Larbi Boubchir
Orcid: 0000-0002-5668-6801Affiliations:
- Paris 8 University Vincennes-Saint-Denis, LIASD Research Lab, Saint-Denis, France
- Northumbria University, Department of Computer and Information Sciences, Newcastle upon Tyne, UK (former)
- University of Strasbourg, ICube, Illkirch, France (former)
- Qatar University, College of Engineering, Doha, Qatar (former)
- University of Caen, GREYC Lab, Caen, France (former, PhD)
According to our database1,
Larbi Boubchir
authored at least 78 papers
between 2004 and 2023.
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Bibliography
2023
A Cascade CNN Model based on Adaptive Learning Rate Thresholding for Reliable Face Recognition.
Proceedings of the IEEE International Conference on Big Data, 2023
Classification of Left/Right Hand and Foot Movements from EEG using Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023
2022
Efficient multiplier-less parametric integer approximate transform based on 16-points DCT for image compression.
Multim. Tools Appl., 2022
Multim. Syst., 2022
Informatica (Slovenia), 2022
Deep Learning-Based Speech Recognition System using Blockchain for Biometric Access Control.
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Artificial Intelligence for Automatic and Optimized Generation of Healthcare Planning.
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
On the Use of Conventional Neural Networks for COVID-19 Detection in CT-Scan Images: A Comparative Study and Performance Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022
2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
Palm vein recognition based on competitive coding scheme using multi-scale local binary pattern with ant colony optimization.
Pattern Recognit. Lett., 2020
Multim. Tools Appl., 2020
A Novel Approach Based on Blockchain to Enhance Security with Dynamic Policy Updating.
Proceedings of the 7th International Conference on Internet of Things: Systems, 2020
2019
Autoregressive Modeling Based Empirical Mode Decomposition (EMD) for Epileptic Seizures Detection Using EEG Signals.
Traitement du Signal, 2019
Multispectral palmprint recognition using Pascal coefficients-based LBP and PHOG descriptors with random sampling.
Neural Comput. Appl., 2019
Mach. Vis. Appl., 2019
Human ear recognition based on local multi-scale LBP features with city-block distance.
Multim. Tools Appl., 2019
Multim. Tools Appl., 2019
J. Circuits Syst. Comput., 2019
Int. J. Biom., 2019
IET Image Process., 2019
Reconstruction of catadioptric omnidirectional images using dual alternating total variation minimization.
Evol. Syst., 2019
Neural Net-Based Approach to EEG Signal Acquisition and Classification in BCI Applications.
Comput., 2019
2018
Face-iris multi-modal biometric system using multi-resolution Log-Gabor filter with spectral regression kernel discriminant analysis.
IET Biom., 2018
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018
Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems, 2018
2017
Erratum to: An improved multimodal signal-image compression scheme with application to natural images and biomedical data.
Multim. Tools Appl., 2017
An improved multimodal signal-image compression scheme with application to natural images and biomedical data.
Multim. Tools Appl., 2017
Gait recognition based on wavelet features with spectral regression kernel discriminant analysis.
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017
A review of feature extraction for EEG epileptic seizure detection and classification.
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017
2016
Neurocomputing, 2016
Human Ear recognition based on Multi-scale Local Binary Pattern descriptor and KL divergence.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016
Robust model-free gait recognition by statistical dependency feature selection and Globality-Locality Preserving Projections.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016
Finger-Knuckle-print recognition using dynamic thresholds completed local binary pattern descriptor.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016
2D log-Gabor filters for competitive coding-based multi-spectral palmprint recognition.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016
Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter.
Proceedings of the 6th European Workshop on Visual Information Processing, 2016
Algorithms of control by thought in robotics: Active and passive BMIs based on prior knowledge.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
2015
Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Time-frequency image descriptors-based features for EEG epileptic seizure activities detection and classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
EEG error potentials detection and classification using time-frequency features for robot reinforcement learning.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Undecimated wavelet-based Bayesian denoising in mixed Poisson-Gaussian noise with application on medical and biological images.
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Proceedings of the 26th International Conference on Microelectronics, 2014
Multi-scale shift local binary pattern based-descriptor for finger-knuckle-print recognition.
Proceedings of the 26th International Conference on Microelectronics, 2014
Haralick feature extraction from time-frequency images for epileptic seizure detection and classification of EEG data.
Proceedings of the 26th International Conference on Microelectronics, 2014
Unsupervised white matter fiber tracts clustering methodology with application on brain MRI data.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals.
Proceedings of the IEEE International Conference on Acoustics, 2014
Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals.
Proceedings of the International Conference on Control, 2014
2013
Wavelet Denoising Based on the MAP Estimation Using the BKF Prior With Application to Images and EEG Signals.
IEEE Trans. Signal Process., 2013
2012
A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals.
EURASIP J. Adv. Signal Process., 2012
A novel multimodal compression scheme based on a spiral insertion function in the wavelet domain.
Proceedings of the 11th International Conference on Information Science, 2012
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach.
Proceedings of the 11th International Conference on Information Science, 2012
Alibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals.
Proceedings of the 11th International Conference on Information Science, 2012
On the Selection of Time-Frequency Features for Improving the Detection and Classification of Newborn EEG Seizure Signals and Other Abnormalities.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities.
Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011
EM algorithm-based hyperparameters estimator for bayesian image denoising using BKF prior.
Proceedings of the Image Processing: Algorithms and Systems IX, 2011
2010
Proceedings of the International Conference on Image Processing, 2010
2008
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008
2007
Approches bayésiennes pour le débruitage des images dans le domaine des transformées multi-échelles parcimonieuses orientées et non orientées. (Bayesian approaches for image denoising in the oriented and non oriented parcimony multi-scale transformations).
PhD thesis, 2007
Reply to comments of A. Achim, E. Kuruoglu, A. Bezerianos and P. Tsakalides on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior".
Pattern Recognit. Lett., 2007
Using multiple uncertain examples and adaptative fuzzy reasoning to optimize image characterization.
Knowl. Based Syst., 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior.
Pattern Recognit. Lett., 2006
2005
Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities.
IEEE Trans. Image Process., 2005
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005
Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior.
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior.
Proceedings of the 17th International Conference on Pattern Recognition, 2004