A Lightweight Deep Autoencoder-Based Approach for Unsupervised Anomaly Detection. - Gcinizwe Dlamini; Rufina Galieva; Muhammad Fahim (AICCSA, 2019)

Using Tools for the Analysis of the Mental Activity of Programmers. - Rozaliya Amirova; Gcinizwe Dlamini; Vladimir Ivanov 001; Sergey Masyagin; Aldo Spallone; Giancarlo Succi; Herman Tarasau (BI, 2021)

DGM: a data generative model to improve minority class presence in anomaly detection domain. - Gcinizwe Dlamini; Muhammad Fahim (Neural Comput. Appl., 2021)

Towards understanding the impact of mental states on software development using EEG. - Gcinizwe Dlamini; Karina Singatullina; Giancarlo Succi (AICCSA, 2022)

Review: Use of EEG on Measuring Stress Levels When Painting and Programming. - Nataliya Tupikina; Gcinizwe Dlamini; Giancarlo Succi (ICEIS (2), 2022)

Bridging the Domain Gap for Stance Detection for the Zulu Language. - Gcinizwe Dlamini; Imad Eddine Ibrahim Bekkouch; Adil Khan 001; Leon Derczynski (IntelliSys (1), 2022)

A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction. - Ch Muhammad Awais; Wei Gu; Gcinizwe Dlamini; Zamira Kholmatova; Giancarlo Succi (ISDA (3), 2022)

Metrics for Software Process Quality Assessment in the Late Phases of SDLC. - Gcinizwe Dlamini; Shokhista Ergasheva; Zamira Kholmatova; Artem V. Kruglov; Andrey Sadovykh; Giancarlo Succi; Anton Timchenko; Xavier Zelada Vasquez; Evgeny Zouev (SAI (1), 2022)

Towards Predicting Architectural Design Patterns: A Machine Learning Approach. - Sirojiddin Komolov; Gcinizwe Dlamini; Swati Megha; Manuel Mazzara (Comput., 2022)

Meta-analytical comparison of energy consumed by two sorting algorithms. - Gcinizwe Dlamini; Firas Jolha; Zamira Kholmatova; Giancarlo Succi (Inf. Sci., 2022)

Detecting Design Patterns in Android Applications with CodeBERT Embeddings and CK Metrics. - Gcinizwe Dlamini; Usman Ahmad; Lionel Randall Kharkrang; Vladimir Ivanov 001 (AIST, 2023)

Leveraging Transformer and Graph Neural Networks for Variable Misuse Detection. - Vitaly Romanov; Gcinizwe Dlamini; Aidar Valeev; Vladimir Ivanov 001 (ENASE, 2023)

Are CK Metrics Enough to Detect Design Patterns? - Gcinizwe Dlamini; Swati Megha; Sirojiddin Komolov (FICC (2), 2023)

Deep Learning Based Approach for Human Intention Estimation in Lower-Back Exoskeleton. - Valeriya Zanina; Gcinizwe Dlamini; Vadim Palyonov (FICC (2), 2023)

Attention and Concentration for Software Developers. - Rozaliya Amirova; Gcinizwe Dlamini; Anastasiia Repryntseva; Giancarlo Succi; Herman Tarasau (IEEE Access, 2023)

Preliminary Study: Exploring GitHub Repository Metrics. - Guzel Safiullina; Aidar Gumerov; Gcinizwe Dlamini; Giancarlo Succi (FICC (1), 2024)

A Systematic Literature Review on Measuring Brain Activity While Reviewing Code and Paintings. - Gcinizwe Dlamini; Abu Huraira; Zamira Kholmatova; Andrei Mikriukov; Guzel Safiullina; Giancarlo Succi; Alexander Tormasov (IEEE Access, 2025)