Ha Young Kim
Orcid: 0000-0001-5853-7589
According to our database1,
Ha Young Kim
authored at least 24 papers
between 2016 and 2023.
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Bibliography
2023
CSLT-AK: Convolutional-embedded transformer with an action tokenizer and keypoint emphasizer for sign language translation.
Pattern Recognit. Lett., September, 2023
ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting.
CoRR, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Ultra-lightweight face activation for dynamic vision sensor with convolutional filter-level fusion using facial landmarks.
Expert Syst. Appl., 2022
"Do not deceive me anymore!" interpretation through model design and visualization for instagram counterfeit seller account detection.
Comput. Hum. Behav., 2022
Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework.
Appl. Soft Comput., 2022
Pro-Attention: Efficient Probability Distribution Matching-Based Attention Through Feature Space Conversion.
IEEE Access, 2022
ADEL: Adaptive Distribution Effective-Matching Method for Guiding Generators of GANs.
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
J. Am. Medical Informatics Assoc., 2021
DeepOption: A novel option pricing framework based on deep learning with fused distilled data from multiple parametric methods.
Inf. Fusion, 2021
Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, 2021
2020
Pattern Recognit. Lett., 2020
Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation.
Expert Syst. Appl., 2020
Bioinform., 2020
2019
Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images.
J. Comput. Civ. Eng., 2019
Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning.
Expert Syst. Appl., 2019
Optimizing the Pairs-Trading Strategy Using Deep Reinforcement Learning with Trading and Stop-Loss Boundaries.
Complex., 2019
2018
Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models.
Expert Syst. Appl., 2018
ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module.
Expert Syst. Appl., 2018
2017
Learning representations for the early detection of sepsis with deep neural networks.
Comput. Biol. Medicine, 2017
2016
Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016