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Peerapon Vateekul
Peerapon Vateekul
Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University
Verified email at chula.ac.th - Homepage
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Cited by
Cited by
Year
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
4622021
A study of sentiment analysis using deep learning techniques on Thai Twitter data
P Vateekul, T Koomsubha
2016 13th International joint conference on computer science and software …, 2016
1392016
Road segmentation of remotely-sensed images using deep convolutional neural networks with landscape metrics and conditional random fields
T Panboonyuen, K Jitkajornwanich, S Lawawirojwong, P Srestasathiern, ...
Remote Sensing 9 (7), 680, 2017
1322017
Semantic segmentation on remotely sensed images using an enhanced global convolutional network with channel attention and domain specific transfer learning
T Panboonyuen, K Jitkajornwanich, S Lawawirojwong, P Srestasathiern, ...
Remote Sensing 11 (1), 83, 2019
1052019
Deep learning for stock market prediction using event embedding and technical indicators
P Oncharoen, P Vateekul
2018 5th international conference on advanced informatics: concept theory …, 2018
852018
An evaluation of feature extraction in EEG-based emotion prediction with support vector machines
I Wichakam, P Vateekul
2014 11th international joint conference on computer science and software …, 2014
642014
Predicting judicial decisions of criminal cases from Thai Supreme Court using bi-directional GRU with attention mechanism
K Kowsrihawat, P Vateekul, P Boonkwan
2018 5th Asian Conference on Defense Technology (ACDT), 50-55, 2018
552018
Combining deep convolutional networks and SVMs for mass detection on digital mammograms
I Wichakam, P Vateekul
2016 8th international conference on knowledge and smart technology (KST …, 2016
492016
Federated Learning used for predicting outcomes in SARS-COV-2 patients
M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ...
Research Square, 2021
482021
An enhanced deep convolutional encoder-decoder network for road segmentation on aerial imagery
T Panboonyuen, P Vateekul, K Jitkajornwanich, S Lawawirojwong
Recent Advances in Information and Communication Technology 2017 …, 2018
452018
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains
S Dendamrongvit, P Vateekul, M Kubat
Intelligent Data Analysis 15 (6), 843-859, 2011
402011
Fast induction of multiple decision trees in text categorization from large scale, imbalanced, and multi-label data
P Vateekul, M Kubat
2009 IEEE International Conference on Data Mining Workshops, 320-325, 2009
392009
Transformer-based decoder designs for semantic segmentation on remotely sensed images
T Panboonyuen, K Jitkajornwanich, S Lawawirojwong, P Srestasathiern, ...
Remote Sensing 13 (24), 5100, 2021
382021
Tree-based approach to missing data imputation
P Vateekul, K Sarinnapakorn
2009 IEEE International Conference on Data Mining Workshops, 70-75, 2009
342009
Stock trend prediction using deep learning approach on technical indicator and industrial specific information
K Prachyachuwong, P Vateekul
Information 12 (6), 250, 2021
302021
Understanding knowledge areas in curriculum through text mining from course materials
K Kawintiranon, P Vateekul, A Suchato, P Punyabukkana
2016 IEEE international conference on teaching, assessment, and learning for …, 2016
252016
Software defect prediction in imbalanced data sets using unbiased support vector machine
T Choeikiwong, P Vateekul
Information science and applications, 923-931, 2015
252015
Hierarchical multi-label classification with SVMs: A case study in gene function prediction
P Vateekul, M Kubat, K Sarinnapakorn
Intelligent Data Analysis 18 (4), 717-738, 2014
242014
Model-based deep reinforcement learning for wind energy bidding
M Sanayha, P Vateekul
International journal of electrical power & energy systems 136, 107625, 2022
232022
Deep learning using risk-reward function for stock market prediction
P Oncharoen, P Vateekul
Proceedings of the 2018 2nd International Conference on Computer Science and …, 2018
202018
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