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- affiliation: Chulalongkorn University, Bangkok, Thailand
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2020 – today
- 2024
[j27]Thanakorn Thaminkaew
, Piyawat Lertvittayakumjorn, Peerapon Vateekul:
Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification. IEEE Access 12: 28310-28322 (2024)- [j26]Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Kasidis Kanwatchara, Boonserm Kijsirikul, Peerapon Vateekul:
Meta Lifelong-Learning With Selective and Task-Aware Adaptation. IEEE Access 12: 34099-34115 (2024) - [j25]Sirapob Sangnark, Pakkapon Rattanachaisit, Tanisa Patcharatrakul, Peerapon Vateekul:
Explainable Multi-Modal Deep Learning With Cross-Modal Attention for Diagnosis of Dyssynergic Defecation Using Abdominal X-Ray Images and Symptom Questionnaire. IEEE Access 12: 78132-78147 (2024) - [j24]Thathapatt Kesornsri, Napasara Asawalertsak, Natdanai Tantisereepatana, Pornnapas Manowongpichate, Boonrat Lohwongwatana, Chedtha Puncreobutr, Titipat Achakulvisut, Peerapon Vateekul:
CraNeXt: Automatic Reconstruction of Skull Implants With Skull Categorization Technique. IEEE Access 12: 84907-84922 (2024) - [j23]Chaichan Thepprom, Natawut Nupairoj, Peerapon Vateekul:
A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-the-Meter Disaggregated Data. IEEE Access 12: 94958-94971 (2024) - [j22]Nat Uthayansuthi, Peerapon Vateekul:
Optimization of Peer-to-Peer Energy Trading With a Model-Based Deep Reinforcement Learning in a Non-Sharing Information Scenario. IEEE Access 12: 111021-111034 (2024) - [j21]Passin Pornvoraphat, Kasenee Tiankanon, Rapat Pittayanon, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr:
Real-time gastric intestinal metaplasia segmentation using a deep neural network designed for multiple imaging modes on high-resolution images. Knowl. Based Syst. 300: 112213 (2024) - [c46]Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul:
Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages. ACL (Student Research Workshop) 2024: 195-203 - 2023
- [j20]Passakron Phuangthongkham, Phonthep Angsuwatcharakon, Santi Kulpatcharapong, Peerapon Vateekul, Rungsun Rerknimitr:
Real-Time Identification of Malignant Biliary Strictures on Cholangioscopy Images Using Explainable Convolutional Neural Networks With Heatmaps. IEEE Access 11: 49943-49956 (2023) - [j19]Sothornin Mam, Duangdao Wichadakul, Peerapon Vateekul:
Drug Repurposing for Type 2 Diabetes Using Combined Textual and Structural Graph Representation Based on Transformer. IEEE Access 11: 65711-65724 (2023) - [j18]Kittiwin Kumlungmak, Peerapon Vateekul:
Multi-Agent Deep Reinforcement Learning With Progressive Negative Reward for Cryptocurrency Trading. IEEE Access 11: 66440-66455 (2023) - [j17]Natch Sirisumpun, Kritchart Wongwailikhit, Pisut Painmanakul, Peerapon Vateekul:
Spatio-Temporal PM2.5 Forecasting in Thailand Using Encoder-Decoder Networks. IEEE Access 11: 69601-69613 (2023) - [j16]Tanatorn Faijaroenmongkol, Kanoksri Sarinnapakorn, Peerapon Vateekul:
Sub-Seasonal Precipitation Bias-Correction in Thailand Using Attention U-Net With Seasonal and Meteorological Effects. IEEE Access 11: 135463-135475 (2023) - [j15]Passin Pornvoraphat, Kasenee Tiankanon, Rapat Pittayanon, Phanukorn Sunthornwetchapong, Peerapon Vateekul, Rungsun Rerknimitr:
Real-time gastric intestinal metaplasia diagnosis tailored for bias and noisy-labeled data with multiple endoscopic imaging. Comput. Biol. Medicine 154: 106582 (2023) - [j14]Can Udomcharoenchaikit, Prachya Boonkwan, Peerapon Vateekul:
Towards improving the robustness of sequential labeling models against typographical adversarial examples using triplet loss. Nat. Lang. Eng. 29(2): 287-315 (2023) - [j13]Yanisa Mahayossanunt, Natawut Nupairoj, Solaphat Hemrungrojn, Peerapon Vateekul:
