Stephen McLaughlin — accepted AI-conference papers

2022

Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination

Abdullah Abdulaziz, Jianxin Zhou, Angela Di Fulvio, Yoann Altmann, Stephen McLaughlin

ICASSP 2022accepted

We address the problem of pulse shape discrimination (PSD) for radiation sources characterization by leveraging a Gaussian mixture variational autoencoder (GMVAE). When using PSD to characterize radiation sources, the number of emission sources and types of pulses to be classified is usually known.…

Cited by 0 Source ↗Scholar ↗

2015

A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation

Sébastien Combrexelle, Herwig Wendt, Patrice Abry, Nicolas Dobigeon, Stephen McLaughlin, Jean-Yves Tourneret

ICASSP 2015accepted

Multifractal analysis is a powerful tool used in signal processing. Multifractal models are essentially characterized by two parameters, the multifractality parameter c2 and the integral scale A (the time scale beyond which multifractal properties vanish). Yet, most applications concentrate on estim…

Cited by 3 Source ↗Scholar ↗