Minh Nhut Nguyen

According to our database1, Minh Nhut Nguyen authored at least 28 papers between 2005 and 2015.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2015
Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Detecting click fraud in online advertising: a data mining approach.
J. Mach. Learn. Res., 2014

Activity Recognition Using a Few Label Samples.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Home and Work Place Prediction for Urban Planning Using Mobile Network Data.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

2013
On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning.
Neural Networks, 2013

2012
Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics.
IEEE Trans. Reliab., 2012

Predicting Near-Future Churners and Win-Backs in the Telecommunications Industry
CoRR, 2012

An integrated framework for human activity recognition.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

An integrated framework for human activity classification.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Real-time adaptive classification system for intelligent sensing in manufacturing environment A feasibility study.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Ensemble Based Positive Unlabeled Learning for Time Series Classification.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Positive Unlabeled Leaning for Time Series Classification.
Proceedings of the IJCAI 2011, 2011

2010
Fuzzy CMAC With Incremental Bayesian Ying-Yang Learning and Dynamic Rule Construction.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Efficient Advertisement Discovery for Audio Podcast Content Using Candidate Segmentation.
EURASIP J. Audio Speech Music. Process., 2010

Evolutionary FCMAC-BYY Applied to Stream Data Analysis.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Efficient discovery of unknown ads for audio podcast content.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Semantic Web Service Composition System Supporting Multiple Service Description Languages.
Proceedings of the Intelligent Information and Database Systems, 2010

2009
Online FCMAC-BYY Model with Sliding Window.
Proceedings of the Advances in Neural Networks, 2009

2008
Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
PhD thesis, 2008

An online Bayesian Ying-Yang learning applied to fuzzy CMAC.
Neurocomputing, 2008

A nature inspired Ying-Yang approach for intelligent decision support in bank solvency analysis.
Expert Syst. Appl., 2008

2007
Stock Prediction Using FCMAC-BYY.
Proceedings of the Advances in Neural Networks, 2007

GA based FCMAC-BYY model for bank solvency analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
FCMAC-BYY: Fuzzy CMAC Using Bayesian Ying-Yang Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2006

ESOFCMAC: Evolving Self-Organizing Fuzzy Cerebellar Model Articulation Controller.
Proceedings of the International Joint Conference on Neural Networks, 2006

Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Stock Market Price Prediction using Cyclic Self-Organizing Hierarchical CMAC.
Proceedings of the Ninth International Conference on Control, 2006

2005
Self-Organizing Gaussian Fuzzy CMAC with Truth Value Restriction.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005


  Loading...