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Mohamed Lazaar
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- affiliation: Abdelmalek Essaâdi University, Tetuan, Morocco
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2020 – today
- 2024
- [j15]Rime Bouali, Oussama Mahboub, Mohamed Lazaar:
Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographs. Intelligenza Artificiale 18(2): 205-217 (2024) - [j14]Mohammed Chemmakha, Omar Habibi, Mohamed Lazaar:
Towards a Deep Learning Approach for IoT Attack Detection Based on a New Generative Adversarial Network Architecture and Gated Recurrent Unit. J. Netw. Syst. Manag. 32(4): 96 (2024) - [j13]Karima Hassini, Safae Khalis, Omar Habibi, Mohammed Chemmakha, Mohamed Lazaar:
An end-to-end learning approach for enhancing intrusion detection in Industrial-Internet of Things. Knowl. Based Syst. 294: 111785 (2024) - [j12]Soufiane El Mrabti, Jaouad el-Mekkaoui, Adil Hachmoud, Mohamed Lazaar:
An explainable machine learning model for sentiment analysis of online reviews. Knowl. Based Syst. 302: 112348 (2024) - 2023
- [j11]Omar Habibi, Mohammed Chemmakha, Mohamed Lazaar:
Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection. Eng. Appl. Artif. Intell. 118: 105669 (2023) - [j10]Yassine Afoudi, Mohamed Lazaar, Safae Hmaidi:
An enhanced recommender system based on heterogeneous graph link prediction. Eng. Appl. Artif. Intell. 124: 106553 (2023) - [j9]Mbarek Marwan, Feda AlShahwan, Yassine Afoudi, Abdelkarim Ait Temghart, Mohamed Lazaar:
Leveraging artificial intelligence and mutual authentication to optimize content caching in edge data centers. J. King Saud Univ. Comput. Inf. Sci. 35(9): 101742 (2023) - [c20]Redwane Nesmaoui, Mouad Louhichi, Mohamed Lazaar:
A Collaborative Filtering Movies Recommendation System based on Graph Neural Network. ANT/EDI40 2023: 456-461 - [c19]Mouad Louhichi, Redwane Nesmaoui, Mbarek Marwan, Mohamed Lazaar:
Shapley Values for Explaining the Black Box Nature of Machine Learning Model Clustering. ANT/EDI40 2023: 806-811 - [c18]Ouissale Zaoui Seghroucheni, Mohammed Al Achhab, Mohamed Lazaar:
Systematic Review on the Conversion of Tacit Knowledge. CiSt 2023: 123-128 - [c17]Safae Hmaidi, Mohamed Lazaar, Abdellah Chehri, Yasser El Alami El Madani, Rachid Saadane:
Link Prediction Using Graph Neural Networks for Recommendation Systems. KES 2023: 4284-4294 - 2022
- [c16]Niama Assia El Joudi, Mohammed Bennani Othmani, Farid Bourzgui, Oussama Mahboub, Mohamed Lazaar:
Review of the role of Artificial Intelligence in dentistry: Current applications and trends. EUSPN/ICTH 2022: 173-180 - [e5]Mohamed Lazaar, Claude Duvallet, Abdellah Touhafi, Mohammed Al Achhab:
BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, Rabat, Morocco, March 17-18, 2021. Lecture Notes in Networks and Systems 489, Springer 2022, ISBN 978-3-031-07968-9 [contents] - 2021
- [j8]Yassine Afoudi, Mohamed Lazaar, Mohammed Al Achhab:
Intelligent recommender system based on unsupervised machine learning and demographic attributes. Simul. Model. Pract. Theory 107: 102198 (2021) - [j7]Yassine Afoudi, Mohamed Lazaar, Mohammed Al Achhab:
Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network. Simul. Model. Pract. Theory 113: 102375 (2021) - [c15]Redwane Nesmaoui, Mouad Louhichi, Mohamed Lazaar:
A Hybrid Machine Learning Method for Movies Recommendation. BDIoT 2021: 517-528 - [c14]Yassine Afoudi, Mohamed Lazaar, Mohammed Al Achhab, Hicham Omara:
Improved Content Based Filtering Using Unsupervised Machine Learning on Movie Recommendation. BDIoT 2021: 543-555 - [c13]Zahra Berradi, Mohamed Lazaar, Oussama Mahboub, Hicham Omara:
A Comprehensive Review of Artificial Intelligence Techniques in Financial Market. CIST 2021: 367-371 - [c12]Soumaya Amri, Mohamed Naoum, Mohamed Lazaar, Mohammed Al Achhab:
Performing of users' road safety at intelligent transportation systems. CIST 2021: 461-465 - 2020
- [j6]Fadoua Oudouar, Mohamed Lazaar, Zaoui El Miloud:
A novel approach based on heuristics and a neural network to solve a capacitated location routing problem. Simul. Model. Pract. Theory 100: 102064 (2020) - [c11]Soufiane El Mrabti, Mohamed Lazaar, Mohammed Al Achhab, Hicham Omara:
