研究者詳細

顔写真

ラチヤラク　テイーラデチ
Racharak Teeradaj
Racharak Teeradaj
所属
総合知インフォマティクス研究センター　ＡＩアルゴリズム部門
職名
准教授
学位

  • 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

経歴 10

  • 2025年4月 ～ 継続中
    北陸先端科学技術大学院大学　客員准教授

  • 2025年4月 ～ 継続中
    東北大学 総合知インフォマティクス研究センター　准教授

  • 2022年10月 ～ 2025年3月
    北陸先端科学技術大学院大学　情報科学系　講師

  • 2022年3月 ～ 2022年12月
    Asian Institute of Technology　Information and Communication Technologies　Adjunct Faculty

  • 2019年4月 ～ 2022年9月
    北陸先端科学技術大学院大学　情報科学系

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

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

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

  • 2012年 ～ 2012年
    Intern, National Institute of Informatics, Japan

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

︎全件表示 ︎最初の5件までを表示

学歴 10

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

    2022年 ～ 2022年

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

    2021年 ～ 2021年

  • Natural Language Processing by DeepLearning.AI on Coursera

    2021年 ～ 2021年

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

    2020年 ～ 2020年

  • AI for Medicine by DeepLearning.AI on Coursera

    2020年 ～ 2020年

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

    2020年 ～ 2020年

  • TensorFlow Developer Professional Certificate by DeepLearning.AI on Coursera

    2019年 ～ 2019年

  • Deep Learning by DeepLearning.AI on Coursera

    2019年 ～ 2019年

  • Machine Learning by Stanford University on Coursera

    2019年 ～ 2019年

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

    2016年 ～ 2016年

︎全件表示 ︎最初の5件までを表示

委員歴 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年3月 ～ 継続中

所属学協会 4

  • The Institute of Electrical and Electronics Engineers Incorporated

    2023年 ～ 継続中

  • Association for Computing Machinery

    2022年 ～ 継続中

  • Association for the Advancement of Artificial Intelligence

    2021年 ～ 継続中

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

    2015年 ～ 継続中

研究キーワード 6

  • Artificial Intelligence

  • Neuro-Symbolic AI

  • Explainable AI

  • Description Logic

  • Argumentation

  • Machine Learning

研究分野 1

  • 情報通信 / 知能情報学 /

受賞 6

  1. Committee Special Award

    2026年3月　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年11月　the 8th International Conference on Information Technology (InCIT 2024)　Towards Identification of Underspecification Problem in Image Classification

  3. Google TensorFlow Faculty Award

    2021年

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

    2015年

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

    2010年

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

    2009年

︎全件表示 ︎最初の5件までを表示

論文 104

  1. Ontology-Guided Scenario Control Generation for GenAI in Cybersecurity Serious Game 査読有り

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

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

  2. Explainable AI for Video Classification: Extending Intrinsically Interpretable Image Models to Facial Expression Recognition 査読有り

    Teeradaj Racharak, Mulati Renati, Watanee Jearanaiwongkul, Shinobu Hasegawa

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

  3. Klotski-Bench: A Diagnostic Benchmark for Structured Spatial State-Transition Reasoning in Large Language Models 査読有り

    ZiHeng Zhong, Teeradaj Racharak

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

  4. Contrary Mining as Neural Link Prediction for Assumption-Based Argument Mining 査読有り

    Teeradaj Racharak, Kazuki Takashima, Watanee Jearanaiwongkul

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

  5. Heatmap-Guided Spatial Weighting Improves Class-Discriminative SAE Feature Vector Extraction in Vision Transformers 査読有り

    Chavakan Yimmark, Teeradaj Racharak

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

  6. Metamorphic Testing for Assessing Behavioral Consistency of Open-source Large Language Models 査読有り

    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年9月

  7. OpenRE-Bench: A Reproducible Evaluation Harness for Multi-Agent Requirements Engineering Frameworks 査読有り

    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年8月

  8. QUARE: Quality-Aware Requirements Engineering through Multi-Agent Dialectic Negotiation 査読有り

    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年8月

  9. Answer Set Programming for Bus Route Finding: A Case Study in Bangkok, Thailand 査読有り

    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年6月

  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年3月

  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年3月

  12. NPC: Automated Tool for Detecting and Explaining ChatGPT-Generated Programs 査読有り

    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年3月

  13. When Time Becomes Sparse: Evaluating Temporal Reasoning Robustness in Large Language Models via Anchoring Density Control 査読有り

