Book ChapterDOI
Pearson Correlation Coefficient
Jacob Benesty,Jingdong Chen,Yiteng Huang,Israel Cohen +3 more
- pp 1-4
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The article was published on 2009-01-01. It has received 1236 citations till now. The article focuses on the topics: Interclass correlation & Fisher transformation.read more
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Journal ArticleDOI
A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks
TL;DR: A novel model for intrusion detection based on two-layer dimension reduction and two-tier classification module, designed to detect malicious activities such as User to Root (U2R) and Remote to Local (R2L) attacks is presented.
Journal ArticleDOI
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
Davide Chicco,Giuseppe Jurman +1 more
TL;DR: Analysis of a dataset of 299 patients with heart failure collected in 2015 shows that serum creatinine and ejection fraction are sufficient to predict survival of heart failure patients from medical records, and that using these two features alone can lead to more accurate predictions than using the original dataset features in its entirety.
Journal ArticleDOI
Differential evolution for filter feature selection based on information theory and feature ranking
TL;DR: The results show that the proposed criterion outperforms MIFS in both single objective and multi-objective DE frameworks, and indicates that considering feature selection as a multi- objective problem can generally provide better performance in terms of the feature subset size and the classification accuracy.
Journal ArticleDOI
Channel Modeling for Diffusive Molecular Communication—A Tutorial Review
TL;DR: This paper provides a tutorial review on mathematical channel modeling for diffusive MC systems and provides the channel models for time-varying MC systems with moving transmitters and receivers, which are relevant for advanced applications such as smart drug delivery with mobile nanomachines.
Journal ArticleDOI
A survey on heterogeneous transfer learning
Oscar Day,Taghi M. Khoshgoftaar +1 more
TL;DR: This paper contributes a comprehensive survey and analysis of current methods designed for performing heterogeneous transfer learning tasks to provide an updated, centralized outlook into current methodologies.