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Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization.

Y. Kim, H. Kim, J. Hyeon, and H. Choi. BigComp, page 386-389. IEEE, (2017)

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Ji-Young Hyeon

Hyeon-Bong Pyo

Jae-Hyeon Choe

Hyeon-Cheol Bong

Su-Hyeon Kwon

Other publications of authors with the same name

Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning.S. Im, J. Hyeon, E. Rha, J. Lee, H. Choi, Y. Jung, and T. Kim. Sensors, 21 (10): 3500 (2021)Automating Papanicolaou Test Using Deep Convolutional Activation Feature.J. Hyeon, H. Choi, K. Lee, and B. Lee. MDM, page 382-385. IEEE Computer Society, (2017)DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset.Y. Lee, B. Ko, H. Kim, J. Hyeon, and H. Choi. NAACL-HLT, page 1938-1963. Association for Computational Linguistics, (2024)Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization.Y. Kim, H. Kim, J. Hyeon, and H. Choi. BigComp, page 386-389. IEEE, (2017)Diagnosing cervical cell images using pre-trained convolutional neural network as feature extractor.J. Hyeon, H. Choi, B. Lee, and K. Lee. BigComp, page 390-393. IEEE, (2017)Large Language Models can Share Images, Too!Y. Lee, J. Hyeon, and H. Choi. CoRR, (2023)Large Language Models can Share Images, Too!Y. Lee, D. Lee, J. Sung, J. Hyeon, and H. Choi. ACL (Findings), page 692-713. Association for Computational Linguistics, (2024)Enhanced Deep Electric Pole Anomaly Detection Using Generative Adversarial Network-based Data Augmentation.D. Lee, J. Hyeon, and H. Choi. BigComp, page 377-378. IEEE, (2024)Medical Prognosis Generation from General Blood Test Results Using Knowledge-Based and Machine-Learning-Based Approaches.Y. Kim, J. Hyeon, K. Oh, and H. Choi. Australasian Conference on Artificial Intelligence, volume 9992 of Lecture Notes in Computer Science, page 125-136. Springer, (2016)Improving speech emotion recognition by fusing self-supervised learning and spectral features via mixture of experts.J. Hyeon, Y. Oh, Y. Lee, and H. Choi. Data Knowl. Eng., (2024)

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Disambiguation of "Hyeon, Jonghwan"

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Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization.

Please choose a person to relate this publication to

Ji-Young Hyeon

Hyeon-Bong Pyo

Jae-Hyeon Choe

Hyeon-Cheol Bong

Su-Hyeon Kwon

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hyeon, Jonghwan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization.

Please choose a person to relate this publication to

Ji-Young Hyeon

Hyeon-Bong Pyo

Jae-Hyeon Choe

Hyeon-Cheol Bong

Su-Hyeon Kwon

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization.