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20162022
most citedA Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals

76 citations · 122 across the 24 of their papers we have counts for

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16 papers · 1 filter

eess.SP2022

Complexity-based Financial Stress Evaluation

Hongjian Xiao, Yao Lei Xu, Danilo P. Mandic

Financial markets typically exhibit dynamically complex properties as they undergo continuous interactions with economic and environmental factors. The Efficient Market Hypothesis…

eess.SP2021

Bayesian autoregressive spectral estimation

Alejandro Cuevas, Sebastián López, Danilo Mandic +1

Autoregressive (AR) time series models are widely used in parametric spectral estimation (SE), where the power spectral density (PSD) of the time series is approximated by that of…

eess.SP2020

A Probabilistic Spectral Analysis of Multivariate Real-Valued Nonstationary Signals

Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic

A class of multivariate spectral representations for real-valued nonstationary random variables is introduced, which is characterised by a general complex Gaussian distribution. In…

eess.SP2020

Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models

Thiernithi Variddhisai, Danilo Mandic

The concept of a random process has been recently extended to graph signals, whereby random graph processes are a class of multivariate stochastic processes whose coefficients are…

eess.SP2019

Graph Theory and Metro Traffic Modelling

Bruno Scalzo Dees, Anthony G. Constantinides, Danilo P. Mandic

In this article we demonstrate how graph theory can be used to identify those stations in the London underground network which have the greatest influence on the functionality of t…

eess.SP20196 cited

A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables

Bruno Scalzo Dees, Anh-Huy Phan, Danilo P. Mandic

Real-world signals typically span across multiple dimensions, that is, they naturally reside on multi-way data structures referred to as tensors. In contrast to standard ``flat-vie…