Junshui Ma

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 5

Top Topics

Machine Learning

Gradient Boosting

Top Venues

J. Chem. Inf. Model.

Publications

Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. ISBI (2020)
Yuting Xu, Deeptak Verma, Robert P. Sheridan, Andy Liaw, Junshui Ma, Nicholas M. Marshall, John McIntosh, Edward C. Sherer, Vladimir Svetnik, Jennifer M. Johnston
Deep Dive into Machine Learning Models for Protein Engineering. J. Chem. Inf. Model. 60 (6) (2020)
Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. CoRR (2020)
Yuting Xu, Junshui Ma, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. 57 (10) (2017)
Robert P. Sheridan, Wei Min Wang, Andy Liaw, Junshui Ma, Eric M. Gifford
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. 56 (12) (2016)
Junshui Ma, Robert P. Sheridan, Andy Liaw, George E. Dahl, Vladimir Svetnik
Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. 55 (2) (2015)
Fei Su, Huangling Zhou, Zhiyin Feng, Junshui Ma
A biometric-based covert warning system using EEG. ICB (2012)
Fei Su, Liwen Xia, Anni Cai, Junshui Ma
A dual-biometric-modality identification system based on fingerprint and EEG. BTAS (2010)
Fei Su, Liwen Xia, Anni Cai, Yibing Wu, Junshui Ma
EEG-based Personal Identification: from Proof-of-Concept to A Practical System. ICPR (2010)
Fei Su, Liwen Xia, Anni Cai, Junshui Ma
Evaluation of recording factors in EEG-based personal identification: A vital step in real implementations. SMC (2010)
Junshui Ma, Christopher Tong, Andy Liaw, Robert P. Sheridan, John Szumiloski, Vladimir Svetnik
Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem. Stat. Anal. Data Min. 2 (3) (2009)
Mikhail Teverovskiy, Vinay Kumar, Junshui Ma, Angeliki Kotsianti, David Verbel, Ho-Yuen Pang, Yevgen Vengrenyuk, Stephen Fogarasi, Olivier Saidi, Ali Tabesh
Improved Prediction of Prostate Cancer Recurrence Based on an Automated Tissue Image Analysis System. ISBI (2004)
Junshui Ma, James Theiler, Simon Perkins
Two realizations of a general feature extraction framework. Pattern Recognit. 37 (5) (2004)
Junshui Ma, Ashok K. Krishnamurthy, Stanley C. Ahalt
SVM training with duplicated samples and its application in SVM-based ensemble methods. Neurocomputing 61 (2004)
Junshui Ma, Simon Perkins
Online novelty detection on temporal sequences. KDD (2003)
Junshui Ma
Function replacement vs. kernel trick. Neurocomputing 50 (2003)
Junshui Ma, José-Luis Sancho-Gómez, Stanley C. Ahalt
Nonlinear multiclass discriminant analysis. IEEE Signal Process. Lett. 10 (7) (2003)
Junshui Ma, Xun Du, Stanley C. Ahalt
2D HRR Radar Data Modeling and Processing. Multidimens. Syst. Signal Process. 14 (1-3) (2003)
Junshui Ma, James Theiler, Simon Perkins
Accurate On-line Support Vector Regression. Neural Comput. 15 (11) (2003)
Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt
Modified Kernel-based Nonlinear Feature Extraction. ICMLA (2002)