Workshop date: December 7th, 2021

New Zealand Time (NZDT/UTC+13) Central Europe Time (CET/UTC+01) Session type Title Speaker/Authors Affiliation Repo
2:00-2:30 pm 2:00-2:30 am Welcome LITSA 2021 Workshop introduction Florent Forest LIPN (Université Sorbonne Paris Nord) / LMIS2 (EPFL)  
2:30-2:54 pm 2:30-2:54 am Paper EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid (S09202) Yogesh Kulkarni, Sayf Hussain, Krithi Ramamritham, Nivethitha Somu Pune Institute of Computer Technology, Pune, India  
2:54-3:18 pm 2:54-3:18 am Paper Forecasting of Reservoir Inflow by the Combination of Deep Learning and Conventional Machine Learning (DM358) Topon Paul, Sreeharsha Raghavendra, Ken Ueno, Fang Ni, Hiromasa Shin, Kaneharu Nishino, Ryusei Shingaki Toshiba Corporation, Japan  
3:18-3:42 pm 3:18-3:42 am Paper Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder (S09201) Susumu Naito, Yasunori Taguchi, Kouta Nakata, Yuichi Kato Corporate R&D Center, Toshiba Corporation, Japan  
3:42-4:06 pm 3:42-4:06 am Paper Attention Augmented Convolutional Transformer for Tabular Time-series (S09204) Sharath M Shankaranarayana, Davor Runje Airt, India  
4:06-4:30 pm 4:06-4:30 am Paper Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis (S09205) Patrick Owusu, Armelle Brun, Shengrui Wang University of Lorraine, France  
4:30-6:30 pm 4:30-6:30 am Coffee break on Gather Town