( en | de | ru )

 

Disambiguation of "Seo, Hyunseok"

Author of the publication

copydeleteadd this publication to your clipboard
Prediction of power consumption in the factory using long-short term memory.

, , , , and . ICTC, page 1211-1214. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Eunyoung Seo

Ean-Jeong Seo

Ki-Chang Seong

Bong-Seock Seo

Paek Pyung Seon

 

Other publications of authors with the same name

Prediction of power consumption in the factory using long-short term memory., , , , and . ICTC, page 1211-1214. IEEE, (2019)Convolutional Network with Densely Backward Attention for Facial Expression Recognition., , , and . IMCOM, page 1-6. IEEE, (2020)Computed tomography vertebral segmentation from multi-vendor scanner data., , , , and . J. Comput. Des. Eng., 9 (4): 1650-1664 (2022)Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI., , , , and . AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 118-127. Springer, (2022)Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention., and . AAAI, page 2956-2964. AAAI Press, (2024)A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks., , , , , , , and . EMBC, page 3793-3796. IEEE, (2022)Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction., , , , , , , and . IEEE Trans Autom. Sci. Eng., 17 (3): 1570-1584 (2020)Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images., , , , and . IEEE Trans. Medical Imaging, 39 (5): 1316-1325 (2020)Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions., , and . IEEE Trans. Medical Imaging, 40 (2): 585-593 (2021)Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile., , and . AAAI, page 2929-2937. AAAI Press, (2024)