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국회도서관 홈으로 정보검색 소장정보 검색

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Contents 1

Experimental analysis of bankruptcy prediction with SHAP framework on polish companies / Tuguldur Enkhtuya ; Dae-Ki Kang 1

Abstract 1

1. Introduction 1

2. Background 2

3. Methodology 3

3.1. Algorithms 3

3.2. Data 3

4. Experiment and Results 4

5. Conclusion 5

References 5

권호기사

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
(A) hybrid index of Voronoi and grid partition for NN search Seokjin Im p. 1-8

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Performance comparison of HTTP, HTTPS, and MQTT for IoT applications Sukjun Hong, Jinkyu Kang, Soonchul Kwon p. 9-17

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(An) empirical study on the comparison of LSTM and ARIMA forecasts using stock closing prices Gui Yeol Ryu p. 18-30

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Research and design of guidance and control system for unmanned surface vessels Nhat Duy Nguyen p. 31-40

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Comparative analysis of blockchain trilemma Soonduck Yoo p. 41-52

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Experimental analysis of bankruptcy prediction with SHAP framework on polish companies Tuguldur Enkhtuya, Dae-Ki Kang p. 53-58

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Malware detector classification based on the sprt in IoT Jun-Won Ho p. 59-63

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SPRT-based collaboration construction for malware detection in IoT Jun-Won Ho p. 64-69

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Considering read and write characteristics of page access separately for efficient memory management Hyokyung Bahn p. 70-75

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Design of an efficient in-memory journaling file system for non-volatile memory media Hyokyung Bahn p. 76-81

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Direction of global citizenship education in the age of infodemic : a case study of the COVID-19 pandemic in Korea Jisu Park p. 82-91

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Estimating indoor radio environment maps with mobile robots and machine learning Taewoong Hwang, Mario R. Camana Acosta, Carla E. Garcia Moreta, Insoo Koo p. 92-100

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Effect of cut depth on rough quality and energy consumption when turing cylindrical with the pinacho S-90/200 lathe Sang Van Nguyen, Fadhli Ranuharja p. 101-107

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(The) effect of instatoon service quality on diffusion intention through satisfaction and dissatisfaction coexistence Chanuk Park, Sin-Bok Lee, Young-Il Chae p. 108-119

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Psychometrics of perspective taking in writing : combining manual coding and computational approaches Minkyung Cho p. 120-129

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(A) study on real-time graphic workflow for achieving the photorealistic virtual influencer Haitao Jiang p. 130-139

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Enhancing the reliability of OTT viewing data in the golden age of streaming : a small sample AHP analysis and in-depth interview Seung-Chul Yoo, Yoontaek Sung, Hye-Min Byeon, Yoonmo Sang, Diana Piscarac p. 140-148

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Analysis and detection of malicious data hidden in slack space on OOXML-based corrupted MS-Office digital files Sangwon Na, Hyung-Woo Lee p. 149-156

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(The) joint effect of multi-promotion offers and consumer mindset in fostering product purchase intention Moon-Yong Kim, Minhee Son p. 157-163

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(A) study on the meaning of the first Slam Dunk based on text mining and semantic network analysis Kyung-Won Byun p. 164-172

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(The) effect of selection attributes of public delivery apps and support for public institutions on the intention of restaurant service providers to use public delivery apps Se-Yong Kwon, Li-Ping Yu, Hyung-Ho Kim p. 173-183

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Effects of resistance exercise for 12-weeks on body composition, circumference and muscle activity by age Sang Hyun Lee p. 184-192

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Prediction of veterans care demand and supply system for veterans Tae Gyu Yu p. 193-198

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(A) study on trend impact analysis based of adaptive neuro-fuzzy inference system Yong-Gil Kim, Kang-Yeon Lee p. 199-207

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(A) study of analysis and review of cargo urban railway stations of Korea for underground logistics systems Myung Sung Kim, Kyung Ho Jang, Young Min Kim, Joo Uk Kim p. 208-219

