Richard J. Oentaryo
Richard J. Oentaryo
Lead Data Scientist, APAC, McLaren Applied
Verified email at - Homepage
Cited by
Cited by
Cognitive architectures: Where do we go from here?
W Duch, RJ Oentaryo, M Pasquier
Frontiers in Artificial Intelligence and Applications 171, 122-136, 2008
Information retrieval and spectrum based bug localization: Better together
TDB Le, RJ Oentaryo, D Lo
Proceedings of the 2015 10th Joint Meeting on Foundations of Software …, 2015
Predicting response in mobile advertising with hierarchical importance-aware factorization machine
RJ Oentaryo, EP Lim, DJW Low, D Lo, M Finegold
ACM Conference on Web Search and Data Mining, 2014
Data driven modeling based on dynamic parsimonious fuzzy neural network
M Pratama, MJ Er, X Li, RJ Oentaryo, E Lughofer, I Arifin
Neurocomputing 110, 18-28, 2013
Modeling temporal adoptions using dynamic matrix factorization
FCT Chua, RJ Oentaryo, EP Lim
IEEE International Conference on Data Mining, 2013
Detecting click fraud in online advertising: A data mining approach
R Oentaryo, EP Lim, M Finegold, D Lo, F Zhu, C Phua, EY Cheu, GE Yap, ...
Journal of Machine Learning Research 15, 99-140, 2014
Collective churn prediction in social network
RJ Oentaryo, EP Lim, D Lo, F Zhu, PK Prasetyo
IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2012
On profiling bots in social media
RJ Oentaryo, A Murdopo, PK Prasetyo, EP Lim
International conference on social informatics, 92-109, 2016
Self-trained automated parking system
RJ Oentaryo, M Pasquier
IEEE International Conference on Control, Automation, Robotics and Vision …, 2004
Online probabilistic learning for fuzzy inference systems
RJ Oentaryo, MJ Er, S Linn, X Li
Expert Systems with Applications 41 (11), 5082-5096, 2014
Where is the goldmine? Finding promising business locations through Facebook data analytics
J Lin, R Oentaryo, EP Lim, C Vu, A Vu, A Kwee
Proceedings of the 27th ACM Conference on Hypertext and Social Media, 93-102, 2016
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
Bayesian ART-based fuzzy inference system: A new approach to prognosis of machining processes
RJ Oentaryo, MJ Er, L San, L Zhai, X Li
IEEE Conference on Prognostics and Health Management (PHM 2011), 1-10, 2011
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
Network-clustered multi-modal bug localization
T Hoang, RJ Oentaryo, TDB Le, D Lo
IEEE Transactions on Software Engineering 45 (10), 1002-1023, 2018
Webapirec: Recommending web apis to software projects via personalized ranking
F Thung, RJ Oentaryo, D Lo, Y Tian
IEEE Transactions on Emerging Topics in Computational Intelligence 1 (3 …, 2017
A survey on artificial intelligence-based modeling techniques for high speed milling processes
AJ Torabi, MJ Er, X Li, BS Lim, L Zhai, RJ Oentaryo, GO Peen, JM Zurada
IEEE Systems Journal, 1-12, 2014
A business zone recommender system based on Facebook and urban planning data
J Lin, RJ Oentaryo, EP Lim, C Vu, A Vu, AT Kwee, PK Prasetyo
European Conference on Information Retrieval, 641-647, 2016
Chalk and cheese in twitter: Discriminating personal and organization accounts
RJ Oentaryo, JW Low, EP Lim
European Conference on Information Retrieval, 465-476, 2015
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
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