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Program for stream Analytics, Data Science, and Forecasting
Tuesday
Wednesday
Wednesday, 10:45-12:15
WB-06: Predictive Analytics: Forecast Combination & Hyperparameter Optimization
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s):
Sven F. Crone
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Shifting Forecast Combination Weights Estimated on Subsamples towards Full Sample Weight Determination
Veronika Wachslander -
Generating Artificial Training Errors for Forecast Combination Based on Shrunk Sample Covariance Matrices
André Konersmann, Thomas Setzer -
Utility-Driven Hyperparameter Optimization for Tabular Data GANs via Ranking-and-Selection
Mick Molitor
Wednesday, 13:30-15:00
WC-06: Predictive Analytics: Forecasting I
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s):
Thomas Setzer
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Machine Learning for Lead-Time Demand Estimation: Addressing Data Sparsity in Spare Parts Inventory Control
Florian E. Sachs, Robin Reiners, Ulrich Thonemann -
Intermittent demand forecasting with count panel data models
Katja Nieberle -
Conditional volatility modeling and financial risk measurement via recurrent neual networks
Theo Berger
Wednesday, 16:30-18:00
WE-06: Predictive Analytics: Forecasting II
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s):
Sven F. Crone, Ralph Grothmann
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Feature selection for Neural Network Forecasting - an empirical evaluation of partial dependence, pertubation and gradient techniques for railway revenue forecasting
Sven F. Crone -
Model Building and Forecasting with Recurrent Neural Networks
Hans Georg Zimmermann, Nico Beck, Julian Stengl
Thursday
Thursday, 8:45-10:15
TA-06: Prescriptive Analytics: Sales, Logistics and Industrial Analytics
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s):
Ralph Grothmann, Thomas Setzer
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Machine predictive maintenance to prevent defects using Decision tree and Random forest
Pavee Siriruk -
Discounted Sales of Expiring Groceries: The Challenge of Forecasting Demand
David Winkelmann -
Uncovering Factors Affecting Manufacturing Quality: Causal Discovery from Embedded Features in Manufacturing Data
Won Sang Lee