Novel Convex Polyhedron Classifier for Sentiment Analysis. Cloudtech 2020: 1-5
2010 – 2019
- 2019
- [j5]Najoua Hrich, Mohamed Lazaar, Mohamed Khaldi:
Improving Cognitive Decision-Making into Adaptive Educational Systems through a Diagnosis Tool based on the Competency Approach. Int. J. Emerg. Technol. Learn. 14(7): 226-235 (2019) - [j4]Najoua Hrich, Mohamed Lazaar, Mohamed Khaldi:
MAPSS: An Intelligent Architecture for the Pedagogical Support. Int. J. Emerg. Technol. Learn. 14(14): 19-30 (2019) - [j3]Najoua Hrich, Mohamed Lazaar, Mohamed Khaldi:
Problematic of the Assessment Activity within Adaptive E-Learning Systems. Int. J. Emerg. Technol. Learn. 14(17): 133-142 (2019) - [j2]Najoua Hrich, Mohamed Lazaar, Mohamed Khaldi:
MAPSS an Intelligent Architecture for the Pedagogical Support: Experiment, Results & Discussion. Int. J. Emerg. Technol. Learn. 14(21): 61-79 (2019) - [c10]Khalid A. Al-Afandy, Hicham Omara, Mohamed Lazaar, Mohammed Al Achhab:
Artificial Neural Networks Optimization and Convolution Neural Networks to Classifying Images in Remote Sensing: A Review. BDIoT 2019: 7:1-7:8 - [c9]Hamza Chahidi, Hicham Omara, Mohamed Lazaar, Mohammed Al Achhab:
Impact of Neural Network Architectures on Arabic Sentiment Analysis. BDIoT 2019: 12:1-12:6 - [c8]Monir Ech-Chouyyekh, Hicham Omara, Mohamed Lazaar:
Scientific paper classification using Convolutional Neural Networks. BDIoT 2019: 13:1-13:6 - [c7]Outman El Hichami, Mohamed Naoum, Mohammed Al Achhab, Badr Eddine El Mohajir, Mohamed Lazaar:
Visual Language for Specifying Verification Properties. BDIoT 2019 - [e4]Mohamed Lazaar, Claude Duvallet, Mohammed Al Achhab, Oussama Mahboub, Hassan Silkan:
BDIoT'19: The 4th International Conference On Big Data and Internet of Things, Rabat, Morocco, October 23-24, 2019. ACM 2019, ISBN 978-1-4503-7240-4 [contents] - 2018
- [c6]Soufiane El Mrabti, Mohammed Al Achhab, Mohamed Lazaar:
Comparison of Feature Selection Methods for Sentiment Analysis. BDCA 2018: 261-272 - [e3]Youness Tabii, Mohamed Lazaar, Mohammed Al Achhab, Nourddine Enneya:
Big Data, Cloud and Applications - Third International Conference, BDCA 2018, Kenitra, Morocco, April 4-5, 2018, Revised Selected Papers. Communications in Computer and Information Science 872, Springer 2018, ISBN 978-3-319-96291-7 [contents] - 2017
- [c5]Yassine Al-Amrani, Mohamed Lazaar, Kamal Eddine Elkadiri:
Sentiment Analysis using supervised classification algorithms. BDCA 2017: 61:1-61:8 - [c4]Hicham Omara, Mohamed Lazaar, Youness Tabii:
Classification of Breast Cancer with Improved Self-Organizing Maps. BDCA 2017: 73:1-73:6 - [e2]Mohamed Lazaar, Youness Tabii, Mohamed Chrayah, Mohammed Al Achhab:
Proceedings of the 2nd international Conference on Big Data, Cloud and Applications, BDCA 2017, Tetouan, Morocco, March 29-30, 2017. ACM 2017, ISBN 978-1-4503-4852-2 [contents] - 2016
- [j1]Zakariae En-Naimani, Mohamed Lazaar, Mohamed Ettaouil:
Architecture Optimization Model for the Probabilistic Self-Organizing Maps and Speech Compression. Int. J. Comput. Intell. Appl. 15(2): 1650007:1-1650007:18 (2016) - [e1]Mohammed Al Achhab, Mohamed Lazaar, Youness Tabii:
Proceedings of the International Conference on Big Data, Cloud and Applications: Selected Papers, Tetuan, Morocco, May 25-26, 2015. CEUR Workshop Proceedings 1580, CEUR-WS.org 2016 [contents] - 2015
- [c3]Zakariae En-Naimani, Mohamed Lazaar, Mohamed Ettaouil:
Architecture Optimization Model for the Probabilistic Self-organizing Maps. BDCA 2015: 8-15 - 2014
- [c2]Zakariae En-Naimani, Mohamed Lazaar, Mohamed Ettaouil:
Architecture optimization model for the probabilistic self-organizing maps and classification. SITA 2014: 1-5 - [c1]R. Kaidi, Mohamed Lazaar, Mohamed Ettaouil:
Neural network apply to predict aircraft trajectory for conflict resolution. SITA 2014: 1-6
Coauthor Index
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last updated on 2024-11-11 21:26 CET by the dblp team
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