AG DANK Herbsttagung 2019

Date: October 10th and 11th, 2019

Location: Dortmund, FOM University of Applied Sciences (October 10th) and TU Dortmund (October 11th)

Local Organization: Karsten Lübke and Claus Weihs

Focus Theme: Music Data Analysis

Registration: There is no conference fee. If you want to attend to the meeting please write an email to karsten.luebke@fom.de.


October 10th, 2019

FOM Dortmund,  Lissaboner Allee 7, 44269 Dortmund, https://www.fom.de/hochschulzentren/studium-in-dortmund.html#!acc=anfahrt-und-parken/accid=15884

Preliminary Program (Update 09-19):

  • 13:00-13:30 Reception
  • 13:30-13:40 Bianca Krol, Kai Externbrink: Welcome and Opening
  • 13:40-14:05 Daniel Stoller: Music information retrieval models that generalise across different tasks
  • 14:05-14:30 Jeffrey Miller: Music Recommendation Enhancement Through Inclusion of Autonomously Extracted Hierarchical Musical Feature Sets
  • 14:30-14:55 Cornelia Metzig: Audio similarity for recommendation systems – feature selection vs. mutual proximity
  • 14:55-15:10 Coffee Break
  • 15:10-15:35 Philipp Ginsel: Music Genre Classification with Structural Complexity Features and k-Nearest Neighbor Algorithms
  • 15:35-16:00 Frederik Heerde: Comparing Fuzzy Rule Based Approaches for Music Genre Classification
  • 16:00-16:25 Igor Vatolkin: A new method to derive features describing instrumental texture in polyphonic music pieces
  • 16:25-16:50 Fabian Ostermann: Evaluating Classification Methods: Music Database Generator based on JFugue
  • 16:50-17:20 Break
  • 17:20-17:45 Karin Sanne: Detection of roaming reselling devices using decision tree classifier
  • 17:45-18:10 Christian Hennig: Beyond subjective and objective in statistics (new)
  • 18:10-19:00 Ursula Garczarek: Societal responsibility of data scientists: How to make it more discussable

October 11th, 2019

TU Dortmund, IBZ, Emil-Figge-Str. 59, 44227 Dortmund, http://www.aaa.tu-dortmund.de/cms/de/AAA/Internationales_Begegnungszentrum_IBZ/Kontakt_und_Anfahrt/index.html

Preliminary Program:

  • 09:00-09:25 Coffee
  • 09:25-09:30 Katja Ickstadt: Welcome and Opening (new)
  • 09:30-09:55 Amor Messaoud: The Cosine Depth Distribution Classifier for Directional Data
  • 09:55-10:20 Christine Müller: Detection of anomalous sequences in crack data of a bridge monitoring
  • 10:25-10:50 Imene Kooli: Economically designed Bayesian np control charts using dual sample sizes for long-run processes
  • 10:50-11:20 Break
  • 11:20-11:45 Ramzi Telmoudi: A Nonconformity Ratio Based Desirability Function for Capability Assessment
  • 11:45-12:10 Pascal Kerschke: Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco
  • 12:10-12:35 Matthias Gehrke: Statistical Computing and Data Science in Introductory Statistics
  • 12:35-12:45 Closing