11 citations · 34 across the 6 of their papers we have counts for
7 papers
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks
Spyroula Masiala, Willem Huijbers, Martin Atzmueller
Freezing of gait (FoG) is a common gait disability in Parkinson's disease, that usually appears in its advanced stage. Freeze episodes are associated with falls, injuries, and psyc…
Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations
Martin Atzmueller, Cicek Güven, Dietmar Seipel
The explication and the generation of explanations are prominent topics in artificial intelligence and data science, in order to make methods and systems more transparent and under…
Finding Maximal Non-Redundant Association Rules in Tennis Data
Daniel Weidner, Martin Atzmueller, Dietmar Seipel
The concept of association rules is well--known in data mining. But often redundancy and subsumption are not considered, and standard approaches produce thousands or even millions…
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…
Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity
Christoph Scholz, Martin Atzmueller, Gerd Stumme
Understanding the structures why links are formed is an important and prominent research topic. In this paper, we therefore consider the link prediction problem in face-to-face con…
On the Predictability of Talk Attendance at Academic Conferences
Christoph Scholz, Jens Illig, Martin Atzmueller +1
This paper focuses on the prediction of real-world talk attendances at academic conferences with respect to different influence factors. We study the predictability of talk attenda…