Details of the Researcher

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Racharak Teeradaj
Section
Advanced Institute of So-Go-Chi (Convergence Knowledge) Informatics
Job title
Associate Professor
Degree
  • Ph.D. (Engineering and Technology), Thammasat University

  • Ph.D. (Information Science), Japan Advanced Institute of Science and Technology

  • M. Eng. (Computer Science) with specialization on Software Engineering, Asian Institute of Technology

  • B. Eng. (Software and Knowledge Engineering) with First Class Honours, Kasetsart University

Research History 10

  • 2025/04 - Present
    Japan Advanced Institute of Science and Technology Visiting Associate Professor

  • 2025/04 - Present
    Advanced Institute of So-Go-Chi (Convergence Knowledge) Informatics, Tohoku University Associate Professor

  • 2022/10 - 2025/03
    Japan Advanced Institute of Science and Technology School of Information Science Senior Lecturer (Junior Associate Professor)

  • 2022/03 - 2022/12
    Asian Institute of Technology Information and Communication Technologies Adjunct Faculty

  • 2019/04 - 2022/09
    Japan Advanced Institute of Science and Technology School of Information Science Assistant Professor

  • 2018 - 2018
    Lecturer (Artificial Intelligence), Thai Programmer Association, Thailand

  • 2018 - 2018
    Scrum Master Consultant (Part-time), Software Park Code Camp, Thailand

  • 2012 - 2014
    Software Development Engineer at Octosoft Co. Ltd., Thailand

  • 2012 - 2012
    Intern, National Institute of Informatics, Japan

  • 2010 - 2010
    Researcher, Institute for Information Technology Innovation, Kasetsart University, Thailand

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Education 10

  • Oxford Machine Learning Summer School (OxML 2022) by AI for Global Goals

    2022 - 2022

  • Oxford Machine Learning Summer School (OxML 2021) by AI for Global Goals

    2021 - 2021

  • Natural Language Processing by DeepLearning.AI on Coursera

    2021 - 2021

  • The Machine Learning Summer School Indonesia (a part of MLSS series), organized by University of Amsterdam and Telkom University

    2020 - 2020

  • AI for Medicine by DeepLearning.AI on Coursera

    2020 - 2020

  • Dimensionality Reduction using an Autoencoder in Python, an online non-credit course by Coursera Project Network

    2020 - 2020

  • TensorFlow Developer Professional Certificate by DeepLearning.AI on Coursera

    2019 - 2019

  • Deep Learning by DeepLearning.AI on Coursera

    2019 - 2019

  • Machine Learning by Stanford University on Coursera

    2019 - 2019

  • The 8th South-East Asian summer school on Computational Logic, organized by the International Center for Computational Logic, TU-Dresden

    2016 - 2016

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Committee Memberships 1

  • ISO/IEC JTC 1/SC 42, ISO/IEC JTC 1/SC 42/JWG 2, JISC/NMC/JTC 1/SC 42/JWG 2, JISC/NMC/JTC 1/SC 42 Committee member (ISO on Artificial Intelligence)

    2024/03 - Present

Professional Memberships 4

  • The Institute of Electrical and Electronics Engineers Incorporated

    2023 - Present

  • Association for Computing Machinery

    2022 - Present

  • Association for the Advancement of Artificial Intelligence

    2021 - Present

  • Institute for Systems and Technologies of Information, Control and Communication

    2015 - Present

Research Interests 6

  • Artificial Intelligence

  • Neuro-Symbolic AI

  • Explainable AI

  • Description Logic

  • Argumentation

  • Machine Learning

Research Areas 1

  • Informatics / Intelligent informatics /

Awards 6

  1. Committee Special Award

    2026/03 The 32nd Annual Meeting of the Association for Natural Language Processing (NLP 2026) Human-LLM Divergence in Temporal Reasoning under Mixed Time Expressions

  2. Best Poster Award

    2024/11 the 8th International Conference on Information Technology (InCIT 2024) Towards Identification of Underspecification Problem in Image Classification

  3. Google TensorFlow Faculty Award

    2021

  4. Best Presentation Award in the 6th annual International Conference on Information and Communication Technology for Embedded Systems (IC-ICTES 2015)

    2015

  5. Honorable Mention Winner of the National Software Contest of Thailand for the Web Contest category

    2010

  6. Honorable Mention Winner of the Windows Mobile Application Contest of Thailand

    2009

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Papers 104

  1. Ontology-Guided Scenario Control Generation for GenAI in Cybersecurity Serious Game Peer-reviewed

    Chanphot Wongtaweesup, Teeradaj Racharak, Watanee Jearanaiwongkul, Chutiporn Anutariya, Frederic Andres

    In Proceedings of the 15th International Joint Conference on Knowledge Graphs (IJCKG) 2026/11

  2. Explainable AI for Video Classification: Extending Intrinsically Interpretable Image Models to Facial Expression Recognition Peer-reviewed

