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Kernel methods

Iterative deep neural networks based on proximal gradient descent for image restoration

Ting Lv, Zhenkuan Pan, [ ... ], Xiatao Sun

Decomposition of a set of distributions in extended exponential family form for distinguishing multiple oligo-dimensional marker expression profiles of single-cell populations and visualizing their dynamics

Daigo Okada, Ryo Yamada

Module-Based Association Analysis for Omics Data with Network Structure

Zhi Wang, Arnab Maity, [ ... ], Jung-Ying Tzeng

Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification

Enzeng Dong, Guangxu Zhu, [ ... ], Shengzhi Du

Instance segmentation convolutional neural network based on multi-scale attention mechanism

Wang Gaihua, Lin Jinheng, [ ... ], Zhang Tianlun

TEM image restoration from fast image streams

Håkan Wieslander, Carolina Wählby, Ida-Maria Sintorn

Rare Variants Detection with Kernel Machine Learning Based on Likelihood Ratio Test

Ping Zeng, Yang Zhao, [ ... ], Feng Chen

The Separatrix Algorithm for Synthesis and Analysis of Stochastic Simulations with Applications in Disease Modeling

Daniel J. Klein, Michael Baym, Philip Eckhoff

Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT

Stéphanie Tan, Gilles Soulez, [ ... ], Carl Chartrand-Lefebvre

Impact of the mixed degree of urban functions on the taxi travel demand

Changwei Yuan, Yaxin Duan, [ ... ], Jiannan Zhao

Improving counterfactual reasoning with kernelised dynamic mixing models

Sonali Parbhoo, Omer Gottesman, [ ... ], Finale Doshi-Velez

Enhancing Extraction of Drug-Drug Interaction from Literature Using Neutral Candidates, Negation, and Clause Dependency

Behrouz Bokharaeian, Alberto Diaz, Hamidreza Chitsaz

Prediction and optimization of employee turnover intentions in enterprises based on unbalanced data

Zhaotian Li, Edward Fox

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