Michael Ibrahim

According to our database, Michael Ibrahim authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults.

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel

J. Comput. Inf. Sci. Eng., June, 2024

A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis.

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel, Weijun Xie

CoRR, 2024

Wasserstein Distributionally Robust Multiclass Support Vector Machine.

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel

CoRR, 2024

CUFE at StanceEval2024: Arabic Stance Detection with Fine-Tuned Llama-3 Model.

Michael Ibrahim

Proceedings of The Second Arabic Natural Language Processing Conference, 2024

CUFE at NADI 2024 shared task: Fine-Tuning Llama-3 To Translate From Arabic Dialects To Modern Standard Arabic.

Michael Ibrahim

Proceedings of The Second Arabic Natural Language Processing Conference, 2024

Fine-Grained Language-based Reliability Detection in Spanish New with Fine-Tuned Llama-3 Model.

Michael Ibrahim

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024

Parameter-Free Spanish Hope Speech Detection.

Michael Ibrahim

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024

2021

Maximal Linear Deadlock Avoidance Policies for Sequential Resource Allocation Systems: Characterization, Computation, and Approximation.

Michael Ibrahim, Spyros A. Reveliotis, Ahmed Nazeem

IEEE Trans. Autom. Control., 2021

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.

Kingsley Nweye, Zoltán Nagy, Sharada P. Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

Scheduling Techniques for Complex Resource Allocation Systems.

Michael Ibrahim

PhD thesis, 2020

2019

Throughput Maximization of Capacitated Re-Entrant Lines Through Fluid Relaxation.

Michael Ibrahim, Spyros A. Reveliotis

IEEE Trans Autom. Sci. Eng., 2019

Throughput maximization of complex resource allocation systems through timed-continuous-Petri-net modeling.

Michael Ibrahim, Spyros A. Reveliotis

Discret. Event Dyn. Syst., 2019

Throughput maximization of complex resource allocation systems through timed-continuous-Petri-net modeling (Extended Abstract).

Michael Ibrahim, Spyros A. Reveliotis

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018

Maximal Linear Deadlock Avoidance Policies for Complex Resource Allocation Systems.

Michael Ibrahim, Spyros A. Reveliotis

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016

Analytical solutions to the dynamic pricing problem for time-normalized revenue.

Michael Nawar Ibrahim, Amir F. Atiya

Eur. J. Oper. Res., 2016

2015

Statistical Arabic Grammar Analyzer.

Michael Nawar Ibrahim

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014

Fast and Robust Arabic Error Correction System.

Michael N. Nawar, Moheb M. Ragheb

Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing, 2014

Multi-heuristic Based Algorithm for Test Case Prioritization.

Michael N. Nawar, Moheb M. Ragheb

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Improving Arabic Tokenization and POS Tagging Using Morphological Analyzer.

Michael N. Nawar

Proceedings of the Advanced Machine Learning Technologies and Applications, 2014