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ORCIDGcinizwe Dlamini
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2020 – today
- 2023
[j4]Rozaliya Amirova, Gcinizwe Dlamini
, Anastasiia Repryntseva, Giancarlo Succi, Herman Tarasau:
Attention and Concentration for Software Developers. IEEE Access 11: 96196-96205 (2023)- [c11]Gcinizwe Dlamini, Usman Ahmad, Lionel Randall Kharkrang, Vladimir Ivanov:
Detecting Design Patterns in Android Applications with CodeBERT Embeddings and CK Metrics. AIST 2023: 267-280 - [c10]Vitaly Romanov, Gcinizwe Dlamini, Aidar Valeev, Vladimir Ivanov:
Leveraging Transformer and Graph Neural Networks for Variable Misuse Detection. ENASE 2023: 727-733 - [c9]Gcinizwe Dlamini, Swati Megha, Sirojiddin Komolov:
Are CK Metrics Enough to Detect Design Patterns? FICC (2) 2023: 11-24 - [c8]Valeriya Zanina, Gcinizwe Dlamini, Vadim Palyonov:
Deep Learning Based Approach for Human Intention Estimation in Lower-Back Exoskeleton. FICC (2) 2023: 164-182 - [i2]Ch Muhammad Awais, Wei Gu, Gcinizwe Dlamini, Zamira Kholmatova, Giancarlo Succi:
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction. CoRR abs/2306.15369 (2023) - 2022
- [j3]Sirojiddin Komolov, Gcinizwe Dlamini, Swati Megha, Manuel Mazzara:
Towards Predicting Architectural Design Patterns: A Machine Learning Approach. Comput. 11(10): 151 (2022) - [j2]Gcinizwe Dlamini, Firas Jolha, Zamira Kholmatova, Giancarlo Succi:
Meta-analytical comparison of energy consumed by two sorting algorithms. Inf. Sci. 582: 767-777 (2022) - [c7]Gcinizwe Dlamini, Karina Singatullina, Giancarlo Succi:
Towards understanding the impact of mental states on software development using EEG. AICCSA 2022: 1-2 - [c6]Nataliya Tupikina, Gcinizwe Dlamini, Giancarlo Succi:
Review: Use of EEG on Measuring Stress Levels When Painting and Programming. ICEIS (2) 2022: 374-380 - [c5]Gcinizwe Dlamini, Imad Eddine Ibrahim Bekkouch, Adil Khan, Leon Derczynski:
Bridging the Domain Gap for Stance Detection for the Zulu Language. IntelliSys (1) 2022: 312-325 - [c4]Ch Muhammad Awais, Wei Gu, Gcinizwe Dlamini, Zamira Kholmatova, Giancarlo Succi:
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction. ISDA (3) 2022: 139-149 - [c3]Gcinizwe Dlamini, Shokhista Ergasheva, Zamira Kholmatova, Artem V. Kruglov, Andrey Sadovykh, Giancarlo Succi, Anton Timchenko, Xavier Zelada Vasquez, Evgeny Zouev:
Metrics for Software Process Quality Assessment in the Late Phases of SDLC. SAI (1) 2022: 639-655 - [i1]Gcinizwe Dlamini, Imad Eddine Ibrahim Bekkouch, Adil Khan, Leon Derczynski:
Bridging the Domain Gap for Stance Detection for the Zulu language. CoRR abs/2205.03153 (2022) - 2021
- [j1]Gcinizwe Dlamini, Muhammad Fahim:
DGM: a data generative model to improve minority class presence in anomaly detection domain. Neural Comput. Appl. 33(20): 13635-13646 (2021) - [c2]Rozaliya Amirova, Gcinizwe Dlamini, Vladimir Ivanov, Sergey Masyagin, Aldo Spallone, Giancarlo Succi, Herman Tarasau:
Using Tools for the Analysis of the Mental Activity of Programmers. BI 2021: 321-337
2010 – 2019
- 2019
- [c1]Gcinizwe Dlamini, Rufina Galieva, Muhammad Fahim:
A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection. AICCSA 2019: 1-5
Coauthor Index
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