    Teeradaj Racharak, Mulati Renati, Watanee Jearanaiwongkul, Shinobu Hasegawa

    In Proceedings of the 18th International Conference on Knowledge and Systems Engineering (KSE) 2026/11

  3. Klotski-Bench: A Diagnostic Benchmark for Structured Spatial State-Transition Reasoning in Large Language Models Peer-reviewed

    ZiHeng Zhong, Teeradaj Racharak

    In Proceedings of the 23rd Pacific Rim International Conference on Artificial Intelligence (PRICAI) 2026/11

  4. Contrary Mining as Neural Link Prediction for Assumption-Based Argument Mining Peer-reviewed

    Teeradaj Racharak, Kazuki Takashima, Watanee Jearanaiwongkul

    In Proceedings of the 33rd International Conference on Neural Information Processing (ICONIP) 2026/11

  5. Heatmap-Guided Spatial Weighting Improves Class-Discriminative SAE Feature Vector Extraction in Vision Transformers Peer-reviewed

    Chavakan Yimmark, Teeradaj Racharak

    In Proceedings of the 33rd International Conference on Neural Information Processing (ICONIP) 2026/11

  6. Metamorphic Testing for Assessing Behavioral Consistency of Open-source Large Language Models Peer-reviewed

    Watanee Jearanaiwongkul, Teeradaj Racharak, Chanidapha Soipool, Benjawan Chompootepa

    In Proceedings of the 25th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET), Kuala Lumpur, Malaysia, September 9-11, 2026 2026/09

  7. OpenRE-Bench: A Reproducible Evaluation Harness for Multi-Agent Requirements Engineering Frameworks Peer-reviewed

    Haowei Cheng, Milhan Kim, Foutse Khomh, Teeradaj Racharak, Nobukazu Yoshioka, Naoyasu Ubayashi, Hironori Washizaki

    In Proceedings of the 34th IEEE International Requirements Engineering Conference (RE 2026), Artifacts track, Montreal, Canada, August 17–21, 2026 2026/08

  8. QUARE: Quality-Aware Requirements Engineering through Multi-Agent Dialectic Negotiation Peer-reviewed

    Haowei Cheng, Milhan Kim, Foutse Khomh, Teeradaj Racharak, Nobukazu Yoshioka, Naoyasu Ubayashi, Hironori Washizaki

    In Proceedings of the 34th IEEE International Requirements Engineering Conference (RE 2026), Research Paper Track, pp. 1–11, Montreal, Canada, August 17–21, 2026 2026/08

  9. Answer Set Programming for Bus Route Finding: A Case Study in Bangkok, Thailand Peer-reviewed

    Teeradaj Racharak, Su yee Mon, Rathachai Chawuthai

    In Proceedings of the 23rd International Joint Conference on Computer Science and Software Engineering (JCSSE), Bangkok, Thailand 2026/06

  10. Temporal Reasoning Breaks under Mixed Time Expressions in LLMs

    Sun Feifei, Tong Ziyi, Wei Houjing, Peng Cheng, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 32nd Annual Meeting of the Association for Natural Language Processing, Utsunomiya City, Tochigi, March 9 - 13 2026/03

  11. Human-LLM Divergence in Temporal Reasoning under Mixed Time Expressions

    Sun Feifei, Tong Ziyi, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 32nd Annual Meeting of the Association for Natural Language Processing, Utsunomiya City, Tochigi, March 9 - 13 2026/03

  12. NPC: Automated Tool for Detecting and Explaining ChatGPT-Generated Programs Peer-reviewed

    Pachanitha Saeheng, Napat Boongaree, Chutweraya Sriwilailak, Chaiyong Ragkhitwetsagul, Teeradaj Racharak, Ekapol Chuangsuwanich

    In Proceedings of the 18th International Conference on Agents and Artificial Intelligence (ICAART), Mabella, Spain 2026/03

  13. When Time Becomes Sparse: Evaluating Temporal Reasoning Robustness in Large Language Models via Anchoring Density Control Peer-reviewed

    Feifei Sun, Ziyi Tong, Houjing Wei, Teeradaj Racharak, Le-Minh Nguyen

    IEEE Access 1-1 2026

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2026.3731685  

    eISSN: 2169-3536

  14. ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements Negotiation Peer-reviewed

    Haowei Cheng, Milhan Kim, Chong Liu, Teeradaj Racharak, Truong Vinh Truong Duy, Phan Thi Huyen Thanh, Jialong Li, Naoyasu Ubayashi, Hironori Washizaki

    IEEE Access 14 108729-108755 2026

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2026.3713484  

    eISSN: 2169-3536

  15. Morphology-Aware Distillation for Lightweight Retinal Vessel Segmentation Across Fundus Photography and OCT Angiography Peer-reviewed

    Han Shu, Guanqun SUN, Qi Yuan, Yizhi Pan, Weikun Kong, Yangyi Feng, Peng Cheng, Kai Li, Nguyen Le Minh, Teeradaj Racharak, Junyi Xin

    In Frontiers in Cell and Developmental Biology, section Molecular and Cellular Pathology 2026

  16. PromptOps: Automated Tool for Testing Trustworthiness of LLMs Peer-reviewed

    Chommakorn Sontesadisai, Chalisa Sae-Ngow, Jirateep Rudeerudchanawong, Lapatrada Dangsungnoen, Chaiyong Ragkhitwetsagul, Teeradaj Racharak, Thanwadee Sunetnanta

    In Proceedings of the 32nd Asia-Pacific Software Engineering Conference (APSEC 2025 Tool Track) 2025/12

  17. Benchmarking Temporal Reasoning: Can Large Language Models Navigate Time When Stories Refuse to Follow a Straight Line? Peer-reviewed

    Feifei Sun, Ziyi Tong, Houjing Wei, Cheng Peng, Teeradaj Racharak, Minh Le Nguyen

    In the NeurIPS Workshop on Foundations of Reasoning in Language Models (FoRLM), San Diego, California, December 6-7, 2025 2025/12

  18. Time Tells: Temporal Event Ordering in Frontier LLMs — Performance, Limitations, and Human Comparison Peer-reviewed

    Feifei Sun, Ziyi Tong, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation (PACLIC), December 5-7, 2025 2025/12

  19. Natural Language Explanation in Code Clone Detection using LLM-based Post Hoc Explainer Peer-reviewed

    Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chayanee Junplong, Akara Supratak

    In Proceedings of the 32nd Asia-Pacific Software Engineering Conference (APSEC), December 2-5, 2025 2025/12

  20. JSimELHExplainer: A Robust JAVA Library for Explainable Semantic Similarity for ELH Description Logic Ontology Peer-reviewed

    Teeradaj Racharak, Watanee Jearanaiwongkul

    In Poster Proceedings of the 24th International Semantic Web Conference (ISWC), November 2-6, 2025 2025/11

  21. Human-Friendly Explanation for Ontology-based Concept Similarity: Design and Development Peer-reviewed

    Watanee Jearanaiwongkul, Teeradaj Racharak

    In Poster Proceedings of the 24th International Semantic Web Conference (ISWC), November 2-6, 2025 2025/11

  22. Find a Contrary in Hotel Reviews Booking.com: A Corpus Creation for Contrary Mining Task of Assumption-based Argument Mining Peer-reviewed

    Watanee Jearanaiwongkul, Teeradaj Racharak, Jiraporn Pooksook

    In Proceedings of the 3rd International Conference on Data Science & Artificial Intelligence (DS&AI 2025), Sri Lanka, November 19-21, 2025 2025/11

  23. Toward a Responsible and Inclusive AI-Learning Ecosystem Peer-reviewed

    Frederic Andres, Teeradaj Racharak, Gerlinde Weger, Andreas Pester, Chandrasekhar Anantaram

    Advances in Computational Intelligence and Robotics 263-270 2025/09/19

    Publisher: IGI Global Scientific Publishing

    DOI: 10.4018/979-8-3373-2235-3.ch008  

    ISSN: 2327-0411

    eISSN: 2327-042X

    More details Close

    This concluding chapter synthesizes insights from the volume, highlighting the transformative potential of AI in education alongside the ethical, cultural, and pedagogical challenges it raises. Common themes include balancing standardization with innovation, ensuring fairness for neurodiverse and culturally diverse learners, and fostering responsible AI mindsets. Looking ahead, the chapter outlines priorities for future research on ethical benchmarks, inclusive design, and human–AI collaboration. Policy implications center on aligning global standards and safeguarding learners' rights. International collaboration is emphasized as essential to building a responsible and inclusive AI-learning ecosystem grounded in shared values and collective innovation.

  24. Standards-Based AI Innovation for the Learning Ecosystem Peer-reviewed

    Frederic Andres, Teeradaj Racharak, Gerlinde Weger, Andreas Pester, Chandrasekhar Anantaram

    Advances in Computational Intelligence and Robotics 2025/09/19

    Publisher: IGI Global Scientific Publishing

    DOI: 10.4018/979-8-3373-2235-3  

    ISSN: 2327-0411

    eISSN: 2327-042X

  25. AI Literacy in Code: Identifying and Explaining ChatGPT-Generated Programs in Educational Settings Peer-reviewed

    Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Napat Boongaree, Chutweeraya Sriwilailak, Pachanitha Saeheng, Ekapol Chuangsuwanich

    Standards-Based AI Innovation for the Learning Ecosystem (IGI Global Scientific Publishing) 2025/09/19

    DOI: 10.4018/979-8-3373-2235-3.ch007  

  26. T-GreC at LLMs4OL 2025 Task B: A Report on Term-Typing Task of OBI dataset using LLM with k-Nearest Neighbors

    Chavakan Yimmark, Teeradaj Racharak

    Open Conference Proceedings 6 2025/09/18

    ISSN: 2749-5841

    More details Close

    This report presents an approach that combines large language models' (LLMs) embedding with k-nearest neighbors (k-NN) for the term-typing task on the OBI (Ontology for Biomedical Investigations) dataset. We investigate the effectiveness of transformer models namely PubMedBERT, BioBERT, DeBERTa-v3, and RoBERTa with k-NN classification using the embedding of each respective model. Our experimental results demonstrate that fine-tuned LLMs not only have the capability to do term typing on their own but also can learn effective embeddings that are exploitable by k-NN for solving the task, with RoBERTa achieving the highest F1 score of 0.827 and k-NN using embedding from the model with score of 0.862. The study reveals that embeddings from transformer models, when used as semantic representations for similarity-based method, improve classification accuracy in this specific case.

