Program for stream Multiple Classifier Systems and Their Applications

MA-18: Ensemble Learning Applications for Business Analytics
Stream: Multiple Classifier Systems and Their Applications
Room: C112
Chair(s): Koen W. De Bock, Sureyya Ozogur-Akyuz

• Ensemble Methods in Dynamic Pricing
  Dirk Sierag
• Interpreting the Corporate Bankruptcy Forecasts: A Hybrid Bayesian Network Model
  Yi Cao, Xiaoquan Liu, Jia Zhai, Shan Hua
• Use of Social Media Big Data for Predicting the Credit Ratings of Companies
  Leonie Tabea Goldmann, Jonathan Crook, Raffaella Calabrese
• Enhancing Material Profiling in Automotive Supply Chains via Principal Component Analysis and K-means Clustering
  João Gonçalves, Paulo Cortez, Sameiro Carvalho

MB-18: Ensemble and Classifier Selection Algorithms and Applications
Stream: Multiple Classifier Systems and Their Applications
Room: C112
Chair(s): Sureyya Ozogur-Akyuz, Duygu Ucuncu

• Measurement of Spatial Quality in Public and Public Relations by Weighted Quality Measures: Case Study in Istanbul
  Melisa Caliskan-Demir, Ebru Erdönmez Dincer, Sureyya Ozogur-Akyuz
• Ensemble Feature Selection for Sentiment and Semantic Analysis
  Ceylan Demir, Sureyya Ozogur-Akyuz, Izzet Goksel
• Non-Asymptotic Uncertainty Bounds for Kernel Estimates
  Balázs Csáji, Ambrus Tamás, Krisztián Kis
• Data Driven Inventory Control Based on Stochastic Optimization Theory
  Ruud Teunter

MC-18: Optimization Based Ensemble Selections Methods
Stream: Multiple Classifier Systems and Their Applications
Room: C112
Chair(s): Sureyya Ozogur-Akyuz, Sureyya Ozogur-Akyuz

• Post-Separation Classifier Feature Reduction
  John Chinneck
• Ensemble Feature Selection by Accuracy Diversity Trade off
  Sureyya Ozogur-Akyuz, Pinar Karadayi Atas
• Novel Ensemble SVM Algorithm for Classification of Motor Imagery Task
  Duygu Ucuncu, Muhammad Ammar Ali, Pinar Karadayi Atas, Sureyya Ozogur-Akyuz
• Data Management System with Graphical User Interface for Multi-Group Classification
  Fatih Rahim, Metin Turkay

MD-18: Deep Learning Theories and Applications I
Stream: Multiple Classifier Systems and Their Applications
Room: C112
Chair(s): Sureyya Ozogur-Akyuz

• Classification by using CNN for EEG based measurements to Asses Creativity
  Muhammad Ammar Ali, Busra Eksi, Mohammad Shkok, Farouk Sallak, Sureyya Ozogur-Akyuz, Adil Deniz Duru, Alper Almelek
• Stock Market Prediction Using Deep Learning Techniques
  Rekha KS, Sabu MK
• Burger Sales Forecasting in Quick Service Restaurants Using Wide-Deep Learning Neural Network
  Alper Oner, Asmin Alev Aktas, Idris Atakli
• A Deep Learning Approach to Sentiment Analysis
  Tiny Du Toit, Nicolaas Maree, Lynette Drevin, Hennie Kruger

TA-18: Deep Learning Theories and Applications II
Stream: Multiple Classifier Systems and Their Applications
Room: C112
Chair(s): Sureyya Ozogur-Akyuz

• The Complexity and Performance of Sparse Neural Networks with Threshold Activation
  Junyoung Kim, Kyungsik Lee
• AlphaRouter - Detailed Routing Model Using Reinforcement Learning
  Upma Gandhi, erfan Aghaeekiasaraee, Ismail Bustany, William Swartz, laleh Behjat
• Deep-Learning-Based Dynamic Dispatching for a Highly Work-Loaded AMHS in a Semiconductor Fabrication
  Dae-Eun Lim, Haejoong Kim
• Accident Pattern Extraction from Qualitative and Quantitative Data Using Non-linear Principal Component Analysis (NLPCA) and K-means Clustering
  Krantiraditya Dhalmahapatra, Kritika Singh, Praveen Kumar, J Maiti