Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Early Identification of Vulnerable Software Components via Ensemble Learning
Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection
When a Tree Falls: Using Diversity in Ensemble Classifiers to Identify Evasion in Malware Detectors
Toward Smarter Vulnerability Discovery Using Machine Learning
Toward Large-Scale Vulnerability Discovery using Machine Learning
Using Software Structure to Predict Vulnerability Exploitation Potential
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
A large scale exploratory analysis of software vulnerability life cycles
Automatic feature learning for vulnerability prediction
Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems Using Bayesian Classification
Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning
Software Defects Classification Prediction Based On Mining Software Repository
Assessing vulnerability exploitability risk using software properties
An initial study on the use of execution complexity metrics as indicators of software vulnerabilities
Measuring, analyzing and predicting security vulnerabilities in software systems
Software defect prediction using ensemble learning on selected features
Learning to Predict Severity of Software Vulnerability Using Only Vulnerability Description
Scalable and incremental software bug detection
Security Patterns from Intelligent Data: A Map of Software Vulnerability Analysis
Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques: A Survey
Using Class Imbalance Learning for Software Defect Prediction
Advanced Data Mining Techniques
RFID Circuit Design with Optimized CMOS Inductor for Monitoring Biomedical Signals
Potential of a piezoelectric energy harvester from sea waves
RFID technology: Beyond cash-based methods in vending machine
System-Level Design Considerations for Digital Pre-Distortion of Wireless Base Station Transmitters