S
Steffen Pielström
Researcher at University of Würzburg
Publications - 16
Citations - 222
Steffen Pielström is an academic researcher from University of Würzburg. The author has contributed to research in topics: Stylometry & Computer science. The author has an hindex of 5, co-authored 12 publications receiving 179 citations.
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Journal ArticleDOI
Understanding and explaining Delta measures for authorship attribution
Stefan Evert,Thomas Proisl,Fotis Jannidis,Isabella Reger,Steffen Pielström,Christof Schöch,Thorsten Vitt +6 more
TL;DR: It is shown that feature vector normalization, that is, the transformation of the feature vectors to a uniform length of 1 (implicit in the cosine measure), is the decisive factor for the improvement of Delta proposed recently.
Journal ArticleDOI
Vibrational communication in the spatial organization of collective digging in the leaf-cutting ant Atta vollenweideri
Steffen Pielström,Flavio Roces +1 more
TL;DR: In this paper, isolated workers of the Chaco leaf-cutting ant Atta vollenweideri stridulate while excavating in soil, and investigated the possibility that workers communicate via vibrational signals in the context of collective nest excavation.
Journal ArticleDOI
Sequential Soil Transport and Its Influence on the Spatial Organisation of Collective Digging in Leaf-Cutting Ants
Steffen Pielström,Flavio Roces +1 more
TL;DR: Accumulated, freshly-excavated pellets significantly influenced the workers' decision where to start digging in a choice experiment, and provide cues that spatially organise collective nest excavation.
Journal ArticleDOI
Soil Moisture and Excavation Behaviour in the Chaco Leaf-Cutting Ant (Atta vollenweideri): Digging Performance and Prevention of Water Inflow into the Nest
Steffen Pielström,Flavio Roces +1 more
TL;DR: Investigation of the effects of varying soil moisture on behaviours associated with underground nest building in Chaco leaf-cutting ant Atta vollenweideri found weak preference and low group-level excavation rate observed for that mixture cannot be explained by any inability to work with the material.
Proceedings ArticleDOI
Towards a better understanding of Burrows's Delta in literary authorship attribution
TL;DR: The effects of standardization and vector normalization on the statistical distributions of features and the resulting text clustering quality are evaluated and supervised selection of discriminant words are explored as a procedure for further improving authorship attribution.