Payam M. Barnaghi — accepted AI-conference papers

2018

Segment Parameter Labelling in MCMC Mean-Shift Change Detection

Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi

ICASSP 2018accepted

This work addresses the problem of segmentation in time series data with respect to a statistical parameter of interest in Bayesian models. It is common to assume that the parameters are distinct within each segment. As such, many Bayesian change point detection models do not exploit the segment par…

Cited by 0 Source ↗Scholar ↗

2017

Data analysis as a web service: A case study using IoT sensor data

Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi

ICASSP 2017accepted

The advent of Internet of Things, has resulted in the development of infrastructure for capturing and storing data from domains ranging from smart devices (e.g. smartphones) to smart cities. This data is often available publicly and has enabled a wider range of data consumers to utilise such data se…

Cited by 0 Source ↗Scholar ↗