Machine learning in volcanology: a review
A volcano is a complex system, and the characterization of its state at any given time is not
an easy task. Monitoring data can be used to estimate the probability of an unrest and/or an …
an easy task. Monitoring data can be used to estimate the probability of an unrest and/or an …
Oppositional Cat Swarm Optimization‐Based Feature Selection Approach for Credit Card Fraud Detection
N Prabhakaran, R Nedunchelian - Computational Intelligence …, 2023 - Wiley Online Library
Credit card fraud has drastically increased in recent times due to the advancements in e‐
commerce systems and communication technology. Falsified credit card transactions affect …
commerce systems and communication technology. Falsified credit card transactions affect …
Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification
Sepsis is a severe and potentially life-threatening condition that occurs when the body's
immune response becomes excessively intense in reaction to an infection. If not promptly …
immune response becomes excessively intense in reaction to an infection. If not promptly …
A soft voting ensemble learning approach for credit card fraud detection
MA Mim, N Majadi, P Mazumder - Heliyon, 2024 - cell.com
With the advancement of e-commerce and modern technological development, credit cards
are widely used for both online and offline purchases, which has increased the number of …
are widely used for both online and offline purchases, which has increased the number of …
Unsupervised outlier detection for mixed-valued dataset based on the adaptive k-nearest neighbor global network
Y Wang, X Cao, Y Li - IEEE Access, 2022 - ieeexplore.ieee.org
Outlier detection aims to reveal data patterns different from existing data. Benefit from its
good robustness and interpretability, the outlier detection method for numerical dataset …
good robustness and interpretability, the outlier detection method for numerical dataset …
Integrating machine learning with software development lifecycles: Insights from experts
This paper examines the challenges related to integrating machine learning (ML)
development with software development lifecycle (SDLC) models. Data-intensive …
development with software development lifecycle (SDLC) models. Data-intensive …
Credit Card Fraud Detection Based on Hyperparameters Optimization Using the Differential Evolution
M Tayebi, S El Kafhali - … Journal of Information Security and Privacy …, 2022 - igi-global.com
Due to the emigration of world business to the internet, credit cards have become a tool for
payments for both online and outline purchases. However, fraudsters try to attack those …
payments for both online and outline purchases. However, fraudsters try to attack those …
Application of machine learning techniques for credit risk management: a survey
Artificial Intelligence (AI) techniques will significantly impact the financial services industry,
with various implications, ranging from the redefinition of processes, products, and services …
with various implications, ranging from the redefinition of processes, products, and services …
[HTML][HTML] An optimized outlier detection function for multibeam echo-sounder data
T Ziolkowski, A Koschmider, CW Devey - Computers & Geosciences, 2024 - Elsevier
Multibeam sonar data are a valuable tool for seafloor mapping and geological studies.
However, the presence of outliers in multibeam data can distort the results of analyses and …
However, the presence of outliers in multibeam data can distort the results of analyses and …
Graph convolutional networks and attention-based outlier detection
R Qiu, X Du, J Yu, J Wu, S Li - IEEE Access, 2022 - ieeexplore.ieee.org
Outlier detection is a significant research direction in machine learning and has many
applications in finance, network security, and other areas. Outlier detection of Euclidean …
applications in finance, network security, and other areas. Outlier detection of Euclidean …