3 citations · 5 across the 7 of their papers we have counts for
9 papers
Efficient Quantile Tracking Using an Oracle
Hugo L. Hammer, Anis Yazidi, Michael A. Riegler +1
For incremental quantile estimators the step size and possibly other tuning parameters must be carefully set. However, little attention has been given on how to set these values in…
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy
Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri +3
In the current paper, we introduce a parametric data-driven model for functional near-infrared spectroscopy that decomposes a signal into a series of independent, rescaled, time-sh…
Estimating Tukey Depth Using Incremental Quantile Estimators
Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
The concept of depth represents methods to measure how deep an arbitrary point is positioned in a dataset and can be seen as the opposite of outlyingness. It has proved very useful…
A general representation of dynamical systems for reservoir computing
Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang +5
Dynamical systems are capable of performing computation in a reservoir computing paradigm. This paper presents a general representation of these systems as an artificial neural net…
Joint Tracking of Multiple Quantiles Through Conditional Quantiles
Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
Estimation of quantiles is one of the most fundamental real-time analysis tasks. Most real-time data streams vary dynamically with time and incremental quantile estimators document…
Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations
Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
The Exponentially Weighted Average (EWA) of observations is known to be state-of-art estimator for tracking expectations of dynamically varying data stream distributions. However,…