Technical Program

SiG-DML_L3: Applications of Machine Learning

Session Type: Lecture
Time: Wednesday, August 31, 16:10 - 17:50
Location: Atlantic 3
Session Chair: Saikat Chatterjee, KTH Royal Institute of Technology
 
SiG-DML_L3.1: DISTRIBUTED KALMAN FILTERS FOR RELATIVE FORMATION CONTROL OF MULTI-AGENT SYSTEMS
Martijn van der Marel, Raj Thilak Rajan, Delft university of technology, Netherlands
 
SiG-DML_L3.2: PERSONALIZED SLEEP STATE CLASSIFICATION VIA LEARNED FACTOR GRAPHS
Bar Rubinstein, Yoav Filin, Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Nariman Farsad, Ryerson University, Canada
 
SiG-DML_L3.3: ROBUST FEATURE LEARNING FOR REMAINING USEFUL LIFE ESTIMATION USING SIAMESE NEURAL NETWORKS
Gurkan Aydemir, Bursa Technical University, Turkey; Kamran Paynabar, Georgia Institute of Technology, United States; Burak Acar, Bogazici University, Turkey
 
SiG-DML_L3.4: GROUP EQUIVARIANT NETWORKS FOR LEAKAGE DETECTION IN VACUUM BAGGING
Christoph Brauer, Dirk Lorenz, Lionel Tondji, Technical University of Braunschweig, Germany
 
SiG-DML_L3.5: CONDITIONAL VARIATIONAL GRAPH AUTOENCODER FOR AIR QUALITY FORECASTING
Esther Rodrigo Bonet, Tien Huu Do, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium; Xuening Qin, Wilfried Philips, Ghent University, Belgium; Jelle Hofman, Valerio Panzica La Manna, imec, Belgium