  27. A Strategy for Implementing Garbage Detection in Ontology Completion using Description Logics Peer-reviewed

    Teeradaj Racharak, Chavakan Yimmark

    In Proceedings of the 38th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE) 2025/07

  28. Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Peer-reviewed

    Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chommakorn Sontesadisai, Thanwadee Sunetnanta

    In Proceedings of the 30th International Conference on Natural Language & Information Systems (NLDB) 2025/07

  29. A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale Peer-reviewed

    Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari

    Artificial Intelligence in Geosciences 6 (1) 100125-100125 2025/06

    Publisher: Elsevier BV

    DOI: 10.1016/j.aiig.2025.100125  

    ISSN: 2666-5441

  30. Towards Assumption-based Argumentation Mining in Hotel Reviews Peer-reviewed

    Teeradaj Racharak, Watanee Jearanaiwongkul, Jiraporn Pooksook, Kazuki Takashima

    In Proceedings of the 6th International Conference on Logic and Argumentation (CLAR) 2025/06

  31. Weight-aware tasks for evaluating knowledge graph embeddings Peer-reviewed

    Wei-Kun Kong, Xin Liu, Teeradaj Racharak, Guanqun Sun, Qiang Ma, Le-Minh Nguyen

    Knowledge-Based Systems 320 113596-113596 2025/06

    Publisher: Elsevier BV

    DOI: 10.1016/j.knosys.2025.113596  

    ISSN: 0950-7051

  32. A Framework for Identifying Underspecification in Image Classification Pipeline using Post-hoc Analyzer Peer-reviewed

    Prabhat Parajuli, Teeradaj Racharak

    In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2025/02

  33. Generative AI for Requirements Engineering: A Systematic Literature Review Peer-reviewed

    Haowei Cheng, Jati H. Husen, Yijun Lu, Teeradaj Racharak, Nobukazu Yoshioka, Naoyasu Ubayashi, Hironori Washizaki

    Software - Practice and Experience 2025

  34. GSR-Fusion: A Deep Multimodal Fusion Architecture for Robust Sign Language Recognition Using RGB, Skeleton, and Graph-Based Modalities Peer-reviewed

    Wuttichai Vijitkunsawat, Teeradaj Racharak

    IEEE Access 13 108235-108254 2025

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2025.3581683  

    eISSN: 2169-3536

  35. Decoder-Focused Knowledge Distillation for Lightweight U-Net Segmentation in Medical Imaging Peer-reviewed

    Han Shu, Guanqun Sun, Yizhi Pan, Qi Yuan, Yangyi Feng, Peng Cheng, Kai Li, Le-Minh Nguyen, Teeradaj Racharak, Junyi Xin

    Scientific Reports 2025

  36. ChatBlock: A Block-Based Chatbot Framework for Supporting Young Learners and the Classroom Authoring for Teachers

    Chutiporn Anutariya, Hathaichanok Chawmungkrung, Watanee Jearanaiwongkul, Teeradaj Racharak

    Technologies 2024/12

    DOI: 10.3390/technologies13010001  

  37. A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images Peer-reviewed

    Pan Yizhi, Junyi Xin, Tianhua Yang, Siqi Li, Le-Minh Nguyen, Teeradaj Racharak, Kai Li, Guanqun Sun

    In Frontiers in Bioengineering and Biotechnology, section Biosensors and Biomolecular Electronics 2024/12

  38. A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations

    Yao Wang, Xin Liu, Wei kun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Minh Le Nguyen

    In (the Encore Track of) Australasian Database Conference (ADC) 2024/12

  39. Towards Benchmarking Description Logic Learning Peer-reviewed

    Tongyu Wang, Teeradaj Racharak, Prabhat Parajuli, Kazuki Takashima

    In (the Poster Session of) the 8th International Conference on Information Technology (InCIT) 2024/11

  40. Towards Identification of Underspecification Problem in Image Classification Peer-reviewed

    Prabhat Parajuli, Teeradaj Racharak

    In (the Poster Session of) the 8th International Conference on Information Technology (InCIT) 2024/11

  41. An Automated Medical RDF Knowledge Graph Construction from Text using In-context Learning Peer-reviewed

    Teeradaj Racharak, Tongyu Wang, Watanee Jearanaiwongkul

    In Proceedings of the 16th International Conference on Knowledge and Systems Engineering (KSE) 2024/11

