becker, Florian Lemmerich, Philipp Singer +2
Sequential traces of user data are frequently observed online and offline, e.g., as sequences of visited websites or as sequences of locations captured by GPS. However, understandi…
Analyzing Features for the Detection of Happy Endings in German Novels
Fotis Jannidis, Isabella Reger, Albin Zehe +3
With regard to a computational representation of literary plot, this paper looks at the use of sentiment analysis for happy ending detection in German novels. Its focus lies on the…