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

    IEEE Access　1-1　2026年

    出版者・発行元： 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 査読有り

    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年

    出版者・発行元： 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 査読有り

    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年

  16. PromptOps: Automated Tool for Testing Trustworthiness of LLMs 査読有り

    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年12月

  17. Benchmarking Temporal Reasoning: Can Large Language Models Navigate Time When Stories Refuse to Follow a Straight Line? 査読有り

    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年12月

  18. Time Tells: Temporal Event Ordering in Frontier LLMs — Performance, Limitations, and Human Comparison 査読有り

    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年12月

  19. Natural Language Explanation in Code Clone Detection using LLM-based Post Hoc Explainer 査読有り

    Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chayanee Junplong, Akara Supratak

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

  20. JSimELHExplainer: A Robust JAVA Library for Explainable Semantic Similarity for ELH Description Logic Ontology 査読有り

    Teeradaj Racharak, Watanee Jearanaiwongkul

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

  21. Human-Friendly Explanation for Ontology-based Concept Similarity: Design and Development 査読有り

    Watanee Jearanaiwongkul, Teeradaj Racharak

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

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

    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年11月

  23. Toward a Responsible and Inclusive AI-Learning Ecosystem 査読有り

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

    Advances in Computational Intelligence and Robotics　263-270　2025年9月19日

    出版者・発行元： IGI Global Scientific Publishing

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

    ISSN：2327-0411

    eISSN：2327-042X

    詳細を見る 詳細を閉じる

    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 査読有り

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

    Advances in Computational Intelligence and Robotics　2025年9月19日

    出版者・発行元： 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 査読有り

    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年9月19日

    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年9月18日

    ISSN：2749-5841

    詳細を見る 詳細を閉じる

    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 査読有り

    Teeradaj Racharak, Chavakan Yimmark

    In Proceedings of the 38th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE)　2025年7月

  28. Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning 査読有り

    Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chommakorn Sontesadisai, Thanwadee Sunetnanta

    In Proceedings of the 30th International Conference on Natural Language & Information Systems (NLDB)　2025年7月

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

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

    Artificial Intelligence in Geosciences　6　(1)　100125-100125　2025年6月

    出版者・発行元： Elsevier BV

    DOI： 10.1016/j.aiig.2025.100125 　

    ISSN：2666-5441

  30. Towards Assumption-based Argumentation Mining in Hotel Reviews 査読有り

    Teeradaj Racharak, Watanee Jearanaiwongkul, Jiraporn Pooksook, Kazuki Takashima

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

  31. Weight-aware tasks for evaluating knowledge graph embeddings 査読有り

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

    Knowledge-Based Systems　320　113596-113596　2025年6月

    出版者・発行元： 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 査読有り

    Prabhat Parajuli, Teeradaj Racharak

    In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM)　2025年2月

  33. Generative AI for Requirements Engineering: A Systematic Literature Review 査読有り

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

    Software - Practice and Experience　2025年

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

    Wuttichai Vijitkunsawat, Teeradaj Racharak

    IEEE Access　13　108235-108254　2025年

    出版者・発行元： 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 査読有り

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

    Scientific Reports　2025年

  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年12月

    DOI： 10.3390/technologies13010001 　

  37. A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images 査読有り

    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年12月

  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年12月

  39. Towards Benchmarking Description Logic Learning 査読有り

    Tongyu Wang, Teeradaj Racharak, Prabhat Parajuli, Kazuki Takashima

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

  40. Towards Identification of Underspecification Problem in Image Classification 査読有り

    Prabhat Parajuli, Teeradaj Racharak

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

  41. An Automated Medical RDF Knowledge Graph Construction from Text using In-context Learning 査読有り

    Teeradaj Racharak, Tongyu Wang, Watanee Jearanaiwongkul

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

  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年6月

  43. A Quantitative Assessment Framework for Modelling and Evaluation using Representation Learning in Smart Agriculture Ontology 査読有り

