A conflict-based confidence measure for associative classification. - Peerapon Vateekul; Mei-Ling Shyu (IRI, 2008)

Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. - Peerapon Vateekul; Miroslav Kubat (ICDM Workshops, 2009)

Tree-Based Approach to Missing Data Imputation. - Peerapon Vateekul; Kanoksri Sarinnapakorn (ICDM Workshops, 2009)

Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. - Sareewan Dendamrongvit; Peerapon Vateekul; Miroslav Kubat (Intell. Data Anal., 2011)

Improving SVM Performance in Multi-Label Domains: Threshold Adjustment. - Peerapon Vateekul; Sareewan Dendamrongvit; Miroslav Kubat (Int. J. Artif. Intell. Tools, 2013)

Controlling Quality of Water-Level Data in Thailand. - Pattarasai Markpeng; Piraya Wongnimmarn; Nattarat Champreeda; Peerapon Vateekul; Kanoksri Sarinnapakorn (ACIIDS (1), 2014)

Label Correction Strategy on Hierarchical Multi-Label Classification. - Thanawut Ananpiriyakul; Piyapan Poomsirivilai; Peerapon Vateekul (MLDM, 2014)

Hierarchical multi-label classification with SVMs: A case study in gene function prediction. - Peerapon Vateekul; Miroslav Kubat; Kanoksri Sarinnapakorn (Intell. Data Anal., 2014)

Item-Based Learning for Music Emotion Prediction Using EEG Data. - Peerapon Vateekul; Nattapong Thammasan; Koichi Moriyama; Ken-ichi Fukui; Masayuki Numao (PRIMA Workshops, 2015)

Applying active learning strategy to classify large scale data with imbalanced classes. - Phairod Tuntiwachiratrakun; Peerapon Vateekul (ICCAIS, 2016)

A framework to detect unqualified restaurant reviews. - Boonjira Angsumalee; Natthapat Sotthisopha; Peerapon Vateekul (KSE, 2016)

Enhance accuracy of partition-based overlapping clustering by exploiting benefit of distances between clusters. - Tanawat Limungkura; Peerapon Vateekul (KSE, 2016)

An adjustment strategy on multi-session EEG data for online left/right hand imagery classification. - Sitthiphong Muthong; Peerapon Vateekul; Mana Sriyudthsak (KST, 2016)

Combining deep convolutional networks and SVMs for mass detection on digital mammograms. - Itsara Wichakam; Peerapon Vateekul (KST, 2016)

Understanding knowledge areas in curriculum through text mining from course materials. - Kornraphop Kawintiranon; Peerapon Vateekul; Atiwong Suchato; Proadpran Punyabukkana (TALE, 2016)

Road map extraction from satellite imagery using connected component analysis and landscape metrics. - Kulsawasd Jitkajornwanich; Peerapon Vateekul; Teerapong Panboonyuen; Siam Lawawirojwong; Siwapon Srisonphan (IEEE BigData, 2017)

Ocean surface current prediction based on HF radar observations using trajectory-oriented association rule mining. - Kulsawasd Jitkajornwanich; Peerapon Vateekul; Upa Gupta; Teeranai Kormongkolkul; Arnon Jirakittayakorn; Siam Lawawirojwong; Siwapon Srisonphan (IEEE BigData, 2017)

An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery. - Teerapong Panboonyuen; Peerapon Vateekul; Kulsawasd Jitkajornwanich; Siam Lawawirojwong (IC2IT, 2017)

Temporal kNN for short-term ocean current prediction based on HF radar observations. - Arnon Jirakittayakorn; Teeranai Kormongkolkul; Peerapon Vateekul; Kulsawasd Jitkajornwanich; Siam Lawawirojwong (JCSSE, 2017)

Applying One-Versus-One SVMs to classify multi-label data with large labels using spark. - Suthipong Daengduang; Peerapon Vateekul (KST, 2017)

A character-level convolutional neural network with dynamic input length for Thai text categorization. - Thanabhat Koomsubha; Peerapon Vateekul (KST, 2017)

Partition-based overlapping clustering using cluster's parameters and relations. - Tanawat Limungkura; Peerapon Vateekul (KST, 2017)

Fault detection for circulating water pump using time series forecasting and outlier detection. - Manassakan Sanayha; Peerapon Vateekul (KST, 2017)

Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields. - Teerapong Panboonyuen; Kulsawasd Jitkajornwanich; Siam Lawawirojwong; Panu Srestasathiern; Peerapon Vateekul (Remote. Sens., 2017)

