deep learning 与 anomaly detection

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

Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling

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

UNISENSE: A Unified and Sustainable Sensing and Transport Architecture for Large Scale and Heterogeneous Sensor Networks