    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年2月

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

    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年

    出版者・発行元： 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 査読有り

    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年

  46. A Comprehensive Benchmark and Evaluation of Thai Finger Spelling in Multi-Modal Deep Learning Models 査読有り

    Wuttichai Vijitkunsawat, Teeradaj Racharak

    IEEE Access　12　158079-158093　2024年

    出版者・発行元： 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年

    出版者・発行元： 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 査読有り

    Rathachai Chawuthai, Natthawut Kertkeidkachorn, Teeradaj Racharak

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

  49. ThaiSpoof: A Database for Spoof Detection in Thai Language 査読有り

    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年11月

  50. BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition 査読有り

    Shin Than, Teeradaj Racharak, Frederic Andres

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

    出版者・発行元： 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 査読有り

    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年10月

  52. Deep Multimodal-Based Number Finger Spelling Recognizer for Thai Sign Language 査読有り

    Wuttichai Vijitkunsawa, Teeradaj Racharak, Minh Le Nguyen

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

  53. Gender Bias Analysis in Commonsense Knowledge Graph Embeddings 査読有り

    Khine Myat Thwe, Teeradaj Racharak, Minh Le Nguyen

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

  54. NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering 査読有り

    Tao Jin, Teeradaj Racharak, Minh Le Nguyen

    In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS)　2023年7月

  55. Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge 査読有り

    Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe

    In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS)　2023年7月

  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年6月

  57. Parametric Loss based Super-Resolution for Scene Text Recognition 査読有り

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

    In Machine Vision and Applications　34　(4)　2023年6月

  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年2月

  59. Logic of Awareness in Agent’s Reasoning 査読有り

    Yudai Kubono, Teeradaj Racharak, Satoshi Tojo

    In Proceedings of 15th International Conference on Agents and Artificial Intelligence (ICAART)　207-216　2023年2月

    出版者・発行元： SCITEPRESS

    DOI： 10.5220/0011630300003393 　

  60. Video-based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons 査読有り

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

    In Proceedings of 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM)　2023年2月

  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年

    出版者・発行元： 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年11月

  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年11月

  64. Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification 査読有り

    Teeradaj Racharak

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

  65. Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks 査読有り

    Teeradaj Racharak

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

  66. Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation 査読有り

    May Myo Zin, Teeradaj Racharak, Minh Le Nguyen

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

  67. Improving Emotion Recognition in Conversation using Text and Emoji Modalities 査読有り

    Yanran Zhou, Teeradaj Racharak, Minh Le Nguyen

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

  68. TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding 査読有り

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

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

  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年7月

  70. DbAPE: Denoising-based APE System for Improving English-Myanmar NMT 査読有り

    May Myo Zin, Teeradaj Racharak, Minh Le Nguyen

    IEEE Access　10　1-1　2022年

    出版者・発行元： 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 査読有り

    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年

  72. A Regularization-based Generative Adversarial Network For Single Image Super-Resolution 査読有り

    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年

  73. Learning Cross-Modal Representations with Multi-Relations for Image Captioning 査読有り

    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年

  74. An Effective Method to Answer Multi-Hop Questions by Single-Hop QA System 査読有り

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

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

  75. On the Relationship with Toulmin Method to Logic-based Argumentation 査読有り

    Teeradaj Racharak and Satoshi Tojo

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

    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年

  77. RiceDO Version 2: Rice Disease Ontology

    Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres

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

  78. A Summary of the ALQAC 2021 Competition 査読有り

    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年

    出版者・発行元： IEEE

    DOI： 10.1109/KSE53942.2021.9648724 　

  79. An Ontology-based Expert System for Rice Disease Identification and Control Recommendation 査読有り

    Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres

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

  80. KGWE: A Knowledge-guided Word Embedding Fine-tuning Model 査読有り

    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年

  81. On Approximation of Concept Similarity Measure in Description Logic ELH with Pre-trained Word Embedding 査読有り

    Teeradaj Racharak

    IEEE Access　2021年

  82. Multimodal Sentiment Analysis on Video Streams Using Lightweight Deep Neural Networks 査読有り

    Atitaya Yakaew, Matthew, N. Dailey, Teeradaj Racharak

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

  83. On Explanation of Propositional Logic-based Argumentation System 査読有り

    Teeradaj Racharak, Satoshi Tojo

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

    出版者・発行元： SCITEPRESS

    DOI： 10.5220/0010318103230332 　

  84. Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation 査読有り

    2021年

    出版者・発行元：

    DOI： 10.5220/0010318903330342 　

  85. Knowledge Injection to Neural Networks with Progressive Learning Strategy 査読有り

    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年

    出版者・発行元： Springer

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

  86. Can Knowledge Enhance Reading Comprehension? An Integrated Approach with Semantic Lexicon 査読有り

    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年

  87. Toward Forecast Techniques in Optimal Sizing of Energy Storage System with Volatile Energy Sources for Hybrid Renewable Energy System 査読有り

