Duc Anh Nguyen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Model and Empirical Study on Multi-tasking Learning for Human Fall Detection.
Vietnam. J. Comput. Sci., July, 2024

NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization.
CoRR, 2024

FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing.
CoRR, 2024

SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
SCADefender: An Autoencoder-Based Defense for CNN-Based Image Classifiers.
Int. J. Pattern Recognit. Artif. Intell., September, 2023

Improving diversity and quality of adversarial examples in adversarial transformation network.
Soft Comput., April, 2023

Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition.
CoRR, 2023

A Query-based Black-box Attack to Evaluate the Robustness of One-Stage Object Detectors.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Memorization-Dilation: Modeling Neural Collapse Under Noise.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Progress in Sensors for Monitoring Reinforcement Corrosion in Reinforced Concrete Structures - A Review.
Sensors, 2022

Efficient Forest Fire Detection using Rule-Based Multi-color Space and Correlation Coefficient for Application in Unmanned Aerial Vehicles.
KSII Trans. Internet Inf. Syst., 2022

A symbolic execution-based method to perform untargeted attack on feed-forward neural networks.
Autom. Softw. Eng., 2022

An Efficient Contesting Procedure for AutoML Optimization.
IEEE Access, 2022

A robust and high-performance neural network for classifying landmarks in upper gastrointestinal endoscopy images.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

A study on skeleton-based action recognition and its application to physical exercise recognition.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

A Method of Automated Mock Data Generation for RESTful API Testing.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

A Generator-based Method for Attacking Embedding-based Text Classifiers.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Method for Improving Quality of Adversarial Examples.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Cartoon Explanations of Image Classifiers.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Boosting prior knowledge in streaming variational Bayes.
Neurocomputing, 2021

CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.
CoRR, 2021

A survey on adverse drug reaction studies: data, tasks and machine learning methods.
Briefings Bioinform., 2021

Efficient AutoML via Combinational Sampling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An Autoencoder-based Method for Targeted Attack on Deep Neural Network Models.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Automated Test Data Generation for Typescript Web Applications.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

Adaptive Fuzzy Backstepping Control for Ballbot Segway.
Proceedings of the International Conference on System Science and Engineering, 2021

Adaptive Dynamic Programming based Control Scheme for Uncertain Two-Wheel Robots.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2021

An Efficient Approach for SIMO Systems using Adaptive Fuzzy Hierarchical Sliding Mode Control.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2021

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Hyperparameter Optimisation for Improving Classification under Class Imbalance.
Dataset, February, 2020

Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam.
Remote. Sens., 2020

Neural Poisson Factorization.
IEEE Access, 2020

Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Rate-Distortion Framework for Explaining Black-Box Model Decisions.
Proceedings of the xxAI - Beyond Explainable AI, 2020

2019
Measuring Ground Subsidence in Ha Noi Through the Radar Interferometry Technique Using TerraSAR-X and Cosmos SkyMed Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Improvements of Directed Automated Random Testing in Test Data Generation for C++ Projects.
Int. J. Softw. Eng. Knowl. Eng., 2019

Hyperparameter Optimisation for Improving Classification under Class Imbalance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Highly Accurate Step Counting at Various Walking States Using Low-Cost Inertial Measurement Unit Support Indoor Positioning System.
Sensors, 2018

2017
Behavior-based video recommendation using adaptive neuro-fuzzy system on social TV.
J. Intell. Fuzzy Syst., 2017

A Test Data Generation Method for C/C++ Projects.
Proceedings of the Eighth International Symposium on Information and Communication Technology, 2017

Keeping Priors in Streaming Bayesian Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2015
Video Recommendation Using Neuro-Fuzzy on Social TV Environment.
Proceedings of the Advanced Computational Methods for Knowledge Engineering - Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications, 2015


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