Dung Truong

According to our database, Dung Truong authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED).

Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig

Neuroinformatics, July, 2023

Deep learning applied to EEG data with different montages using spatial attention.

Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED).

Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig

Neuroinformatics, 2022

NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data.

Arnaud Delorme, Dung Truong, Choonhan Youn, Subhashini Sivagnanam, Claire Stirm, Kenneth Yoshimoto, Russell A. Poldrack, Amitava Majumdar, Scott Makeig

Database J. Biol. Databases Curation, 2022

GaDocNet: Rethinking the Anchoring Scheme and Loss Function in Vietnamese Document Images.

Thuan Trong Nguyen, Dung Truong, Nguyen D. Vo, Khang Nguyen

Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2022

A streamable large-scale clinical EEG dataset for Deep Learning.

Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Capturing the nature of events and event context using hierarchical event descriptors (HED).

Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig

NeuroImage, 2021

The open EEGLAB portal Interface: High-Performance computing with EEGLAB.

Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig

NeuroImage, 2021

MC-OCR Challenge 2021: Deep Learning Approach for Vietnamese Receipts OCR.

Doanh C. Bui, Dung Truong, Nguyen D. Vo, Khang Nguyen

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Tools for Importing and Evaluating BIDS-EEG Formatted Data.

Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril Pernet, Subha Sivagnanam, Kenneth Yoshimoto, Russ Poldrack, Amit Majumdar, Scott Makeig

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features.

Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Assessing learned features of Deep Learning applied to EEG.

Dung Truong, Scott Makeig, Arnaud Delorme

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research.

Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale, Dave Nadeau, Martin Kandes, Trevor Petersen, Dung Truong, Ramón Martínez-Cancino, Arnaud Delorme, Scott Makeig, Amit Majumdar

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

2019

Detecting Web Attacks using Stacked Denoising Autoencoder and Ensemble Learning Methods.

Dung Truong, Duc Tran, Lam Nguyen, Hieu Mac, Hai Anh Tran, Tung Bui

Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

2018

Detecting Attacks on Web Applications using Autoencoder.

Hieu Mac, Dung Truong, Lam Nguyen, Hoa Nguyen, Hai Anh Tran, Duc Tran

Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018