Contextual modeling of audio signals toward information retrieval
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Computational models for multidimensional annotations of affect
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Risk assessment, intrinsic interpolation and computationally efficient models for systems under uncertainty
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Bayesian hierarchical and joint modeling of the reversal learning task
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Modeling the learner's attention and learning goals using Bayesian network
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Analytical and experimental studies in modeling and monitoring of uncertain nonlinear systems using data-driven reduced‐order models
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Modeling intermittently connected vehicular networks
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Computational modeling and utilization of attention, surprise and attention gating
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Interactive rapid part-based 3d modeling from a single image and its applications
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Modeling and predicting with spatial‐temporal social networks
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Integration of multi-physics data into dynamic reservoir model with  ensemble Kalman filter
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Graph-based models and transforms for signal/data processing with applications to video coding
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Novel multi-stage and CTLS-based model updating methods and real-time neural network-based semiactive model predictive control algorithms
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Regularized structural equation modeling
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Inference of computational models of tendon networks via sparse experimentation
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Empirical study of informational regularizations in learning useful and interpretable representations
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Model selection principles and false discovery rate control
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Deep generative models for time series counterfactual inference
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Mobile robot obstacle avoidance using a computational model of the locust brain
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Reinforcement learning with generative model for non-parametric MDPs
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Markov probabilistic function models for texture-based image segmentation
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Rasch modeling of abstract reasoning in Project TALENT
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Energy efficient buildings: a method of probabilistic risk assessment using building energy simulation
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Modeling of neonatal hemodynamics during PDA closure
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Categorical prosody models for spoken language applications
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