Showing results 12 to 19 of 19
Learning From Noisy Labels With Deep Neural Networks: A Survey Song, Hwanjun; Kim, Minseok; Park, Dongmin; Shin, Yooju; Lee, Jae-Gil, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.34, no.11, pp.8135 - 8153, 2023-11 |
Minimizing makespan in a two-machine flowshop with a limited waiting time constraint and sequence-dependent setup times An, Young-Jin; Kim, Yeong-Dae; Choi, Seong-Woo, COMPUTERS & OPERATIONS RESEARCH, v.71, pp.127 - 136, 2016-07 |
Minimizing total tardiness of orders with reentrant lots in a hybrid flowshop Choi, SW; Kim, Yeong-Dae; Lee, GC, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.43, pp.2149 - 2167, 2005-06 |
Part-mix allocation in a hybrid manufacturing system with a flexible manufacturing cell and a conventional jobshop Lee, DH; Kim, Yeong-Dae, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.34, no.5, pp.1347 - 1360, 1996-05 |
Receiver set partitioning and sequencing for multicasting traffic in a WDM lightwave single-hop network Sung, Chang Sup; Rim, HC, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.55, no.6, pp.630 - 639, 2004-06 |
Scheduling of Products with Common and Product-Dependent ComponentsManufactured at a Single Facility Sung, Chang Sup, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.44, no.8, pp.773 - 784, 1993-01 |
Three-machine flow shop scheduling with overlapping waiting time constraints Kim, Hyunjung; Lee, Jun-Ho, COMPUTERS & OPERATIONS RESEARCH, v.101, pp.93 - 102, 2019-01 |
Tracking customer risk aversion Kong, Hyeongwoo; Yun, Wonje; Kim, Woo Chang, FINANCE RESEARCH LETTERS, v.54, 2023-06 |
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