Cognitive architectures: Where do we go from here? W Duch, RJ Oentaryo, M Pasquier Agi 171 (1), 122-136, 2008 | 266 | 2008 |
POP-TRAFFIC: A novel fuzzy neural approach to road traffic analysis and prediction C Quek, M Pasquier, BBS Lim IEEE transactions on intelligent transportation systems 7 (2), 133-146, 2006 | 232 | 2006 |
POPFNN-CRI (S): Pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier KK Ang, C Quek, M Pasquier IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003 | 134 | 2003 |
Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles M Pasquier, C Quek, M Toh Neural networks 14 (8), 1099-1112, 2001 | 90 | 2001 |
Key issues in conducting sentiment analysis on Arabic social media text S Ahmed, M Pasquier, G Qadah 2013 9th International conference on innovations in information technology …, 2013 | 77 | 2013 |
Financial market trading system with a hierarchical coevolutionary fuzzy predictive model H Huang, M Pasquier, C Quek IEEE transactions on Evolutionary Computation 13 (1), 56-70, 2009 | 67 | 2009 |
A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour C Quek, M Pasquier, B Lim Expert Systems with applications 36 (10), 12167-12178, 2009 | 56 | 2009 |
A novel recurrent neural network-based prediction system for option trading and hedging C Quek, M Pasquier, N Kumar Applied Intelligence 29, 138-151, 2008 | 43 | 2008 |
A machine learning approach to predicting diabetes complications Y Jian, M Pasquier, A Sagahyroon, F Aloul Healthcare 9 (12), 1712, 2021 | 41 | 2021 |
Self-trained automated parking system RJ Oentaryo, M Pasquier ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004. 2 …, 2004 | 37 | 2004 |
Biometric identification using the dynamic features of the eyes A Darwish, M Pasquier 2013 IEEE sixth international conference on biometrics: theory, applications …, 2013 | 36 | 2013 |
GenSoFNN-Yager: A novel brain-inspired generic self-organizing neuro-fuzzy system realizing Yager inference RJ Oentaryo, M Pasquier, C Quek Expert Systems with Applications 35 (4), 1825-1840, 2008 | 25 | 2008 |
Energy efficiency evaluation of a Plug-in Hybrid Vehicle under European procedure, Worldwide harmonized procedure and actual use F Badin, FL Berr, G Castel, JC Dabadie, H Briki, P Dégeilh, M Pasquier World Electric Vehicle Journal 7 (3), 475-488, 2015 | 24 | 2015 |
Learning to drive the human way: A step towards intelligent vehicles M Pasquier, RJ Oentaryo International journal of vehicle autonomous systems 6 (1-2), 24-47, 2008 | 22 | 2008 |
Predicting hypoglycemia in diabetic patients using data mining techniques KS Eljil, G Qadah, M Pasquier 2013 9th International Conference on Innovations in Information Technology …, 2013 | 20 | 2013 |
An intelligent driving system for automatically anticipating and negotiating road curves M Chan, D Partouche, M Pasquier 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007 | 19 | 2007 |
Supervising passenger land-transport systems KT Seow, M Pasquier IEEE Transactions on Intelligent Transportation Systems 5 (3), 165-176, 2004 | 19 | 2004 |
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction RJ Oentaryo, M Pasquier, C Quek Expert Systems with Applications 38 (10), 12066-12084, 2011 | 18 | 2011 |
A foreign exchange portfolio management mechanism based on fuzzy neural networks S Yao, M Pasquier, C Quek 2007 IEEE Congress on Evolutionary Computation, 2576-2583, 2007 | 18 | 2007 |
Predicting hypoglycemia in diabetic patients using time-sensitive artificial neural networks KS Eljil, G Qadah, M Pasquier International Journal of Healthcare Information Systems and Informatics …, 2016 | 15 | 2016 |