Converting general nonlinear programming problems into separable programming problems with feedforward neural networksLU, Bao-Liang; ITO, Koji.Neural networks. 2003, Vol 16, Num 7, pp 1059-1074, issn 0893-6080, 16 p.Article

An adaptive image Euclidean distanceJING LI; LU, Bao-Liang.Pattern recognition. 2009, Vol 42, Num 3, pp 349-357, issn 0031-3203, 9 p.Article

Feature selection based on loss-margin of nearest neighbor classificationYUN LI; LU, Bao-Liang.Pattern recognition. 2009, Vol 42, Num 9, pp 1914-1921, issn 0031-3203, 8 p.Article

Emotional state classification from EEG data using machine learning approachWANG, Xiao-Wei; DAN NIE; LU, Bao-Liang et al.Neurocomputing (Amsterdam). 2014, Vol 129, pp 94-106, issn 0925-2312, 13 p.Conference Paper

Multi-view Gender Classification Using Local Binary Patterns and Support Vector MachinesLIAN, Hui-Cheng; LU, Bao-Liang.Lecture notes in computer science. 2006, pp 202-209, issn 0302-9743, isbn 3-540-34439-X, 8 p.Conference Paper

Fast Learning for Statistical Face DetectionFAN, Zhi-Gang; LU, Bao-Liang.Lecture notes in computer science. 2006, pp 187-196, issn 0302-9743, isbn 3-540-46479-4, 3Vol, 10 p.Conference Paper

An integrated Gaussian mixture model to estimate vigilance level based on EEG recordingsGU, Jing-Nan; LU, Hong-Tao; LU, Bao-Liang et al.Neurocomputing (Amsterdam). 2014, Vol 129, pp 107-113, issn 0925-2312, 7 p.Conference Paper

EEG-based vigilance estimation using extreme learning machinesSHI, Li-Chen; LU, Bao-Liang.Neurocomputing (Amsterdam). 2013, Vol 102, pp 135-143, issn 0925-2312, 9 p.Conference Paper

An algorithm for pruning redundant modules in min-max modular network with GZC functionJING LI; LU, Bao-Liang; ICHIKAWA, Michinori et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 1, 293-302Conference Paper

A modular k-nearest neighbor classification method for massively parallel text categorizationHAI ZHAO; LU, Bao-Liang.Lecture notes in computer science. 2004, pp 867-872, issn 0302-9743, isbn 3-540-24127-2, 6 p.Conference Paper

Parallelized extreme learning machine ensemble based on min-max modular networkWANG, Xiao-Lin; CHEN, Yang-Yang; HAI ZHAO et al.Neurocomputing (Amsterdam). 2014, Vol 128, pp 31-41, issn 0925-2312, 11 p.Conference Paper

Massively parallel classification of EEG signals using min-max modular neural networksLU, Bao-Liang; JONGHAN SHIN; ICHIKAWA, Michinori et al.Lecture notes in computer science. 2001, pp 601-608, issn 0302-9743, isbn 3-540-42486-5Conference Paper

A general procedure for combining binary classifiers and its performance analysisHAI ZHAO; LU, Bao-Liang.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 1, 303-312Conference Paper

Feature selection for fast image classification with support vector machinesFAN, Zhi-Gang; WANG, Kai-An; LU, Bao-Liang et al.Lecture notes in computer science. 2004, pp 1026-1031, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper

On-line error detection of annotated corpus using modular neural networksQING MA; LU, Bao-Liang; MURATA, Masaki et al.Lecture notes in computer science. 2001, pp 1185-1192, issn 0302-9743, isbn 3-540-42486-5Conference Paper