Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim fraud detection.
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5 juil. 2022 · Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim ...
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16 oct. 2021 · A comparison between four classification techniques, namely a SVM, a neural network (two layers Perceptron NN), a Bayesian NN (BNN) and a Naive ...
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A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics · 1. An example of a FISH image used for dot counting. · 2. Two ...
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10 sept. 2020 · This article is meant to explain both techniques and why they are state-of-the-art. The FixEfficientNet has been presented first with the ...
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Several state-of-the-art techniques – a neural network, Bayesian neural network, support vector machine and naive Bayesian classifier – are experimentally ...
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25 oct. 2002 · Abstract Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile ...
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The study evaluated the features against two databases of paintings using a ... and unsupervised classification techniques including k-nearest neighbor, ...
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Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim fraud detection.
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This paper aims to develop a novel deep learning-enabled music genre classification (DLE-MGC) technique. The proposed DLE-MGC technique effectively ...
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Several state-of-the-art techniques: a neural network, Bayesian neural network, support vector machine and naive Bayesian classifier are experimentally ...
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12 mars 2021 · In the art classification field, the authors of [6] used CaffeNet [7], ... In all experiments, the following data augmentation techniques ...
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27 déc. 2002 · Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim ...
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Several state-of-the-art techniques – a neural net- work, Bayesian neural network, support vector machine and naive Bayesian classifier – are exper-.
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