Publications

Yao Wang, Xin Liu**, Wei kun Kong, Hai-Tao Yu , Teeradaj Racharak**, Kyoung-Sook Kim, Minh Le Nguyen**, A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations, In IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3420877 (Q1, Impact Factor: 3.557)

Wuttichai Vijitkunsawat, Teeradaj Racharak**, Minh Le Nguyen, Deep Multimodal-based Finger Spelling Recognition for Thai Sign Language: A New Benchmark and Model Composition, In Machine Vision and Applications (MVA), 2024. DOI: 10.1007/s00138-024-01557-9 (Q2, Impact Factor: 2.983)

Guanqun SUN, Yizhi Pan, Weikun Kong, Zichang Xu, Jianhua Ma, Teeradaj Racharak, Le-Minh Nguyen, Junyi Xin, DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation, In Frontiers in Bioengineering and Biotechnology, section Biosensors and Biomolecular Electronics, 2024. (Q1, Impact Factor: 5.7)

Guanqun Sun, Han Shu, Feihe Shao, Teeradaj Racharak, Weikun Kong, Yizhi Pan, Jingjing Dong, Shuang Wang, Le-minh Nguyen, Junyi Xin, FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting through Knowledge Distillation, In IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3372394 (Q1, Impact Factor: 3.557)

Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki, Parametric Loss based Super-Resolution for Scene Text Recognition, In Machine Vision and Applications (MVA), 2023. DOI: 10.1007/s00138-023-01416-z (Q2, Impact Factor: 2.983)

Kong Wei Kun**, Xin Liu, Teeradaj Racharak**, Guanqun Sun, Jianan Chen, Qiang Ma, Le-Minh Nguyen**, WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs, In IEEE Access, vol. 11, pp. 48901-48911, 2023. DOI: 10.1109/ACCESS.2023.3276319 (Q1, Impact Factor: 3.476)

May Myo Zin, Teeradaj Racharak, Minh Le Nguyen, DbAPE: Denoising-based APE System for Improving English-Myanmar NMT, In IEEE Access, vol. 10, pp. 67047-67057, 2022. DOI: 10.1109/ACCESS.2022.3185415 (Q1, Impact Factor: 3.476)

Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres, An Ontology-based Expert System for Rice Disease Identification and Control Recommendation, In Applied Sciences, 2021, 11, 10450. DOI: 10.3390/app112110450  (Q2, Impact Factor: 2.679)

Teeradaj Racharak, On Approximation of Concept Similarity Measure in Description Logic ELH with Pre-trained Word Embedding, In IEEE Access, vol. 9, pp. 61429-61443, 2021. DOI: 10.1109/ACCESS.2021.3073730 (Q1, Impact Factor: 3.367)

Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan, On Construction and Evaluation of Analogical Arguments for Persuasive Reasoning, In Applied Artificial Intelligence vol. 33, no. 13, pp. 1107-1132, 2019 (Q2, Impact Factor: 2.777)

Teeradaj Racharak, Boontawee Suntisrivaraporn, and Satoshi Tojo, Personalizing a Concept Similarity Measure in the Description Logic ELH with Preference Profile, In Computing and Informatics vol. 37, no. 3, pp. 581-613, 2018 (Q3, Impact Factor: 0.421)

Teeradaj Racharak, Collaborative Planning using Hierarchical Task Network, In International Journal of Computer Theory and Engineering vol. 5, no. 3, pp. 557 - 561, 2013 

Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari, A Quantitative Assessment Framework for Modelling and Evaluation using Representation Learning in Smart Agriculture Ontology, In Proceedings of 16th International Conference on Agents and Artificial Intelligence (ICAART), Rome, Italy, February 24-26, 2024 (CORE Rank B)

Rathachai Chawuthai, Natthawut Kertkeidkachorn*, Teeradaj Racharak*, Modelling an RDF Knowledge Graph with Transitivity and Symmetry for Bus Route Path Finding, In Proceedings of the 6th Artificial Intelligence and Cloud Computing Conference (AICCC), Kyoto, Japan, December 16-18, 2023

