Design and implementation of super-heterodyne nano-metrology circuits

Olyaee, Saeed; Dashtban, Zahra; Dashtban, M.

doi:10.1007/s12200-013-0337-7

Cited by 9 publications

(2 citation statements)

References 19 publications

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“…Therefore, the Fisher score algorithm, which is computationally cost effective, is applied to reduce the number of input features. The performance of Fisher score and its robustness to data containing noisy features for different applications have been widely discussed in the literature [10,41,42]. Note that, the Fisher score algorithm can be replaced with other algorithms.…”

Section: Datasets and Parameter Settingsmentioning

confidence: 99%

TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data

Salesi

Cosma

Mavrovouniotis

2021

Information Sciences

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Feature selection is the process of selecting an optimal subset of features required for maintaining or improving the performance of data mining models. Recently, hybrid filter/wrapper feature selection methods have shown promising results for high-dimensional data. However, filter/wrapper methods lack of generalisation power, which enables the selected features to be trainable over different classifiers without having to repeat the feature selection process. To address the generalisation power problem, this paper proposes a novel evolutionary-based filter feature selection algorithm that is sequentially hybridised with the Fisher score filter algorithm in a new hybrid framework called filter/filter. The proposed algorithm is based on a long-term memory Tabu Search combined with an Asexual (i.e. mutation-based) Genetic Algorithm (TAGA). TAGA benefits from a new integerencoded solution representation, a novel mutation operator, a new tabu list encoding scheme, and uses a minimum redundancy maximum relevance information theory-based criterion as the fitness function. Experiments were carried out on various high-dimensional datasets including image, text, and biological data. The goodness of the selected subsets was evaluated using different classifiers and the experimental results demonstrate that TAGA outperforms other conventional and stateof-the-art feature selection algorithms.

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Section: Datasets and Parameter Settingsmentioning

confidence: 99%

TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data

Salesi

Cosma

Mavrovouniotis

2021

Information Sciences

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“…Data mining approaches have several applications and inspirations in various domains fields such as in text mining, image processing, bioinformatics, search engines and on [7]- [13]. One important application of data mining is for fraud detection which especially in the two recent decades many researchers have investigated the deployment of data mining algorithms and techniques and combining or integrating them for intrusion detection systems (e.g.…”

Section: Previous Researchsmentioning

confidence: 99%

An Improved Intrusion Detection System based on Combined Cluster Centers and Nearest Neighbors

Shapoorifard¹,

Shamsinejad²

2017

IJCA

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In order to make computer systems completely secure, in addition to firewalls and other intrusion protection devices, other systems called intrusion detection systems (IDS) are needed to detect intrusion and provide solutions to counter the intruder if he penetrated through firewall, antivirus and other security devices. Many IDS have been developed based on machine learning techniques. Specifically, advanced detection approaches created by combining or integrating multiple learning techniques have shown better detection performance than general single learning techniques. This paper proposes an improvement for a feature representation approach, namely the cluster center and nearest neighbor (CANN) approach.

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Molecular cancer classification method on microarrays gene expression data using hybrid deep neural network and grey wolf algorithm

Hajieskandar

Mohammadzadeh

Khalilian

et al. 2020

J Ambient Intell Human Comput

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Design and implementation of super-heterodyne nano-metrology circuits

Cited by 9 publications

References 19 publications

TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data

TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data

An Improved Intrusion Detection System based on Combined Cluster Centers and Nearest Neighbors

Molecular cancer classification method on microarrays gene expression data using hybrid deep neural network and grey wolf algorithm

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