Utilizing Twitter Data for Early Flood Warning in Thailand. - Kulsawasd Jitkajornwanich; Chanwit Kongthong; Nattaya Khongsoontornjaroen; Jeedapa Kaiyasuan; Siam Lawawirojwong; Panu Srestasathiern; Siwapon Srisonphan; Peerapon Vateekul (IEEE BigData, 2018)

Deep Learning Using Risk-Reward Function for Stock Market Prediction. - Pisut Oncharoen; Peerapon Vateekul (CSAI/ICIMT, 2018)

Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices. - Sirinthra Chantharaj; Kissada Pornratthanapong; Pitchayut Chitsinpchayakun; Teerapong Panboonyuen; Peerapon Vateekul; Siam Lawawirojwong; Panu Srestasathiern; Kulsawasd Jitkajornwanich (JCSSE, 2018)

A Comparative Study on Various Deep Learning Techniques for Thai NLP Lexical and Syntactic Tasks on Noisy Data. - Amarin Jettakul; Chavisa Thamjarat; Kawin Liaowongphuthorn; Can Udomcharoenchaikit; Peerapon Vateekul; Prachya Boonkwan (JCSSE, 2018)

Enhance Accuracy of Hierarchical Text Categorization Based on Deep Learning Network Using Embedding Strategies. - Chanatip Saetia; Peerapon Vateekul (JCSSE, 2018)

Enhance Machine Reading Comprehension on Multiple Sentence Questions with Gated and Dense Coreference Information. - Nattachai Tretasayuth; Peerapon Vateekul; Prachya Boonkwan (JCSSE, 2018)

Online Emerging Topic Detection on Twitter Using Random Forest with Stock Indicator Features. - Ekapop Verasakulvong; Peerapon Vateekul; Apivadee Piyatumrong; Chatchawal Sangkeettrakarn (JCSSE, 2018)

Real-Time Polyps Segmentation for Colonoscopy Video Frames Using Compressed Fully Convolutional Network. - Itsara Wichakam; Teerapong Panboonyuen; Can Udomcharoenchaikit; Peerapon Vateekul (MMM (1), 2018)

Improving Short Text Classification Using Fast Semantic Expansion on Multichannel Convolutional Neural Network. - Natthapat Sotthisopha; Peerapon Vateekul (SNPD, 2018)

Combining Attentional CNN and GRU Networks for Ocean Current Prediction based on HF Radar Observations. - Nathachai Thongniran; Kulsawasd Jitkajornwanich; Siam Lawawirojwong; Panu Srestasathiern; Peerapon Vateekul (ICCPR, 2019)

Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data. - Nathachai Thongniran; Peerapon Vateekul; Kulsawasd Jitkajornwanich; Siam Lawawirojwong; Panu Srestasathiern (JCSSE, 2019)

Improve Traffic Prediction Using Accident Embedding on Ensemble Deep Neural Networks. - Wanida Liyong; Peerapon Vateekul (KST, 2019)

Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations. - Amarin Jettakul; Duangdao Wichadakul; Peerapon Vateekul (BMC Bioinform., 2019)

Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations. - Chanatip Saetia; Ekapol Chuangsuwanich; Tawunrat Chalothorn; Peerapon Vateekul (CoRR, 2019)

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; Panu Srestasathiern; Peerapon Vateekul (Remote. Sens., 2019)

Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference. - Tanawat Chiewhawan; Peerapon Vateekul (ACIIDS (1), 2020)

Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks. - Sirichart Gobpradit; Peerapon Vateekul (ACIIDS (1), 2020)

A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. - Thanapapas Horsuwan; Kasidis Kanwatchara; Peerapon Vateekul; Boonserm Kijsirikul (ACIIDS (1), 2020)

Explainable Deep Learning for Thai Stock Market Prediction Using Textual Representation and Technical Indicators. - Tanawat Chiewhawan; Peerapon Vateekul (ICCCM, 2020)

Combining Angiodysplasia Classification and Segmentation on Capsule Endoscopy Images Using Attentional AlbuNet. - Sirichart Gobpradit; Peerapon Vateekul (ICCCM, 2020)

Machine Reading Comprehension on Multiclass Questions Using Bidirectional Attention Flow Models with Contextual Embeddings and Transfer Learning in Thai Corpus. - Theerit Lapchaicharoenkit; Peerapon Vateekul (ICCCM, 2020)

Enhance Attentional LSTM Models for Power Consumption Forecasting Using Asymmetric Loss and Renewable Energy Factors. - Chukwan Siridhipakul; Peerapon Vateekul (ICCCM, 2020)

Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution. - Teerapong Panboonyuen; Kulsawasd Jitkajornwanich; Siam Lawawirojwong; Panu Srestasathiern; Peerapon Vateekul (Remote. Sens., 2020)

Adversarial Evaluation of Robust Neural Sequential Tagging Methods for Thai Language. - Can Udomcharoenchaikit; Prachya Boonkwan; Peerapon Vateekul (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

ESRA: Explainable Scientific Research Assistant. - Pollawat Hongwimol; Peeranuth Kehasukcharoen; Pasit Laohawarutchai; Piyawat Lertvittayakumjorn; Aik Beng Ng; Zhangsheng Lai; Timothy Liu; Peerapon Vateekul (ACL (demo), 2021)

Rational LAMOL: A Rationale-based Lifelong Learning Framework. - Kasidis Kanwatchara; Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Boonserm Kijsirikul; Peerapon Vateekul (ACL/IJCNLP (1), 2021)

Precipitation Nowcasting Using Deep Learning on Radar Data Augmented with Satellite Data. - Wikom Tosiri; Nutnaree Kleawsirikul; Patamawadee Leepaisomboon; Natnapat Gaviphatt; Hidetomo Sakaino; Peerapon Vateekul (IAIT, 2021)

Incorporating Prior Scientific Knowledge Into Deep Learning for Precipitation Nowcasting on Radar Images. - Pattarapong Danpoonkij; Nutnaree Kleawsirikul; Patamawadee Leepaisomboon; Natnapat Gaviphatt; Hidetomo Sakaino; Peerapon Vateekul (JCSSE, 2021)

A Summary of the ALQAC 2021 Competition. - 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 001; Duc-Vu Tran; Phan Viet Anh; Nguyen Truong Son; et al. (KSE, 2021)

Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information. - Kittisak Prachyachuwong; Peerapon Vateekul (Inf., 2021)

Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images. - Teerapong Panboonyuen; Kulsawasd Jitkajornwanich; Siam Lawawirojwong; Panu Srestasathiern; Peerapon Vateekul (Remote. Sens., 2021)

AI-Assisted Diagnosis of Dyssynergic Defecation Using Deep Learning Approach on Abdominal Radiography and Symptom Questionnaire. - Sornsiri Poovongsaroj; Pakkapon Rattanachaisit; Tanisa Patcharatrakul; Sutep Gonlachanvit; Peerapon Vateekul (JCSSE, 2022)

Model-Based Approach on Multi-Agent Deep Reinforcement Learning With Multiple Clusters for Peer-To-Peer Energy Trading. - Manassakan Sanayha; Peerapon Vateekul (IEEE Access, 2022)

Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation. - Kasidis Kanwatchara; Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Boonserm Kijsirikul; Peerapon Vateekul (Comput. Linguistics, 2022)

A Summary of the ALQAC 2021 Competition. - 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 001; Duc-Vu Tran; Phan Viet Anh; Nguyen Truong Son; et al. (CoRR, 2022)

Sub-Seasonal Precipitation Bias-Correction in Thailand Using Attention U-Net With Seasonal and Meteorological Effects. - Tanatorn Faijaroenmongkol; Kanoksri Sarinnapakorn; Peerapon Vateekul (IEEE Access, 2023)

Multi-Agent Deep Reinforcement Learning With Progressive Negative Reward for Cryptocurrency Trading. - Kittiwin Kumlungmak; Peerapon Vateekul (IEEE Access, 2023)

Drug Repurposing for Type 2 Diabetes Using Combined Textual and Structural Graph Representation Based on Transformer. - Sothornin Mam; Duangdao Wichadakul; Peerapon Vateekul (IEEE Access, 2023)

Real-Time Identification of Malignant Biliary Strictures on Cholangioscopy Images Using Explainable Convolutional Neural Networks With Heatmaps. - Passakron Phuangthongkham; Phonthep Angsuwatcharakon; Santi Kulpatcharapong; Peerapon Vateekul; Rungsun Rerknimitr (IEEE Access, 2023)

Spatio-Temporal PM2.5 Forecasting in Thailand Using Encoder-Decoder Networks. - Natch Sirisumpun; Kritchart Wongwailikhit; Pisut Painmanakul; Peerapon Vateekul (IEEE Access, 2023)

Label-Aware Automatic Verbalizer for Few-Shot Text Classification. - Thanakorn Thaminkaew; Piyawat Lertvittayakumjorn; Peerapon Vateekul (CoRR, 2023)