Kasorn Galajit, Thunpisit Kosolsriwiwat, Masashi Unoki, Candy Olivia Mawalim, Pakinee Aimmanee, Waree Kongprawechnon, Win Pa Pa, Anuwat Chaiwongyen, Teeradaj Racharak, Surasak Boonkla, Hayati Yassin, and Jessada Karnjana, ThaiSpoof: A Database for Spoof Detection in Thai Language, In Proceedings of the 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2023), Bangkok, Thailand, November 27-29, 2023

Shin Thant, Teeradaj Racharak, Frederic Andres, BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition, In Proceedings of the 1st International Conference of Data Science and Artificial Intelligence (DSAI), Bangkok, Thailand, November 27-29, 2023

Khine Myat Thwe**, Teeradaj Racharak**, Minh Le Nguyen, Gender Bias Analysis in Commonsense Knowledge Graph Embeddings, In Proceedings of the 15th IEEE International Conference on Knowledge and Systems Engineering (KSE), Ha Noi, Vietnam, October 18-20, 2023 

Wuttichai Vijitkunsawat**, Teeradaj Racharak**, Minh Le Nguyen, Deep Multimodal-Based Number Finger Spelling Recognizer for Thai Sign Language, In Proceedings of the International Symposium on Communications and Information Technologies (ISCIT), Sydney, Australia, October 16-18, 2023

Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe, Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge, In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Phuket, Thailand, July 24-26, 2023 (CORE2021 Rank B)

Tao Jin, Teeradaj Racharak**, Minh Le Nguyen, NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering, In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Phuket, Thailand, July 24-26, 2023 (CORE2021 Rank B)

Wuttichai Vijitkunsawat, Teeradaj Racharak, Chau Nguyen, Le-Minh Nguyen, Video-based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons, In Proceedings of 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lisbon, Portugal, February 22-24, 2023 (CORE Rank C)

Yudai Kubono, Teeradaj Racharak, Satoshi Tojo, Logic of Awareness in Agent’s Reasoning, In Proceedings of 15th International Conference on Agents and Artificial Intelligence (ICAART), Lisbon, Portugal, February 22-24, 2023 (CORE2021 Rank B)

Teeradaj Racharak, Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification, In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP), New Delhi, India, November 22-26, 2022 (CORE Rank A; Acceptance Rate: 33.2%)

Teeradaj Racharak, Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks, In Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Virtual, October 31 - November 2, 2022 (CORE2021 Rank B)

May Myo Zin, Teeradaj Racharak, Minh Le Nguyen, Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation, In Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Virtual, October 31 - November 2, 2022 (CORE2021 Rank B)

Yanran Zhou, Teeradaj Racharak, Minh Le Nguyen, Improving Emotion Recognition in Conversation using Text and Emoji Modalities, In Proceedings of the 14th IEEE International Conference on Knowledge and Systems Engineering (KSE), October 19-21, 2022

Wei Kun Kong, Xin Liu, Teeradaj Racharak, Minh Le Nguyen, TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding, In Proceedings of the 21st International Semantic Web Conference (ISWC), October 23-27, 2022 (CORE2021 Rank A)

• Accepted as a Poster Paper 

Ye Xiong, Teeradaj Racharak, Minh Le Nguyen, Extractive Elementary Discourse Units for Improving Abstractive Summarization, In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 11-15, 2022 (CORE2021 Rank A*)

• Accepted as a Short Paper (Acceptance Rate: 24.7%)

Cheng Peng, Tung Le, Teeradaj Racharak, Yiming Cao, Weikun Kong, Le-Minh Nguyen, Learning Cross-Modal Representations with Multi-Relations for Image Captioning, In Proceedings of 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Online Streaming, 2022 (CORE2021 Rank C)

Yuntao Kong, Phuong Nguyen, Teeradaj Racharak, Tung Le, Le-Minh Nguyen, An Effective Method to Answer Multi-Hop Questions by Single-Hop QA System, In Proceedings of 14th International Conference on Agents and Artificial Intelligence (ICAART), Virtual, 2022 (CORE2021 Rank B)

Wei Kun Kong, Teeradaj Racharak**, Yiming Cao, Cheng Peng, Minh Le Nguyen**, KGWE: A Knowledge-guided Word Embedding Fine-tuning Model, In Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Virtual, 2021 (CORE2021 Rank B)

