Identifying an Agent's Preferences Toward Similarity Measures in Description Logics. - Teeradaj Racharak; Boontawee Suntisrivaraporn; Satoshi Tojo (JIST, 2015)

simπ: A Concept Similarity Measure under an Agent's Preferences in Description Logic ELH. - Teeradaj Racharak; Boontawee Suntisrivaraporn; Satoshi Tojo (ICAART (2), 2016)

Argument-Based Logic Programming for Analogical Reasoning. - Teeradaj Racharak; Satoshi Tojo; Nguyen Duy Hung; Prachya Boonkwan (JSAI-isAI Workshops, 2016)

Tuning Agent's Profile for Similarity Measure in Description Logic ELH. - Teeradaj Racharak; Satoshi Tojo (ICAART (2), 2017)

Analogical Reasoning in Clinical Practice with Description Logic ELH. - Teeradaj Racharak; Satoshi Tojo (ICAART (Revised Selected Papers), 2017)

Combining Answer Set Programming with Description Logics for Analogical Reasoning Under an Agent's Preferences. - Teeradaj Racharak; Satoshi Tojo; Nguyen Duy Hung; Prachya Boonkwan (IEA/AIE (2), 2017)

Concept Similarity under the Agent's Preferences for the Description Logic FL0 with Unfoldable TBox. - Teeradaj Racharak; Satoshi Tojo (ICAART (2), 2018)

Inherited Properties of ℱ_0 Concept Similarity Measure Under Preference Profile. - Teeradaj Racharak; Satoshi Tojo (ICAART (Revised Selected Papers), 2018)

Personalizing a Concept Similarity Measure in the Description Logic ELH with Preference Profile. - Teeradaj Racharak; Boontawee Suntisrivaraporn; Satoshi Tojo (Comput. Informatics, 2018)

Concept Similarity Under the Agent's Preferences for the Description Logic $ mathcal {A} ! mathcal {L} ! mathcal {E} ! mathcal {H}$. - Teeradaj Racharak; Watanee Jearanaiwongkul; Chutiporn Anutariya (JIST (2), 2019)

Abstract Argumentation for Summarizing Product Reviews: A Case Study in Shopee Thailand. - Teeradaj Racharak (KSE, 2019)

On Construction and Evaluation of Analogical Arguments for Persuasive Reasoning. - Teeradaj Racharak; Satoshi Tojo; Nguyen Duy Hung; Prachya Boonkwan (Appl. Artif. Intell., 2019)

Knowledge Injection to Neural Networks with Progressive Learning Strategy. - Ha-Thanh Nguyen; Trung-Kien Vu; Teeradaj Racharak; Le Minh Nguyen 001; Satoshi Tojo (ICAART (Revised Selected Papers), 2020)

Progressive Training in Recurrent Neural Networks for Chord Progression Modeling. - Trung-Kien Vu; Teeradaj Racharak; Satoshi Tojo; Ha-Thanh Nguyen; Le Minh Nguyen 001 (ICAART (2), 2020)

Can Knowledge Enhance Reading Comprehension? An Integrated Approach with Semantic Lexicon. - Kong Wei Kun; Teeradaj Racharak; Le-Minh Nguyen 001 (KSE, 2020)

On Explanation of Propositional Logic-based Argumentation System. - Teeradaj Racharak; Satoshi Tojo (ICAART (2), 2021)

On the Relationship with Toulmin Method to Logic-Based Argumentation. - Teeradaj Racharak; Satoshi Tojo (ICAART (Revised Selected Papers), 2021)

Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation. - May Myo Zin; Teeradaj Racharak; Nguyen Minh Le 001 (ICAART (2), 2021)

Multimodal Sentiment Analysis on Video Streams using Lightweight Deep Neural Networks. - Atitaya Yakaew; Matthew N. Dailey; Teeradaj Racharak (ICPRAM, 2021)

KGWE: A Knowledge-guided Word Embedding Fine-tuning Model. - Kong Wei Kun; Teeradaj Racharak; Yiming Cao; Peng Cheng; Minh Le Nguyen 001 (ICTAI, 2021)

