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Machine Learning in Banking Risk Management: A Literature Review
2019
Risks
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Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are being detected, measured, reported and managed. ...
The review has shown that the application of machine learning in the management of banking risks such as credit risk, market risk, operational risk and liquidity risk has been explored; however, it doesn't ...
Yu et al. (2016) propose a novel multistage deep belief network based extreme machine learning as promising tool for credit risk assessment. ...
doi:10.3390/risks7010029
fatcat:laddvv3hxbaxzau5zgjrv5pkhe
Artificial intelligence for anti-money laundering: a review and extension
2020
Digital Finance
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We review the state-of-the-art AI methods for AML and extend the discussion by proposing a framework that utilizes advanced natural language processing and deep-learning techniques to facilitate next-generation ...
We bridge the gap between the current AML methods and state-of-the art AI, highlighting new trends and directions in AI that can be used to develop the AML pipeline into a robust, scalable solution with ...
We would like to thank Accenture Applied Intelligence, Fraud and Risk Analytics and Technology Labs teams for inspiring conversations and support. ...
doi:10.1007/s42521-020-00023-1
fatcat:kcvdbmmk6bhaxetmidrgxzx3g4
Current landscape and influence of big data on finance
2020
Journal of Big Data
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In addition, it also helps in detecting fraud [25, 56] by reducing manual efforts by relating internal as well as external data in issues such as money laundering, credit card fraud, and so on. ...
using traditional models. ...
doi:10.1186/s40537-020-00291-z
fatcat:fxtdabm2zrc3zezvzbzr4tssy4
AI in Finance: Challenges, Techniques and Opportunities
[article]
2021
arXiv
pre-print
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We then structure and illustrate the data-driven analytics and learning of financial businesses and data. ...
The landscapes and challenges of financial businesses and data are firstly outlined, followed by a comprehensive categorization and a dense overview of the decades of AI research in finance. ...
refer to such activities conducted by a provider or recipient of an EcoFin service, e.g., overclaiming tax, repaying a debt, charging a credit card for online shopping, and suspending a compromised card ...
arXiv:2107.09051v1
fatcat:g62cz4dqt5dcrbckn4lbveat3u
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
[article]
2022
arXiv
pre-print
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Due to the rapid development of Internet-connected systems and Artificial Intelligence in recent years, Artificial Intelligence including Machine Learning (ML) and Deep Learning (DL) has been widely utilized ...
in the fields of cyber security including intrusion detection, malware detection, and spam filtering. ...
[199] proposed a multi-modal hierarchical attention model (MMHAM) that, for phishing website detection, jointly learned the deep fraud cues from the three main modalities of website content including ...
arXiv:2208.14937v1
fatcat:qyqk2oxsbvhapjszbkwuz3aw5q
Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging
2015
Journal of Biomedical Optics
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After the ground-truth database was generated, we developed a multistage method based on Z -test and univariate analysis to detect and remove outliers from the training dataset. ...
To build a classification model via machine learning, training data accurately representing the burn tissue was needed, but assigning raw MSI data to appropriate tissue classes is prone to error. ...
Animal model performance and support was received from Sinclare Research Center LLC. The authors would like to thank Leah Gaither for her editorial assistance. ...
doi:10.1117/1.jbo.20.12.121305
pmid:26305321
fatcat:2u57sugqx5fd7ddzh7e5j3mmla
Cloudy with a Chance of Taxation
2019
Florida Tax Review
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The outcome of these challenges is unfair competition, a burden on international trade, and a huge gap in VAT revenues. ...
Wayfair and the growing number of US. businesses transacting overseas in jurisdictions that impose value-added taxes (VATs). ...
card companies to limit fraud could and should be used to facilitate locating the customer's location for VAT purposes. ...
doi:10.5744/ftr.2019.1003
fatcat:67buz4pmnjhvrazz62ctvncisy
BotCap: Machine Learning Approach for Botnet Detection Based on Statistical Features
2022
International Journal of Communication Networks and Information Security
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In this paper, we describe a detailed approach to develop a botnet detection system using machine learning (ML)techniques. ...
This research aims to overcome two serious limitations of current botnet detection systems:First, the need for Deep Packet Inspection-DPI and the need to collect traffic from several infected hosts. ...
