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Activity recognition in desktop environments
Anomaly Detection: Theory, Explanation and User Feedback
Applying machine learning for prediction, recommendation, and integration
Automated Assembly Planning : From CAD Model to Virtual Assembly Process
Creating, Understanding and Applying Machine Learning Models of Multiple Species
Improving automated email tagging with implicit feedback
Integrating learning and search for structured prediction
Lamb Wave Mode Decomposition and Its Applications in Structural Health Monitoring
Learning cost-sensitive diagnostic policies from data
Learning ranking functions for efficient search
Localized Variable Selection with Random Forest
Machine learning for computer architecture design and optimization
Machine learning for improving the quality of citizen science data
Machine Learning Methods for Computational Sustainability
Monte-Carlo planning for probabilistic domains
Multi-instance multi-label learning : algorithms and applications to bird bioacoustics
New learning modes for sequential decision making
Parsing with Recurrent Neural Networks
Personalizing machine learning systems with explanatory debugging
Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks
Representationally Robust and Scalable Learning over Relational Databases
Robust and Efficient Classification of Videos in the Wild
Structured gradient boosting
Theoretical and implementation improvements for difference evaluation functions
Weak-supervision : Probabilistic Models and Inference