A Summary of the ALQAC 2021 Competition. - Ha-Thanh Nguyen; Minh-Quan Bui; Chau Nguyen; Tung Le; Minh-Phuong Nguyen 001; 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)

On Approximation of Concept Similarity Measure in Description Logic ELH With Pre-Trained Word Embedding. - Teeradaj Racharak (IEEE Access, 2021)

TreatO Version 2: Rice Disease Control Ontology. - Watanee Jearanaiwongkul; Chutiporn Anutariya; Teeradaj Racharak; Frédéric Andrès (IEEE DataPort, 2021)

RiceDO Version 2: Rice Disease Ontology. - Watanee Jearanaiwongkul; Chutiporn Anutariya; Teeradaj Racharak; Frédéric Andrès (IEEE DataPort, 2021)

An Effective Method to Answer Multi-hop Questions by Single-hop QA System. - Kong Yuntao; Nguyen Minh Phuong 001; Teeradaj Racharak; Tung Le; Le Minh Nguyen 001 (ICAART (2), 2022)

Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification. - Teeradaj Racharak (ICONIP (5), 2022)

Learning Cross-modal Representations with Multi-relations for Image Captioning. - Peng Cheng; Tung Le; Teeradaj Racharak; Yiming Cao; Weikun Kong; Minh Le Nguyen 001 (ICPRAM, 2022)

Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks. - Teeradaj Racharak (ICTAI, 2022)

Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation. - May Myo Zin; Teeradaj Racharak; Minh Le Nguyen 001 (ICTAI, 2022)

Improving Emotion Recognition in Conversation using Text and Emoji Modalities. - Yanran Zhou; Teeradaj Racharak; Le-Minh Nguyen 001 (KSE, 2022)

TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding. - Kong Wei Kun; Xin Liu 020; Teeradaj Racharak; Le-Minh Nguyen 001 (ISWC (Posters/Demos/Industry), 2022)

Extractive Elementary Discourse Units for Improving Abstractive Summarization. - Ye Xiong; Teeradaj Racharak; Minh Le Nguyen 001 (SIGIR, 2022)

DbAPE: Denoising-Based APE System for Improving English-Myanmar NMT. - May Myo Zin; Teeradaj Racharak; Minh Le Nguyen 001 (IEEE Access, 2022)

NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering. - Tao Jin; Teeradaj Racharak; Le Minh Nguyen 001 (ACIIDS (2), 2023)

Can Ensemble Calibrated Learning Enhance Link Prediction? A Study on Commonsense Knowledge. - Teeradaj Racharak; Watanee Jearanaiwongkul; Khine Myat Thwe (ACIIDS (2), 2023)

Modelling an RDF Knowledge Graph with Transitivity and Symmetry for Bus Route Path Finding. - Rathachai Chawuthai; Natthawut Kertkeidkachorn; Teeradaj Racharak (AICCC, 2023)

Logic of Awareness in Agent's Reasoning. - Yudai Kubono; Teeradaj Racharak; Satoshi Tojo (ICAART (1), 2023)

Video-Based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons. - Wuttichai Vijitkunsawat; Teeradaj Racharak; Chau Nguyen; Nguyen Le Minh 001 (ICPRAM, 2023)

Deep Multimodal-based Number Finger Spelling Recognizer for Thai Sign Language. - Wuttichai Vijitkunsawat; Teeradaj Racharak; Le-Minh Nguyen 001 (ISCIT, 2023)

Gender Bias Analysis in Commonsense Knowledge Graph Embeddings. - Khine Myat Thwe; Teeradaj Racharak; Minh-Le Nguyen 001 (KSE, 2023)

WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs. - Wei Kun Kong; Xin Liu 020; Teeradaj Racharak; Guanqun Sun; Jianan Chen; Qiang Ma 001; Le-Minh Nguyen 001 (IEEE Access, 2023)

DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation. - Guanqun Sun; Yizhi Pan; Weikun Kong; Zichang Xu; Jianhua Ma; Teeradaj Racharak; Le-Minh Nguyen 001; Junyi Xin (CoRR, 2023)

BERT fine-tuned CORD-19 NER Dataset. - Shin Thant; Chutiporn Anutariya; Frédéric Andrès; Teeradaj Racharak (IEEE DataPort, 2023)

Parametric loss-based super-resolution for scene text recognition. - Supatta Viriyavisuthisakul; Parinya Sanguansat; Teeradaj Racharak; Nguyen Le Minh 001; Natsuda Kaothanthong; Choochart Haruechaiyasak; Toshihiko Yamasaki (Mach. Vis. Appl., 2023)

A Quantitative Assessment Framework for Modelling and Evaluation Using Representation Learning in Smart Agriculture Ontology. - Khadija Meghraoui; Teeradaj Racharak; Kenza Ait El Kadi; Saloua Bensiali; Imane Sebari (ICAART (3), 2024)

An Automated Medical Rdf Knowledge Graph Construction From Text Using in-Context Learning. - Teeradaj Racharak; Tongyu Wang; Watanee Jearanaiwongkul (KSE, 2024)

FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation. - Guanqun Sun; Han Shu; Feihe Shao; Teeradaj Racharak; Weikun Kong; Yizhi Pan; Jingjing Dong; Shuang Wang 002; Le-Minh Nguyen 001; Junyi Xin (IEEE Access, 2024)

A Comprehensive Benchmark and Evaluation of Thai Finger Spelling in Multi-Modal Deep Learning Models. - Wuttichai Vijitkunsawat; Teeradaj Racharak (IEEE Access, 2024)

A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. - Yao Wang; Xin Liu 020; Wei Kun Kong; Haitao Yu 003; Teeradaj Racharak; Kyoung-Sook Kim 001; Nguyen Le Minh 001 (IEEE Access, 2024)

A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images. - Yizhi Pan; Junyi Xin; Tianhua Yang; Teeradaj Racharak; Le-Minh Nguyen 001; Guanqun Sun (CoRR, 2024)

A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. - Yao Wang; Xin Liu 020; Weikun Kong; Haitao Yu 003; Teeradaj Racharak; Kyoung-Sook Kim 001; Le-Minh Nguyen 001 (CoRR, 2024)

Deep multimodal-based finger spelling recognition for Thai sign language: a new benchmark and model composition. - Wuttichai Vijitkunsawat; Teeradaj Racharak; Le-Minh Nguyen 001 (Mach. Vis. Appl., 2024)

Towards Assumption-Based Argumentation Mining in Hotel Reviews. - Teeradaj Racharak; Watanee Jearanaiwongkul; Jiraporn Pooksook; Kazuki Takashima (CLAR, 2025)

A Framework for Identifying Underspecification in Image Classification Pipeline Using Post-Hoc Analyzer. - Prabhat Parajuli; Teeradaj Racharak (ICPRAM, 2025)

A Strategy for Implementing Garbage Detection in Ontology Completion Using Description Logics. - Teeradaj Racharak; Chavakan Yimmark (IEA/AIE (1), 2025)

Test It Before You Trust It: Applying Software Testing for Trustworthy In-Context Learning. - Teeradaj Racharak; Chaiyong Ragkhitwetsagul; Chommakorn Sontesadisai; Thanwadee Sunetnanta (NLDB (1), 2025)

GSR-Fusion: A Deep Multimodal Fusion Architecture for Robust Sign Language Recognition Using RGB, Skeleton, and Graph-Based Modalities. - Wuttichai Vijitkunsawat; Teeradaj Racharak (IEEE Access, 2025)

Weight-aware tasks for evaluating knowledge graph embeddings. - Wei Kun Kong; Xin Liu 020; Teeradaj Racharak; Guanqun Sun; Qiang Ma 001; Le-Minh Nguyen 001 (Knowl. Based Syst., 2025)