| 2025 | SMC | Enhancing CNNs for AES Side-Channel Key Recovery using Random Search-based Neural Architecture Search. | Amina Amrouche, Larbi Boubchir, Sad Yahiaoui |
| 2024 | AICCSA | Improving User Experience for AI Chatbots through LLM Models. | Feriel Khennouche, Youssef Elmir, Nabil Djebari, Larbi Boubchir |
| 2024 | HSI | Probabilistic Decision Tree Ensembles for Detecting Infectious Diseases using Routine Blood Tests. | Selestine Melchane, Youssef Elmir, Farid Kacimi, Larbi Boubchir |
| 2023 | AICCSA | Deep Face Recognition based on an Optimized Deep Neural Network using ZFNet. | Said Si Kaddour, Larbi Boubchir, Boubaker Daachi |
| 2022 | ATSIP | Deep Learning for Detection of Prostate Tumors by Microscopic Cells and MRI. | Imen Labiadh, Hassene Seddik, Larbi Boubchir |
| 2021 | ICONIP | Designing Multiplier-Less JPEG Luminance Quantisation Matrix. | Nabila Brahimi, Toufik Bouden, Larbi Boubchir, Tahar Brahimi |
| 2015 | ICASSP | Time-frequency image descriptors-based features for EEG epileptic seizure activities detection and classification. | Larbi Boubchir, Somaya Al-Madeed, Ahmed Bouridane, Arab Ali Chrif |
| 2015 | ICIP | Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images. | Larbi Boubchir, Somaya Al-Madeed, Ahmed Bouridane, Arab Ali Chrif |
| 2014 | CoDIT | Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals. | Larbi Boubchir, Somaya Al-Madeed, Ahmed Bouridane |
| 2014 | ICASSP | On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals. | Larbi Boubchir, Somaya Al-Madeed, Ahmed Bouridane |
| 2014 | ICIP | Unsupervised white matter fiber tracts clustering methodology with application on brain MRI data. | Larbi Boubchir, Franois Rousseau |
| 2012 | ICONIP | On the Selection of Time-Frequency Features for Improving the Detection and Classification of Newborn EEG Seizure Signals and Other Abnormalities. | Boualem Boashash, Larbi Boubchir |
| 2011 | IPAS | EM algorithm-based hyperparameters estimator for bayesian image denoising using BKF prior. | Larbi Boubchir, Bruno Durning, ric Petit |
| 2010 | ICIP | Multivariate statistical modeling of images in sparse multiscale transforms domain. | Larbi Boubchir, Amine Nat-Ali, ric Petit |
| 2007 | ICASSP | Morphological Diversity and Sparse Image Denoising. | Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubchir |
| 2005 | ICIP | Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior. | Larbi Boubchir, Jalal Fadili |
| 2004 | ICPR | Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior. | Larbi Boubchir, Mohamed-Jalal Fadili, Daniel Bloyet |