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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

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

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

Deepfakes - when we can no longer believe our eyes and ears : media manipulation in conflict : challenges and responses

Kleemann, Aldo - Stiftung Wissenschaft und Politik - 2023

Deception and media manipulation have always been an integral part of wartime propaganda. But never before has it been so easy to create high-quality fabrications of images as well as sound and video recordings. The tendency to react emotionally to these media opens up a whole new possibility...

Persistent link: https://www.econbiz.de/10014424351

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

Predicting the failures of prediction markets : a procedure of decision making using classification models

Tai, Chung-Ching; Lin, Hung-Wen; Chie, Bin-Tzong; Tung, … - In: International journal of forecasting 35 (2019) 1, pp. 297-312

Persistent link: https://www.econbiz.de/10012300629

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

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

Enhancing intermittent spare part demand forecasting : a novel ensemble approach with focal loss and smote

Kenaka, Saskia Puspa; Cakravastia, Andi; Ma'ruf, Anas; … - In: Logistics 9 (2025) 1, pp. 1-25

Technique (SMOTE) to balance the dataset and uses focal loss to enhance the sensitivity of deep learning models to rare demand …

Persistent link: https://www.econbiz.de/10015337499

How much does basic income cost? : modelling basic income as universal life annuity

Gan, Wee Chung - In: Basic income studies : BIS ; an international journal … 14 (2019) 2, pp. 1-10

Persistent link: https://www.econbiz.de/10012126933