research
∙
05/02/2022
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
Background: Most of the existing machine learning models for security ta...
share
research
∙
03/22/2022
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue
Background: Machine learning techniques have been widely used and demons...
research
∙
11/23/2020
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
BACKGROUND: Machine learning-based security detection models have become...
research
∙
06/12/2020
Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer)
Software developed on public platforms are a source of data that can be ...
research
∙
12/09/2019
Sequential Model Optimization for Software Process Control
Many methods have been proposed to estimate how much effort is required ...
research
∙
11/04/2019
Improved Recognition of Security Bugs via Dual Hyperparameter Optimization
Background: Security bugs need to be handled by small groups of engineer...
research
∙
05/16/2019
Better Security Bug Report Classification via Hyperparameter Optimization
When security bugs are detected, they should be (a) discussed privately ...
research
∙
05/14/2019
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
We assert that it is the ethical duty of software engineers to strive to...
research
∙
04/28/2018
Hyperparameter Optimization for Effort Estimation
Software analytics has been widely used in software engineering for many...
research
∙
04/02/2018
