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2020 – today
- 2022
[j4]Arnaud Delorme
, Dung Truong, Choonhan Youn, Subhashini Sivagnanam, Claire Stirm, Kenneth Yoshimoto, Russell A. Poldrack, Amitava Majumdar, Scott Makeig:
NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. Database J. Biol. Databases Curation 2022(2022) (2022)- [j3]Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig:
Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). Neuroinformatics 20(2): 463-481 (2022) - [c9]Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme:
A streamable large-scale clinical EEG dataset for Deep Learning. EMBC 2022: 1058-1061 - [c8]Thuan Trong Nguyen, Dung Truong, Nguyen D. Vo, Khang Nguyen:
GaDocNet: Rethinking the Anchoring Scheme and Loss Function in Vietnamese Document Images. MAPR 2022: 1-6 - [i3]Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme:
A streamable large-scale clinical EEG dataset for Deep Learning. CoRR abs/2203.02552 (2022) - 2021
- [j2]Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig:
The open EEGLAB portal Interface: High-Performance computing with EEGLAB. NeuroImage 224: 116778 (2021) - [j1]Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig:
Capturing the nature of events and event context using hierarchical event descriptors (HED). NeuroImage 245: 118766 (2021) - [c7]Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. BIBM 2021: 3667-3674 - [c6]Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme:
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. EMBC 2021: 1039-1042 - [c5]Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril Pernet, Subha Sivagnanam, Kenneth Yoshimoto, Russ Poldrack, Amit Majumdar, Scott Makeig:
Tools for Importing and Evaluating BIDS-EEG Formatted Data. NER 2021: 210-213 - [c4]Doanh C. Bui, Dung Truong, Nguyen D. Vo, Khang Nguyen:
MC-OCR Challenge 2021: Deep Learning Approach for Vietnamese Receipts OCR. RIVF 2021: 1-6 - [i2]Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme:
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. CoRR abs/2105.04762 (2021) - [i1]Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. CoRR abs/2111.04309 (2021) - 2020
- [c3]Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale, Dave Nadeau, Martin Kandes, Trevor Petersen, Dung Truong, Ramón Martínez-Cancino, Arnaud Delorme, Scott Makeig, Amit Majumdar:
Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. PEARC 2020: 510-513
2010 – 2019
- 2019
- [c2]Dung Truong, Duc Tran, Lam Nguyen, Hieu Mac, Hai Anh Tran, Tung Bui:
Detecting Web Attacks using Stacked Denoising Autoencoder and Ensemble Learning Methods. SoICT 2019: 267-272 - 2018
- [c1]Hieu Mac, Dung Truong, Lam Nguyen, Hoa Nguyen, Hai Anh Tran, Duc Tran:
Detecting Attacks on Web Applications using Autoencoder. SoICT 2018: 416-421
Coauthor Index
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last updated on 2022-12-27 02:53 CET by the dblp team
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