A Deep Learning Approach for Minimizing False Negatives in Predicting Receipt Emails.
Chanda HirwayEnda FallonPaul ConnollyKieran FlanaganDeepak YadavPublished in: ICCA (2022)
Keyphrases
- deep learning
- false negative
- false positives
- false negative rate
- unsupervised learning
- machine learning
- false positive rate
- mental models
- detection rate
- restricted boltzmann machine
- unsupervised feature learning
- weakly supervised
- text mining
- multiscale
- feature extraction
- deep architectures
- knn
- dimensionality reduction
- text classification
- learning algorithm
- data sets