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Kangil Kim
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A deep neural network for classification of melt-pool images in metal additive manufacturing
O Kwon, HG Kim, MJ Ham, W Kim, GH Kim, JH Cho, NI Kim, K Kim
Journal of Intelligent Manufacturing 31 (2), 375-386, 2020
1512020
Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network
K Kim, DK Kim, J Noh, M Kim
IEEE Access 6, 75216-75228, 2018
412018
Probabilistic model building in genetic programming: a critical review
K Kim, Y Shan, XH Nguyen, RI McKay
Genetic Programming and Evolvable Machines 15 (2), 115-167, 2014
322014
Improving LSTM CRFs using character-based compositions for Korean named entity recognition
SH Na, H Kim, J Min, K Kim
Computer Speech & Language 54, 106-121, 2019
292019
Prediction of the mortality risk in peritoneal dialysis patients using machine learning models: a nation-wide prospective cohort in Korea
J Noh, KD Yoo, W Bae, JS Lee, K Kim, JH Cho, H Lee, DK Kim, CS Lim, ...
Scientific reports 10 (1), 1-11, 2020
172020
A Convolutional Neural Network for Prediction of Laser Power Using Melt-Pool Images in Laser Powder Bed Fusion
O Kwon, HG Kim, W Kim, GH Kim, K Kim
IEEE Access 8, 23255-23263, 2020
172020
Operator self-adaptation in genetic programming
MH Kim, RIB McKay, NX Hoai, K Kim
Genetic Programming, 215-226, 2011
102011
Verbosity normalized pseudo-relevance feedback in information retrieval
SH Na, K Kim
Information Processing & Management 54 (2), 219-239, 2018
92018
Classification-Based Approach for Hybridizing Statistical and Rule-Based Machine Translation
EJ Park, OW Kwon, K Kim, YK Kim
ETRI Journal 37 (3), 541-550, 2015
92015
Stochastic diversity loss and scalability in estimation of distribution genetic programming
K Kim, RI McKay
IEEE Transactions on Evolutionary Computation 17 (3), 301-320, 2013
92013
Stochastic diversity loss and scalability in estimation of distribution genetic programming
K Kim, RI McKay
IEEE Transactions on Evolutionary Computation 17 (3), 301-320, 2013
92013
Line Chart understanding with convolutional neural network
C Sohn, H Choi, K Kim, J Park, J Noh
Electronics 10 (6), 749, 2021
82021
Improving stack LSTMs by combining syllables and morphemes for korean dependency parsing
SH Na, JH Shin, K Kim
Çѱ¹¾îÁ¤º¸ÇÐȸ: Çмú´ëȸ³í¹®Áý, 9-13, 2016
72016
Sampling bias in estimation of distribution algorithms for genetic programming using prototype trees
K Kim, BRI McKay, D Punithan
Pacific Rim International Conference on Artificial Intelligence, 100-111, 2010
72010
Investigating vesicular selection: A selection operator in in vitro evolution
YG Lee, B McKay, KI Kim, DK Kim, NX Hoai
Applied Soft Computing 11 (8), 5528-5550, 2011
62011
Recursion-based biases in stochastic grammar model genetic programming
K Kim, RIB McKay, NX Hoai
IEEE Transactions on Evolutionary Computation 20 (1), 81-95, 2016
52016
Divergence-based fine pruning of phrase-based statistical translation model
K Kim, EJ Park, J Shin, OW Kwon, YK Kim
Computer Speech and Language, 2016
42016
Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions
S Woo, J Noh, K Kim
IEEE Transactions on Neural Networks and Learning Systems, 2022
32022
Center-shared sliding ensemble of neural networks for syntax analysis of natural language
K Kim, Y Jin, S Nah, YK Kim
Expert Systems with Applications 83, 215–225, 2017
32017
Time-sensitive adaptation of regularization strength of recurrent neural networks for accurate learning
K Kim
2017 16th IEEE International Conference on Machine Learning and Applications ¡¦, 2017
22017
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