2014
A review of unsupervisedfeature learning and deep learning for time-series modeling
Comparing raw data and feature extraction for seizure detection with deep learning methods
Modeling time-series with deep networks
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
2015
Gas Recognition Under Sensor Drift by Using Deep Learning
Gas Recognition Under Sensor Drift by Using Deep Learning
R1SVM: A Randomised Nonlinear Approach to Large-ScaleAnomaly Detection
Real-time network anomaly detection system using machine learning
Modeling Representation of Videos for Anomaly Detection using DeepLearning: A Review
Deep learning with support vector data description 2015
Deep sparse feature selection for computer aided endoscopy diagnosis 2015
Deep learning of support vector machines with class probability output networks
Editorial introduction to the Neural Networks special issue on Deep Learning of Representations
Yoshua Bengio PDF (330 K)
Challenges in representation learning: A report on three machine learning contests 2015
