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2020 – today
- 2024
[j5]Farah Oubelkas
, Lahcen Moumoun, Abdellah Jamali:
An Efficient Approach Based on Attention ConvMixer Model for Lung Segmentation. SN Comput. Sci. 5(5): 650 (2024)- 2023
- [c7]Hajar Alla, Lahcen Moumoun, Youssef Balouki:
Machine Learning-Based Prediction of Flight Punctuality and Delays. CiSt 2023: 171-178 - [c6]Farah Oubelkas, Lahcen Moumoun, Abdellah Jamali:
Lung Segmentation using a ConvMixer-Based Framework. CiSt 2023: 211-214 - [c5]Zakaria Benhaili, Youness Abouqora, Youssef Balouki, Lahcen Moumoun:
Enhancing Respiratory Diseases Detection Using GAN Augmentation and Transfer Learning. CiSt 2023: 221-227 - [c4]Youness Abouqora, Zakaria Benhaila, Lahcen Moumoun:
An Efficient Appraoch based Representation Learning and CRF Models for Unsupervised 3D Shape Co-segmentation. CiSt 2023: 245-250 - 2022
- [j4]Zakaria Benhaili, Youness Abouqora, Youssef Balouki, Lahcen Moumoun:
Basic Activity Recognition from Wearable Sensors Using a Lightweight Deep Neural Network. J. ICT Stand. 10(2): 241-260 (2022) - 2021
- [j3]Hajar Alla, Lahcen Moumoun, Youssef Balouki:
A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction. Sci. Program. 2021: 5558918:1-5558918:12 (2021) - [c3]Youness Abouqora, Omar Herouane, Lahcen Moumoun, Taoufiq Gadi:
A Hybrid CNN-CRF Inference Models for 3D Mesh Segmentation. CIST 2021: 296-301
2010 – 2019
- 2018
- [j2]Omar Herouane, Lahcen Moumoun, Taoufiq Gadi, Mohamed Chahhou:
Labelling and evaluation of 3D objects segmentation using multiclass boosting algorithm. Int. J. Comput. Vis. Robotics 8(5): 509-525 (2018) - 2016
- [c2]Omar Herouane, Lahcen Moumoun, Taoufiq Gadi, Mohamed Chahhou:
An automatic framework for 3D objects-parts learning. CIST 2016: 481-486 - 2014
- [j1]Mohamed Chahhou, Lahcen Moumoun, Mohamed El Far, Taoufiq Gadi:
Segmentation of 3D Meshes Usingp-Spectral Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1687-1693 (2014) - 2011
- [c1]Lahcen Moumoun, Mohamed Chahhou, Mohamed El Far, Abdelkrim Haqiq, Taoufiq Gadi:
3D Object Retrieval Using a Global-Partial Analogy and the Bayesian Approach. SITIS 2011: 314-321
Coauthor Index
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