Program for stream Multiple classifier systems and applications

MB-05: Ensemble learning for business analytics
Stream: Multiple classifier systems and applications
Room: 203
Chair(s): Sureyya Ozogur-Akyuz

• Time series forecasting using bootstrap-based ensemble
  Donghwan Kim, Jun-Geol Baek
• Evaluating the short term effect of cross market discounts in purchases using neural networks
  Vera Miguéis, Ana Camanho, João Cunha
• Data-driven system analysis and inferential modelling
  Jian-Bo Yang, Dong-Ling Xu
• Regularized ensemble pruning by optimizing accuracy diversity trade-off
  Sureyya Ozogur-Akyuz

MD-05: Multiple classifier systems and applications
Stream: Multiple classifier systems and applications
Room: 203
Chair(s): Anteneh Ayanso

• Supervised learning of predictive cadres
  Alexander New, Kristin Bennett
• Learning from imbalanced big behaviour data
  Jellis Vanhoeyveld, David Martens
• Consensus similarity graph based on proximity relations
  Tulin Inkaya
• Machine learning-based multi-criteria inventory classification
  Anteneh Ayanso, Reena Yoogalingam