Richard J. Oentaryo
Richard J. Oentaryo
Principal Jr Data Scientist, QuantumBlack, McKinsey & Company
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
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
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
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
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
Online probabilistic learning for fuzzy inference systems
RJ Oentaryo, MJ Er, S Linn, X Li
Expert Systems with Applications 41 (11), 5082-5096, 2014
Self-trained automated parking system
RJ Oentaryo, M Pasquier
IEEE International Conference on Control, Automation, Robotics and Vision …, 2004
Network-clustered multi-modal bug localization
T Hoang, RJ Oentaryo, TDB Le, D Lo
IEEE Transactions on Software Engineering 45 (10), 1002-1023, 2018
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
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
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
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
Chalk and cheese in twitter: Discriminating personal and organization accounts
RJ Oentaryo, JW Low, EP Lim
European Conference on Information Retrieval, 465-476, 2015
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
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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