( en | de | ru )

 

Disambiguation of "Lee, Shin-Jye"

Author of the publication

copydeleteadd this publication to your clipboard
A Restoration Scheme for Spatial and Spectral Resolution of the Panchromatic Image Using the Convolutional Neural Network.

, , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)

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.

Shin-Jye Lee

Shin-Keun Lee

Eung-Shin Lee

Dong-Shin Shin

Jeonghun Shin

Kirche als Weltforum: zum Dialogverständnis in kirchlichen Dokumenten seit dem Zweiten Vatikanischen Konzil. Uni München, (2009)
 

Other publications of authors with the same name

Hybrid Generative Adversarial Networks for News Recommendation., , , and . J. Inf. Sci. Eng., 39 (6): 1437-1457 (November 2023)A boosting resampling method for regression based on a conditional variational autoencoder., , , , and . Inf. Sci., (2022)News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks., , , and . Data Technol. Appl., 58 (1): 24-41 (2024)Semisupervised Remote Sensing Image Fusion Using Multiscale Conditional Generative Adversarial Network With Siamese Structure., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Knowledge From the Dark Side: Entropy-Reweighted Knowledge Distillation for Balanced Knowledge Transfer., , and . CoRR, (2023)UPANets: Learning from the Universal Pixel Attention Neworks., , , , , , and . Entropy, 24 (9): 1243 (2022)CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks., , , , , and . IJCNN, page 1-9. IEEE, (2021)Actinic Keratosis Prediction Based on Deep Learning Methods., , , , , and . CORES/IP&C, volume 766 of Lecture Notes in Networks and Systems, page 111-120. Springer, (2023)A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and Its Application to PM2.5 Prediction., and . CORES/IP&C, volume 766 of Lecture Notes in Networks and Systems, page 233-243. Springer, (2023)A Boosting Regression-Based Method to Evaluate the Vital Essence in Semiconductor Industry Performance., , , and . IEEE Access, (2020)