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Insu Choi
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2020 – today
- 2024
- [j3]Insu Choi
, Woosung Koh, Bonwoo Koo, Woo Chang Kim:
Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling. Eng. Appl. Artif. Intell. 128: 107378 (2024) - [j2]Insu Choi, Woo Chang Kim
:
Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings. Entropy 26(1): 70 (2024) - [c5]Insu Choi, Woo Chang Kim:
An Iridescent Insights of Statistical Interdependencies of Financial Markets. BigComp 2024: 359-360 - [i2]Insu Choi, Woosung Koh, Gimin Kang, Yuntae Jang, Woo Chang Kim:
Encoding Temporal Statistical-space Priors via Augmented Representation. CoRR abs/2401.16808 (2024) - 2023
- [c4]Insu Choi, Jae-Youn Hong, JaeHwa Jeon, Joon-Sung Yang:
RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks. DAC 2023: 1-2 - [c3]JaeHwa Jeon, Jae-Youn Hong, Sunghoon Kim, Insu Choi, Joon-Sung Yang:
PIE-DRAM: Postponing IECC to Enhance DRAM performance with access table. DAC 2023: 1-2 - [i1]Woosung Koh, Insu Choi, Yuntae Jang, Gimin Kang, Woo Chang Kim:
Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series. CoRR abs/2311.13326 (2023) - 2022
- [c2]Suyong Lee, Insu Choi, Joon-Sung Yang:
Bipolar vector classifier for fault-tolerant deep neural networks. DAC 2022: 673-678 - 2021
- [j1]Insu Choi, Woo Chang Kim
:
Detecting and Analyzing Politically-Themed Stocks Using Text Mining Techniques and Transfer Entropy - Focus on the Republic of Korea's Case. Entropy 23(6): 734 (2021) - 2020
- [c1]Changmin Lee, Wonjae Shin, Dae Jeong Kim, Yongjun Yu, Sung-Joon Kim, Taekyeong Ko, Deokho Seo, Jongmin Park, Kwanghee Lee, Seongho Choi, Namhyung Kim, Vishak G, Arun George, Vishwas V, Donghun Lee, Kang-Woo Choi, Changbin Song, Dohan Kim, Insu Choi, Ilgyu Jung, Yong Ho Song, Jinman Han:
NVDIMM-C: A Byte-Addressable Non-Volatile Memory Module for Compatibility with Standard DDR Memory Interfaces. HPCA 2020: 502-514
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last updated on 2024-07-20 21:19 CEST by the dblp team
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