Toan Bao Tran

Orcid: 0000-0002-0575-9783

According to our database1, Toan Bao Tran authored at least 11 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fracture Detection in Bone: An Approach with Versions of YOLOv4.
SN Comput. Sci., August, 2024

Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy.
Soft Comput., March, 2024

2023
An effective way for Taiwanese stock price prediction: Boosting the performance with machine learning techniques.
Concurr. Comput. Pract. Exp., 2023

2021
Decoders configurations based on Unet family and feature pyramid network for COVID-19 segmentation on CT images.
PeerJ Comput. Sci., 2021

Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning.
Expert Syst. Appl., 2021

Entropy-Based Discretization Approach on Metagenomic Data for Disease Prediction.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021

2020
Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis.
EAI Endorsed Trans. Context aware Syst. Appl., 2020

K-Means Clustering for Features Arrangement in Metagenomic Data Visualization.
Proceedings of the Advances in Computational Collective Intelligence, 2020

Taiwanese Stock Market Forecasting with a Shallow Long Short-Term Memory Architecture.
Proceedings of the Context-Aware Systems and Applications, and Nature of Computation and Communication, 2020

Feature Selection Using Local Interpretable Model-Agnostic Explanations on Metagenomic Data.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

Genome-Wide Association Analysis for Oat Genetics Using Support Vector Machines.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020


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