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Showing 5 of 65 academic articles

Incorporating Feature Interactions and Contrastive Learning for Credit Prediction

Lisi Zhang, Qiancheng Yu, Beijing Zhou, Yifan Zhang et al. • IEEE Access (2023)

The efficacy of credit risk assessment models is pivotal to the risk management capacity of financial institutions. Traditional credit risk models often suffer from inadequate predictive accuracy due to overlooked feature combinations and w...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3322429

Machine Learning and AI for Risk Management

Saqib Aziz, Michael Dowling • Palgrave studies in digital business & enabling technologies (2018)

We explore how machine learning and artificial intelligence (AI) solutions are transforming risk management. A non-technical overview is first given of the main machine learning and AI techniques of benefit to risk managementRisk management...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1007/978-3-030-02330-0_3

Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction

Alejandro Casallas, Camila Jiménez-Saenz, Victor Torres, Miguel Quirama-Aguilar et al. • Sensors (2022)

Throughout the years, wildfires have negatively impacted ecological systems and urban areas. Hence, reinforcing territorial risk management strategies against wildfires is essential. In this study, we built an early alert system (EAS) with ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22228790

Time Series Impact Through Topic Modeling

Julian Cendrero, Julio Gonzalo, Marcos Galletero, Ivar Zapata • IEEE Access (2022)

A time-series of numerical data and a sequence of time-ordered documents are often correlated. This paper aims at modeling the impact that the underlying themes discussed in the text data have on the time series. To do so, we introduce an o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3202960

Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture

B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance (2026)

The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.iref.2026.104916