Data Driven Graph: A Parallel Program Model for Scheduling. - Viet D. Tran; Ladislav Hluchý; Giang T. Nguyen 001 (LCPC, 1999)

Parallel program model and environment. - Viet D. Tran; Ladislav Hluchý; Giang T. Nguyen 001 (PARCO, 1999)

Parallel Programming Environment for Cluster Computing. - Viet D. Tran; Ladislav Hluchý; Giang T. Nguyen 001 (CLUSTER, 2000)

Parallel programming with data driven model. - Viet D. Tran; Ladislav Hluchý; Giang T. Nguyen 001 (PDP, 2000)

Parallel Program Model for Distributed Systems. - Viet D. Tran; Ladislav Hluchý; Giang T. Nguyen 001 (PVM/MPI, 2000)

Cluster Computation for Flood Simulations. - Ladislav Hluchý; Giang T. Nguyen 001; Ladislav Halada; Viet D. Tran (HPCN Europe, 2001)

Parallel Numerical Solution for Flood Modeling Systems. - Ladislav Hluchý; David Froehlich; Viet D. Tran; Ján Astalos; Miroslav Dobrucký; Giang T. Nguyen 001 (PPAM, 2001)

DDG Task Recovery for Cluster Computing. - Giang T. Nguyen 001; Ladislav Hluchý; Viet D. Tran; Margaréta Kotocová (PPAM, 2001)

Parallel Flood Modeling Systems. - Ladislav Hluchý; Viet D. Tran; Ján Astalos; Miroslav Dobrucký; Giang T. Nguyen 001; David Froehlich (International Conference on Computational Science (1), 2002)

TOPAS - Parallel Programming Environment for Distributed Computing. - Giang T. Nguyen 001; Viet D. Tran; Margaréta Kotocová (International Conference on Computational Science (1), 2002)

Flood Modeling System and Its Parallelization. - Ladislav Hluchý; Viet D. Tran; Ján Astalos; Miroslav Dobrucký; Giang T. Nguyen 001; David Froehlich (PARELEC, 2002)

Integrating Fault-Tolerant Feature into TOPAS Parallel Programming Environment for Distributed Systems. - Giang T. Nguyen 001; Viet D. Tran; Margaréta Kotocová (PARELEC, 2002)

Application Recovery in Parallel Programming Environment. - Giang Thu Nguyen; Viet D. Tran; Margaréta Kotocová (PVM/MPI, 2002)

Knowledge Management and Data Classification in Pellucid. - Than-Tung Dang; Ladislav Hluchý; Giang Nguyen 001; Ivana Budinska; Zoltán Balogh 001; Michal Laclavik (IIS, 2003)

An Application of Computational Collective Intelligence to Governance and Policy Modelling. - Tien Van Do 001; Tamas Krejczinger; Michal Laclavik; Nguyen-Thinh Le; Marcin Maleszka; Giang Nguyen 001; Ngoc Thanh Nguyen 001 (Advanced Computational Methods for Knowledge Engineering, 2013)

Next Improvement Towards Linear Named Entity Recognition Using Character Gazetteers. - Giang Nguyen 001; Stefan Dlugolinský; Michal Laclavik; Martin Seleng; Viet D. Tran (ICCSAMA, 2014)

Unified nanoscale gateway to HPC and grid environments. - Giang Nguyen 001; Ladislav Hluchý; Jaroslav Tóbik; Viera Sipková; Miroslav Dobrucký; Ján Astalos (SoICT, 2014)

Integrated System for Hydraulic Simulations. - Giang Nguyen 001; Viera Sipková; Peter Krammer; Ladislav Hluchý; Miroslav Dobrucký; Viet D. Tran; Ondrej Habala (Comput. Informatics, 2015)

Effective Computation Resilience in High Performance and Distributed Environments. - Ladislav Hluchý; Giang Nguyen 001; Ján Astalos; Viet D. Tran; Viera Sipková; Binh Minh Nguyen (Comput. Informatics, 2016)

Enhancing service capability with multiple finite capacity server queues in cloud data centers. - Binh Minh Nguyen; Dang Tran; Giang Nguyen 001 (Clust. Comput., 2016)

A Proactive Cloud Scaling Model Based on Fuzzy Time Series and SLA Awareness. - Dang Tran; Nhuan Tran; Giang T. Nguyen 001; Binh Minh Nguyen (ICCS, 2017)

Geospatial preprocessing for situational assessment through hydraulic simulations. - Giang Nguyen 001; Martin Bobák 001; Ladislav Hluchý (ICNC-FSKD, 2017)

An Information-centric Approach for Slice Monitoring from Edge Devices to Clouds. - Binh Minh Nguyen; Huan Phan; Duong Quang Ha; Giang T. Nguyen 001 (ANT/SEIT, 2018)

A Multivariate Fuzzy Time Series Resource Forecast Model for Clouds using LSTM and Data Correlation Analysis. - Nhuan Tran; Thang Nguyen 006; Binh Minh Nguyen; Giang T. Nguyen 001 (KES, 2018)

A Resource Usage Prediction System Using Functional-Link and Genetic Algorithm Neural Network for Multivariate Cloud Metrics. - Thieu Nguyen; Nhuan Tran; Binh Minh Nguyen; Giang T. Nguyen 001 (SOCA, 2018)

A heuristics approach to mine behavioural data logs in mobile malware detection system. - Giang Nguyen 001; Binh Minh Nguyen; Dang Tran; Ladislav Hluchý (Data Knowl. Eng., 2018)

