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Mona Nashaat
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A comprehensive review of tools for exploratory analysis of tabular industrial datasets
A Ghosh, M Nashaat, J Miller, S Quader, C Marston
Visual Informatics 2 (4), 235-253, 2018
562018
Hybridization of active learning and data programming for labeling large industrial datasets
M Nashaat, A Ghosh, J Miller, S Quader, C Marston, JF Puget
2018 IEEE International Conference on Big Data (Big Data), 46-55, 2018
272018
Asterisk: Generating large training datasets with automatic active supervision
M Nashaat, A Ghosh, J Miller, S Quader
ACM Transactions on Data Science 1 (2), 1-25, 2020
202020
M-Lean: An end-to-end development framework for predictive models in B2B scenarios
M Nashaat, A Ghosh, J Miller, S Quader, C Marston
Information and Software Technology 113, 131-145, 2019
122019
Improving news popularity estimation via weak supervision and meta-active learning
M Nashaat, J Miller
92021
WeSAL: Applying active supervision to find high-quality labels at industrial scale
M Nashaat, A Ghosh, J Miller, S Quader
92020
Detecting Security Vulnerabilities in Object-Oriented PHP Programs
M Nashaat, K Ali, J Miller
2017 IEEE 17th International Working Conference on Source Code Analysis and …, 2017
92017
The current state of software license renewals in the IT industry
A Ghosh, M Nashaat, J Miller
Information and software technology 108, 139-152, 2019
82019
Interpretation of structural preservation in low-dimensional embeddings
A Ghosh, M Nashaat, J Miller, S Quader
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2227-2240, 2020
72020
Semi-supervised ensemble learning for dealing with inaccurate and incomplete supervision
M Nashaat, A Ghosh, J Miller, S Quader
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-33, 2021
62021
VisExPreS: A visual interactive toolkit for user-driven evaluations of embeddings
A Ghosh, M Nashaat, J Miller, S Quader
IEEE Transactions on Visualization and Computer Graphics 28 (7), 2791-2807, 2020
62020
Context-based evaluation of dimensionality reduction algorithms—Experiments and statistical significance analysis
A Ghosh, M Nashaat, J Miller, S Quader
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-40, 2021
52021
Comprehensive study on machine learning-based container scheduling in cloud
W Moussa, M Nashaat, W Saber, R Rizk
International Conference on Advanced Machine Learning Technologies and …, 2022
42022
TabReformer: Unsupervised Representation Learning for Erroneous Data Detection
M Nashaat, A Ghosh, J Miller, S Quader
ACM/IMS Transactions on Data Science 2 (3), 1-29, 2021
32021
LTE downlink scheduling with soft policy gradient learning
M Nashaat, IE Shaalan, H Nashaat
International Conference on Advanced Machine Learning Technologies and …, 2022
22022
Online Customer Engagement as A Mediating Variable Between Social-Media Marketing and Customer Satisfaction: Using Big Data Analytics and Natural Language Processing
MM Ibrahim, M Nashaat
مجلة الدراسات التجارية المعاصرة 8 (14), 332-365, 2022
12022
Automated server-side model for recognition of security vulnerabilities in scripting languages
RF Abdel-Kader, M Nashaat, MI Habib, HMK Mahdi
International Journal of Electrical and Computer Engineering (IJECE) 10 (6 …, 2020
12020
Utilizing Deep Reinforcement Learning for Resource Scheduling in Virtualized Clouds
M Nashaat, H Nashaat
International Work-Conference on Bioinformatics and Biomedical Engineering …, 2023
2023
Classification of Erroneous Cell Data
PM Mona Nashaat, Shaikh Quader
US Patent US Patent 20,220,051,126, 2022
2022
Data Analysis based, Noisy Labeled and Unlabeled Datapoint Detection and Rectification for Machine-Learning
DCR Mona Nashaat Ali Elmowafy, Shaikh Quader
US Patent US Patent 20,210,357,776, 2021
2021
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