Meryem Jabloun
Orcid: 0000-0002-4824-4149
According to our database1,
Meryem Jabloun
authored at least 37 papers
between 2004 and 2023.
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Bibliography
2023
Rankformer: Leveraging Rank Correlation for Transformer-based Time Series Forecasting.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Improving of the interpretation of linear filtering preprocessing-based multiscale permutation entropy.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
STLformer: Exploit STL Decomposition and Rank Correlation for Time Series Forecasting.
Proceedings of the 31st European Signal Processing Conference, 2023
Local Legendre Polynomial Fitting-Based Preprocessing for Improving the Interpretation of Permutation Entropy in Stationary Time Series.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
On the Genuine Relevance of the Data-Driven Signal Decomposition-Based Multiscale Permutation Entropy.
Entropy, 2022
Are Deep Learning Models Practically Good as Promised? A Strategic Comparison of Deep Learning Models for Time Series Forecasting.
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
The Refined Composite Downsampling Permutation Entropy Is a Relevant Tool in the Muscle Fatigue Study Using sEMG Signals.
Entropy, 2021
The Impact of Linear Filter Preprocessing in the Interpretation of Permutation Entropy.
Entropy, 2021
Improvement of Statistical Performance of Ordinal Multiscale Entropy Techniques Using Refined Composite Downsampling Permutation Entropy.
Entropy, 2021
2020
On the Deterministic Estimaton of Multiscale Permutation Entropy of High-Order Autoregressive-Moving-Average Processes as a Function of ARMA Parameters.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
On the Statistical Properties of Multiscale Permutation Entropy: Characterization of the Estimator's Variance.
Entropy, 2019
Multiscale Permutation Entropy: Statistical Characterization on Autoregressive and Moving Average Processes.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
2018
On The Statistical Properties Of The Generalized Discrete Teager-Kaiser Energy Operator Applied To Uniformly Distributed Random Signals.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Theoretical Study of Multiscale Permutation Entropy on Finite-Length Fractional Gaussian Noise.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
A new generalization of the discrete Teager-Kaiser energy operator - application to biomedical signals.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Muscular activation intervals detection using gaussian mixture model GMM applied to sEMG signals.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Detection of sEMG muscle activation intervals using Gaussian Mixture Model and Ant Colony Classifier.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
Legendre polynomial modeling of time-varying delay applied to surface EMG signals - Derivation of the appropriate time-dependent CRBs.
Signal Process., 2015
Cramér-Rao bounds for particle size distribution estimation from multiangle dynamic light scattering.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
An improved Bayesian inversion method for the estimation of multimodal particle size distributions using multiangle Dynamic Light Scattering measurements.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
A reversible jump MCMC algorithm for Particle Size inversion in Multiangle Dynamic Light Scattering.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
A generating model of realistic synthetic heart sounds for performance assessment of phonocardiogram processing algorithms.
Biomed. Signal Process. Control., 2013
HRV spectral estimation based on constrained Gaussian modeling in the nonstationary case.
Biomed. Signal Process. Control., 2013
Theoretical insights into the Phase Rectified Averaging method and application to HRV analysis.
Proceedings of the 21st European Signal Processing Conference, 2013
2011
On the separation of heart sound components using a translated empirical mode decomposition.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011
Do the generalized correlation methods improve time delay estimation of the muscle fiber conduction velocity?
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011
2010
Phase-rectified signal averaging method applied to heart rate variability signals for assessment of the changes in sympathovagal balance during rest and tilt.
Proceedings of the 18th European Signal Processing Conference, 2010
2009
Proceedings of the 17th European Signal Processing Conference, 2009
2008
Estimation of the instantaneous amplitude and frequency of non-stationary short-time signals.
Signal Process., 2008
2007
A New Flexible Approach to Estimate the IA and IF of Nonstationary Signals of Long-Time Duration.
IEEE Trans. Signal Process., 2007
2005
Proceedings of the 13th European Signal Processing Conference, 2005
2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004