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RACHARAK, Teeradaj Senior Lecturer
Information Science, Computing Science

Published Papers

56 items
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
BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition
Shin Than, Teeradaj Racharak, Frederic Andres
In Proceedings of the 1st International Conference of Data Science and Artificial Intelligence (DSAI), -, 2023
Parametric Loss based Super-Resolution for Scene Text Recognition
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
Deep Multimodal-Based Number Finger Spelling Recognizer for Thai Sign Language
Wuttichai Vijitkunsawa, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of the International Symposium on Communications and Information Technologies (ISCIT), -, 2023
Gender Bias Analysis in Commonsense Knowledge Graph Embeddings
Khine Myat Thwe, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of the 15th IEEE International Conference on Knowledge and Systems Engineering (KSE), -, 2023
NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering
Tao Jin, Teeradaj Racharak, Minh Le Nguyen
In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS), -, 2023
Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge
Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe
In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS), -, 2023
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
Parametric Loss based Super-Resolution for Scene Text Recognition
Supatta Viriyavisuthisakul, Parinya Sanguansa, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki
In Machine Vision and Applications, 34, 4, -, 2023
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
Logic of Awareness in Agent’s Reasoning
Yudai Kubono, Teeradaj Racharak, Satoshi Tojo
In Proceedings of 15th International Conference on Agents and Artificial Intelligence (ICAART), -, 2023
Video-based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons
Wuttichai Vijitkunsawa, Teeradaj Racharak, Chau Nguyen, Le-Minh Nguyen
In Proceedings of 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM), -, 2023
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
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
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
Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification
Teeradaj Racharak
In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP), -, 2022
Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks
Teeradaj Racharak
In Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), -, 2022
Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation
May Myo Zin, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), -, 2022
Improving Emotion Recognition in Conversation using Text and Emoji Modalities
Yanran Zhou, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of the 14th IEEE International Conference on Knowledge and Systems Engineering (KSE), 2022, -, 2022
TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding
Wei Kun Kong, Xin Liu, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of the 21st International Semantic Web Conference (ISWC), -, 2022
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
A Summary of the ALQAC 2021 Competition.
Ha-Thanh Nguyen, Minh-Quan Bui, Chau Nguyen, Tung Le, Nguyen Minh Phuong, Tran Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Le Minh Nguyen, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy Tien Nguyen, Bhumindr Butr-indr, Peerapon Vateekul, Prachya Boonkwan
CoRR, abs/2204.10717, -, 2022
DbAPE: Denoising-based APE System for Improving English-Myanmar NMT
May Myo Zin, Teeradaj Racharak, Minh Le Nguyen
IEEE Access, 10, 1-1, 2022
Extractive Elementary Discourse Units for Improving Abstractive Summarization
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
A Regularization-based Generative Adversarial Network For Single Image Super-Resolution
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
Learning Cross-Modal Representations with Multi-Relations for Image Captioning
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
An Effective Method to Answer Multi-Hop Questions by Single-Hop QA System
Yuntao Kong, Phuong Nguyen, Teeradaj Racharak, Tung Le, Le-Minh Nguyen
In Proceedings of 14th International Conference on Agents and Artificial Intelligence (ICAART), -, 2022
On the Relationship with Toulmin Method to Logic-based Argumentation
Teeradaj Racharak and Satoshi Tojo
In Agents and Artificial Intelligence, Lecture Notes in Computer Science, Springer International Publishing, -, 2021
TreatO Version 2: Rice Disease Control Ontology
Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres
IEEE Dataport 2021; DOI:10.21227/5016-aw09, -, 2021
RiceDO Version 2: Rice Disease Ontology
Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres
IEEE Dataport 2021; DOI:10.21227/5ndq-4222, -, 2021
A Summary of the ALQAC 2021 Competition
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
An Ontology-based Expert System for Rice Disease Identification and Control Recommendation
Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres
Applied Sciences, 2021, 11, 10450. DOI: 10.3390/app112110450, -, 2021
KGWE: A Knowledge-guided Word Embedding Fine-tuning Model
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
On Approximation of Concept Similarity Measure in Description Logic ELH with Pre-trained Word Embedding
Teeradaj Racharak
IEEE Access, -, 2021
Multimodal Sentiment Analysis on Video Streams Using Lightweight Deep Neural Networks
Atitaya Yakaew, Matthew, N. Dailey, Teeradaj Racharak
In Proceedings of 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM), -, 2021
On Explanation of Propositional Logic-based Argumentation System
Teeradaj Racharak, Satoshi Tojo
In Proceedings of 13th International Conference on Agents and Artificial Intelligence (ICAART), -, 2021
Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation
May Myo Zin, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of 13th International Conference on Agents and Artificial Intelligence (ICAART), -, 2021
Knowledge Injection to Neural Networks with Progressive Learning Strategy
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
Can Knowledge Enhance Reading Comprehension? An Integrated Approach with Semantic Lexicon
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
Toward Forecast Techniques in Optimal Sizing of Energy Storage System with Volatile Energy Sources for Hybrid Renewable Energy System
Akanit Kwangkaew, Teeradaj Racharak, Chalie Charoenlarpnopparut
In proceedings of International Conference on Smart Grids and Energy Systems (SGES), Perth, Australia, -, 2020
Progressive Training in Recurrent Neural Networks for Chord Progression Modeling
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
On Construction and Evaluation of Analogical Arguments for Persuasive Reasoning
Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan
Applied Artificial Intelligence, 33, 13, 1107-1132, 2019
Concept Similarity under the Agent’s Preferences for the Description Logic ALEH
Teeradaj Racharak, Watanee Jearanaiwongkul, Chutiporn Anutariya
Proceedings of the 9th Joint International Semantic Technology Conference (JIST), Hangzhou, China, -, 2019
Abstract Argumentation for Summarizing Product Reviews: A Case Study in Shopee Thailand
Teeradaj Racharak
Proceedings of the 11th IEEE International Conference on Knowledge and Systems Engineering (KSE), -, 2019
Inherited Properties of FL0 concept similarity measure under preference profile
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
Concept similarity under the agent’s preference for the description logic FL0 with unfoldable TBox
Teeradaj Racharak, Satoshi Tojo
Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART), 201-210-, 2018
Personalizing a concept similarity measure in the description logic ELH with preference profile
Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo
Computing and Informatics, 37, 3, 581-613-613, 2018
Analogical reasoning in clinical practice with description logic ELH
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
Argument-based logic programming for analogical reasoning
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
Combining answer set programming with description logics for analogical reasoning under an agent’s preferences
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
Tuning Agent's Profile for Similarity Measure in Description Logic ELH
Teeradaj Racharak, Satoshi Tojo
ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2, 287-298, 2017
Argument-based logic programming for analogical reasoning
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
Identifying an agent’s preferences toward similarity measures in description logics
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
sim^pi: a concept similarity measure under an agent’s preferences in description logic ELH
Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART), 480-487-, 2016
Similarity Measures for FL0 Concept Descriptions from an Automata-Theoretic Point of View
Teeradaj Racharak, Boontawee Suntisrivaraporn
2015 6TH INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY FOR EMBEDDED SYSTEMS (IC-ICTES), 1-6-, 2015
Collaborative planning using hierarchical task network
Teeradaj Racharak
International Journal of Computer Theory and Engineering, 5, 3, 557-561-, 2013