Program for stream Deep Learning and Applications

MA-05: Optimization for Deep Learning
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s): Sureyya Ozogur-Akyuz

• An Optimization based Framework for Sign Prediction in Signed Social Networks
  Mukul Gupta
• Alternating Optimization framework for Sparse Simultaneous Component Analysis Based on Data Integration
  Rosember Guerra-Urzola, Juan Vera, Katrijn Van Deun, Klaas Sijtsma
• Using Second-Order Conic Programming as an Embedded Feature Selection Algorithm
  Sureyya Ozogur-Akyuz, Muhammad Ammar Ali, Buse Cisil Guldogus
• Modeling Ensemble of CNNs via Semi-infinite Programming
  Melisa Caliskan-Demir, Sureyya Ozogur-Akyuz

MB-05: Deep Learning Theory and Applications
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s): Melisa Caliskan-Demir

• Comparative study of the Isolation Forest and Autoencoder models
  Elena Tiukhova, Bart Baesens, Monique Snoeck
• Challenges of Time Series Forecasting Models
  Xin James He
• Capturing complexity over space and time via deep learning: An application to real-time delay prediction in railways
  Marijn Verschelde, Léon Sobrie, Bart Roets, Veerle Hennebel
• VoxelNet for 3D Linear Objects Detection in Point Clouds
  Povilas Treigys, Jonas Stankevičius

MC-05: Applications of Deep Learning in Industry
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s): Sureyya Ozogur-Akyuz

• High-frequency Stock Price Movement Prediction Using Machine Learning and Sentiment Analysis
  Hakan Gökdaş, Onur Kaya, Emre Çimen
• A deep reinforcement learning approach for solving the technician routing problem with stochastic repair requests
  Dai Trong Pham, Gudrun Kiesmuller
• Analyzing customer behaviour & shopping journey in retail by image recognition in artificial intelligence
  GOZDE GENC, Gizem Caliskan, Elif Aras
• Solar Power Forecasting Using LSTM Networks: Comparative Analysis
  Jolita Bernatavičienė, Vaiva Narkutė

MD-05: Deep Learning in Healthcare
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s): Melisa Caliskan-Demir

• Prediction model for the spread of the COVID-19 outbreak in the global environment
  Ron Hirschprung, Chen Hajaj
• Repositioning Digital Therapeutics Products by Integrating Biological and Technological Networks
  Eunji Jeon, So Young Sohn
• Toward a Novel Data-Driven Healthcare Decision-Making with Deep Learning
  Lina Siltala-Li, Eeva Vilkkumaa
• Mining potential frauds in the health insurance industry - a case of East Africa
  Sajid Siraj, Salome Khvistani