  42. AutoMedKG: Prompt Engineering for A Medical RDF Knowledge Graph Construction from Text

    Teeradaj Racharak, Tongyu Wang, Watanee Jearanaiwongkul

    In International Workshop on Forging Trust in Artificial Intelligence (ForgtAI) in conjunction with IEEE IJCNN 2024 2024/06

  43. A Quantitative Assessment Framework for Modelling and Evaluation using Representation Learning in Smart Agriculture Ontology Peer-reviewed

    Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari

    In Proceedings of 16th International Conference on Agents and Artificial Intelligence (ICAART) 2024/02

  44. FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation Peer-reviewed

    Guanqun Sun, Han Shu, Feihe Shao, Teeradaj Racharak, Weikun Kong, Yizhi Pan, Jingjing Dong, Shuang Wang, Le-Minh Nguyen, Junyi Xin

    IEEE Access 12 33687-33704 2024

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2024.3372394  

    eISSN: 2169-3536

  45. DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation Peer-reviewed

    Guanqun SUN, Yizhi Pan, Weikun Kong, Zichang Xu, Jianhua Ma, Teeradaj Racharak, Le-Minh Nguyen, Junyi Xin

    In Frontiers in Bioengineering and Biotechnology, section Biosensors and Biomolecular Electronics 2024

  46. A Comprehensive Benchmark and Evaluation of Thai Finger Spelling in Multi-Modal Deep Learning Models Peer-reviewed

    Wuttichai Vijitkunsawat, Teeradaj Racharak

    IEEE Access 12 158079-158093 2024

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2024.3486729  

    eISSN: 2169-3536

  47. A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations

    Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Minh Le Nguyen

    IEEE Access 1-1 2024

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2024.3420877  

    eISSN: 2169-3536

  48. Modelling an RDF Knowledge Graph with Transitivity and Symmetry for Bus Route Path Finding Peer-reviewed

    Rathachai Chawuthai, Natthawut Kertkeidkachorn, Teeradaj Racharak

    In Proceedings of the 6th Artificial Intelligence and Cloud Computing Conference (AICCC) 2023/12

  49. ThaiSpoof: A Database for Spoof Detection in Thai Language Peer-reviewed

    Kasorn Galaji, Thunpisit Kosolsriwiwa, Masashi Unoki, Candy Olivia Mawalim, Pakinee Aimmanee, Waree Kongprawechnon, Win Pa Pa, Anuwat Chaiwongyen, Teeradaj Racharak, Surasak Boonkla, Hayati Yassin, Jessada Karnjana

    In Proceedings of the 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2023) 2023/11

  50. BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition Peer-reviewed

    Shin Than, Teeradaj Racharak, Frederic Andres

    In Proceedings of the 1st International Conference of Data Science and Artificial Intelligence (DSAI) 261-275 2023/11

    Publisher: Springer Nature Singapore

    DOI: 10.1007/978-981-99-7969-1_19  

    ISSN: 1865-0929

    eISSN: 1865-0937

  51. Parametric Loss based Super-Resolution for Scene Text Recognition Peer-reviewed

    Supatta Viriyavisuthisakul, Parinya Sanguansa, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki

    In the Women in Computer Vision Workshop in conjunction with ICCV 2023 2023/10

  52. Deep Multimodal-Based Number Finger Spelling Recognizer for Thai Sign Language Peer-reviewed

    Wuttichai Vijitkunsawa, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the International Symposium on Communications and Information Technologies (ISCIT) 2023/10

  53. Gender Bias Analysis in Commonsense Knowledge Graph Embeddings Peer-reviewed

    Khine Myat Thwe, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 15th IEEE International Conference on Knowledge and Systems Engineering (KSE) 2023/10

  54. NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering Peer-reviewed

    Tao Jin, Teeradaj Racharak, Minh Le Nguyen

    In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS) 2023/07

  55. Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge Peer-reviewed

    Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe

    In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS) 2023/07

  56. Text Recognition in Low Resolution Images Using Trainable Regularization

    Supatta Viriyavisuthisakul, Parinya Sanguansa, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki

    In the 37th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI) 2023/06

  57. Parametric Loss based Super-Resolution for Scene Text Recognition Peer-reviewed

    Supatta Viriyavisuthisakul, Parinya Sanguansa, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki

    In Machine Vision and Applications 34 (4) 2023/06

  58. A Parametric Weight Method for Scene Text Image Super-Resolution

    Supatta Viriyavisuthisakul, Parinya Sanguanse, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki

    In Image Engineering Study Group (IE), IEICE 2023/02

  59. Logic of Awareness in Agent’s Reasoning Peer-reviewed

    Yudai Kubono, Teeradaj Racharak, Satoshi Tojo

    In Proceedings of 15th International Conference on Agents and Artificial Intelligence (ICAART) 207-216 2023/02

