Mona Nashaat

According to our database, Mona Nashaat authored at least 15 papers between 2017 and 2025.

Collaborative distances:

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

2025

Refining software defect prediction through attentive neural models for code understanding.

Mona Nashaat, James Miller

J. Syst. Softw., 2025

2024

Towards Efficient Fine-Tuning of Language Models With Organizational Data for Automated Software Review.

Mona Nashaat, James Miller

IEEE Trans. Software Eng., September, 2024

2022

VisExPreS: A Visual Interactive Toolkit for User-Driven Evaluations of Embeddings.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader

IEEE Trans. Vis. Comput. Graph., 2022

Interpretation of Structural Preservation in Low-Dimensional Embeddings.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader

IEEE Trans. Knowl. Data Eng., 2022

Semi-Supervised Ensemble Learning for Dealing with Inaccurate and Incomplete Supervision.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

ACM Trans. Knowl. Discov. Data, 2022

2021

Context-Based Evaluation of Dimensionality Reduction Algorithms - Experiments and Statistical Significance Analysis.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader

ACM Trans. Knowl. Discov. Data, 2021

TabReformer: Unsupervised Representation Learning for Erroneous Data Detection.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

Trans. Data Sci., 2021

Improving News Popularity Estimation via Weak Supervision and Meta-active Learning.

Mona Nashaat, James Miller

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Asterisk: Generating Large Training Datasets with Automatic Active Supervision.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

Trans. Data Sci., 2020

WeSAL: Applying Active Supervision to Find High-quality Labels at Industrial Scale.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

M-Lean: An end-to-end development framework for predictive models in B2B scenarios.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader, Chad Marston

Inf. Softw. Technol., 2019

The current state of software license renewals in the I.T. industry.

Aindrila Ghosh, Mona Nashaat, James Miller

Inf. Softw. Technol., 2019

2018

A comprehensive review of tools for exploratory analysis of tabular industrial datasets.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader, Chad Marston

Vis. Informatics, 2018

Hybridization of Active Learning and Data Programming for Labeling Large Industrial Datasets.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader, Chad Marston, Jean-François Puget

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Detecting Security Vulnerabilities in Object-Oriented PHP Programs.

Mona Nashaat, Karim Ali, James Miller

Proceedings of the 17th IEEE International Working Conference on Source Code Analysis and Manipulation, 2017