Program, 12 August 2019
Session 1 | |||
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8:30–9:20 | Keynote “Internet of Things Including Your Clothes: Smart Textiles for Activity Recognition” Jingyuan Cheng University of Science and Technology of China |
Abstract | |
9:20–9:40 | “Scalable Deployment of AI Time-series Models for IoT” Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell and Seshu Tirupathi IBM Research – Ireland |
Paper | |
9:40–10:00 | “Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning” Tailai Wen and Roy Keyes Arundo Analytics |
Paper | |
10:00–10:30 | Coffee break | ||
Session 2 | |||
10:30–11:20 | Keynote “Building IoT Manufacturing Solutions with AI” Zhi Hu Wang IBM Research China |
Abstract | |
11:20–11:35 | “AutoSensing: Automated Feature Engineering and Learning for Classification Task of Time-Series Sensor Signals” Arijit Ukil and Soma Bandyopadhyay TCS Research and Innovation Tata Consultancy Services, India |
Paper | |
11:35–11:50 | “Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning” Han Liu1, Xianchao Zhang2, Xiaotong Zhang1, Qimai Li1 and Xiao-Ming Wu1 1The Hong Kong Polytechnic University, Hong Kong 2Dalian University of Technology, China |
Paper | |
11:50–12:10 | “Unearthing and Exploiting Latent Semantics behind DNS Domains for Deep Network Traffic Analysis” Franck Le, Mudhakar Srivatsa and Dinesh Verma IBM T.J. Watson Research Center, Yorktown Heights, USA |
Paper | |
12:10–12:30 | “Rule Applicability on RDF Triplestore Schemas” Paolo Pareti1, George Konstantinidis1, Timothy Norman1 and Murat Şensoy2 1University of Southampton, UK 2Özyeğin University, Istanbul, Turkey |
Paper |