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ORCIDMaher Maalouf
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2020 – today
- 2024
[j11]Abdulrahim Ali
, Raja Jayaraman, Elie Azar, Maher Maalouf:
Maximizing supply chain performance leveraging machine learning to anticipate customer backorders. Comput. Ind. Eng. 194: 110414 (2024)- [j10]Razan Alkhanbouli, Amira Al-Aamri, Maher Maalouf, Kamal Taha, Andreas Henschel, Dirar Homouz:
Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1436-1444 (2024) - 2023
- [c7]Moustafa Abdelwanis, Shahmir Khan, Ammar Hummieda, Shayaan Syed, Karim Moawad, Maher Maalouf, Herbert F. Jelinek:
Artificial Neural Network for Predicting Cardiovascular Autonomic Reflex Tests from Inflammatory Markers. CinC 2023: 1-4 - [c6]Alaa Alqaryuti, Nadeen Faraj, Mohamed Abdelmagid, Maher Maalouf, Herbert F. Jelinek:
Oxidative Stress Markers Identify Cardiac Autonomic Neuropathy Progression: Applying Machine Learning Methods. CinC 2023: 1-4 - [c5]Hind Abdulla, Maher Maalouf, Herbert F. Jelinek:
Machine Learning for the Prediction of Depression Progression from Inflammation Markers. EMBC 2023: 1-4 - [c4]Sara Zaidan, Firda Rahmadani, Maher Maalouf, Herbert F. Jelinek:
Oxidative Stress Biomarkers in Predictive Multi-Class Modeling of Depression Severity with Diabetes Mellitus, Cardiovascular Disease and Hypertension Comorbidity. EMBC 2023: 1-4 - 2021
- [c3]Eman Ouda, Maher Maalouf, Andrei Sleptchenko:
Machine Learning and Optimization for Predictive Maintenance based on Predicting Failure in the Next Five Days. ICORES 2021: 192-199
2010 – 2019
- 2019
- [j9]Amira Al-Aamri, Kamal Taha, Yousof Al-Hammadi, Maher Maalouf, Dirar Homouz:
Analyzing a co-occurrence gene-interaction network to identify disease-gene association. BMC Bioinform. 20(1): 70:1-70:15 (2019) - [c2]Maher Maalouf, Naji Khoury, Dirar Homouz, Kyriaki Polychronopoulou:
Accurate Prediction of Gas Compressibility Factor using Kernel Ridge Regression. ACTEA 2019: 1-4 - 2018
- [j8]Maher Maalouf, Dirar Homouz, Theodore B. Trafalis:
Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods. Comput. Intell. 34(1): 161-174 (2018) - 2014
- [j7]Maher Maalouf, Cameron A. MacKenzie, Sridhar Radakrishnan, Mary C. Court:
A new fuzzy logic approach to capacitated dynamic Dial-a-Ride problem. Fuzzy Sets Syst. 255: 30-40 (2014) - [j6]Maher Maalouf, Mohammad Siddiqi:
Weighted logistic regression for large-scale imbalanced and rare events data. Knowl. Based Syst. 59: 142-148 (2014) - [j5]Maher Maalouf, Dirar Homouz:
Kernel ridge regression using truncated newton method. Knowl. Based Syst. 71: 339-344 (2014) - 2013
- [c1]Hani H. Saleh, Baker S. Mohammad, Maher Maalouf:
A high-throughput, contention-free low-power, Radix-2 1k, 2k, 4k and 8k-point fast fourier transform engine using 28nm standard-cell process. DTIS 2013: 184-185 - 2011
- [j4]Maher Maalouf, Theodore B. Trafalis, Indra Adrianto:
Kernel logistic regression using truncated Newton method. Comput. Manag. Sci. 8(4): 415-428 (2011) - [j3]Maher Maalouf, Theodore B. Trafalis:
Robust weighted kernel logistic regression in imbalanced and rare events data. Comput. Stat. Data Anal. 55(1): 168-183 (2011) - [j2]Maher Maalouf:
Logistic regression in data analysis: an overview. Int. J. Data Anal. Tech. Strateg. 3(3): 281-299 (2011) - [j1]Maher Maalouf, Theodore B. Trafalis:
Rare events and imbalanced datasets: an overview. Int. J. Data Min. Model. Manag. 3(4): 375-388 (2011)
Coauthor Index
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