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ORCIDTeeradaj Racharak
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2020 – today
- 2024
[j10]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. IEEE Access 12: 33687-33704 (2024)- [j9]Yao Wang, Xin Liu, Wei Kun Kong, Haitao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Nguyen Le Minh:
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. IEEE Access 12: 103313-103328 (2024) - [j8]Wuttichai Vijitkunsawat, Teeradaj Racharak:
A Comprehensive Benchmark and Evaluation of Thai Finger Spelling in Multi-Modal Deep Learning Models. IEEE Access 12: 158079-158093 (2024) - [j7]Wuttichai Vijitkunsawat, Teeradaj Racharak, Le-Minh Nguyen:
Deep multimodal-based finger spelling recognition for Thai sign language: a new benchmark and model composition. Mach. Vis. Appl. 35(4): 76 (2024) - [c35]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. ICAART (3) 2024: 1044-1051 - [i5]Yizhi Pan, Junyi Xin, Tianhua Yang, Teeradaj Racharak, Le-Minh Nguyen, Guanqun Sun:
A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images. CoRR abs/2404.08201 (2024) - [i4]Yao Wang, Xin Liu, Weikun Kong, Haitao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Le-Minh Nguyen:
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. CoRR abs/2405.08311 (2024) - 2023
- [j6]Wei Kun Kong, 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. IEEE Access 11: 48901-48911 (2023) - [j5]Supatta Viriyavisuthisakul, Parinya Sanguansat, Teeradaj Racharak, Nguyen Le Minh, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki:
Parametric loss-based super-resolution for scene text recognition. Mach. Vis. Appl. 34(4): 61 (2023) - [c34]Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe:
Can Ensemble Calibrated Learning Enhance Link Prediction? A Study on Commonsense Knowledge. ACIIDS (2) 2023: 183-194 - [c33]Tao Jin, Teeradaj Racharak, Le Minh Nguyen:
NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering. ACIIDS (2) 2023: 272-285 - [c32]Rathachai Chawuthai, Natthawut Kertkeidkachorn, Teeradaj Racharak:
Modelling an RDF Knowledge Graph with Transitivity and Symmetry for Bus Route Path Finding. AICCC 2023: 126-134 - [c31]Yudai Kubono, Teeradaj Racharak, Satoshi Tojo:
Logic of Awareness in Agent's Reasoning. ICAART (1) 2023: 207-216 - [c30]Wuttichai Vijitkunsawat, Teeradaj Racharak, Chau Nguyen, Nguyen Le Minh:
Video-Based Sign Language Digit Recognition for the Thai Language: A New Dataset and Method Comparisons. ICPRAM 2023: 775-782 - [c29]Wuttichai Vijitkunsawat, Teeradaj Racharak, Le-Minh Nguyen:
Deep Multimodal-based Number Finger Spelling Recognizer for Thai Sign Language. ISCIT 2023: 99-104 - [c28]Khine Myat Thwe, Teeradaj Racharak, Minh-Le Nguyen:
Gender Bias Analysis in Commonsense Knowledge Graph Embeddings. KSE 2023: 1-6 - [d3]Shin Thant, Chutiporn Anutariya, Frédéric Andrès, Teeradaj Racharak:
BERT fine-tuned CORD-19 NER Dataset. IEEE DataPort, 2023
- [i3]Yudai Kubono, Teeradaj Racharak, Satoshi Tojo:
Logic of Awareness in Agent's Reasoning. CoRR abs/2309.09214 (2023) - [i2]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. CoRR abs/2310.12570 (2023) - 2022
- [j4]May Myo Zin, Teeradaj Racharak, Minh Le Nguyen:
DbAPE: Denoising-Based APE System for Improving English-Myanmar NMT. IEEE Access 10: 67047-67057 (2022) - [c27]Kong Yuntao, Nguyen Minh Phuong, Teeradaj Racharak, Tung Le, Le Minh Nguyen:
An Effective Method to Answer Multi-hop Questions by Single-hop QA System. ICAART (2) 2022: 244-253 - [c26]Teeradaj Racharak:
Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification. ICONIP (5) 2022: 51-63 - [c25]Peng Cheng, Tung Le, Teeradaj Racharak, Yiming Cao, Weikun Kong, Minh Le Nguyen:
Learning Cross-modal Representations with Multi-relations for Image Captioning. ICPRAM 2022: 346-353 - [c24]May Myo Zin, Teeradaj Racharak, Minh Le Nguyen:
Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation. ICTAI 2022: 259-266 - [c23]Teeradaj Racharak:
Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks. ICTAI 2022: 383-390 - [c22]Yanran Zhou, Teeradaj Racharak, Le-Minh Nguyen:
Improving Emotion Recognition in Conversation using Text and Emoji Modalities. KSE 2022: 1-6 - [c21]Kong Wei Kun, Xin Liu, Teeradaj Racharak, Le-Minh Nguyen:
TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding. ISWC (Posters/Demos/Industry) 2022 - [c20]Ye Xiong, Teeradaj Racharak, Minh Le Nguyen:
Extractive Elementary Discourse Units for Improving Abstractive Summarization. SIGIR 2022: 2675-2679 - [i1]Ha-Thanh Nguyen, Minh-Quan Bui, Chau Nguyen, Tung Le, Nguyen Minh Phuong, Tran Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy Tien Nguyen, Bhumindr Butr-indr, Peerapon Vateekul, Prachya Boonkwan:
A Summary of the ALQAC 2021 Competition. CoRR abs/2204.10717 (2022) - 2021
