Elham Khabiri — accepted AI-conference papers

2023

SiWare: Contextual Understanding of Industrial Data for Situational Awareness

Anuradha Bhamidipaty, Elham Khabiri, Bhavna Agrawal, Yingjie Li

IJCAI 2023poster

SiWare is an AI-powered Knowledge Discovery system, that helps unlock new insights and accelerates data-driven decisions with contextualized Industrial data. SiWare links and fuses heterogeneous data sources with an industry semantic model leveraging multiple AI capabilities to provide system-wide v…

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2016

Correcting Forecasts with Multifactor Neural Attention

Matthew Riemer, Aditya Vempaty, Flavio Calmon, Fenno Heath, Richard Hull, Elham Khabiri

ICML 2016poster

Automatic forecasting of time series data is a challenging problem in many industries. Current forecast models adopted by businesses do not provide adequate means for including data representing external factors that may have a significant impact on the time series, such as weather, national events,…

Cited by 43 Source ↗PDF ↗Scholar ↗