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06/01/2023
A Gaussian Sliding Windows Regression Model for Hydrological Inference
Statistical models are an essential tool to model, forecast and understa...
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03/11/2023
Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
Scientists and statisticians often want to learn about the complex relat...
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04/07/2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Knowledge distillation (KD) has been actively studied for image classifi...
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03/20/2021
Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks
Subsampling unconditional generative adversarial networks (GANs) to impr...
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11/15/2020
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
This work proposes the continuous conditional generative adversarial net...
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10/28/2020
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples
Modern methods often formulate the counting of cells from microscopic im...
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08/14/2019
Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile
A computer code can simulate a system's propagation of variation from ra...
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07/02/2019
Adaptive Partitioning Design and Analysis for Emulation of a Complex Computer Code
Computer models are used as replacements for physical experiments in a l...
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02/10/2018
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter
We propose an algorithm for a family of optimization problems where the ...
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07/03/2017
Regression Phalanxes
Tomal et al. (2015) introduced the notion of "phalanxes" in the context ...
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06/21/2017
Ensembles of Models and Metrics for Robust Ranking of Homologous Proteins
An ensemble of models (EM), where each model is constructed on a diverse...
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03/20/2013
