This paper proposes a generalized deep learning approach for predicting claims developments for non-life insurance …-ladder predicted outstanding claims are used as part of the multi-task learning to remove the dependence on case estimates. Grid … outperforms both traditional chain-ladder methodology, the automated machine learning approaches (AutoML), and the original …

the projected mortality rates. Therefore, we propose an alternative approach the ARIMA processes based on a deep learning …

interest in FX modeling and prediction. Recently, machine learning (ML) and deep learning (DL) techniques have shown promising …

mining frameworks, including metamodeling and active learning, have been proposed in recent years. Active learning, a …. Successful application of active learning requires an effective metric in order to gauge the informativeness of data. Current … portfolio valuation and investigate the impact of prediction bias in both the modeling and sampling stages of active learning …

predicting loan eligibility remains a critical yet underexplored challenge. While machine learning and deep learning techniques … investigated. This study aims to evaluate and compare the predictive effectiveness of four supervised learning models - such as … distinct strengths. Deep Learning achieved the highest classification accuracy (85.55%), while random forest demonstrated …

information of the financial supervisory service of South Korea from 2008 to 2019. In this study, machine learning techniques …-driven approaches using machine learning techniques. …

quarterly under regulation for transparent management information. This study employs a combination of Machine learning … least-squares regression (OLS). As a result of the findings from Machine learning techniques, a set of important predictors …

, the present study attempts to establish a bankruptcy prediction model using a machine learning approach and to compute and … using a two-step feature selection technique. First, a relief algorithm is used for primary screening of useful features …

modeling techniques in improving pension participation. The study utilized three tree-based machine learning algorithms and a …