- [j3]Teeradaj Racharak:
On Approximation of Concept Similarity Measure in Description Logic ELH With Pre-Trained Word Embedding. IEEE Access 9: 61429-61443 (2021) - [c19]Teeradaj Racharak, Satoshi Tojo:
On the Relationship with Toulmin Method to Logic-Based Argumentation. ICAART (Revised Selected Papers) 2021: 197-207 - [c18]Teeradaj Racharak, Satoshi Tojo:
On Explanation of Propositional Logic-based Argumentation System. ICAART (2) 2021: 323-332 - [c17]May Myo Zin, Teeradaj Racharak, Nguyen Minh Le:
Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation. ICAART (2) 2021: 333-342 - [c16]Atitaya Yakaew, Matthew N. Dailey, Teeradaj Racharak:
Multimodal Sentiment Analysis on Video Streams using Lightweight Deep Neural Networks. ICPRAM 2021: 442-451 - [c15]Kong Wei Kun, Teeradaj Racharak, Yiming Cao, Peng Cheng, Minh Le Nguyen:
KGWE: A Knowledge-guided Word Embedding Fine-tuning Model. ICTAI 2021: 1221-1225 - [c14]Ha-Thanh Nguyen, Minh-Quan Bui, Chau Nguyen, Tung Le, Minh Phuong Nguyen, Tran Binh Dang, Vuong Thi Hai Yen, Teeradaj Racharak, Nguyen Le Minh, Duc-Vu Tran, Phan Viet Anh, Nguyen Truong Son, Huy Tien Nguyen, Bhumindr Butr-indr, Peerapon Vateekul, Prachya Boonkwan:
A Summary of the ALQAC 2021 Competition. KSE 2021: 1-5 - [e1]Thanaruk Theeramunkong, Nguyen Thanh Thuy, Le Minh Nguyen, Thepchai Supnithi, Lam Thu Bui, Yoshihiro Miyake, Teeradaj Racharak, Kiyota Hashimoto, Thaweesak Yingthawornsuk:
13th International Conference on Knowledge and Systems Engineering, KSE 2021, Bangkok, Thailand, November 10-12, 2021. IEEE 2021, ISBN 978-1-6654-9975-0 [contents] - [d2]Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frédéric Andrès:
TreatO Version 2: Rice Disease Control Ontology. IEEE DataPort, 2021 - [d1]Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frédéric Andrès:
RiceDO Version 2: Rice Disease Ontology. IEEE DataPort, 2021 - 2020
- [c13]Trung-Kien Vu, Teeradaj Racharak, Satoshi Tojo, Ha-Thanh Nguyen, Le Minh Nguyen:
Progressive Training in Recurrent Neural Networks for Chord Progression Modeling. ICAART (2) 2020: 89-98 - [c12]Ha-Thanh Nguyen, Trung-Kien Vu, Teeradaj Racharak, Le Minh Nguyen, Satoshi Tojo:
Knowledge Injection to Neural Networks with Progressive Learning Strategy. ICAART (Revised Selected Papers) 2020: 280-290 - [c11]Kong Wei Kun, Teeradaj Racharak, Le-Minh Nguyen:
Can Knowledge Enhance Reading Comprehension? An Integrated Approach with Semantic Lexicon. KSE 2020: 7-12
2010 – 2019
- 2019
- [j2]Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan:
On Construction and Evaluation of Analogical Arguments for Persuasive Reasoning. Appl. Artif. Intell. 33(13): 1107-1132 (2019) - [c10]Teeradaj Racharak, Watanee Jearanaiwongkul, Chutiporn Anutariya:
Concept Similarity Under the Agent's Preferences for the Description Logic $\mathcal {A}\!\mathcal {L}\!\mathcal {E}\!\mathcal {H}$. JIST (2) 2019: 34-42 - [c9]Teeradaj Racharak:
Abstract Argumentation for Summarizing Product Reviews: A Case Study in Shopee Thailand. KSE 2019: 1-6 - 2018
- [j1]Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo:
Personalizing a Concept Similarity Measure in the Description Logic ELH with Preference Profile. Comput. Informatics 37(3): 581-613 (2018) - [c8]Teeradaj Racharak, Satoshi Tojo:
Concept Similarity under the Agent's Preferences for the Description Logic FL0 with Unfoldable TBox. ICAART (2) 2018: 201-210 - [c7]Teeradaj Racharak, Satoshi Tojo:
Inherited Properties of ℱ_0 Concept Similarity Measure Under Preference Profile. ICAART (Revised Selected Papers) 2018: 343-360 - 2017
- [c6]Teeradaj Racharak, Satoshi Tojo:
Analogical Reasoning in Clinical Practice with Description Logic ELH. ICAART (Revised Selected Papers) 2017: 179-204 - [c5]Teeradaj Racharak, Satoshi Tojo:
Tuning Agent's Profile for Similarity Measure in Description Logic ELH. ICAART (2) 2017: 287-298 - [c4]Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan:
Combining Answer Set Programming with Description Logics for Analogical Reasoning Under an Agent's Preferences. IEA/AIE (2) 2017: 306-316 - 2016
- [c3]Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo:
simπ: A Concept Similarity Measure under an Agent's Preferences in Description Logic ELH. ICAART (2) 2016: 480-487 - [c2]Teeradaj Racharak, Satoshi Tojo, Nguyen Duy Hung, Prachya Boonkwan:
Argument-Based Logic Programming for Analogical Reasoning. JSAI-isAI Workshops 2016: 253-269 - 2015
- [c1]Teeradaj Racharak, Boontawee Suntisrivaraporn, Satoshi Tojo:
Identifying an Agent's Preferences Toward Similarity Measures in Description Logics. JIST 2015: 201-208
Coauthor Index
aka: Minh-Le Nguyen 0001
aka: Le Minh Nguyen 0001
aka: Le-Minh Nguyen 0001
aka: Nguyen Minh Le 0001
aka: Nguyen Le Minh 0001
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