Schedule

Schedule

                            Time              Description
8:00-8:10 Opening Remarks
8:10-9:00 Keynote 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
  Rachna Rani and Durga Toshniwal.
9:30-10:00 Coffee Break
10:00-11:00 Keynote Talk by Saso Dzeroski (IJS Ljubljana)
  Multi-target prediction on data streams
11:00-12:00 Paper Session 2
  Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
  Dan Li, Dacheng Chen, Jonathan Goh and See-Kiong Ng
  Fall Detection from Physical Activity Monitoring Data
  Dharmitha Ajerla, Sazia Mahfuz and Farhana Zulkernine.
12:00-13:00 Lunch Break
13:00-14:00 Keynote 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
  Kuan Liu, Yanen Li, Ning Xu and Premkumar Natarajan.
14:30-15:00 Coffee Break
15:00-15:55 Keynote 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
  Patrick Chen, Si Si, Yang Li, Ciprian Chelba and Cho-Jui Hsieh.
  Challenges and Experiences in Building an Interactive Enterprise-Scale B2B Recommender System with Natural Language Support
  Vassilios Vassiliadis, Michalis Vlachos, Thomas Parnell, Celestine Duenner, Kathrin Kathrin Wardatzky and Kubilay Atasu.
16:55-17:00 Final Remarks