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2020 – today
- 2024
[c10]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. ACL (Findings) 2024: 214-230- [c9]Kilichbek Haydarov, Xiaoqian Shen, Avinash Madasu, Mahmoud Salem, Li-Jia Li, Gamaleldin Elsayed, Mohamed Elhoseiny:
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations. ECCV (75) 2024: 18-36 - [i5]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. CoRR abs/2403.00952 (2024) - [i4]Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin
, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz:
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. CoRR abs/2405.03594 (2024) - 2023
- [j3]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Mahmoud Salem, Ahmed Elkaseer, Tobias Müller, Steffen G. Scholz:
On the Development of a Reconfigurable Platform for the Control of Multiple Collaborative Robots from a Software Engineering Perspective. FTC (1) 2023: 74-91 - [i3]Kilichbek Haydarov, Xiaoqian Shen, Avinash Madasu, Mahmoud Salem, Jia Li, Gamaleldin Elsayed, Mohamed Elhoseiny:
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations. CoRR abs/2308.16349 (2023) - 2022
- [j2]Mahmoud Salem, Ahmed Elkaseer, Islam A. M. El-Maddah, Khaled Y. Youssef, Steffen G. Scholz, Hoda K. Mohamed:
Non-Invasive Data Acquisition and IoT Solution for Human Vital Signs Monitoring: Applications, Limitations and Future Prospects. Sensors 22(17): 6625 (2022) - [c7]Mahmoud Salem, Ahmed Elkaseer, Andrew Rees, Steffen G. Scholz:
A Hybrid Learning-Driven Computer Vision Framework for Reverse Engineering via Enhanced 3D Shape Reconstruction. FTC (2) 2022: 848-861 - [i2]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. CoRR abs/2207.09408 (2022) - [i1]Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Gumbel-Softmax Selective Networks. CoRR abs/2211.10564 (2022)
2010 – 2019
- 2019
- [b1]Mahmoud Salem:
Mining Event Traces from Real-time Systems for Anomaly Detection. University of Waterloo, Ontario, Canada, 2019 - [c6]Mahmoud Salem, Gonzalo Carvajal, Tong Liu, Sebastian Fischmeister:
Assessing the Robustness of Arrival Curves Models for Real-Time Systems. FORMATS 2019: 23-40 - [c5]Mahmoud Salem, Osama Arafa, Ghada A. Abdel Aziz, Mahmoud Amin:
An Improved Dynamic Control-based Hardware-in-the-Loop Laboratory Testing for Permanent Magnet Synchronous Motors. IAS 2019: 1-7 - [c4]Yousry Atia, Mahmoud Salem, Mustafa Abu-Zaher, Emad El-Zohri, Farag Abo-Elyousr:
Novel DC voltage controller for single-stage grid connected PV system. IEEA 2019: 133-138 - [c3]Steffen G. Scholz, Ahmed Elkaseer, Mahmoud Salem, Veit Hagenmeyer:
Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devices. ISAT (1) 2019: 160-172 - 2018
- [j1]Gonzalo Carvajal, Mahmoud Salem, Nirmal Benann, Sebastian Fischmeister:
Enabling Rapid Construction of Arrival Curves From Execution Traces. IEEE Des. Test 35(4): 23-30 (2018) - 2016
- [c2]Mahmoud Salem, Mark Crowley, Sebastian Fischmeister:
Anomaly Detection Using Inter-Arrival Curves for Real-Time Systems. ECRTS 2016: 97-106 - 2014
- [c1]Mohammad Mehdi Zeinali Zadeh, Mahmoud Salem, Neeraj Kumar, Greta Cutulenco, Sebastian Fischmeister:
SiPTA: Signal processing for trace-based anomaly detection. EMSOFT 2014: 6:1-6:10
Coauthor Index
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