Explainable Depression Detection Based on Facial Expression Using LSTM on Attentional Intermediate Feature Fusion with Label Smoothing. Sensors 23(23): 9402 (2023) - [i4]Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul:
Label-Aware Automatic Verbalizer for Few-Shot Text Classification. CoRR abs/2310.12778 (2023) - 2022
- [j12]Manassakan Sanayha, Peerapon Vateekul:
Model-Based Approach on Multi-Agent Deep Reinforcement Learning With Multiple Clusters for Peer-To-Peer Energy Trading. IEEE Access 10: 127882-127893 (2022) - [j11]Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Boonserm Kijsirikul, Peerapon Vateekul:
Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation. Comput. Linguistics 48(4): 819-848 (2022) - [c45]Sornsiri Poovongsaroj, Pakkapon Rattanachaisit, Tanisa Patcharatrakul, Sutep Gonlachanvit, Peerapon Vateekul:
AI-Assisted Diagnosis of Dyssynergic Defecation Using Deep Learning Approach on Abdominal Radiography and Symptom Questionnaire. JCSSE 2022: 1-6 - [i3]Ha-Thanh Nguyen, Minh-Quan Bui, Chau Nguyen, Tung Le, Nguyen Minh Phuong, Tran Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy Tien Nguyen, Bhumindr Butr-indr, Peerapon Vateekul, Prachya Boonkwan:
A Summary of the ALQAC 2021 Competition. CoRR abs/2204.10717 (2022) - 2021
- [j10]Kittisak Prachyachuwong, Peerapon Vateekul:
Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information. Inf. 12(6): 250 (2021) - [j9]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images. Remote. Sens. 13(24): 5100 (2021) - [c44]Pollawat Hongwimol, Peeranuth Kehasukcharoen, Pasit Laohawarutchai, Piyawat Lertvittayakumjorn, Aik Beng Ng, Zhangsheng Lai, Timothy Liu, Peerapon Vateekul:
ESRA: Explainable Scientific Research Assistant. ACL (demo) 2021: 114-121 - [c43]Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Boonserm Kijsirikul, Peerapon Vateekul:
Rational LAMOL: A Rationale-based Lifelong Learning Framework. ACL/IJCNLP (1) 2021: 2942-2953 - [c42]Wikom Tosiri, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt, Hidetomo Sakaino, Peerapon Vateekul:
Precipitation Nowcasting Using Deep Learning on Radar Data Augmented with Satellite Data. IAIT 2021: 25:1-25:10 - [c41]Pattarapong Danpoonkij, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt, Hidetomo Sakaino, Peerapon Vateekul:
Incorporating Prior Scientific Knowledge Into Deep Learning for Precipitation Nowcasting on Radar Images. JCSSE 2021: 1-6 - [c40]Ha-Thanh Nguyen, Minh-Quan Bui, Chau Nguyen, Tung Le, Minh Phuong Nguyen, Tran Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy Tien Nguyen, Bhumindr Butr-indr, Peerapon Vateekul, Prachya Boonkwan:
A Summary of the ALQAC 2021 Competition. KSE 2021: 1-5 - 2020
- [j8]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution. Remote. Sens. 12(8): 1233 (2020) - [j7]Can Udomcharoenchaikit, Prachya Boonkwan, Peerapon Vateekul:
Adversarial Evaluation of Robust Neural Sequential Tagging Methods for Thai Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(4): 53:1-53:25 (2020) - [c39]Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul:
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. ACIIDS (1) 2020: 63-75 - [c38]Sirichart Gobpradit, Peerapon Vateekul:
Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks. ACIIDS (1) 2020: 283-293 - [c37]Tanawat Chiewhawan, Peerapon Vateekul:
Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference. ACIIDS (1) 2020: 492-503 - [c36]Theerit Lapchaicharoenkit, Peerapon Vateekul:
Machine Reading Comprehension on Multiclass Questions Using Bidirectional Attention Flow Models with Contextual Embeddings and Transfer Learning in Thai Corpus. ICCCM 2020: 3-8 - [c35]Tanawat Chiewhawan, Peerapon Vateekul:
Explainable Deep Learning for Thai Stock Market Prediction Using Textual Representation and Technical Indicators. ICCCM 2020: 19-23 - [c34]Sirichart Gobpradit, Peerapon Vateekul:
