Search Results for author: Anahita Khojandi

Found 3 papers, 0 papers with code

Hidden Markov models are recurrent neural networks: A disease progression modeling application

no code implementations28 Sep 2020 Matthew Baucum, Anahita Khojandi, Theodore Papamarkou

To allow for this, we formulate a special case of recurrent neural networks (RNNs), which we name hidden Markov recurrent neural networks (HMRNNs), and prove that each HMRNN has the same likelihood function as a corresponding discrete-observation HMM.

Hidden Markov models as recurrent neural networks: an application to Alzheimer's disease

no code implementations4 Jun 2020 Matt Baucum, Anahita Khojandi, Theodore Papamarkou

Hidden Markov models (HMMs) are commonly used for disease progression modeling when the true patient health state is not fully known.

Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors

no code implementations4 Nov 2019 Yiyang Wang, Neda Masoud, Anahita Khojandi

In this paper we propose a novel observer-based method to improve the safety and security of connected and automated vehicle (CAV) transportation.

Anomaly Detection

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