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Prediction of drug-target binding affinity using similarity-based convolutional neural network

Scientific reports, 2021-02, Vol.11 (1), p.4416-9, Article 4416

2021

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Kernel-based geographically and temporally weighted autoregressive model for house price estimation

PloS one, 2018-10, Vol.13 (10), p.e0205063-e0205063

2018

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Predicting Successes and Failures of Clinical Trials With Outer Product–Based Convolutional Neural Network

Frontiers in pharmacology, 2021-06, Vol.12, p.670670-670670

2021

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Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

Scientific reports, 2019-03, Vol.9 (1), p.3644-3644, Article 3644

2019

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Estimating small area mean with mixed and fixed effects support vector median regressions

Neurocomputing (Amsterdam), 2014-12, Vol.145, p.174-181

2014

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Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices

Neurocomputing (Amsterdam), 2014-01, Vol.124, p.81-88

2014

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Varying coefficient modeling via least squares support vector regression

Neurocomputing (Amsterdam), 2015-08, Vol.161, p.254-259

2015

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Kernel-based random effect time-varying coefficient model for longitudinal data

Neurocomputing (Amsterdam), 2017-12, Vol.267, p.500-507

2017

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Forecasting LNG prices with the kernel vector autoregressive model

Geosystem Engineering, 2020, 23(1), , pp.37-42

2020

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Support vector censored quantile regression under random censoring

Computational statistics & data analysis, 2009-02, Vol.53 (4), p.912-919

2009

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Monotone support vector quantile regression

Communications in statistics. Theory and methods, 2017-05, Vol.46 (10), p.5180-5193

2017

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Support vector quantile regression with varying coefficients

Computational statistics, 2016-09, Vol.31 (3), p.1015-1030

2016

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Semivarying coefficient least-squares support vector regression for analyzing high-dimensional gene-environmental data

Journal of applied statistics, 2018-06, Vol.45 (8), p.1370-1381

2018

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Estimating value at risk with semiparametric support vector quantile regression

Computational statistics, 2012-12, Vol.27 (4), p.685-700

2012

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Composite support vector quantile regression estimation

Computational statistics, 2014-12, Vol.29 (6), p.1651-1665

2014

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Robust LS-SVM Regression Using Fuzzy C-Means Clustering

Advances in Natural Computation, 2006, p.157-166

2006

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Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data

Neurocomputing (Amsterdam), 2011-10, Vol.74 (17), p.3412-3419

2011

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Non-crossing quantile regression via doubly penalized kernel machine

Computational statistics, 2009-02, Vol.24 (1), p.83-94

2009

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Transcription factor-binding site identification and gene classification via fusion of the supervised-weighted discrete kernel clustering and support vector machine

Journal of applied statistics, 2014-03, Vol.41 (3), p.573-581

2014

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Kernel Poisson regression machine for stochastic claims reserving

Journal of the Korean Statistical Society, 2011, 40(1), , pp.1-9

2011

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A Simple Quantile Regression via Support Vector Machine

Advances in Natural Computation, 2005, p.512-520

2005

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Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine

Computational statistics & data analysis, 2009-03, Vol.53 (5), p.1736-1742

2009

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Semiparametric least squares support vector machine for accelerated failure time model

Journal of the Korean Statistical Society, 2011, 40(1), , pp.75-83

2011

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Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria

Computational statistics & data analysis, 2009-03, Vol.53 (5), p.1727-1735

2009

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Doubly Regularized Kernel Regression with Heteroscedastic Censored Data

Advances in Natural Computation, 2005, p.521-527

2005

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Prediction of drug-target binding affinity using similarity-based convolutional neural network

Kernel-based geographically and temporally weighted autoregressive model for house price estimation

Predicting Successes and Failures of Clinical Trials With Outer Product–Based Convolutional Neural Network

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

Estimating small area mean with mixed and fixed effects support vector median regressions

Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices

Varying coefficient modeling via least squares support vector regression

Kernel-based random effect time-varying coefficient model for longitudinal data

Forecasting LNG prices with the kernel vector autoregressive model

Support vector censored quantile regression under random censoring

Monotone support vector quantile regression

Support vector quantile regression with varying coefficients

Semivarying coefficient least-squares support vector regression for analyzing high-dimensional gene-environmental data

Estimating value at risk with semiparametric support vector quantile regression

Composite support vector quantile regression estimation

Robust LS-SVM Regression Using Fuzzy C-Means Clustering

Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data

Non-crossing quantile regression via doubly penalized kernel machine

Transcription factor-binding site identification and gene classification via fusion of the supervised-weighted discrete kernel clustering and support vector machine

Kernel Poisson regression machine for stochastic claims reserving

A Simple Quantile Regression via Support Vector Machine

Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine

Semiparametric least squares support vector machine for accelerated failure time model

Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria

Doubly Regularized Kernel Regression with Heteroscedastic Censored Data

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