Trung Kien Tran

Orcid: 0000-0001-5466-0539

According to our database1, Trung Kien Tran authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ARist: An effective API argument recommendation approach.
J. Syst. Softw., October, 2023

Band Ratios Combination for Estimating Chlorophyll-a from Sentinel-2 and Sentinel-3 in Coastal Waters.
Remote. Sens., March, 2023

A Combination of Multi-Branch CNN and Feature Rearrangement for Down Syndrome Prediction.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

2022
An XAI-Based Deep Learning Framework for Coronary Artery Disease Diagnosis using SPECT MPI polar map images.
Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering, 2022

Evaluation of Synthetic Data Generating Methods in Down Syndrome Prediction During the First Trimester Screening in Vietnam.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2022

End-to-end deep learning-based framework for driver action recognition.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2022

SCAR: Smart Contract Alarm Ranking.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021
Experimental Comparison of Multi-Sharpening Methods Applied To Sentinel-2 MSI and Sentinel-3 OLCI Images.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

API parameter recommendation based on language model and program analysis.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2019
Deriving Particulate Organic Carbon in Coastal Waters from Remote Sensing: Inter-Comparison Exercise and Development of a Maximum Band-Ratio Approach.
Remote. Sens., 2019

Image-Based Unknown Malware Classification with Few-Shot Learning Models.
Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019


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