The most important task is to extend the approach to be able to detect new generations of botnet. In particular, P2P botnets and new bots that use new communication channels such as social media. ...
doi:10.17762/ijcnis.v10i3.3624
fatcat:k5pwqkhcq5dvxnbd42hpc6uyf4
The Innovation Mechanisms of Fintech Start-Ups: Insights from Swift's Innotribe Competition
2017
Social Science Research Network
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We used cluster analysis to group 402 fintech start-up firms, and then selected representative cases to create a foundational understanding of the structure of the fintech landscape. ...
The emergence of nascent forms of financial technology around the globe is driven by efforts to deconstruct and reimagine business models historically embedded within financial services. ...
This process allows the customer to use a credit card with the cash flows of a debit card and so to enjoy the advantages of credit cards, including rewards and cash back, and the ability to build better ...
doi:10.2139/ssrn.3189963
fatcat:pqmrlhviljbmdgpf6gmtgugooa
The Innovation Mechanisms of Fintech Start-Ups: Insights from SWIFT's Innotribe Competition
2018
Journal of Management Information Systems
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We used cluster analysis to group 402 fintech start-up firms, and then selected representative cases to create a foundational understanding of the structure of the fintech landscape. ...
The emergence of nascent forms of financial technology around the globe is driven by efforts to deconstruct and reimagine business models historically embedded within financial services. ...
This process allows the customer to use a credit card with the cash flows of a debit card and so to enjoy the advantages of credit cards, including rewards and cash back, and the ability to build better ...
doi:10.1080/07421222.2018.1440768
fatcat:bh3hrpu745gxdg3awgzovqhbwe
A COMPARATIVE STUDY OF DECISION TREE ALGORITHMS FOR CLASS IMBALANCED LEARNING IN CREDIT CARD FRAUD DETECTION
2015
International Journal of Economics, Commerce and Management United Kingdom
unpublished
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card data by random under sampling (RUS) along with feature selection and conclude about a useful model that can measure the credit card fraud risk more efficiently. ...
Credit card fraud detection along with its inherent property of class imbalance is one of the major challenges faced by the financial institutions. ...
Chan & Stolfo (1997) suggested a credit card fraud detection system using Meta learning techniques to learn models of fraudulent credit card transactions. ...
fatcat:gvviytxmu5ce7gkzcpduomdage
2019
2022
Zenodo
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Utilization of solar energy for different useful forms of energy. CO4. Understanding Phase rule and instrumental techniques and its applications. ...
Gradient Decent, building a Machine Learning Algorithm, Challenges Motivating Deep Learning. ...
Write a program for error detecting code using CRC-CCITT (16-bits). 2. ...
doi:10.5281/zenodo.7370735
fatcat:q22x5ccyjnd23irl3shakpvwhy
Philosophy of Education
1977
Social Theory and Practice
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To accomplish this, our students must develop and utilize: ▪ intellectual curiosity and eagerness for lifelong learning ▪ a positive self-image based on a realistic acceptance of self ▪ the knowledge, ...
variety of processes that can be used in decision-making situations ▪ interpersonal and group dynamic skills ▪ ethical and moral behavior based on respect and appreciation for human values, beliefs and ...
-Use derivatives to model and solve a variety of optimization problems -Use derivatives to model and solve a variety of related rates problems -Efficiently use the Graphing Calculator in the analysis of ...
doi:10.5840/soctheorpract1977437
fatcat:ly7e6vjrirckrdmrqgowitmesa
Quantum Computing for Finance: State-of-the-Art and Future Prospects
2020
IEEE Transactions on Quantum Engineering
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We conclude with a summary of technical challenges and future prospects. INDEX TERMS Financial management, machine learning algorithms, optimization, quantum computing, simulation. ...
In the main part, we describe in detail quantum algorithms for specific applications arising in financial services, such as those involving simulation, optimization, and machine learning problems. ...
Financial institutions can also detect frauds by finding patterns that deviates greatly from normal behavior by classification and/or anomaly detection [96] , [97] . ...
doi:10.1109/tqe.2020.3030314
fatcat:3um5sjre3vfetgyh5oh3skgrwu
INTERPRETABLE AI: TECHNIQUES FOR MAKING MACHINE LEARNING MODELS TRANSPARENT
[article]
2024
Zenodo
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INTERPRETABLE AI: TECHNIQUES FOR MAKING MACHINE LEARNING MODELS TRANSPARENT ...
history are all in a linear relationship with your ability to pay your credit card payment. ...
deep learning-based models. ...
doi:10.5281/zenodo.10577573
fatcat:kzlloa7uzrbajk3jnktaxonyzu
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