บุคลากรคณะวิทยาศาสตร์

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  • jarunee.d@psu.ac.th
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  • วิทยาการคอมพิวเตอร์
  • สาขาวิทยาศาสตร์การคำนวณ

ประวัติการศึกษา

ปีที่สำเร็จการศึกษา
วุฒิการศึกษา
ประเทศ
2555
Ph.D. (Systems Engineering) UNIVERSITY OF READING
United Kingdom
2544
วท.ม. (วิทยาการคอมพิวเตอร์) มหาวิทยาลัยสงขลานครินทร์
ไทย
2539
วท.บ. (วิทยาการคอมพิวเตอร์) มหาวิทยาลัยเชียงใหม่
ไทย

สาขาเชี่ยวชาญ / สาขาที่สนใจ

Computer Science

Publication

ฐานข้อมูล Scopus

Author ID: 26321555400
1
2025. COMPARATIVE STUDY OF DIFFERENT BERT LANGUAGE MODELS ON MEDICAL FINDINGS REVIEWS CLASSIFICATION. Icic Express Letters Part B Applications 16(4): 369-377. (cited 0 times)
2
2024. A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification. Artificial Intelligence in Medicine 148 (cited 4 times)
3
2023. A novel meta-embedding technique for drug reviews sentiment analysis. Iaes International Journal of Artificial Intelligence 12(4): 1938-1946. (cited 1 times)
4
2021. Comparison of intracranial injury predictability between machine learning algorithms and the nomogram in pediatric traumatic brain injury. Neurosurgical Focus 51(5) (cited 30 times)
5
2021. A new approach for extracting and scoring aspect using SentiWordNet. Indonesian Journal of Electrical Engineering and Computer Science 22(3): 1731-1738. (cited 8 times)
6
2021. Automatic aspect-based sentiment summarization for visual, structured, and textual summaries. Ecti Transactions on Computer and Information Technology 15(1): 50-72. (cited 4 times)
7
2021. NOVEL FRAMEWORK FOR ASPECT KNOWLEDGE BASE GENERATED AUTOMATICALLY FROM SOCIAL MEDIA USING PATTERN RULES. Computer Science 22(4): 489-516. (cited 4 times)
8
2021. Refining Word Embeddings Using Domain-Specific Knowledge for Drug Reviews Sentiment Classification. Icsec 2021 25th International Computer Science and Engineering Conference : 104-109. (cited 2 times)
9
2020. Clinical nomogram predicting intracranial injury in pediatric traumatic brain injury. Journal of Pediatric Neurosciences 15(4): 409-415. (cited 10 times)
10
2020. Enhancing aspects of Thai chief complaint classification Performance. ACM International Conference Proceeding Series : 177-181. (cited 0 times)
Access all results for your search in Scopus (Author ID: 26321555400)
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Publication

ฐานข้อมูลคณะวิทยาศาสตร์

1
Khine, A., Wettayaprasit, W., & Duangsuwan, J. (2024). A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification (SCIE). Artificial Intelligence In Medicine, 148, Article number 102758.
2
Khine, A., Wettayaprasit, W., & Duangsuwan, J. (2023). A novel meta-embedding technique for drug reviews sentiment analysis. Iaes International Journal Of Artificial Intelligence, 12(4), Pages 1938 - 1946.
3
Tran, T., Duangsuwan, J., & Wettayaprasit, W. (2021). NOVEL FRAMEWORK FOR ASPECT KNOWLEDGE BASE GENERATED AUTOMATICALLY FROM SOCIAL MEDIA USING PATTERN RULES (ESCI). Computer Science, 22(4), 489-516.
4
Tunthanathip, T., Duangsuwan, J., Wattanakitrungroj, N., Tongman, S., & Phuenpathom, N. (2021). Comparison of intracranial injury predictability between machine learning algorithms and the nomogram in pediatric traumatic brain injury (SCIE). Neurosurgical Focus, 51(5), Article Number E7.
5
Tran, T., Duangsuwan, J., & Wettayaprasit, W. (2021). A New Approach for Extracting and Scoring Aspect Using SentiWordNet. Indonesian Journal Of Electrical Engineering And Computer Science, 22(3), 1-9.
6
Tran, T., Duangsuwan, J., & Wettayaprasit, W. (2021). Automatic Aspect-Based Sentiment Summarization for Visual, Structured, and Textual Summaries. Ecti Transactions On Computer And Information Technology, 15(1), 1-23.
7
Tuntanatip, T., Duangsuwan, J., Wattanakitrungroj, N., Tongman, S., & Phuenpathom, N. (2020). Clinical nomogram predicting intracranial injury in pediatric traumatic brain injury. Journal Of Pediatric Neurosciences, 15(4), 409-415.
8
Liu, K., Duangsuwan, J., & Huang, Z. (2011). Intelligent Agents Enabling Negotiated Control of Pervasive Environments. Chiang Mai Journal Of Science, 38(-), 99-122.