Showing results 1 to 19 of 19
A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective Roh, Yuji; Heo, Geon; Whang, Steven Euijong, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.33, no.4, pp.1328 - 1347, 2021-04 |
Bayesian Optimization of MOSFET Devices Using Effective Stopping Condition![]() Kim, Bokyeom; Shin, Mincheol, IEEE ACCESS, v.9, pp.108480 - 108494, 2021-08 |
Byzantine Fault Tolerant Distributed Stochastic Gradient Descent Based on Over-the-Air Computation Park, Sangjun; Choi, Wan, IEEE TRANSACTIONS ON COMMUNICATIONS, v.70, no.5, pp.3204 - 3219, 2022-05 |
Convolutional Neural Network With Developmental Memory for Continual Learning Park, Gyeongmoon; Yoo, Sahngmin; Kim, Jong-Hwan, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.32, no.6, pp.2691 - 2705, 2021-06 |
Cross-Informed Domain Adversarial Training for Noise-Robust Wake-Up Word Detection Lim, Hyungjun; Kim, Younggwan; Kim, Hoirin, IEEE SIGNAL PROCESSING LETTERS, v.27, pp.1769 - 1773, 2020-09 |
Development of Neural Network Model With Explainable AI for Measuring Uranium Enrichment Ryu, Jichang; Park, Chanjun; Park, Jungsuk; Cho, Namchan; Park, Jaehyun; Cho, Gyuseong, IEEE TRANSACTIONS ON NUCLEAR SCIENCE, v.68, no.11, pp.2670 - 2681, 2021-11 |
Dual-Branch Structured De-Striping Convolution Network Using Parametric Noise Model![]() Lee, Jongho; Ro, Yong Man, IEEE ACCESS, v.8, pp.155519 - 155528, 2020-08 |
Frequency-Shifting-Based B2D-DCT-PCA for Handheld Landmine Detection Using GPR Data Hahm, Jonghun; Kim, Seong-Dae; Kim, Donghyun; Choi, Soon-Ho, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.18, no.9, pp.1560 - 1564, 2021-09 |
Joint Learning of Generative Translator and Classifier for Visually Similar Classes![]() Yoo, Byungin; Sylvain, Tristan; Bengio, Yoshua; Kim, Junmo, IEEE ACCESS, v.8, pp.219160 - 219173, 2020 |
Learning Flexible and Fair Data Representations Usama, Muhammad; Chang, Dong Eui, IEEE ACCESS, v.10, pp.99235 - 99242, 2022-09 |
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 |
Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech Choi, Yeunju; Jung, Youngmoon; Suh, Youngjoo; Kim, Hoi-Rin, IEEE ACCESS, v.10, pp.52621 - 52629, 2022-05 |
Meta-Learning Amidst Heterogeneity and Ambiguity Go, Kyeongryeol; Kim, Mingyu; Yun, Seyoung, IEEE ACCESS, v.11, pp.1578 - 1592, 2023 |
MumfordShah Loss Functional for Image Segmentation With Deep Learning Kim, Boah; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, pp.1856 - 1866, 2020-01 |
Recursive Visual Explanations Mediation Scheme Based on DropAttention Model With Multiple Episodes Pool Jeon, Minsu; Kim, Taewoo; Kim, Seonghwan; Lee, Changha; Youn, Chan-Hyun, IEEE ACCESS, v.11, pp.4306 - 4321, 2023 |
Single Image Deraining Using Time-Lapse Data Cho, Jaehoon; Kim, Seungryong; Min, Dongbo; Sohn, Kwanghoon, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, pp.7274 - 7289, 2020 |
Tweaking Deep Neural Networks Kim, Jinwook; Yoon, Heeyong; Kim, Min-Soo, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.9, pp.5715 - 5728, 2022-09 |
Unit Module-Based Convergence Acceleration for Topology Optimization Using the Spatiotemporal Deep Neural Network![]() Joo, Younghwan; Yu, Yonggyun; Jang, In Gwun, IEEE ACCESS, v.9, pp.149766 - 149779, 2021-11 |
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning Luu, Tung M.; Nguyen, Thanh; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64965 - 64975, 2022 |
Discover