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 |