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On the evaluation criteria of test bed based on urban logistics system using underground space Min Joong Kim, Kyung Ho Jang, Young Min Kim, Joo Uk Kim p. 220-229

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참고문헌 (14건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 S.R. Islam, W. Eberle, S. Bundy and S.K. Ghafoor, “Infusing Domain Knowledge in AI-based "Black Box" Models for Better Explainability with Application in Bankruptcy Prediction,” in Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2019, Anomaly Detection in Finance Workshop, Anchorage AK USA Aug. 4-8, 2019. DOI: https://doi.org/10.48550/arXiv.1905.11474 미소장
2 C. Molnar, Interpretable Machine Learning: A Guide for Making Black Box Models Explainable (2nd ed.), Independently published, 2022. 미소장
3 A. Roth, The Shapley Value, Cambridge University Press, 1988. 미소장
4 D. Unzueta, “Fully Connected Layer vs. Convolutional Layer: Explained.” Oct. 18, 2022 . builtin.com/machine-learning/fully-connected-layer, Accessed Feb. 17, 2023. 미소장
5 O. Biran and C. Cotton, “Explanation and Justification in Machine Learning: A Survey,” in Proc. IJCAI Workshop on Explainable Artificial Intelligence (XAI), Aug. 13, 2017. 미소장
6 J.L. Bellovary, S. Giacomino, and M.D. Akers, “A Review of Bankruptcy Prediction Studies: 1930-Present,”Journal of Financial Education, Vol. 33, pp. 1-42, January 2007. 미소장
7 E. Sfakianakis, “Bankruptcy Prediction Model for Listed Companies in Greece,” Investment Management and Financial Innovations, Vol. 18, No. 2, pp. 166-180, May 2021. DOI: http://dx.doi.org/10.21511/imfi.18(2).2021.14 미소장
8 S. Tian, Y. Yu, and H. Guo, “Variable Selection and Corporate Bankruptcy Forecasts,” Journal of Banking &Finance, Vol. 52, pp. 89-100, March 2015. DOI: https://doi.org/10.1016/j.jbankfin.2014.12.003 미소장
9 L. Cultrera, and X. Brédart, “Bankruptcy Prediction: The Case of Belgian SMEs,” Review of Accounting and Finance, Vol. 15, No. 1, pp. 101-119. February 2016. DOI: https://doi.org/10.1108/RAF-06-2014-0059 미소장
10 B. Ramsundar, and R.B. Zadeh, “TensorFlow for Deep Learning,” Chapter 4. Fully Connected Deep Networks, March 2018. 미소장
11 L.F.S. Scabini, and O.M. Bruno, “Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties,” arXiv:2107.14062v1, July 2021. DOI: https://doi.org/10.48550/arXiv.2107.14062 미소장
12 B. Rozemberczki, L.Watson, P.Bayer, H.T.Yang, Olivér Kiss, S. Nilsson and R. Sarkar “The Shapley Value in Machine Learning,” in Proc. 31st International Joint Conference on Artificial Intelligence (IJCAI-22), International Joint Conferences on Artificial Intelligence Organization, pp. 5572-5579. Feb 11, 2022. DOI:https://doi.org/10.48550/arXiv.2202.05594 미소장
13 S.M. Lundberg, and S.-I. Lee, “A Unified Approach to Interpreting Model Predictions,” in Proc. 31st International Conference on Neural Information Processing Systems, pp. 4768–4777, December 2017. DOI:https://doi.org/10.48550/arXiv.1705.07874 미소장
14 N.V. Chawla, K.W. Bowyer, L.O. Hall, and W. P. Kegelmeyer, “SMOTE: Synthetic Minority Over-sampling Technique,” Vol. 16, No. 1, pp. 321-357, June 2002. DOI: https://doi.org/10.1613/jair.953 미소장