    Publisher: SCITEPRESS

    DOI: 10.5220/0011630300003393  

  60. Video-based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons Peer-reviewed

    Wuttichai Vijitkunsawa, Teeradaj Racharak, Chau Nguyen, Le-Minh Nguyen

    In Proceedings of 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2023/02

  61. WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs

    Kong Wei Kun, Xin Liu, Teeradaj Racharak, Guanqun Sun, Jianan Chen, Qiang Ma, Le-Minh Nguyen

    IEEE Access 1-1 2023

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2023.3276319  

    eISSN: 2169-3536

  62. Lasso, Ridge, and Elastic Net Regularized Generative Adversarial Networks for Single Image Super-Resolution

    Supatta Viriyavisuthisakul, Natsuda Kaothanthong, Parinya Sanguansa, Minh Le Nguyen, Teeradaj Racharak, Choochart Haruechaiyasak, Toshihiko Yamasaki

    In the 25th Information-Based Induction Sciences Workshop (IBIS) 2022/11

  63. Text Scene Image Super-Resolution with Parametric Weight Loss

    Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki

    In the Image Coding Symposium / Image Media Processing Symposium (PCSJ/IMP), Shizuoka, Japan 2022/11

  64. Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification Peer-reviewed

    Teeradaj Racharak

    In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP) 2022/11

  65. Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks Peer-reviewed

    Teeradaj Racharak

    In Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2022/10

  66. Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation Peer-reviewed

    May Myo Zin, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2022/10

  67. Improving Emotion Recognition in Conversation using Text and Emoji Modalities Peer-reviewed

    Yanran Zhou, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 14th IEEE International Conference on Knowledge and Systems Engineering (KSE), 2022 2022/10

  68. TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding Peer-reviewed

    Wei Kun Kong, Xin Liu, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 21st International Semantic Web Conference (ISWC) 2022/10

  69. Lasso, Ridge, and Elastic Net Regularized Generative Adversarial Networks for Single Image Super-Resolution

    Supatta Viriyavisuthisakul, Natsuda Kaothanthong, Parinya Sanguansat, Minh Le Nguyen, Teeradaj Racharak, Choochart Haruechaiyasak, Toshihiko Yamasaki

    In the 25th Meeting on Image Recognition and Understanding (MIRU), Himeji, Japan 2022/07

  70. DbAPE: Denoising-based APE System for Improving English-Myanmar NMT Peer-reviewed

    May Myo Zin, Teeradaj Racharak, Minh Le Nguyen

    IEEE Access 10 1-1 2022

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI: 10.1109/access.2022.3185415  

    eISSN: 2169-3536

  71. Extractive Elementary Discourse Units for Improving Abstractive Summarization Peer-reviewed

    Ye Xiong, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022

  72. A Regularization-based Generative Adversarial Network For Single Image Super-Resolution Peer-reviewed

    Supatta Viriyavisuthisakul, Natsuda Kaothanthong, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Choochart Haruechaiyasak, Toshihiko Yamasaki

    In Proceedings of the 11th International Workshop on Image Media Quality and its Applications (IMQA) 2022

  73. Learning Cross-Modal Representations with Multi-Relations for Image Captioning Peer-reviewed

    Cheng Peng, Tung Le, Teeradaj Racharak, Yiming Cao, Weikun Kong, Le-Minh Nguyen

    In Proceedings of 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2022

  74. An Effective Method to Answer Multi-Hop Questions by Single-Hop QA System Peer-reviewed

    Yuntao Kong, Phuong Nguyen, Teeradaj Racharak, Tung Le, Le-Minh Nguyen

    In Proceedings of 14th International Conference on Agents and Artificial Intelligence (ICAART) 2022

  75. On the Relationship with Toulmin Method to Logic-based Argumentation Peer-reviewed

    Teeradaj Racharak and Satoshi Tojo

    In Agents and Artificial Intelligence, Lecture Notes in Computer Science, Springer International Publishing 13251 LNAI 197-207 2021

    DOI: 10.1007/978-3-031-10161-8_10  

    ISSN: 0302-9743

    eISSN: 1611-3349

  76. TreatO Version 2: Rice Disease Control Ontology

    Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres

    IEEE Dataport 2021; DOI:10.21227/5016-aw09 2021

  77. RiceDO Version 2: Rice Disease Ontology

    Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres

    IEEE Dataport 2021; DOI:10.21227/5ndq-4222 2021

  78. A Summary of the ALQAC 2021 Competition Peer-reviewed

    Nguyen Ha Thanh, Bui Minh Quan, Chau Nguyen, Tung Le, Nguyen Minh Phuong, Dang Tran Binh, Vuong Thi, Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Tran Duc Vu, Phan Viet Anh, Nguyen Truong Son, Huy Tien Nguyen, Bhumindr Butr-indr, Peerapon Vateekul, Prachya Boonkwan

    Proceedings of the 13th International Conference on Knowledge and Systems Engineering (KSE), Virtual, 2021 1-5 2021

