Program for stream Analytics and Learning

WB-19: Machine Learning and Explainability
Stream: Analytics and Learning
Room: 20.30 SR 0.019
Chair(s): Ralph Grothmann, Davina Rauhaus

• Unsupervised Machine Learning For Scenario Reduction
  Janosch Ortmann, Julien Keutchayan, Mike Hewitt, Walter Rei
• A combined measure based on diversification and accuracy gains for forecast selection in forecast combination
  Felix Schulz, Nathalie Balla, Thomas Setzer
• Models for Explainable Optimization
  Michael Hartisch, Marc Goerigk
• Application of Efficient Resampling Algorithms to Imbalanced Semiconductor Wafer Bin Classification Problem
  You-Jin Park

WC-19: Integrating Machine Learning and Optimization
Stream: Analytics and Learning
Room: 20.30 SR 0.019
Chair(s): Kevin Tierney

• Real-Time Multiserver System with Single Joint Queue Ample Repair Teams and Preemptive Priorities Working in General Regime
  Joseph Kreimer
• Artificial Intelligence for Managing Operational Capacities: A Deep Demand Response Program
  Gunther Gust, Marie-Louise Arlt, Dirk Neumann
• Learning to Solve a Stochastic Orienteering Problem with Time Windows
  Kevin Tierney, Fynn Schmitt-Ulms, André Hottung, Meinolf Sellmann

WE-19: Forecasting
Stream: Analytics and Learning
Room: 20.30 SR 0.019
Chair(s): Sven F. Crone

• Predicting Sales with Temporal Fusion Transformers
  Nicki Lena Kämpf
• Demand Forecasting: Deep, Multivariate, and Practical - Exploring the development, implementation and utilization of a retail demand forecasting support system.
  Leif Feddersen, Catherine Cleophas
• Graph Based Time Series Analysis
  Tobias Hofmann, Christoph Helmberg
• Forecasting with Neural Network Ensembles - controlling diversity through weight initialization
  Sven F. Crone

TB-19: Behavioral Analytics
Stream: Analytics and Learning
Room: 20.30 SR 0.019
Chair(s): Jochen Gönsch, Thomas Setzer

• Analyzing customer shopping experience by AI power
  GOZDE GENC, Gizem Caliskan, Elif Aras
• Learning equilibria in double auctions via self-play
  Nils Kohring, Fabian Raoul Pieroth, Matthias Oberlechner, Martin Bichler
• A Decision Support System Including Feedback to Sensitize for Certainty Interval Size
  Nathalie Balla
• ML^2-Choice Based Optimization
  Fiona Sauerbier, Knut Haase, Jannis Kück, Martin Spindler