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Adversarial machine learning

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Adversarial machine learning

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Recurrent Convolutional Neural Networks for Scene Labeling

Robust Activity Recognition Combining Anomaly Detection and Classifier Retraining

Robust Activity Recognition Combining Anomaly Detection and Classifier Retraining

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

Discovering health-related knowledge in social media using ensembles of heterogeneous features

Detecting Cognitive States for Enhancing Driving Experience

Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters

Learning to Detect Objects with Minimal Supervision

Competition on Counter Measures to 2-D Facial Spoofing Attacks

Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems

Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters

Competition on Counter Measures to 2-D Facial Spoofing Attacks

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

Recurrent Convolutional Neural Networks for Scene Labeling

Robust Activity Recognition Combining Anomaly Detection and Classifier Retraining

Learning to Detect Objects with Minimal Supervision

Detecting Cognitive States for Enhancing Driving Experience

Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems

Robust Activity Recognition Combining Anomaly Detection and Classifier Retraining

Discovering health-related knowledge in social media using ensembles of heterogeneous features