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

Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector MachineYANG YANG; LU, Bao-Liang.Lecture notes in computer science. 2006, pp 669-675, issn 0302-9743, isbn 3-540-34439-X, 7 p.Conference Paper

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

A Modular Reduction Method for k-NN Algorithm with Self-recombination LearningHAI ZHAO; LU, Bao-Liang.Lecture notes in computer science. 2006, pp 537-544, issn 0302-9743, isbn 3-540-34439-X, 8 p.Conference Paper

Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal ClusteringJUN LUO; LU, Bao-Liang.Lecture notes in computer science. 2006, pp 210-215, issn 0302-9743, isbn 3-540-34439-X, 6 p.Conference Paper

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

Multi-view face recognition with min-max modular SVMsFAN, Zhi-Gang; LU, Bao-Liang.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 2, 396-399Conference Paper

A part-versus-part method for massively parallel training of support vector machinesLU, Bao-Liang; WANG, Kai-An; UTIYAMA, Masao et al.International Joint Conference on Neural Networks. 2004, isbn 0-7803-8359-1, 4Vol, Vol1, 735-740Conference 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

Fault diagnosis for industrial images using a Min-Max Modular neural networkBIN HUANG; LU, Bao-Liang.Lecture notes in computer science. 2004, pp 842-847, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper

Emergence of learning: An approach to coping with NP-complete problems in learningLU, Bao-Liang; ICHIKAWA, Michinori.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol4.159-164, isbn 0-7695-0619-4, 6VolConference Paper

Gender recognition using a min-max modular support vector machineLIAN, Hui-Cheng; LU, Bao-Liang; TAKIKAWA, Erina et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 2, 438-441Conference 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