A survey of evolutionary algorithms for supervised ensemble learning
This paper presents a comprehensive review of evolutionary algorithms that learn an
ensemble of predictive models for supervised machine learning (classification and …
ensemble of predictive models for supervised machine learning (classification and …
Machine Learning‐Based Detection of Spam Emails
Social communication has evolved, with e‐mail still being one of the most common
communication means, used for both formal and informal ways. With many languages being …
communication means, used for both formal and informal ways. With many languages being …
Compressive sensing for sparsely excited speech signals
Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform
domain. We explore a signal dependent unknown linear transform, namely the impulse …
domain. We explore a signal dependent unknown linear transform, namely the impulse …
[PDF][PDF] Botnet spam e-mail detection using deep recurrent neural network
M Alauthman - Int. J, 2020 - academia.edu
The significant amount of SPAM emails that are derived from various botnets worldwide
affect the limited capacity of mailboxes. They affect the security of personal mail and the …
affect the limited capacity of mailboxes. They affect the security of personal mail and the …
A study of machine learning classifiers for spam detection
SK Trivedi - … 4th international symposium on computational and …, 2016 - ieeexplore.ieee.org
In the present world, there is a need of emails communication but unsolicited emails hamper
such communications. The present research emphasises to build a spam classification …
such communications. The present research emphasises to build a spam classification …
Email spam detection: an empirical comparative study of different ml and ensemble classifiers
S Suryawanshi, A Goswami… - 2019 IEEE 9th International …, 2019 - ieeexplore.ieee.org
Recent Development in Hardware and Software Technology for the communication email is
preferred. But due to the unbidden emails, it affects communication. There is a need for …
preferred. But due to the unbidden emails, it affects communication. There is a need for …
[PDF][PDF] A dataset centric feature selection and stacked model to detect breast cancer
AK Chaudhuri, DK Banerjee, A Das - International Journal of …, 2021 - academia.edu
World Health Organisation declared breast cancer (BC) as the most frequent suffering
among women and accounted for 15 percent of all cancer deaths. Its accurate prediction is …
among women and accounted for 15 percent of all cancer deaths. Its accurate prediction is …
Spam email detection using a novel multilayer classification-based decision technique
S Das, S Mandal, R Basak - International Journal of Computers …, 2023 - Taylor & Francis
Because of the rapid advancement of technology over the last several years, the number of
internet users is growing at an exponential rate, and as a result, email communication has …
internet users is growing at an exponential rate, and as a result, email communication has …
A combining classifiers approach for detecting email spams
Email is a rapid and cheap communication medium for sending and receiving information
where spam is becoming a nuisance for such communication. A good spam filtering cannot …
where spam is becoming a nuisance for such communication. A good spam filtering cannot …
A modified content-based evolutionary approach to identify unsolicited emails
This computational research seeks to classify unsolicited versus legitimate emails. A
modified version of an existing genetic programming (GP) classifier—ie, modified genetic …
modified version of an existing genetic programming (GP) classifier—ie, modified genetic …