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| Unsupervised spectral sub-feature learning for hyperspectral image classification Slavkovikj, Viktor; Verstockt, Steven; De Neve, Wesley; Van Hoecke, Sofie; Van de Walle, Rik, INTERNATIONAL JOURNAL OF REMOTE SENSING, v.37, no.2, pp.309 - 326, 2016 |
| Use of Machine Learning Methods to Reduce Predictive Error of Groundwater Models Xu, Tianfang; Valocchi, Albert J.; Choi, Jaesik; Amir, Eyal, GROUNDWATER, v.52, no.3, pp.448 - 460, 2014-05 |
| Using Titer and Titer Normalized to Confluence Are Complementary Strategies for Obtaining Chinese Hamster Ovary Cell Lines with High Volumetric Productivity of Etanercept Pristovsek, Nusa; Hansen, Henning Gram; Sergeeva, Daria; Borth, Nicole; Lee, Gyun Min; Andersen, Mikael Rordam; Kildegaard, Helene Faustrup, BIOTECHNOLOGY JOURNAL, v.13, no.3, pp.1 - 10, 2018-03 |
| Visually interpretable deep network for diagnosis of breast masses on mammograms Kim, Seong Tae; Lee, Jae-Hyeok; Lee, Hakmin; Ro, Yong Man, PHYSICS IN MEDICINE AND BIOLOGY, v.63, no.23, 2018-12 |
| What do robust equity portfolio models really do? Kim, Woo Chang; Kim, Jang Ho; Ahn, So Hyoung; Fabozzi, Frank J., ANNALS OF OPERATIONS RESEARCH, v.205, no.1, pp.141 - 168, 2013-05 |
| 인공지능과 다속성 의사결정을 이용한 베어링의 단계적 선정방법 = A stepwise selection method of bearings using artificial intelligence and multi-attribute decision makinglink 서태설; Seo, Tae-Sul; et al, 한국과학기술원, 2004 |
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