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SDRS: A new lossless dimensionality reduction for text corpora
(Elsevier Ltd., 2020)
In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ...
Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data
(IOS Press, 2020)
Background: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated.
Objective: The objective of the study was to validate predictive models to separately ...
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets
(PeerJ, 2023)
Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness. In particular, we highlight ...
Novel email spam detection method using sentiment analysis and personality recognition
(Oxford Academic, 2020)
Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to ...