Building Resource Auto-scaler with Functional-Link Neural Network and Adaptive Bacterial Foraging Optimization. - Thieu Nguyen; Binh Minh Nguyen; Giang Nguyen 001 (TAMC, 2019)

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey. - Giang Nguyen 001; Stefan Dlugolinský; Martin Bobák 001; Viet D. Tran; Álvaro López García; Ignacio Heredia; Peter Malík; Ladislav Hluchý (Artif. Intell. Rev., 2019)

Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization. - Thieu Nguyen; Tu Nguyen; Binh Minh Nguyen; Giang Nguyen 001 (Int. J. Comput. Intell. Syst., 2019)

A New Workload Prediction Model Using Extreme Learning Machine and Enhanced Tug of War optimization. - Thieu Nguyen; Bao Hoang; Giang T. Nguyen 001; Binh Minh Nguyen (ANT/EDI40, 2020)

EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction. - Thieu Nguyen; Giang T. Nguyen 001; Binh Minh Nguyen (KES, 2020)

Modeling Multi-constrained Fog-cloud Environment for Task Scheduling Problem. - Thang Nguyen 006; Khiem Doan; Giang T. Nguyen 001; Binh Minh Nguyen (NCA, 2020)

A Cloud-Based Framework for Machine Learning Workloads and Applications. - Álvaro López García; Viet D. Tran; Andy S. Alic; Miguel Caballer; Isabel Campos Plasencia; Alessandro Costantini; Stefan Dlugolinský; Doina Cristina Duma; Giacinto Donvito; Jorge Gomes 001; Ignacio Heredia Cacha; Jesús E. Marco de Lucas; et al. (IEEE Access, 2020)

Deep Learning for Proactive Network Monitoring and Security Protection. - Giang Nguyen 001; Stefan Dlugolinský; Viet D. Tran; Álvaro López García (IEEE Access, 2020)

Hybridization of Galactic Swarm and Evolution Whale Optimization for Global Search Problem. - Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang T. Nguyen 001 (IEEE Access, 2020)

A comparative study of operational engineering for environmental and compute-intensive applications. - Giang T. Nguyen 001; Viera Sipková; Stefan Dlugolinský; Binh Minh Nguyen; Viet D. Tran; Ladislav Hluchý (Array, 2021)

nQSV-Net: a novel queuing search variant for global space search and workload modeling. - Binh Minh Nguyen; Bao Hoang; Thieu Nguyen; Giang Nguyen 001 (J. Ambient Intell. Humaniz. Comput., 2021)

An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks. - Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang T. Nguyen 001 (Int. J. Comput. Intell. Syst., 2022)

Secure Multi-Party Computation for Magnetic Resonance Imaging Classification. - Oleksandr Lytvyn; Giang T. Nguyen 001 (ANT/EDI40, 2023)

Federated Learning with Differential Privacy on Personal Opinions: A Privacy-Preserving Approach. - Mirwais Ahmadzai; Giang T. Nguyen 001 (KES, 2023)

Efficiency and Security Trade-offs of Secure Multi-Party Computation for Machine Learning. - Oleksandr Lytvyn; Giang T. Nguyen 001 (KES, 2023)

Data Partitioning Effects in Federated Learning. - Mirwais Ahmadzai; Giang T. Nguyen 001 (SQAMIA, 2023)

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach. - Judith Sáinz-Pardo Díaz; Andrés Heredia Canales; Ignacio Heredia Cacha; Viet D. Tran; Giang T. Nguyen 001; Khadijeh Alibabaei; Marta Obregón Ruiz; Susana Rebolledo Ruiz; Álvaro López García (IH&MMSec, 2024)

Optimal Differential Privacy for Deep Learning Model Training. - Hlib Kokin; Oleksandr Lytvyn; Giang T. Nguyen 001 (KES, 2024)

Secure Federated Learning for Multi-Party Network Monitoring. - Oleksandr Lytvyn; Giang T. Nguyen 001 (IEEE Access, 2024)

Differential Private Federated Learning in Geographically Distributed Public Administration Processes. - Mirwais Ahmadzai; Giang T. Nguyen 001 (Future Internet, 2024)

Network security AIOps for online stream data monitoring. - Giang T. Nguyen 001; Stefan Dlugolinský; Viet D. Tran; Álvaro López García (Neural Comput. Appl., 2024)

Cognitive abilities and visual complexity impact first impressions in five-second testing. - Eduard Kuric; Peter Demcak; Matus Krajcovic; Giang Nguyen 001 (Behav. Inf. Technol., 2024)

Democratizing eye-tracking? Appearance-based gaze estimation with improved attention branch. - Eduard Kuric; Peter Demcak; Jozef Majzel; Giang Nguyen 001 (Eng. Appl. Artif. Intell., 2025)

Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools. - Giang Thu Nguyen; Judith Sáinz-Pardo Díaz; Amanda Calatrava; Lisana Berberi; Oleksandr Lytvyn; Valentin Kozlov; Viet D. Tran; Germán Moltó; Álvaro López García (Artif. Intell. Rev., 2025)

Machine learning operations landscape: platforms and tools. - Lisana Berberi; Valentin Kozlov; Giang Nguyen 001; Judith Sáinz-Pardo Díaz; Amanda Calatrava; Germán Moltó; Viet D. Tran; Álvaro López García (Artif. Intell. Rev., 2025)