Ally S. Nyamawe

Orcid: 0000-0002-5210-259X

According to our database1, Ally S. Nyamawe authored at least 18 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
A Survey on Secure Refactoring.
SN Comput. Sci., October, 2024

Fake review detection techniques, issues, and future research directions: a literature review.
Knowl. Inf. Syst., September, 2024

A Novel Hybrid Machine Learning Model for Analyzing E-Learning Users' Satisfaction.
Int. J. Hum. Comput. Interact., August, 2024

DHMFRD - TER: a deep hybrid model for fake review detection incorporating review texts, emotions, and ratings.
Multim. Tools Appl., January, 2024

On the Impact of Refactorings on Software Attack Surface.
IEEE Access, 2024

2023
Research on mining software repositories to facilitate refactoring.
WIREs Data. Mining. Knowl. Discov., September, 2023

A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings.
Soft Comput., May, 2023

2022
Multitask Convolutional Neural Network for Crop Quality Vegetation Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
A Deep Hybrid Model for Recommendation by jointly leveraging ratings, reviews and metadata information.
Eng. Appl. Artif. Intell., 2021

A Survey on Renamings of Software Entities.
ACM Comput. Surv., 2021

2020
Feature requests-based recommendation of software refactorings.
Empir. Softw. Eng., 2020

2019
Automated Recommendation of Software Refactorings Based on Feature Requests.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

2018
Recommending Refactoring Solutions Based on Traceability and Code Metrics.
IEEE Access, 2018

A New Scheme for Citation Classification based on Convolutional Neural Networks.
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Citation Classification Using Multitask Convolutional Neural Network Model.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Citation Function Classification Based on Ontologies and Convolutional Neural Networks.
Proceedings of the Learning Technology for Education Challenges, 2018

Improving Citation Sentiment and Purpose Classification Using Hybrid Deep Neural Network Model.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

2014
A Proposed Framework for Development of a Visualizer Based on Memory Transfer Language (MTL).
CoRR, 2014


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