Peerapon Vateekul - Concepedia

Author

Peerapon Vateekul

Chulalongkorn University ORCID

Also Known As

P. Vateekul, PEERAPON VATEEKUL, Peerapol Vateekul, Peerapon VATEEKUL, Peerapon Vateekul, Vateekul, Peerapon

164

Publications

2.4K

Citations

H-Index

126

Concepts

All Affiliations

Chulalongkorn University National Science and Technology Development Agency King Mongkut's Institute of Technology Ladkrabang King Chulalongkorn Memorial Hospital University of Miami

About

Peerapon Vateekul is an author at Chulalongkorn University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	29	989
2	Health Sciences	3	3	73
3	Business	2	2	98
4	Education	2	2	37
5	Language Studies	2	2	140

Peerapon Vateekul

Publications

Citations

H-Index

Page 1

	Year	Citations
Federated learning for predicting clinical outcomes in patients with COVID-19 Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Nature Medicine	2021	649
A study of sentiment analysis using deep learning techniques on Thai Twitter data Peerapon Vateekul, Thanabhat Koomsubha EngineeringMachine LearningMultimodal Sentiment AnalysisCorpus LinguisticsSentiment Analysis	2016	128
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Remote Sensing Convolutional Neural NetworkEngineeringObject SegmentationRoad ExtractionEarth Science	2017	102
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningRemote Sensing DomainEarth Science	2019	90
Deep Learning for Stock Market Prediction Using Event Embedding and Technical Indicators Pisut Oncharoen, Peerapon Vateekul Structured PredictionEngineeringMachine LearningRecurrent Neural NetworkCorpus Linguistics	2018	83
Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningDl NetworkMultimodal Llm	2021	72
An evaluation of feature extraction in EEG-based emotion prediction with support vector machines Itsara Wichakam, Peerapon Vateekul EngineeringMachine LearningAffective NeuroscienceFeature ExtractionElectroencephalography	2014	55
Predicting Judicial Decisions of Criminal Cases from Thai Supreme Court Using Bi-directional GRU with Attention Mechanism Kankawin Kowsrihawat, Peerapon Vateekul, Prachya Boonkwan	2018	55
Federated Learning used for predicting outcomes in SARS-COV-2 patients Mona G. Flores, Ittai Dayan, Holger R. Roth,	2021	44
Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information Kittisak Prachyachuwong, Peerapon Vateekul Information Fixed Word EmbeddingEngineeringMachine LearningStock Trend PredictionTrend Prediction	2021	39

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