no code implementations • 30 Jun 2022 • Amin Rasekh, Ian Eisenberg
Natural language generation models are computer systems that generate coherent language when prompted with a sequence of words as context.
no code implementations • 19 Jul 2021 • Amitoj Singh, Jingshu Chen, Lihao Zhang, Amin Rasekh, Ilana Golbin, Anand Rao
The proposed process is demonstrated through an assessment of a deep hate speech detection model.
1 code implementation • 30 Jan 2019 • Sarin Chandy, Amin Rasekh
Variational autoencoder is a powerful deep generative model with variational inference.
no code implementations • 31 May 2018 • Sarin E. Chandy, Amin Rasekh, Zachary A. Barker, M. Ehsan Shafiee
The proposed model is applied to a simulated cyberattack detection problem involving a drinking water distribution system subject to programmable logic controller hacks, malicious actuator activation, and deception attacks.
no code implementations • 1 Jul 2014 • Amin Rasekh, Kelly Brumbelow
This study develops a dynamic decision support model that adaptively simulates the time-varying emergency environment and tracks changing best health protection response measures at every stage of an emergency in real-time.
no code implementations • 30 Jan 2014 • Amin Rasekh, Chien-An Chen, Yan Lu
In this project, we design a robust activity recognition system based on a smartphone.