Robust Learning of Deep Predictive Models from Noisy and Imbalanced Software Engineering Datasets.
Zhong LiMinxue PanYu PeiTian ZhangLinzhang WangXuandong LiPublished in: ASE (2022)
Keyphrases
- software engineering
- learning algorithm
- learning models
- data sets
- prior knowledge
- learning tasks
- learning process
- supervised learning
- noisy data
- learning systems
- knowledge acquisition
- learning rules
- active learning
- machine learning
- neural network
- predictive modeling
- accurate models
- deep architectures
- classification models
- learning problems
- online learning
- software development
- reinforcement learning
- artificial intelligence