Praisan Padungweang

Orcid: 0000-0002-4358-7927

According to our database1, Praisan Padungweang authored at least 14 papers between 2012 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Diabetic Retinopathy Classification with pre-trained Image Enhancement Model.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

2019
Enhancing metabolic event extraction performance with multitask learning concept.
J. Biomed. Informatics, 2019

2018
Logistic Principle Component Analysis (L-PCA) for Feature Selection in Classification.
Proceedings of the 14th International Conference on Natural Computation, 2018

Auto-scaling microservices on IaaS under SLA with cost-effective framework.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Stock Selection Using Association Rules on Cash Flow and Accrual Financial Indicators.
Proceedings of the 10th International Conference on Advances in Information Technology, 2018

2017
Network analysis of inter-organizational success factor relationships.
Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

Automatic discovering success factor relationship entities in articles using named entity recognition.
Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017

Dog cough sound classification using artificial neural network and the selected relevant features from discrete wavelet transform.
Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017

A linear discriminant analysis using weighted local structure information.
Proceedings of the 14th International Joint Conference on Computer Science and Software Engineering, 2017

2016
Metabolite Named Entity Recognition: A Hybrid Approach.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Data mining approach for automatic discovering success factors relationship statements in full text articles.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

2015
TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2012
A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle.
IEEE Trans. Neural Networks Learn. Syst., 2012


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