    Publisher: IEEE

    DOI: 10.1109/KSE53942.2021.9648724  

  79. An Ontology-based Expert System for Rice Disease Identification and Control Recommendation Peer-reviewed

    Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres

    Applied Sciences, 2021, 11, 10450. DOI: 10.3390/app112110450 2021

  80. KGWE: A Knowledge-guided Word Embedding Fine-tuning Model Peer-reviewed

    Wei Kun Kong, Teeradaj Racharak, Yiming Cao, Cheng Peng, Minh Le Nguyen

    In Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2021

  81. On Approximation of Concept Similarity Measure in Description Logic ELH with Pre-trained Word Embedding Peer-reviewed

    Teeradaj Racharak

    IEEE Access 2021

  82. Multimodal Sentiment Analysis on Video Streams Using Lightweight Deep Neural Networks Peer-reviewed

    Atitaya Yakaew, Matthew, N. Dailey, Teeradaj Racharak

    In Proceedings of 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2021

  83. On Explanation of Propositional Logic-based Argumentation System Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo

    In Proceedings of 13th International Conference on Agents and Artificial Intelligence (ICAART) 323-332 2021

    Publisher: SCITEPRESS

    DOI: 10.5220/0010318103230332  

  84. Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation Peer-reviewed

    May Myo Zin, Teeradaj Racharak, Minh Le Nguyen

    In Proceedings of 13th International Conference on Agents and Artificial Intelligence (ICAART) 2021

    Publisher: SCITEPRESS - Science and Technology Publications

    DOI: 10.5220/0010318903330342  

  85. Knowledge Injection to Neural Networks with Progressive Learning Strategy Peer-reviewed

    Nguyen Ha Thanh, Trung-Kien Vu, Teeradaj Racharak, Nguyen Le Minh, Satoshi Tojo

    In Agents and Artificial Intelligence, Lecture Notes in Computer Science, vol 12613, Springer International Publishing, pp. 280 – 290 280-290 2020

    Publisher: Springer

    DOI: 10.1007/978-3-030-71158-0_13  

  86. Can Knowledge Enhance Reading Comprehension? An Integrated Approach with Semantic Lexicon Peer-reviewed

    Wei Kun Kong, Teeradaj Racharak, Minh Le Nguyen

    Proceedings of the 11th IEEE International Conference on Knowledge and Systems Engineering (KSE), Can Tho, Vietnam, 2020 2020

  87. Toward Forecast Techniques in Optimal Sizing of Energy Storage System with Volatile Energy Sources for Hybrid Renewable Energy System Peer-reviewed

    Akanit Kwangkaew, Teeradaj Racharak, Chalie Charoenlarpnopparut

    In proceedings of International Conference on Smart Grids and Energy Systems (SGES), Perth, Australia 2020

  88. Progressive Training in Recurrent Neural Networks for Chord Progression Modeling Peer-reviewed

    Trung-Kien Vu, Teeradaj Racharak, Satoshi Tojo, Nguyen Ha Thanh, Nguyen Le Minh

    Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART), Valletta, Malta 89-98 2020

    Publisher: SCITEPRESS

    DOI: 10.5220/0008951500890098  

  89. On Construction and Evaluation of Analogical Arguments for Persuasive Reasoning Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan

    Applied Artificial Intelligence 33 (13) 1107-1132 2019/09

    DOI: 10.1080/08839514.2019.1646026  

  90. 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

    Semantic Technology - 9th Joint International Conference 34-42 2019

    Publisher: Springer

    DOI: 10.1007/978-981-15-3412-6_4  

  91. Abstract Argumentation for Summarizing Product Reviews: A Case Study in Shopee Thailand Peer-reviewed

    Teeradaj Racharak

    Proceedings of the 11th IEEE International Conference on Knowledge and Systems Engineering (KSE) 2019

  92. Concept Similarity under the Agent’s Preferences for the Description Logic ALEH Peer-reviewed

    Teeradaj Racharak, Watanee Jearanaiwongkul, Chutiporn Anutariya

    Proceedings of the 9th Joint International Semantic Technology Conference (JIST), Hangzhou, China 2019

  93. Inherited Properties of FL0 concept similarity measure under preference profile Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo

    In Agents and Artificial Intelligence, Lecture Notes in Computer Science, vol 11352, Springer International Publishing, pp. 343 – 360 11352 LNAI 343-360 2018

    DOI: 10.1007/978-3-030-05453-3_16  

    ISSN: 0302-9743

    eISSN: 1611-3349

  94. Concept similarity under the agent’s preference for the description logic FL0 with unfoldable TBox Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo

    Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART) 201-210 2018

  95. Personalizing a concept similarity measure in the description logic ELH with preference profile Peer-reviewed

    Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo

    Computing and Informatics 37 (3) 581-613-613 2018

    DOI: 10.4149/cai_2018_3_581  

    ISSN: 1335-9150

    eISSN: 2585-8807

  96. Analogical reasoning in clinical practice with description logic ELH Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo

    In Jaap van den Herik, Ana Paula Rocha and Joaquim Filipe (eds) Agents and Artificial Intelligence, Lecture Notes in Computer Science, vol 10839, Springer International Publishing, pp. 179 - 204 179-204 2017

