Junshui Ma

23 papers A* 2B 3C 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
ClinicalRAG: Automating Pharmaceutical Label Quality Control with Hierarchical RAG and Large Language Models.
AAAI
Qiaohui Zhou, Zhongliang Zhou, Michael Johnson, Michelle Ngo, Federico Ferrari, Junshui Ma
2025 — conf
PharmaData-Agent: A Specialized Agent for Pharmaceutical Data Analysis.
ICDM (Workshops)
Zihan Guan, Hanyin Wang, Zhongliang Zhou, Qiaohui Zhou, Peining Tao, Junshui Ma
2020 — conf
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials.
ISBI
Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
2020 J jnl
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials.
CoRR
Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher
2020 J jnl
Deep Dive into Machine Learning Models for Protein Engineering.
J. Chem. Inf. Model.
Yuting Xu, Deeptak Verma, Robert P. Sheridan, Andy Liaw, Junshui Ma, Nicholas M. Marshall, John McIntosh, Edward C. Sherer, Vladimir Svetnik, Jennifer M. Johnston
2017 J jnl
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships.
J. Chem. Inf. Model.
Yuting Xu, Junshui Ma, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik
2016 J jnl
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships.
J. Chem. Inf. Model.
Robert P. Sheridan, Wei Min Wang, Andy Liaw, Junshui Ma, Eric M. Gifford
2015 J jnl
Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships.
J. Chem. Inf. Model.
Junshui Ma, Robert P. Sheridan, Andy Liaw, George E. Dahl, Vladimir Svetnik
2012 — conf
A biometric-based covert warning system using EEG.
ICB
Fei Su, Huangling Zhou, Zhiyin Feng, Junshui Ma
2010 — conf
A dual-biometric-modality identification system based on fingerprint and EEG.
BTAS
Fei Su, Liwen Xia, Anni Cai, Junshui Ma
2010 B conf
EEG-based Personal Identification: from Proof-of-Concept to A Practical System.
ICPR
Fei Su, Liwen Xia, Anni Cai, Yibing Wu, Junshui Ma
2010 B conf
Evaluation of recording factors in EEG-based personal identification: A vital step in real implementations.
SMC
Fei Su, Liwen Xia, Anni Cai, Junshui Ma
2009 J jnl
Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem.
Stat. Anal. Data Min.
Junshui Ma, Christopher Tong, Andy Liaw, Robert P. Sheridan, John Szumiloski, Vladimir Svetnik
2004 — conf
Improved Prediction of Prostate Cancer Recurrence Based on an Automated Tissue Image Analysis System.
ISBI
Mikhail Teverovskiy, Vinay Kumar, Junshui Ma, Angeliki Kotsianti, David Verbel, Ho-Yuen Pang, Yevgen Vengrenyuk, Stephen Fogarasi, Olivier Saidi, Ali Tabesh
2004 J jnl
SVM training with duplicated samples and its application in SVM-based ensemble methods.
Neurocomputing
Junshui Ma, Ashok K. Krishnamurthy, Stanley C. Ahalt
2004 J jnl
Two realizations of a general feature extraction framework.
Pattern Recognit.
Junshui Ma, James Theiler, Simon Perkins
2003 J jnl
2D HRR Radar Data Modeling and Processing.
Multidimens. Syst. Signal Process.
Junshui Ma, Xun Du, Stanley C. Ahalt
2003 J jnl
Accurate On-line Support Vector Regression.
Neural Comput.
Junshui Ma, James Theiler, Simon Perkins
2003 J jnl
Function replacement vs. kernel trick.
Neurocomputing
Junshui Ma
2003 J jnl
Nonlinear multiclass discriminant analysis.
IEEE Signal Process. Lett.
Junshui Ma, José-Luis Sancho-Gómez, Stanley C. Ahalt
2003 A* conf
Online novelty detection on temporal sequences.
KDD
Junshui Ma, Simon Perkins
2003 B conf
Time-series novelty detection using one-class support vector machines.
IJCNN
Junshui Ma, Simon Perkins
2002 C conf
Modified Kernel-based Nonlinear Feature Extraction.
ICMLA
Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt