Schedule

Schedule

                            Time              Description
8:00-8:10 Opening Remarks
8:10-9:00 Invited Talk by Manik Varma (Microsoft Research India)
  The Extremes of Machine Learning
9:00-9:30 Paper Session 1
  Temporal Approach to Opinion Fraud Detection
9:30-10:00 Coffee Break
10:30-11:30 Invited Talk by Saso Dzeroski (IJS Ljubljana)
11:30-12:00 Paper Session 2
  Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
  Fall Detection from Physical Activity Monitoring Data
12:00-13:00 Lunch Break
13:00-14:00 Invited Talk by Geoff Webb (Monash University)
  Learning in a dynamic and ever changing world
14:00-14:30 Paper Session 3
  Learn to Combine Modalities in Multimodal Deep Networks
14:30-15:00 Coffee Break
15:00-15:55 Invited Talk by Latifur Khan (University of Texas at Dallas)
  Data to Knowledge: Modernizing Political Event Data for Big Data Social Science Research
15:55-16:55 Paper Session 4
  GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
  Challenges and Experiences in Building an Interactive Enterprise-Scale B2B Recommender System with Natural Language Support
16:55-17:00 Final Remarks