Atitaya Yakaew, Matthew N. Dailey, Teeradaj Racharak, Multimodal Sentiment Analysis on Video Streams Using Lightweight Deep Neural Networks, In Proceedings of 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Online Streaming, 2021 (CORE2021 Rank C)

Teeradaj Racharak, Satoshi Tojo, On Explanation of Propositional Logic-based Argumentation System, In Proceedings of 13th International Conference on Agents and Artificial Intelligence (ICAART), Online Streaming, 2021 (CORE2021 Rank B)

May Myo Zin, Teeradaj Racharak, Minh Le Nguyen, Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation, In Proceedings of 13th International Conference on Agents and Artificial Intelligence (ICAART), Online Streaming, 2021 (CORE2021 Rank B)

Wei Kun Kong, Teeradaj Racharak, Minh Le Nguyen, Can Knowledge Enhance Reading Comprehension? An Integrated Approach with Semantic Lexicon, In Proceedings of the 12th IEEE International Conference on Knowledge and Systems Engineering (KSE), Can Tho, Vietnam, 2020

Akanit Kwangkaew, Teeradaj Racharak, Chalie Charoenlarpnopparut, Toward Forecast Techniques in Optimal Sizing of Energy Storage System with Volatile Energy Sources for Hybrid Renewable Energy System, In proceedings of International Conference on Smart Grids and Energy Systems (SGES), Perth, Australia, 2020

Trung-Kien Vu, Teeradaj Racharak, Satoshi Tojo, Nguyen Ha Thanh, Nguyen Le Minh, Progressive Training in Recurrent Neural Networks for Chord Progression Modeling, In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART), Valletta, Malta, 2020 (CORE2020 Rank C)

Teeradaj Racharak, Watanee Jearanaiwongkul, and Chutiporn Anutariya, Concept Similarity under the Agent’s Preferences for the Description Logic ALEH, In Proceedings of the 9th Joint International Semantic Technology Conference (JIST), Hangzhou, China, 2019 

Teeradaj Racharak, Abstract Argumentation for Summarizing Product Reviews: A Case Study in Shopee Thailand, In Proceedings of the 11th IEEE International Conference on Knowledge and Systems Engineering (KSE), Da Nang, Vietnam, 2019

Teeradaj Racharak and Satoshi Tojo, Concept Similarity under the Agent’s Preference for the Description Logic FL0 with unfoldable TBox, In Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART), Madeira, Portugal, pp. 201-210, 2018 (“Best Student Paper Award Candidate”) (CORE2018 Rank C)

Teeradaj Racharak and Satoshi Tojo, Tuning Agent’s Profile for Similarity Measure in Description Logic in ELH, In Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART), Porto, Portugal, pp. 287-298, 2017 (CORE2017 Rank C)

Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan, Combining Answer Set Programming with Description Logics for Analogical Reasoning under an Agent’s Preferences, In Proceedings of International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), Arras, France, pp. 306-316, 2017 (CORE2017 Rank B)

Teeradaj Racharak, Boontawee Suntisrivaraporn, and Satoshi Tojo,  sim^pi: a Concept Similarity Measure under an Agent’s Preferences in Description Logic ELH, In Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART), Rome, Italy, pp. 480-487, 2016 

Teeradaj Racharak, Boontawee Suntisrivaraporn, and Satoshi Tojo, Identifying an Agent’s Preferences toward Similarity Measures in Description Logics, In Proceedings of the 5th Joint International Semantic Technology Conference (JIST), Yichang, China, pp. 201-208, 2015

Teeradaj Racharak and Boontawee Suntisrivaraporn, Similarity Measures for FL0 Concept Descriptions from an Automata-Theoretic Point of View, In Proceedings of the 6th Annual International Conference on Information and Communication Technology for Embedded Systems (IC-ICTES), Hua Hin, Thailand, pp. 1 - 6, 2015 (“Best Presentation Award”)

Teeradaj Racharak, Tongyu Wang, Watanee Jearanaiwongkul, AutoMedKG: Prompt Engineering for A Medical RDF Knowledge Graph Construction from Text, In International Workshop on Forging Trust in Artificial Intelligence (ForgtAI) in conjunction with IEEE IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024. (Hybrid) [SLIDE]

Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki, Parametric Loss based Super-Resolution for Scene Text Recognition, In the Women in Computer Vision Workshop in conjunction with ICCV 2023, Paris, France, October 3, 2023 

