Pattaramon Vuttipittayamongkol

Orcid: 0000-0003-3020-4971

According to our database1, Pattaramon Vuttipittayamongkol authored at least 11 papers between 2018 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Antimicrobial Resistance and Machine Learning: Challenges and Opportunities.
IEEE Access, 2022

Data-driven Industrial Machine Failure Detection in Imbalanced Environments.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

Exploration of Risky Riding Behavior on Last Mile Food Delivery using Motorcycle Rider Behavior Questionnaire: Evidence From Chiang Rai.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

2021
On the class overlap problem in imbalanced data classification.
Knowl. Based Syst., 2021

A Data-Driven Decision Support Tool for Offshore Oil and Gas Decommissioning.
IEEE Access, 2021

Towards Machine Learning-Driven Practices for Oil and Gas Decommissioning - Introduction of a New Offshore Pipeline Dataset.
Proceedings of the ICCCM 2021: 9th International Conference on Computer and Communications Management, Singapore, July 16, 2021

2020
Neighbourhood-based undersampling approach for handling imbalanced and overlapped data.
Inf. Sci., 2020

Response to Discussion on "Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease, ".
Int. J. Neural Syst., 2020

Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease.
Int. J. Neural Syst., 2020

Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2018
Overlap-Based Undersampling for Improving Imbalanced Data Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018


  Loading...