    Publisher: Springer

    DOI: 10.1007/978-3-319-93581-2_10  

  97. Argument-based logic programming for analogical reasoning Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10247 253-269 2017

    Publisher: Springer Verlag

    DOI: 10.1007/978-3-319-61572-1_17  

    ISSN: 1611-3349 0302-9743

    eISSN: 1611-3349

  98. Combining answer set programming with description logics for analogical reasoning under an agent’s preferences Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10351 306-316 2017

    Publisher: Springer Verlag

    DOI: 10.1007/978-3-319-60045-1_33  

    ISSN: 1611-3349 0302-9743

    eISSN: 1611-3349

  99. Tuning Agent's Profile for Similarity Measure in Description Logic ELH Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo

    ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2 287-298 2017

    DOI: 10.5220/0006249602870298  

  100. Argument-based logic programming for analogical reasoning Peer-reviewed

    Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan

    Kurahashi S., Ohta Y., Arai S., Satoh K., Bekki D. (eds) New Frontiers in Artificial Intelligence, JSAI-isAI 2016, Lecture Notes in Artificial Intelligence 10247 253-269 2016

  101. Identifying an agent’s preferences toward similarity measures in description logics Peer-reviewed

    Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9544 201-208 2016

    Publisher: Springer Verlag

    DOI: 10.1007/978-3-319-31676-5_14  

    ISSN: 1611-3349 0302-9743

    eISSN: 1611-3349

  102. sim^pi: a concept similarity measure under an agent’s preferences in description logic ELH Peer-reviewed

    Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo

    Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART) 480-487-487 2016

    Publisher: SciTePress

    DOI: 10.5220/0005813404800487  

  103. Similarity Measures for FL0 Concept Descriptions from an Automata-Theoretic Point of View Peer-reviewed

    Teeradaj Racharak, Boontawee Suntisrivaraporn

    2015 6TH INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY FOR EMBEDDED SYSTEMS (IC-ICTES) 1-6 2015

    DOI: 10.1109/ICTEmSys.2015.7110811  

  104. Collaborative planning using hierarchical task network Peer-reviewed

    Teeradaj Racharak

    International Journal of Computer Theory and Engineering 5 (3) 557-561 2013

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Research Projects 8

  1. Embodied Emotion in Human Body Movements

    2026/04 - 2029/03

  2. Are Embeddings All We Need for Knowledge Base Completion? Insights from Description Logicians

    Offer Organization: Research grant for fundamental research (萌芽的研究支援), JAIST

    2024/04 - 2025/03

  3. Similarity Retrieval Algorithm for Virtual Knowledge Graph

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists

    Category: Grant-in-Aid for Early-Career Scientists

    Institution: Japan Advanced Institute of Science and Technology

    2022/04 - 2025/03

  4. An Explainable Deceptive Opinion Detection Framework based on Value-based Argumentation and Explanatory Classifiers

    Offer Organization: Research grant for fundamental research (萌芽的研究支援), JAIST

    2023/04 - 2024/03

  5. Creation of Explainable AI System by Integration of Formal Argumentation and Machine Learning

    Offer Organization: Research grant for fundamental research (萌芽的研究支援), JAIST

    2022/04 - 2023/03

  6. DL2Vec: An Embedding Algorithm for Description Logic Ontology

    Offer Organization: Research grant for fundamental research (萌芽的研究支援), JAIST

    2021/04 - 2022/03

  7. Responsible AI with ML/DL Libraries

    Offer Organization: Google TensorFlow Faculty Award, Google AI and the TensorFlow team

    2021/08 -

  8. An Interpretable Explanatory Classification Framework based on Neural Networks and Abstract Argumentation

    Offer Organization: Research grant for fundamental research (萌芽的研究支援), JAIST

    2020/04 - 2021/03

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Social Activities 13

  1. Editors-in-Chief, International Journal of Agricultural and Environmental Information Systems, IGI Global

    2021 - Present

  2. Reviewer, Applied Artificial Intelligence, Taylor & Francis

    2020 - Present

  3. Editor Assistant, Journal of Intelligent Informatics and Smart Technology, AIAT

    2019 - Present

  4. Session Chair (Game, VR; Machine Learning), JCSSE 2021

    2021 - 2021

  5. Session Organizing Committee, AEIS 2021 (with KSE 2021)

    2021 - 2021

  6. Workshop Organizing Committee, ALQAC 2021 (with KSE 2021)

    2021 - 2021

  7. Conference Organizing Committee, KSE 2021

    2021 - 2021

  8. Technical Program Committee, KICSS 2021, isAI-NLP 2021, PRICAI 2021

    2021 - 2021

  9. Technical Program Committee, ICSEC 2020, KSE 2020

    2020 - 2020

  10. Session Organizing Committee, ANLP 2019 (with KSE 2021)

    2019 - 2019

  11. Conference Organizing Committee, STUD 2019

    2019 - 2019

  12. Technical Program Committee, KSE 2019

    2019 - 2019

  13. (Sub) Reviewer, IJCAR 2018

    2018 - 2018

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