• Accepted as a Poster Paper (not considered for proceedings)

Supatta Viriyavisuthisakul, Natsuda Kaothanthong, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Choochart Haruechaiyasak, Toshihiko Yamasaki, A Regularization-based Generative Adversarial Network For Single Image Super-Resolution, In Proceedings of the 11th International Workshop on Image Media Quality and its Applications (IMQA), Kyoto, Japan, March 3-4, 2022

Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan, Argument-based Logic Programming for Analogical Reasoning, In Proceedings of the 10th International Workshop on Juris-Informatics (JURISIN), Kanagawa, Japan, 2016 

Teeradaj Racharak and Satoshi Tojo, On the Relationship with Toulmin Method to Logic-based Argumentation, In Rocha, A.P., Steels, L., van den Herik, J. (eds) Agents and Artificial Intelligence, Lecture Notes in Computer Science, vol 13251, Springer International Publishing, pp. 197 - 207, 2021

Nguyen Ha Thanh, Trung-Kien Vu, Teeradaj Racharak, Nguyen Le Minh, Satoshi Tojo, Knowledge Injection to Neural Networks with Progressive Learning Strategy, In Rocha, A.P., Steels, L., van den Herik, J. (eds) Agents and Artificial Intelligence, Lecture Notes in Computer Science, vol 12613, Springer International Publishing, pp. 280 – 290, 2020

Teeradaj Racharak and Satoshi Tojo, Inherited Properties of FL0 Concept Similarity Measure under Preference Profile, In van den Herik, J., Rocha, A. (eds) Agents and Artificial Intelligence, Lecture Notes in Computer Science, vol 11352, Springer International Publishing, pp. 343 – 360, 2018

Teeradaj Racharak and Satoshi Tojo, Analogical Reasoning in Clinical Practice with Description Logic ELH, 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, 2017

Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan, Argument-based Logic Programming for Analogical Reasoning, In Kurahashi S., Ohta Y., Arai S., Satoh K., Bekki D. (eds) New Frontiers in Artificial Intelligence, JSAI-isAI 2016, Lecture Notes in Computer Science, vol 10247, Springer International Publishing, pp. 253 - 269, 2016

Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki, Text Recognition in Low Resolution Images Using Trainable Regularization, In the 37th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), June 6 - 9, 2023

Supatta Viriyavisuthisakul, Parinya Sanguanset, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki, A Parametric Weight Method for Scene Text Image Super-Resolution, In Image Engineering Study Group (IE), IEICE, Hokkaido University, Japan, February 21-22, 2023. 

Supatta Viriyavisuthisakul, Natsuda Kaothanthong, Parinya Sanguansat, Minh Le Nguyen, Teeradaj Racharak, Choochart Haruechaiyasak, Toshihiko Yamasaki, Lasso, Ridge, and Elastic Net Regularized Generative Adversarial Networks for Single Image Super-Resolution, In the 25th Information-Based Induction Sciences Workshop (IBIS), Tsukuba International Congress Center, Japan, November 20-23, 2022.

Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Minh Le Nguyen, Toshihiko Yamasaki,  Text Scene Image Super-Resolution with Parametric Weight Loss, In the Image Coding Symposium / Image Media Processing Symposium (PCSJ/IMP), Shizuoka, Japan, November 28-30, 2022.

Supatta Viriyavisuthisakul, Natsuda Kaothanthong, Parinya Sanguansat, Minh Le Nguyen, Teeradaj Racharak, Choochart Haruechaiyasak, Toshihiko Yamasaki, Lasso, Ridge, and Elastic Net Regularized Generative Adversarial Networks for Single Image Super-Resolution, In the 25th Meeting on Image Recognition and Understanding (MIRU), Himeji, Japan, July 25-29, 2022.

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, A Summary of the ALQAC 2021 Competition, In Proceedings of the 13th International Conference on Knowledge and Systems Engineering (KSE), Virtual, 2021

Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres, RiceDO Version 2: Rice Disease Ontology. IEEE Dataport 2021; DOI:10.21227/5ndq-4222

Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres, TreatO Version 2: Rice Disease Control Ontology. IEEE Dataport 2021; DOI:10.21227/5016-aw09