XAI-PDF: A Robust Framework for Malicious PDF Detection Leveraging SHAP-Based Feature Engineering

Mustafa Al-Fayoumi,Qasem Abu Al-Haija,Rakan Armoush,Christine Amareen

#Machine learning #malicious PDF detection #feature engineering #explainable artificial intelligence #shapley additive explanations

Design and Study of Zombie Enterprise Classification and Recognition Systems Based on Ensemble Learning

Shutong Pang,Ziwei Yang,Chengyou Cai,Zhimin Li

#Integrated learning #corporate portrait #classification and identification #strong supervision model

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

Predicting Student Enrolments and Attrition Patterns in Higher Educational Institutions using

Machine Learning

#Machine learning # predictive model # apriori algorithm # student retention # enrolment behaviour # association rule mining # boosting # ensemble method

A Novel Approach to Maximize G-mean in Nonstationary Data with Recurrent Imbalance

Shifts

#Cost-sensitive algorithms # data stream classification # imbalanced data # online learning # population shift # skewed data stream

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 Learning Technique

Fawaz Mokbal,Wang Dan,Musa Osman,Yang Ping,Saeed Alsamhi

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