Richard J. Oentaryo
Richard J. Oentaryo
Strategic Data Science Lead (SVP), DBS Bank | ex-McKinsey | ex-McLaren
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
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
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
Modeling temporal adoptions using dynamic matrix factorization
FCT Chua, RJ Oentaryo, EP Lim
IEEE International Conference on Data Mining, 2013
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
On profiling bots in social media
RJ Oentaryo, A Murdopo, PK Prasetyo, EP Lim
Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …, 2016
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
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
Network-clustered multi-modal bug localization
T Hoang, RJ Oentaryo, TDB Le, D Lo
IEEE Transactions on Software Engineering 45 (10), 1002-1023, 2018
Patchnet: Hierarchical deep learning-based stable patch identification for the linux kernel
T Hoang, J Lawall, Y Tian, RJ Oentaryo, D Lo
IEEE Transactions on Software Engineering 47 (11), 2471-2486, 2019
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
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
Local Gaussian processes for efficient fine-grained traffic speed prediction
TV Le, R Oentaryo, S Liu, HC Lau
IEEE Transactions on Big Data 3 (2), 194-207, 2016
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
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
Chalk and cheese in twitter: Discriminating personal and organization accounts
RJ Oentaryo, JW Low, EP Lim
Advances in Information Retrieval: 37th European Conference on IR Research …, 2015
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
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