Phishing Detection using RDF and Random Forests Vamsee Muppavarapu, Archanaa Rajendran, and Shriram Vasudevan

cloned and victims are lured to the fake website to provide their personal as well as confidential information, sometimes it

#Phishing # ensemble learning # RDF models # phishing target # metadata # vocabulary # random forests

A Novel Approach for Face Recognition Using

Abstract: This paper explores a novel approach for automatic human recognition from multi-view frontal facial images taken

#Face recognition # abductive machine learning # neural computing # GMDH-based ensemble learning

Towards Achieving Optimal Performance using Stacked Generalization Algorithm: A Case Study of

Clinical Diagnosis of Malaria Fever

#Data mining # ensemble learning # stacked generalization # malaria # diagnosis

A Concept-based Sentiment Analysis Approach for Arabic

Ahmed Nasser1 and Hayri Sever2 1Control and Systems Engineering Department, University of Technology, Iraq 2Department of Computer Engineering, Çankaya University, Etimesgut

#Arabic Sentiment Analysis # Concept-based Sentiment Analysis # Machine Learning and Ensemble Learning

Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning

Goksu Tuysuzoglu1 and Derya Birant2 1Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Turkey 2Department of Computer Engineering, Dokuz Eylul University, Turkey

#Bagging # boosting # classification algorithms # machine learning # random forest # supervised learning

An Ensemble-based Supervised Machine Learning Framework for Android Ransomware Detection

Shweta Sharma1, Rama Krishna Challa1, and Rakesh Kumar2

#Smartphone security # android # ensemble learning # ransomware # and dimensionality reduction

A New Two-step Ensemble Learning Model for Improving Stress Prediction of Automobile Drivers

May Al-Nashashibi1, Wa’el Hadi2, Nuha El-Khalili3, Ghassan Issa4, and Abed Alkarim AlBanna1 1Computer Science, University of Petra, Jordan

#Ensemble learning # stress prediction # oversampling # data mining algorithms

Stacknet Based Decision Fusion Classifier for Network Intrusion Detection

Isaac Kofi Nti, Owusu Narko-Boateng, Adebayo Felix Adekoya, Arjun Remadevi Somanathan

#Network intrusion detection # stacknet # ensemble learning classifier

An Efficient Intrusion Detection Framework Based

on Embedding Feature Selection and Ensemble, Wang Dan*, Musa Osman, , Saeed Alsamhi,

#Network security # intrusion detection # ensemble learning # xgboost algorithm # features selection

Ensemble based on Accuracy and Diversity Weighting for Evolving Data Streams

Yange Sun1, Han Shao1, and Bencai Zhang2 1School of Computer and Information Technology, Xinyang Normal University, China

#Ensemble learning # concept drift # accuracy # diversity