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Attention-Based End-To-End Models for Small-Footprint Keyword Spotting
Forecast Combination for Discrete Choice Models: Predicting FOMC Monetary Policy Decisions
A Bayesian Posterior Predictive Framework for Weighting Ensemble Regional Climate Models
Linked Open Corpus Models, Leveraging the Semantic Web for Adaptive Hypermedia
Modelica Language - A Promising Tool for Publishing and Sharing Biomedical Models
An Analytical Cost Estimation Approach for Generic Sheet Metal 3D Models
USMPep: Universal Sequence Models for Major Histocompatibility Complex Binding Affinity Prediction
Nonparametric Maximum Likelihood Methods for Binary Response Models With Random Coefficients
Optimising Numerical Wave Tank Tests for the Parametric Identification of Wave Energy Device Models
a Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality Against Human Judgments
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