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Olarik Surinta
Olarik Surinta
Multi-agent Intelligent Simulation Laboratory (MISL) Research Unit, Mahasarakham University
Verified email at msu.ac.th
Title
Cited by
Cited by
Year
Comparing local descriptors and bags of visual words to deep convolutional neural networks for plant recognition
P Pawara, E Okafor, O Surinta, L Schomaker, M Wiering
6th international conference on pattern recognition applications and methods …, 2017
1312017
Recognition of handwritten characters using local gradient feature descriptors
O Surinta, MF Karaaba, LRB Schomaker, MA Wiering
Engineering Applications of Artificial Intelligence 45, 405-414, 2015
1132015
Food image classification with improved MobileNet architecture and data augmentation
S Phiphiphatphaisit, O Surinta
The 3rd International Conference on Information Science and System (ICISS …, 2020
592020
Comparative study between deep learning and bag of visual words for wild-animal recognition
E Okafor, P Pawara, F Karaaba, O Surinta, V Codreanu, L Schomaker, ...
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
572016
Effective Data Augmentation and Training Techniques for Improving Deep Learning in Plant Leaf Disease Recognition
P Enkvetchakul, O Surinta
Applied Science and Engineering Progress 15 (3), 3810, 2022
512022
A comparison of feature and pixel-based methods for recognizing handwritten bangla digits
O Surinta, L Schomaker, M Wiering
12th International Conference on Document Analysis and Recognition (ICDAR …, 2013
472013
Robust face recognition by computing distances from multiple histograms of oriented gradients
M Karaaba, O Surinta, L Schomaker, MA Wiering
2015 IEEE Symposium Series on Computational Intelligence, 203-209, 2015
372015
A* path planning for line segmentation of handwritten documents
O Surinta, M Holtkamp, F Karabaa, JP Van Oosten, L Schomaker, ...
14th International Conference on Frontiers in Handwriting Recognition (ICFHR …, 2014
352014
Image segmentation of historical handwriting from palm leaf manuscript
O Surinta, R Chamchong
IFIP International federation for Information processing 288, 370-375, 2008
322008
DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters
S Gonwirat, O Surinta
IEEE Access 10, 2022
232022
Ensemble Methods with Deep Convolutional Neural Networks for Plant Leaf Recognition
T Chompookham, O Surinta
ICIC Express Letters 15 (6), 553-565, 2021
232021
Handwritten Character Classification using the Hotspot Feature Extraction Technique
O Surinta, L Schomaker, M Wiering
The 1st International Conference Pattern Recognition Applications and …, 2012
212012
Tracking people and objects with an autonomous unmanned aerial vehicle using face and color detection
O Surinta, S Khruahong
Joint International Conference on Digital Arts, Media and Technology with …, 2019
192019
dropCyclic: Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification
S Noppitak, O Surinta
IEEE ACCESS 10, 60725-60737, 2022
172022
Ensemble Convolutional Network Architectures for Land Use Classification in Economic Crops Aerial Images
S Noppitak, O Surinta
ICIC Express Letters 15 (6), 531-543, 2021
152021
Evaluating automatically parallelized versions of the support vector machine
V Codreanu, B Dröge, D Williams, B Yasar, P Yang, B Liu, F Dong, ...
Concurrency and Computation: Practice and Experience 28 (7), 2274-2294, 2016
152016
Factors influencing the adoption of agricultural management information systems in Thailand
M Wongsim, R Sonthiprasat, O Surinta
3rd Technology Innovation Management and Engineering Science International …, 2018
142018
Recognizing handwritten characters with local descriptors and bags of visual words
O Surinta, MF Karaaba, TK Mishra, LRB Schomaker, MA Wiering
International Conference on Engineering Applications of Neural Networks …, 2015
142015
Improving Recognition of Thai Handwritten Characters with Deep Convolutional Neural Networks
S Gonwirat, O Surinta
The 3rd International Conference on Information Science and System (ICISS …, 2020
132020
Enhancement of Plant Disease Classification Based on Snapshot Ensemble Convolutional Neural Network
T Puangsuwan, O Surinta
ICIC Express Letters 15 (6), 669-680, 2021
122021
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