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Program for stream Deep Learning and Applications
Sunday
Monday
Monday, 8:30-10:00
MA-05: Optimization for Deep Learning
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s):
Sureyya Ozogur-Akyuz
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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
Monday, 10:30-12:00
MB-05: Deep Learning Theory and Applications
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s):
Melisa Caliskan-Demir
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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
Monday, 12:30-14:00
MC-05: Applications of Deep Learning in Industry
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s):
Sureyya Ozogur-Akyuz
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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
Monday, 14:30-16:00
MD-05: Deep Learning in Healthcare
Stream: Deep Learning and Applications
Room: E (building Main lobby)
Chair(s):
Melisa Caliskan-Demir
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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