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Assef Jafar
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2020 – today
- 2023
- [j10]Tarek Saati, Chadi Albitar, Assef Jafar:
An Improved Path Planning Algorithm for Indoor Mobile Robots in Partially-Known Environments. Autom. Control. Comput. Sci. 57(1): 1-13 (2023) - [i4]Rawad Melhem, Assef Jafar, Oumayma Al Dakkak:
Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation. CoRR abs/2305.15758 (2023) - [i3]Rawad Melhem, Assef Jafar, Riad Hamadeh:
Improving Deep Attractor Network by BGRU and GMM for Speech Separation. CoRR abs/2308.03332 (2023) - 2022
- [j9]Muhammad Abdelhadie Al-Malla, Assef Jafar, Nada Ghneim:
Image captioning model using attention and object features to mimic human image understanding. J. Big Data 9(1): 20 (2022) - [j8]Medyan AbdelHamid, Assef Jafar, Yasser Rahal:
Levantine hate speech detection in twitter. Soc. Netw. Anal. Min. 12(1): 121 (2022) - 2021
- [j7]Soulaiman Moualla, Khaldoun Khorzom, Assef Jafar:
Improving the Performance of Machine Learning-Based Network Intrusion Detection Systems on the UNSW-NB15 Dataset. Comput. Intell. Neurosci. 2021: 5557577:1-5557577:13 (2021) - [j6]Nadim Arubai, Omar Hamdoun, Assef Jafar:
Building a Real-Time 2D Lidar Using Deep Learning. J. Robotics 2021: 6652828:1-6652828:7 (2021) - 2020
- [j5]Nour Nassar, Assef Jafar, Yasser Rahhal:
Multi-criteria collaborative filtering recommender by fusing deep neural network and matrix factorization. J. Big Data 7(1): 34 (2020) - [j4]Nour Nassar, Assef Jafar, Yasser Rahhal:
Correction to: Multi-criteria collaborative filtering recommender by fusing deep neural network and matrix factorization. J. Big Data 7(1): 45 (2020) - [j3]Nour Nassar, Assef Jafar, Yasser Rahhal:
A novel deep multi-criteria collaborative filtering model for recommendation system. Knowl. Based Syst. 187 (2020)
2010 – 2019
- 2019
- [j2]Ibrahim Mousa Al-Zuabi, Assef Jafar, Kadan Aljoumaa:
Predicting customer's gender and age depending on mobile phone data. J. Big Data 6: 18 (2019) - [j1]Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa:
Customer churn prediction in telecom using machine learning in big data platform. J. Big Data 6: 28 (2019) - [i2]Ibrahim Mousa Al-Zuabi, Assef Jafar, Kadan Aljoumaa:
Predicting customer's gender and age depending on mobile phone data. CoRR abs/1903.06756 (2019) - [i1]Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa:
Customer churn prediction in telecom using machine learning and social network analysis in big data platform. CoRR abs/1904.00690 (2019)
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