Similar Search Results

Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

Jishan, Syed; Rashu, Raisul; Haque, Naheena; Rahman, … - In: Decision Analytics 2 (2015), pp. 1-25

-sampling technique known as the Synthetic Minority Over-Sampling (SMOTE) to improve the accuracy of the students' final grade prediction …

Persistent link: https://www.econbiz.de/10010531019

DeepPricing : pricing convertible bonds based on financial time-series generative adversarial networks

Tan, Xiaoyu; Zhang, Zili; Zhao, Xuejun; Wang, Shuyi - In: Financial innovation : FIN 8 (2022), pp. 1-38

Convertible bonds are an important segment of the corporate bond market, however, as hybrid instruments, convertible bonds are difficult to value because they depend on variables related to the underlying stock, the fixed-income part, and the interaction between these components. Besides,...

Persistent link: https://www.econbiz.de/10013272634

An overview of current issues in automatic text summarization of natural language using artificial intelligence methods

Kuznietsov, Oleksii; Kyselov, Gennadiy - In: Technology audit and production reserves 4 (2024) 2/78, pp. 12-19

Persistent link: https://www.econbiz.de/10015078637

Prediction of the bankruptcy of Slovak companies using neural networks with SMOTE

Tumpach, Miloš; Surovičová, Adriana; Juhászová, Zuzana - In: Ekonomický časopis : časopis pre ekonomickú … 68 (2020) 10, pp. 1021-1039

Persistent link: https://www.econbiz.de/10012591738

Synthetic dataset generation of driver telematics

So, Banghee; Boucher, Jean-Philippe; Valdez, Emiliano - In: Risks : open access journal 9 (2021) 4, pp. 1-19

of feature variables is generated applying an extended SMOTE algorithm. The second stage is simulating values for the …

Persistent link: https://www.econbiz.de/10012508585

Effects of resampling techniques on imbalanced data classification : a new under-resampling method

Nguyen, Son; Schumacher, Phyllis; Olinsky, Alan; Quinn, John - In: Advances in business and management forecasting 14 (2021), pp. 51-70

Persistent link: https://www.econbiz.de/10014291699

Modelling credit risk with scarce default data : on the suitability of cooperative bootstrapped strategies for small low-default portfolios

Florez-Lopez, Raquel; Ramon-Jeronimo, Juan Manuel - In: Journal of the Operational Research Society : OR 65 (2014) 3, pp. 416-434

Persistent link: https://www.econbiz.de/10010251689

Dynamic financial distress prediction based on class-imbalanced data batches

Sun, Jie; Liu, Xin; Ai, Wenguo; Tian, Qianyuan - In: International journal of financial engineering 8 (2021) 3, pp. 1-35

Persistent link: https://www.econbiz.de/10012655025

Grabit : gradient tree-boosted Tobit models for default prediction

Sigrist, Fabio; Hirnschall, Christoph - In: Journal of banking & finance 102 (2019), pp. 177-192

Persistent link: https://www.econbiz.de/10012162742

Credit risk scoring with bayesian network models

Leong, Chee Kian - In: Computational economics 47 (2016) 3, pp. 423-446

Persistent link: https://www.econbiz.de/10011712410