Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Software Defect Prediction via Convolutional Neural Network
Predicting defect-prone software modules using support vector machines
Automated parameter optimization of classification techniques for defect prediction models
Fast Algorithms for Convolutional Neural Networks
Choosing software metrics for defect prediction: an investigation on feature selection techniques
Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?
Sequence-to-sequence prediction of personal computer software by recurrent neural network
The misuse of the NASA metrics data program data sets for automated software defect prediction
Convolutional Neural Net and Bearing Fault Analysis
Towards identifying software project clusters with regard to defect prediction
Applying machine learning to software fault-proneness prediction
Sampling imbalance dataset for software defect prediction using hybrid neuro-fuzzy systems with Naive Bayes classifier
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions
Understanding Convolutional Neural Networks
On the relative value of cross-company and within-company data for defect prediction
Image Classification using Convolutional Neural Networks
Empowering convolutional networks for malware classification and analysis
Relation classification using revised convolutional neural networks
Automated severity assessment of software defect reports
Convolutional neural networks for malware classification
Revisiting unsupervised learning for defect prediction
Integrating Text with Video and 3D Graphics: The Effects of Text Drawing Styles on Text Readability
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Separation and Analysis of Fetal-ECG Signals From Compressed Sensed Abdominal ECG Recordings
The Improvement for Rete Algorithm
A unified architecture for natural language processing: deep neural networks with multitask learning