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UNIVERSITY OF PITTSBURGH
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Semantic feature construction
Modeling team performance for coordination configurations of large multi-agent teams using stochastic neural networks
Fine-grained subjectivity and sentiment analysis: Recognizing the intensity, polarity, and attitudes of private states
On the use of natural language processing for automated conceptual data modeling
Applications of discourse structure for spoken dialogue systems
Machine learning solutions for transportation networks
Using coevolution in complex domains
Roles of visual working memory, global perception and eye-movement in visual complex problem solving
Bayesian modeling of anomalies due to known and unknown causes
Token-based approach for scalable team coordination
User simulation for spoken dialog system development
Improving the automatic recognition of distorted speech
Do micro-level tutorial decisions matter: Applying reinforcement learning to induce pedagogical tutorial tactics
Competitive learning neural network ensemble weighted by predicted performance
Local probability distributions in Bayesian networks: Knowledge elicitation and inference
Locating and reducing translation difficulty
Reflection and learning robustness in a natural language conceptual physics tutoring system
Analytical techniques for the improvement of mass spectrometry protein profiling
Adaptive graph-based algorithms for conditional anomaly detection and semi-supervised learning
Ontology-based open-corpus personalization for e-Learning