Junshui Ma

According to our database1, Junshui Ma authored at least 18 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Deep Dive into Machine Learning Models for Protein Engineering.
J. Chem. Inf. Model., 2020

A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships.
J. Chem. Inf. Model., 2016

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships.
J. Chem. Inf. Model., 2015

A biometric-based covert warning system using EEG.
Proceedings of the 5th IAPR International Conference on Biometrics, 2012

Evaluation of recording factors in EEG-based personal identification: A vital step in real implementations.
Proceedings of the IEEE International Conference on Systems, 2010

EEG-based Personal Identification: from Proof-of-Concept to A Practical System.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A dual-biometric-modality identification system based on fingerprint and EEG.
Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010

Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem.
Stat. Anal. Data Min., 2009

Two realizations of a general feature extraction framework.
Pattern Recognit., 2004

SVM training with duplicated samples and its application in SVM-based ensemble methods.
Neurocomputing, 2004

Improved Prediction of Prostate Cancer Recurrence Based on an Automated Tissue Image Analysis System.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Nonlinear multiclass discriminant analysis.
IEEE Signal Process. Lett., 2003

Accurate On-line Support Vector Regression.
Neural Comput., 2003

2D HRR Radar Data Modeling and Processing.
Multidimens. Syst. Signal Process., 2003

Function replacement vs. kernel trick.
Neurocomputing, 2003

Online novelty detection on temporal sequences.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Modified Kernel-based Nonlinear Feature Extraction.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002