데싸(Data Science) 노트

저자 Karen Stengel et al. 게재 저널 PNAS (Proceedings of the National Academy of Sciences of the United States of America) 게재 날짜 2020년 07월 21일 URL https://www.pnas.org/content/117/29/16805.short Adversarial super-resolution of climatological wind and solar data Global climate simulations are typically unable to resolve wind and solar data at a resolution sufficient for renewable energy resource assess..

논문 명: LightGBM: A Highly Efficient Gradient Boosting Decision Tree 저자 명: Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu 게재 저널: NIPS 2017 (31st Conference on Neural Information Processing Systems) 게재 날짜: 2017년 URL: http://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision LightGBM: A Highly Efficient Gradient Boosting Dec..

논문 명: U-Net: Convolutional Networks for Biomedical Image Segmentation 저자 명: Olaf Ronneberger, Philipp Fischer, and Thomas Brox 게재 저널: International Conference on Medical Image Computing and Computer-Assisted Intervention 게재 날짜: 2015년 5월 18일 URL: https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28