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Machine learning based phishing detection from URLs

Expert systems with applications, 2019-03, Vol.117, p.345-357

2019

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A systematic review of software fault prediction studies

Expert systems with applications, 2009-05, Vol.36 (4), p.7346-7354

2009

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Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem

Information sciences, 2009-03, Vol.179 (8), p.1040-1058

2009

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Management of staghorn renal stones

Renal Failure, 2018-11, Vol.40 (1), p.357-362

2018

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Spectro-Temporal Energy Ratio Features for Single-Corpus and Cross-Corpus Experiments in Speech Emotion Recognition

Arabian journal for science and engineering (2011), 2024-03, Vol.49 (3), p.3209-3223

2024

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Comparative proteogenomic analysis of right-sided colon cancer, left-sided colon cancer and rectal cancer reveals distinct mutational profiles

Molecular cancer, 2018-12, Vol.17 (1), p.177-177, Article 177

2018

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Robust Feature Selection With LSTM Recurrent Neural Networks for Artificial Immune Recognition System

IEEE access, 2019, Vol.7, p.24165-24178

2019

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A Probabilistic Multi-Objective Artificial Bee Colony Algorithm for Gene Selection

J.UCS (Annual print and CD-ROM archive ed.), 2019-01 (4), p.418

2019

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Estimation of the proteomic cancer co-expression sub networks by using association estimators

PloS one, 2017-11, Vol.12 (11), p.e0188016-e0188016

2017

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Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection

Applied sciences, 2024-07, Vol.14 (14), p.6081

2024

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Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn

Arabian journal for science and engineering (2011), 2021, Vol.46 (4), p.3613-3629

2021

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New Developer Metrics for Open Source Software Development Challenges: An Empirical Study of Project Recommendation Systems

Applied sciences, 2021-02, Vol.11 (3), p.920

2021

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Special issue: Innovations in Intelligent Systems and Applications

Journal of information and telecommunication (Print), 2022-01, Vol.6 (1), p.1-5

2022

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The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria

Interdisciplinary sciences : computational life sciences, 2021-09, Vol.13 (3), p.500-510

2021

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Active Subnetwork GA: A Two Stage Genetic Algorithm Approach to Active Subnetwork Search

Current bioinformatics, 2017-08, Vol.12 (4)

2017

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Web Page Classification Using RNN

Procedia computer science, 2019, Vol.154, p.62-72

2019

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Transferemble: a classification method for the detection of fake satellite images created with deep convolutional generative adversarial network

Journal of electronic imaging, 2023-07, Vol.32 (4)

2023

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Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm

Expert systems with applications, 2011-03, Vol.38 (3), p.2347-2353

2011

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Renal Behçet's Disease: An Update

Seminars in arthritis and rheumatism, 2008-12, Vol.38 (3), p.241-248

2008

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Twitter Verileri İle Duygu Analizi

Mühendislik bilimleri dergisi, 2016-05, Vol.22 (2), p.106-110

2016

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A corpus-based semantic kernel for text classification by using meaning values of terms

Engineering applications of artificial intelligence, 2015-08, Vol.43, p.54-66

2015

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A novel semantic smoothing kernel for text classification with class-based weighting

Knowledge-based systems, 2015-11, Vol.89, p.265-277

2015

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Visualization and analysis of classifiers performance in multi-class medical data

Expert systems with applications, 2008, Vol.34 (1), p.628-634

2008

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Identifying predictive genes for sequence classification using Artificial Immune Recognition system

The online journal of science and technology, 2018-10, Vol.8 (4), p.58-66

2018

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Duygu analizi için n-aşamalı Gizli Dirichlet Ayırımı ile diğer konu modelleme yöntemlerinin karşılaştırılması

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi dergisi, 2020-07, Vol.35 (4), p.2135-2146

2020

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Machine learning based phishing detection from URLs

A systematic review of software fault prediction studies

Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem

Management of staghorn renal stones

Spectro-Temporal Energy Ratio Features for Single-Corpus and Cross-Corpus Experiments in Speech Emotion Recognition

Comparative proteogenomic analysis of right-sided colon cancer, left-sided colon cancer and rectal cancer reveals distinct mutational profiles

Robust Feature Selection With LSTM Recurrent Neural Networks for Artificial Immune Recognition System

A Probabilistic Multi-Objective Artificial Bee Colony Algorithm for Gene Selection

Estimation of the proteomic cancer co-expression sub networks by using association estimators

Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection

Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn

New Developer Metrics for Open Source Software Development Challenges: An Empirical Study of Project Recommendation Systems

Special issue: Innovations in Intelligent Systems and Applications

The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria

Active Subnetwork GA: A Two Stage Genetic Algorithm Approach to Active Subnetwork Search

Web Page Classification Using RNN

Transferemble: a classification method for the detection of fake satellite images created with deep convolutional generative adversarial network

Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm

Renal Behçet's Disease: An Update

Twitter Verileri İle Duygu Analizi

A corpus-based semantic kernel for text classification by using meaning values of terms

A novel semantic smoothing kernel for text classification with class-based weighting

Visualization and analysis of classifiers performance in multi-class medical data

Identifying predictive genes for sequence classification using Artificial Immune Recognition system

Duygu analizi için n-aşamalı Gizli Dirichlet Ayırımı ile diğer konu modelleme yöntemlerinin karşılaştırılması

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