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Robust Classification by Coupling Data Mollification with Label Smoothing

International Conference on Artificial Intelligence and Statistics
Introducing training-time augmentations is a key technique to enhance generalization and prepare deep neural networks against test-time corruptions. Inspired by the success of generative diffusion models, we propose a novel approach of coupling data ...
Markus Heinonen   +3 more
semanticscholar   +1 more source

Supplemental material for An Adaptive and Fully Automated Baseline Correction Method for Raman Spectroscopy Based on Morphological Operations and Mollification

2018
Supplemental Material for An Adaptive and Fully Automated Baseline Correction Method for Raman Spectroscopy Based on Morphological Operations and Mollification by Hao Chen, Weiliang Xu and Neil G.R.
Chen, Hao   +2 more
openaire   +1 more source

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hal, X Allen Li, Daniel A Low
exaly  

A New Method of Predicting US and State-Level Cancer Mortality Counts for the Current Calendar Year

Ca-A Cancer Journal for Clinicians, 2004
Ahmedin Jemal Dvm, Eric J Feuer
exaly  

Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer

Ca-A Cancer Journal for Clinicians, 2016
Baris Turkbey   +2 more
exaly  

Analysis of multi-wavelength lidar data by inversion with mollifier method

open access: closed, 1998
Christine Böckmann   +2 more
openalex   +1 more source

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