Real-time gastric intestinal metaplasia diagnosis tailored for bias and noisy-labeled data with multiple endoscopic imaging. - Passin Pornvoraphat; Kasenee Tiankanon; Rapat Pittayanon; Phanukorn Sunthornwetchapong; Peerapon Vateekul; Rungsun Rerknimitr (Comput. Biol. Medicine, 2023)

Towards improving the robustness of sequential labeling models against typographical adversarial examples using triplet loss. - Can Udomcharoenchaikit; Prachya Boonkwan; Peerapon Vateekul (Nat. Lang. Eng., 2023)

Explainable Depression Detection Based on Facial Expression Using LSTM on Attentional Intermediate Feature Fusion with Label Smoothing. - Yanisa Mahayossanunt; Natawut Nupairoj; Solaphat Hemrungrojn; Peerapon Vateekul (Sensors, 2023)

Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages. - Thanakorn Thaminkaew; Piyawat Lertvittayakumjorn; Peerapon Vateekul (ACL (Student Research Workshop), 2024)

Meta Lifelong-Learning With Selective and Task-Aware Adaptation. - Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Kasidis Kanwatchara; Boonserm Kijsirikul; Peerapon Vateekul (IEEE Access, 2024)

CraNeXt: Automatic Reconstruction of Skull Implants With Skull Categorization Technique. - Thathapatt Kesornsri; Napasara Asawalertsak; Natdanai Tantisereepatana; Pornnapas Manowongpichate; Boonrat Lohwongwatana; Chedtha Puncreobutr; Titipat Achakulvisut; Peerapon Vateekul (IEEE Access, 2024)

C-YOSO: Contrastive Query on Real-Time Panoptic Segmentation. - Chananvich Plabplathong; Kultida Rojviboonchai; Peerapon Vateekul (IEEE Access, 2024)

Explainable Multi-Modal Deep Learning With Cross-Modal Attention for Diagnosis of Dyssynergic Defecation Using Abdominal X-Ray Images and Symptom Questionnaire. - Sirapob Sangnark; Pakkapon Rattanachaisit; Tanisa Patcharatrakul; Peerapon Vateekul (IEEE Access, 2024)

Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification. - Thanakorn Thaminkaew; Piyawat Lertvittayakumjorn; Peerapon Vateekul (IEEE Access, 2024)

A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-the-Meter Disaggregated Data. - Chaichan Thepprom; Natawut Nupairoj; Peerapon Vateekul (IEEE Access, 2024)

Optimization of Peer-to-Peer Energy Trading With a Model-Based Deep Reinforcement Learning in a Non-Sharing Information Scenario. - Nat Uthayansuthi; Peerapon Vateekul (IEEE Access, 2024)

Real-time gastric intestinal metaplasia segmentation using a deep neural network designed for multiple imaging modes on high-resolution images. - Passin Pornvoraphat; Kasenee Tiankanon; Rapat Pittayanon; Natawut Nupairoj; Peerapon Vateekul; Rungsun Rerknimitr (Knowl. Based Syst., 2024)

A Comparative Study on the Development of a Thai Legal QA Framework Using Large Language Models and Mixed Legal Datasets. - Supachoke Hanwiboonwat; Chaichana Thavornthaveekul; Prachya Boonkwan; Apivadee Piyatumrong; Peerapon Vateekul (NLDB (1), 2025)

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image. - Karin Huangsuwan; Timothy Liu; Simon See; Aik Beng Ng; Peerapon Vateekul (IEEE Access, 2025)

InceptMan: An InceptionNeXt-Based Architecture for End-to-End Mandible Reconstruction. - Nattapon Kamboonsri; Natdanai Tantisereepatana; Titipat Achakulvisut; Peerapon Vateekul (IEEE Access, 2025)

Mixture of Experts for Code-Switching and Mitigating Catastrophic Forgetting in Automatic Speech Recognition: A Case Study in Thai Colonoscopic Reporting. - Arpanant Saeng-Xuto; Pasit Jakkrawankul; Krittamate Tiankanon; Kasenee Tiankanon; Natawut Nupairoj; Peerapon Vateekul (IEEE Access, 2025)

Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation. - Phanukorn Sunthornwetchapong; Kasichon Hombubpha; Kasenee Tiankanon; Satimai Aniwan; Pasit Jakkrawankul; Natawut Nupairoj; Peerapon Vateekul; Rungsun Rerknimitr (IEEE Access, 2025)