Deep learning-based spam image filtering
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[1] Yeong-Seok Seo,et al. Hybrid Features by Combining Visual and Text Information to Improve Spam Filtering Performance , 2022, Electronics.
[2] Sagar Kaulagi,et al. Email Spam Filtering using Machine Learning , 2022, International Journal of Advanced Research in Science, Communication and Technology.
[3] A. R. Javed,et al. A comprehensive survey of AI-enabled phishing attacks detection techniques , 2020, Telecommun. Syst..
[4] Aaisha Makkar,et al. PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention , 2021, Future Gener. Comput. Syst..
[5] Hajah T. Sueno. Multi-class Document Classification using Support Vector Machine (SVM) Based on Improved Naïve Bayes Vectorization Technique , 2020 .
[6] A. Chattopadhyay,et al. Data‐Driven Super‐Parameterization Using Deep Learning: Experimentation With Multiscale Lorenz 96 Systems and Transfer Learning , 2020, Journal of Advances in Modeling Earth Systems.
[7] Mark Stamp,et al. Convolutional neural networks for image spam detection , 2020, Inf. Secur. J. A Glob. Perspect..
[8] Quoc V. Le,et al. Unsupervised Data Augmentation for Consistency Training , 2019, NeurIPS.
[9] Ausif Mahmood,et al. Review of Deep Learning Algorithms and Architectures , 2019, IEEE Access.
[10] Manisha Sharma,et al. Spam detection in social media using convolutional and long short term memory neural network , 2019, Annals of Mathematics and Artificial Intelligence.
[11] سهاد احمد علي القره غولي. Analysis Study of Spam Image-based Emails Filtering Techniques , 2018 .
[12] Lina A. Abuwardih. Towards Evaluating Web Spam Threats and Countermeasures , 2018 .
[13] Aiwan Fan,et al. Image spam filtering using convolutional neural networks , 2018, Pers. Ubiquitous Comput..
[14] Guangyu Sun,et al. Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer , 2017, ICANN.
[15] Jerzy Stefanowski,et al. Prequential AUC: properties of the area under the ROC curve for data streams with concept drift , 2017, Knowledge and Information Systems.
[16] R. Balamurugan,et al. Visual and textual features based email spam classification using S-Cuckoo search and hybrid kernel support vector machine , 2017, Cluster Computing.
[17] Mark Stamp,et al. Image spam analysis and detection , 2018, Journal of Computer Virology and Hacking Techniques.
[18] Robert H. Deng,et al. On robust image spam filtering via comprehensive visual modeling , 2015, Pattern Recognit..
[19] M. N. Sulaiman,et al. A Review On Evaluation Metrics For Data Classification Evaluations , 2015 .
[20] V. Khanaa,et al. An Integrated Agent System for E-mail Coordination using Jade , 2013 .
[21] S. Maria Wenisch,et al. A Content Based Classification of Spam Mails with Fuzzy Word Ranking , 2013 .
[22] Jiawei Han,et al. Survey on web spam detection: principles and algorithms , 2012, SKDD.
[23] Fabio Roli,et al. A survey and experimental evaluation of image spam filtering techniques , 2011, Pattern Recognit. Lett..
[24] Yiming Yang,et al. Personalized Email Prioritization Based on Content and Social Network Analysis , 2010, IEEE Intelligent Systems.
[25] Carlo Sansone,et al. Visual and OCR-Based Features for Detecting Image Spam , 2008, PRIS.
[26] Lina J. Karam,et al. Morphological text extraction from images , 2000, IEEE Trans. Image Process..