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ORCIDMohammed Baydoun
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2020 – today
- 2026
[c10]Eitan Frachtenberg, Viyom Mittal, Mohammed Baydoun, Aditya Dhakal, Izzat El Hajj, Dejan S. Milojicic:
Variability-Guided Performance Optimization. ICPE 2026: 192-207- [c9]Viyom Mittal, Mohammed Baydoun, Alok Mishra, Pavana Prakash, Gourav Rattihalli, Aditya Dhakal, Eitan Frachtenberg, Izzat El Hajj, Michalis Faloutsos, Dejan S. Milojicic:
OASIS: Optimal Allocation Strategy for Inference Services in Cloud Environments. ICPE Companion 2026: 277-286 - [c8]Mohammad Sonji, Mohammed Baydoun, Safaa Diab, Amir Nassereldine, Pedro Bruel, Aditya Dhakal, Rolando Pablo Hong Enriquez, Gourav Rattihalli, Diman Zad Tootaghaj, Gallig Renaud, Barbara M. Chapman, Fatima K. Abu Salem, Eitan Frachtenberg, Dejan S. Milojicic, Izzat El Hajj:
Are We There Yet? Predicting if Executing Applications are Near Completion. ICPE 2026: 364-377 - 2025
- [c7]Mohammed Baydoun, Mohammad Sonji, Pedro Bruel, Dejan S. Milojicic, Eitan Frachtenberg, Izzat El Hajj:
Predicting Performance Variability. IPDPS (Workshops) 2025: 225-234 - [c6]Mohammad Sonji, Mohammed Baydoun, Aditya Dhakal, Gourav Rattihalli, Dejan S. Milojicic, Izzat El Hajj:
Serverless Graph Analytics on Multi-Instance GPU. IPDPS (Workshops) 2025: 787-794 - 2023
- [c5]Amir Nassereldine, Safaa Diab
, Mohammed Baydoun, Kenneth Leach, Maxim Alt, Dejan S. Milojicic, Izzat El Hajj:
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems. CCGrid 2023: 216-228 - [i1]Amir Nassereldine, Safaa Diab, Mohammed Baydoun, Kenneth Leach, Maxim Alt, Dejan S. Milojicic, Izzat El Hajj:
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems. CoRR abs/2304.01676 (2023) - 2021
- [j6]Lise Safatly, Mohammed Baydoun, Masoud Alipour, Ali Al-Takach, Karim Atab, Mohammed Al-Husseini, Ali El-Hajj, Hassan Ghaziri:
Detection and classification of landmines using machine learning applied to metal detector data. J. Exp. Theor. Artif. Intell. 33(2): 203-226 (2021) - [c4]Mohammed Baydoun, Hassan Ghaziri:
A Novel Feature Importance Based Layer to Improve Neural Networks. IJCNN 2021: 1-8 - 2020
- [j5]Mohammed Baydoun, Lise Safatly, Hassan Ghaziri, Ali El-Hajj:
Analysis of heart sound anomalies using ensemble learning. Biomed. Signal Process. Control. 62: 102019 (2020)
2010 – 2019
- 2018
- [j4]Mageda Sharafeddine, Hmayag Partamian, Mariette Awad, Mazen A. R. Saghir, Haitham Akkary, Hassan Artail, Hazem M. Hajj, Mohammed Baydoun:
Towards distributed acceleration of image processing applications using reconfigurable active SSD clusters: a case study of seismic data analysis. Int. J. High Perform. Comput. Netw. 11(4): 261-278 (2018) - [j3]Mohammed Baydoun, Hassan Ghaziri, Mohammed Al-Husseini:
CPU and GPU parallelized kernel K-means. J. Supercomput. 74(8): 3975-3998 (2018) - 2016
- [c3]Mohammed Baydoun, Mohammad Dawi, Hassan Ghaziri:
Enhanced parallel implementation of the K-Means clustering algorithm. ACTEA 2016: 7-11 - 2015
- [j2]Mohamad Adnan Al-Alaoui, Mohammed Baydoun, Elias Yaacoub:
Confluence of pattern recognition and signal processing: application of Al-Alaoui pattern recognition algorithm to digital filters design. IET Signal Process. 9(6): 498-505 (2015) - 2014
- [j1]Mohammed Baydoun, Mohamad Adnan Al-Alaoui:
Enhancing Stereo Matching With Classification. IEEE Access 2: 485-499 (2014) - 2013
- [c2]Mohammed Baydoun, Mohamad Adnan Al-Alaoui, Rony Ferzli:
Parallel edge detection based on digital differentiator approximation. ICCIT 2013: 371-375 - 2011
- [c1]Manal Jalloul, Mohammed Baydoun, Mohamad Adnan Al-Alaoui:
Gauss-Newton image registration with CUDA. ICECS 2011: 305-309
Coauthor Index
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