Gcinizwe Dlamini

Orcid: 0000-0002-4578-5011

According to our database1, Gcinizwe Dlamini authored at least 15 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Attention and Concentration for Software Developers.
IEEE Access, 2023

Deep Learning Based Approach for Human Intention Estimation in Lower-Back Exoskeleton.
Proceedings of the Advances in Information and Communication, 2023

Are CK Metrics Enough to Detect Design Patterns?
Proceedings of the Advances in Information and Communication, 2023

Leveraging Transformer and Graph Neural Networks for Variable Misuse Detection.
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

Detecting Design Patterns in Android Applications with CodeBERT Embeddings and CK Metrics.
Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022
Meta-analytical comparison of energy consumed by two sorting algorithms.
Inf. Sci., 2022

Towards Predicting Architectural Design Patterns: A Machine Learning Approach.
Comput., 2022

Metrics for Software Process Quality Assessment in the Late Phases of SDLC.
Proceedings of the Intelligent Computing, 2022

A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Bridging the Domain Gap for Stance Detection for the Zulu Language.
Proceedings of the Intelligent Systems and Applications, 2022

Review: Use of EEG on Measuring Stress Levels When Painting and Programming.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Towards understanding the impact of mental states on software development using EEG.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021
DGM: a data generative model to improve minority class presence in anomaly detection domain.
Neural Comput. Appl., 2021

Using Tools for the Analysis of the Mental Activity of Programmers.
Proceedings of the Brain Informatics - 14th International Conference, 2021

2019
A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019


  Loading...