Peerapon Vateekul

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 66

Top Topics

Text Categorization

Remotely Sensed

Convolutional Neural Networks

Top Venues

Publications

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 (2024)
Chaichan Thepprom, Natawut Nupairoj, Peerapon Vateekul
A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-the-Meter Disaggregated Data. IEEE Access 12 (2024)
Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Kasidis Kanwatchara, Boonserm Kijsirikul, Peerapon Vateekul
Meta Lifelong-Learning With Selective and Task-Aware Adaptation. IEEE Access 12 (2024)
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 (2024)
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 (2024)
Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul
Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification. IEEE Access 12 (2024)
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) (2023)
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 (2023)
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 (2023)
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) (2023)
Natch Sirisumpun, Kritchart Wongwailikhit, Pisut Painmanakul, Peerapon Vateekul
Spatio-Temporal PM2.5 Forecasting in Thailand Using Encoder-Decoder Networks. IEEE Access 11 (2023)
Kittiwin Kumlungmak, Peerapon Vateekul
Multi-Agent Deep Reinforcement Learning With Progressive Negative Reward for Cryptocurrency Trading. IEEE Access 11 (2023)
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 (2023)
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 (2023)
Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul
Label-Aware Automatic Verbalizer for Few-Shot Text Classification. CoRR (2023)
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 (2022)
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)
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 (2022)
Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Boonserm Kijsirikul, Peerapon Vateekul
Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation. Comput. Linguistics 48 (4) (2022)
Kittisak Prachyachuwong, Peerapon Vateekul
Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information. Inf. 12 (6) (2021)
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)
Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Boonserm Kijsirikul, Peerapon Vateekul
Rational LAMOL: A Rationale-based Lifelong Learning Framework. ACL/IJCNLP (1) (2021)
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)
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) (2021)
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)
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)
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)
Sirichart Gobpradit, Peerapon Vateekul
Combining Angiodysplasia Classification and Segmentation on Capsule Endoscopy Images Using Attentional AlbuNet. ICCCM (2020)
Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. ACIIDS (1) (2020)
Sirichart Gobpradit, Peerapon Vateekul
Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks. ACIIDS (1) (2020)
Tanawat Chiewhawan, Peerapon Vateekul
Explainable Deep Learning for Thai Stock Market Prediction Using Textual Representation and Technical Indicators. ICCCM (2020)
Tanawat Chiewhawan, Peerapon Vateekul
Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference. ACIIDS (1) (2020)
Chukwan Siridhipakul, Peerapon Vateekul
Enhance Attentional LSTM Models for Power Consumption Forecasting Using Asymmetric Loss and Renewable Energy Factors. ICCCM (2020)
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) (2020)
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) (2020)
Chanatip Saetia, Ekapol Chuangsuwanich, Tawunrat Chalothorn, Peerapon Vateekul
Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations. CoRR (2019)
Wanida Liyong, Peerapon Vateekul
Improve Traffic Prediction Using Accident Embedding on Ensemble Deep Neural Networks. KST (2019)
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) (2019)
Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. CoRR (2019)
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) (2019)
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)
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)
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)
Itsara Wichakam, Teerapong Panboonyuen, Can Udomcharoenchaikit, Peerapon Vateekul
Real-Time Polyps Segmentation for Colonoscopy Video Frames Using Compressed Fully Convolutional Network. MMM (1) (2018)
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)
Pisut Oncharoen, Peerapon Vateekul
Deep Learning Using Risk-Reward Function for Stock Market Prediction. CSAI/ICIMT (2018)
Natthapat Sotthisopha, Peerapon Vateekul
Improving Short Text Classification Using Fast Semantic Expansion on Multichannel Convolutional Neural Network. SNPD (2018)
Chanatip Saetia, Peerapon Vateekul
Enhance Accuracy of Hierarchical Text Categorization Based on Deep Learning Network Using Embedding Strategies. JCSSE (2018)
Nattachai Tretasayuth, Peerapon Vateekul, Prachya Boonkwan
Enhance Machine Reading Comprehension on Multiple Sentence Questions with Gated and Dense Coreference Information. JCSSE (2018)
Ekapop Verasakulvong, Peerapon Vateekul, Apivadee Piyatumrong, Chatchawal Sangkeettrakarn
Online Emerging Topic Detection on Twitter Using Random Forest with Stock Indicator Features. JCSSE (2018)
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)
Tanawat Limungkura, Peerapon Vateekul
Partition-based overlapping clustering using cluster's parameters and relations. KST (2017)
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)
Teerapong Panboonyuen, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong
An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery. IC2IT (2017)
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)
Thanabhat Koomsubha, Peerapon Vateekul
A character-level convolutional neural network with dynamic input length for Thai text categorization. KST (2017)
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) (2017)
Suthipong Daengduang, Peerapon Vateekul
Applying One-Versus-One SVMs to classify multi-label data with large labels using spark. KST (2017)
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)
Manassakan Sanayha, Peerapon Vateekul
Fault detection for circulating water pump using time series forecasting and outlier detection. KST (2017)
Kornraphop Kawintiranon, Peerapon Vateekul, Atiwong Suchato, Proadpran Punyabukkana
Understanding knowledge areas in curriculum through text mining from course materials. TALE (2016)
Sitthiphong Muthong, Peerapon Vateekul, Mana Sriyudthsak
An adjustment strategy on multi-session EEG data for online left/right hand imagery classification. KST (2016)
Boonjira Angsumalee, Natthapat Sotthisopha, Peerapon Vateekul
A framework to detect unqualified restaurant reviews. KSE (2016)
Phairod Tuntiwachiratrakun, Peerapon Vateekul
Applying active learning strategy to classify large scale data with imbalanced classes. ICCAIS (2016)
Tanawat Limungkura, Peerapon Vateekul
Enhance accuracy of partition-based overlapping clustering by exploiting benefit of distances between clusters. KSE (2016)
Itsara Wichakam, Peerapon Vateekul
Combining deep convolutional networks and SVMs for mass detection on digital mammograms. KST (2016)
Peerapon Vateekul, Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao
Item-Based Learning for Music Emotion Prediction Using EEG Data. PRIMA Workshops (2015)
Peerapon Vateekul, Miroslav Kubat, Kanoksri Sarinnapakorn
Hierarchical multi-label classification with SVMs: A case study in gene function prediction. Intell. Data Anal. 18 (4) (2014)
Pattarasai Markpeng, Piraya Wongnimmarn, Nattarat Champreeda, Peerapon Vateekul, Kanoksri Sarinnapakorn
Controlling Quality of Water-Level Data in Thailand. ACIIDS (1) (2014)
Thanawut Ananpiriyakul, Piyapan Poomsirivilai, Peerapon Vateekul
Label Correction Strategy on Hierarchical Multi-Label Classification. MLDM (2014)
Peerapon Vateekul, Sareewan Dendamrongvit, Miroslav Kubat
Improving SVM Performance in Multi-Label Domains: Threshold Adjustment. Int. J. Artif. Intell. Tools 22 (1) (2013)
Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. Intell. Data Anal. 15 (6) (2011)
Peerapon Vateekul, Miroslav Kubat
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. ICDM Workshops (2009)
Peerapon Vateekul, Kanoksri Sarinnapakorn
Tree-Based Approach to Missing Data Imputation. ICDM Workshops (2009)
Peerapon Vateekul, Mei-Ling Shyu
A conflict-based confidence measure for associative classification. IRI (2008)