Combining Angiodysplasia Classification and Segmentation on Capsule Endoscopy Images Using Attentional AlbuNet. ICCCM 2020: 33-37 - [c33]Chukwan Siridhipakul, Peerapon Vateekul:
Enhance Attentional LSTM Models for Power Consumption Forecasting Using Asymmetric Loss and Renewable Energy Factors. ICCCM 2020: 68-73
2010 – 2019
- 2019
- [j6]Amarin Jettakul, Duangdao Wichadakul, Peerapon Vateekul:
Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations. BMC Bioinform. 20(1): 627 (2019) - [j5]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning. Remote. Sens. 11(1): 83 (2019) - [c32]Nathachai Thongniran, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Combining Attentional CNN and GRU Networks for Ocean Current Prediction based on HF Radar Observations. ICCPR 2019: 440-446 - [c31]Nathachai Thongniran, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern:
Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data. JCSSE 2019: 254-259 - [c30]Wanida Liyong, Peerapon Vateekul:
Improve Traffic Prediction Using Accident Embedding on Ensemble Deep Neural Networks. KST 2019: 11-16 - [i2]Chanatip Saetia, Ekapol Chuangsuwanich, Tawunrat Chalothorn, Peerapon Vateekul:
Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations. CoRR abs/1908.01294 (2019) - [i1]Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul:
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. CoRR abs/1912.01580 (2019) - 2018
- [c29]Kulsawasd Jitkajornwanich, Chanwit Kongthong, Nattaya Khongsoontornjaroen, Jeedapa Kaiyasuan, Siam Lawawirojwong, Panu Srestasathiern, Siwapon Srisonphan, Peerapon Vateekul:
Utilizing Twitter Data for Early Flood Warning in Thailand. IEEE BigData 2018: 5165-5169 - [c28]Pisut Oncharoen, Peerapon Vateekul:
Deep Learning Using Risk-Reward Function for Stock Market Prediction. CSAI/ICIMT 2018: 556-561 - [c27]Sirinthra Chantharaj, Kissada Pornratthanapong, Pitchayut Chitsinpchayakun, Teerapong Panboonyuen, Peerapon Vateekul, Siam Lawawirojwong, Panu Srestasathiern, Kulsawasd Jitkajornwanich:
Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices. JCSSE 2018: 1-6 - [c26]Amarin Jettakul, Chavisa Thamjarat, Kawin Liaowongphuthorn, Can Udomcharoenchaikit, Peerapon Vateekul, Prachya Boonkwan:
A Comparative Study on Various Deep Learning Techniques for Thai NLP Lexical and Syntactic Tasks on Noisy Data. JCSSE 2018: 1-6 - [c25]Chanatip Saetia, Peerapon Vateekul:
Enhance Accuracy of Hierarchical Text Categorization Based on Deep Learning Network Using Embedding Strategies. JCSSE 2018: 1-6 - [c24]Nattachai Tretasayuth, Peerapon Vateekul, Prachya Boonkwan:
Enhance Machine Reading Comprehension on Multiple Sentence Questions with Gated and Dense Coreference Information. JCSSE 2018: 1-6 - [c23]Ekapop Verasakulvong, Peerapon Vateekul, Apivadee Piyatumrong, Chatchawal Sangkeettrakarn:
Online Emerging Topic Detection on Twitter Using Random Forest with Stock Indicator Features. JCSSE 2018: 1-6 - [c22]Itsara Wichakam, Teerapong Panboonyuen, Can Udomcharoenchaikit, Peerapon Vateekul:
Real-Time Polyps Segmentation for Colonoscopy Video Frames Using Compressed Fully Convolutional Network. MMM (1) 2018: 393-404 - [c21]Natthapat Sotthisopha, Peerapon Vateekul:
Improving Short Text Classification Using Fast Semantic Expansion on Multichannel Convolutional Neural Network. SNPD 2018: 182-187 - 2017
- [j4]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields. Remote. Sens. 9(7): 680 (2017) - [c20]Kulsawasd Jitkajornwanich, Peerapon Vateekul, Teerapong Panboonyuen, Siam Lawawirojwong, Siwapon Srisonphan:
Road map extraction from satellite imagery using connected component analysis and landscape metrics. IEEE BigData 2017: 3435-3442 - [c19]Kulsawasd Jitkajornwanich, Peerapon Vateekul, Upa Gupta, Teeranai Kormongkolkul, Arnon Jirakittayakorn, Siam Lawawirojwong, Siwapon Srisonphan:
Ocean surface current prediction based on HF radar observations using trajectory-oriented association rule mining. IEEE BigData 2017: 4293-4300 - [c18]Teerapong Panboonyuen, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong:
An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery. IC2IT 2017: 191-201 - [c17]Arnon Jirakittayakorn, Teeranai Kormongkolkul, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong:
Temporal kNN for short-term ocean current prediction based on HF radar observations. JCSSE 2017: 1-6 - [c16]Suthipong Daengduang, Peerapon Vateekul:
Applying One-Versus-One SVMs to classify multi-label data with large labels using spark. KST 2017: 72-77 - [c15]Thanabhat Koomsubha, Peerapon Vateekul:
A character-level convolutional neural network with dynamic input length for Thai text categorization. KST 2017: 101-105 - [c14]Tanawat Limungkura, Peerapon Vateekul:
Partition-based overlapping clustering using cluster's parameters and relations. KST 2017: 144-149 - [c13]Manassakan Sanayha, Peerapon Vateekul:
Fault detection for circulating water pump using time series forecasting and outlier detection. KST 2017: 193-198 - 2016
- [c12]Phairod Tuntiwachiratrakun, Peerapon Vateekul:
Applying active learning strategy to classify large scale data with imbalanced classes. ICCAIS 2016: 100-105 - [c11]Tanawat Limungkura, Peerapon Vateekul:
Enhance accuracy of partition-based overlapping clustering by exploiting benefit of distances between clusters. KSE 2016: 109-114 - [c10]Boonjira Angsumalee, Natthapat Sotthisopha, Peerapon Vateekul:
A framework to detect unqualified restaurant reviews. KSE 2016: 115-120 - [c9]Sitthiphong Muthong, Peerapon Vateekul, Mana Sriyudthsak:
An adjustment strategy on multi-session EEG data for online left/right hand imagery classification. KST 2016: 179-183 - [c8]Itsara Wichakam, Peerapon Vateekul:
Combining deep convolutional networks and SVMs for mass detection on digital mammograms. KST 2016: 239-244 - [c7]Kornraphop Kawintiranon, Peerapon Vateekul, Atiwong Suchato, Proadpran Punyabukkana:
Understanding knowledge areas in curriculum through text mining from course materials. TALE 2016: 161-168 - 2015
- [c6]Peerapon Vateekul, Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao:
Item-Based Learning for Music Emotion Prediction Using EEG Data. PRIMA Workshops 2015: 155-167 - 2014
- [j3]Peerapon Vateekul, Miroslav Kubat, Kanoksri Sarinnapakorn:
Hierarchical multi-label classification with SVMs: A case study in gene function prediction. Intell. Data Anal. 18(4): 717-738 (2014) - [c5]Pattarasai Markpeng, Piraya Wongnimmarn, Nattarat Champreeda, Peerapon Vateekul, Kanoksri Sarinnapakorn:
Controlling Quality of Water-Level Data in Thailand. ACIIDS (1) 2014: 503-512 - [c4]Thanawut Ananpiriyakul, Piyapan Poomsirivilai, Peerapon Vateekul:
Label Correction Strategy on Hierarchical Multi-Label Classification. MLDM 2014: 213-227 - 2013
- [j2]Peerapon Vateekul, Sareewan Dendamrongvit, Miroslav Kubat:
Improving SVM Performance in Multi-Label Domains: Threshold Adjustment. Int. J. Artif. Intell. Tools 22(1) (2013) - 2011
- [j1]Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat:
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. Intell. Data Anal. 15(6): 843-859 (2011)
2000 – 2009
- 2009
- [c3]Peerapon Vateekul, Kanoksri Sarinnapakorn:
Tree-Based Approach to Missing Data Imputation. ICDM Workshops 2009: 70-75 - [c2]Peerapon Vateekul, Miroslav Kubat:
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. ICDM Workshops 2009: 320-325 - 2008
- [c1]Peerapon Vateekul, Mei-Ling Shyu:
A conflict-based confidence measure for associative classification. IRI 2008: 256-261
Coauthor Index
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