    Akanit Kwangkaew, Teeradaj Racharak, Chalie Charoenlarpnopparut

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

  88. Progressive Training in Recurrent Neural Networks for Chord Progression Modeling 査読有り

    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年

    出版者・発行元：

    DOI： 10.5220/0008951500890098 　

  89. On Construction and Evaluation of Analogical Arguments for Persuasive Reasoning 査読有り

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

    Applied Artificial Intelligence　33　(13)　1107-1132　2019年9月

    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年

    出版者・発行元： Springer

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

  91. Abstract Argumentation for Summarizing Product Reviews: A Case Study in Shopee Thailand 査読有り

    Teeradaj Racharak

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

  92. Concept Similarity under the Agent’s Preferences for the Description Logic ALEH 査読有り

    Teeradaj Racharak, Watanee Jearanaiwongkul, Chutiporn Anutariya

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

  93. Inherited Properties of FL0 concept similarity measure under preference profile 査読有り

    Teeradaj Racharak, Satoshi Tojo

    11352 LNAI　343-360　2018年

    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 査読有り

    Teeradaj Racharak, Satoshi Tojo

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

  95. Personalizing a concept similarity measure in the description logic ELH with preference profile 査読有り

    Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo

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

    DOI： 10.4149/cai_2018_3_581 　

    ISSN：1335-9150

    eISSN：2585-8807

  96. Analogical reasoning in clinical practice with description logic ELH 査読有り

    Teeradaj Racharak, Satoshi Tojo

    179-204　2017年

    出版者・発行元：

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

  97. Argument-based logic programming for analogical reasoning 査読有り

    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年

    出版者・発行元： 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 査読有り

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

    Proceedings of International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE)　10351　306-316　2017年

    出版者・発行元：

    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 in ELH 査読有り

    Teeradaj Racharak, Satoshi Tojo

    Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART)　287-298　2017年

    DOI： 10.5220/0006249602870298 　

  100. Argument-based logic programming for analogical reasoning 査読有り

    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年

  101. Identifying an agent’s preferences toward similarity measures in description logics 査読有り

    Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo

    Proceedings of the 5th Joint International Semantic Technology Conference (JIST)　9544　201-208　2016年

    出版者・発行元：

    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 査読有り

    Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo

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

    出版者・発行元：

    DOI： 10.5220/0005813404800487 　

  103. Similarity Measures for FL0 Concept Descriptions from an Automata-Theoretic Point of View 査読有り

    Teeradaj Racharak, Boontawee Suntisrivaraporn

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

    DOI： 10.1109/ICTEmSys.2015.7110811 　

  104. Collaborative planning using hierarchical task network 査読有り

    Teeradaj Racharak

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

︎全件表示 ︎最初の5件までを表示

共同研究・競争的資金等の研究課題 8

  1. Embodied Emotion in Human Body Movements

    2026年4月 ～ 2029年3月

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

    提供機関：Research grant for fundamental research (萌芽的研究支援), JAIST

    2024年4月 ～ 2025年3月

  3. Similarity Retrieval Algorithm for Virtual Knowledge Graph

    RACHARAK Teeradaj

    提供機関：Japan Society for the Promotion of Science

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

    研究種目：Grant-in-Aid for Early-Career Scientists

    研究機関：Japan Advanced Institute of Science and Technology

    2022年4月 ～ 2025年3月

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

    提供機関：Research grant for fundamental research (萌芽的研究支援), JAIST

    2023年4月 ～ 2024年3月

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

    提供機関：Research grant for fundamental research (萌芽的研究支援), JAIST

    2022年4月 ～ 2023年3月

  6. DL2Vec: An Embedding Algorithm for Description Logic Ontology

    提供機関：Research grant for fundamental research (萌芽的研究支援), JAIST

    2021年4月 ～ 2022年3月

  7. Responsible AI with ML/DL Libraries

    提供機関：Google TensorFlow Faculty Award, Google AI and the TensorFlow team

    2021年8月 ～

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

    提供機関：Research grant for fundamental research (萌芽的研究支援), JAIST

    2020年4月 ～ 2021年3月

︎全件表示 ︎最初の5件までを表示

社会貢献活動 13

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

    2021年 ～ 継続中

  2. Reviewer, Applied Artificial Intelligence, Taylor & Francis

    2020年 ～ 継続中

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

    2019年 ～ 継続中

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

    2021年 ～ 2021年

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

    2021年 ～ 2021年

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

    2021年 ～ 2021年

  7. Conference Organizing Committee, KSE 2021

    2021年 ～ 2021年

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

    2021年 ～ 2021年

  9. Technical Program Committee, ICSEC 2020, KSE 2020

    2020年 ～ 2020年

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

    2019年 ～ 2019年

  11. Conference Organizing Committee, STUD 2019

    2019年 ～ 2019年

  12. Technical Program Committee, KSE 2019

    2019年 ～ 2019年

  13. (Sub) Reviewer, IJCAR 2018

    2018年 ～ 2018年

︎全件表示 ︎最初の5件までを表示