research
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08/25/2022
Adaptive Learning for Service Monitoring Data
Service monitoring applications continuously produce data to monitor the...
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08/06/2021
Incremental Feature Learning For Infinite Data
This study addresses the actual behavior of the credit-card fraud detect...
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05/20/2021
Optimizing Neural Network Weights using Nature-Inspired Algorithms
This study aims to optimize Deep Feedforward Neural Networks (DFNNs) tra...
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12/21/2020
Cost-sensitive Semi-supervised Classification for Fraud Applications
This research explores Cost-Sensitive Learning (CSL) in the fraud detect...
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06/10/2019
Building High-Quality Auction Fraud Dataset
Given the magnitude of online auction transactions, it is difficult to s...
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08/22/2018
Clustering and Labelling Auction Fraud Data
Although shill bidding is a common auction fraud, it is however very tou...
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06/02/2018
