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ORCIDRichard Jayadi Oentaryo
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2020 – today
- 2021
[j13]Thong Hoang
, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. IEEE Trans. Software Eng. 47(11): 2471-2486 (2021)- 2020
- [c21]Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. UMAP 2020: 308-312 - [i15]Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. CoRR abs/2005.04833 (2020)
2010 – 2019
- 2019
- [j12]Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo:
Network-Clustered Multi-Modal Bug Localization. IEEE Trans. Software Eng. 45(10): 1002-1023 (2019) - [c20]Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: a tool for deep patch classification. ICSE (Companion Volume) 2019: 83-86 - [i14]Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: A Tool for Deep Patch Classification. CoRR abs/1903.02063 (2019) - [i13]Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. CoRR abs/1911.03576 (2019) - 2018
- [j11]Richard Jayadi Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau:
Talent Flow Analytics in Online Professional Network. Data Sci. Eng. 3(3): 199-220 (2018) - [i12]Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo:
Network-Clustered Multi-Modal Bug Localization. CoRR abs/1802.09729 (2018) - [i11]Richard Jayadi Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau:
Talent Flow Analytics in Online Professional Network. CoRR abs/1807.09127 (2018) - [i10]Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
JobComposer: Career Path Optimization via Multicriteria Utility Learning. CoRR abs/1809.01062 (2018) - 2017
- [j10]Truc Viet Le, Richard Jayadi Oentaryo, Siyuan Liu, Hoong Chuin Lau:
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction. IEEE Trans. Big Data 3(2): 194-207 (2017) - [j9]Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian:
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking. IEEE Trans. Emerg. Top. Comput. Intell. 1(3): 145-156 (2017) - [c19]Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
On Analyzing Job Hop Behavior and Talent Flow Networks. ICDM Workshops 2017: 207-214 - [i9]Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian:
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking. CoRR abs/1705.00561 (2017) - [i8]Truc Viet Le, Richard Jayadi Oentaryo, Siyuan Liu, Hoong Chuin Lau:
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction. CoRR abs/1708.08079 (2017) - [i7]Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
On Analyzing Job Hop Behavior and Talent Flow Networks. CoRR abs/1711.05887 (2017) - 2016
- [c18]Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo:
CareerMapper: An automated resume evaluation tool. IEEE BigData 2016: 4005-4007 - [c17]Jovian Lin, Richard Jayadi Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, Agus Trisnajaya Kwee, Philips Kokoh Prasetyo:
A Business Zone Recommender System Based on Facebook and Urban Planning Data. ECIR 2016: 641-647 - [c16]Jovian Lin, Richard Jayadi Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, Agus Trisnajaya Kwee:
Where is the Goldmine?: Finding Promising Business Locations through Facebook Data Analytics. HT 2016: 93-102 - [c15]Richard Jayadi Oentaryo, Arinto Murdopo, Philips Kokoh Prasetyo, Ee-Peng Lim:
On Profiling Bots in Social Media. SocInfo (1) 2016: 92-109 - [i6]Richard Jayadi Oentaryo, Ee-Peng Lim, Freddy Chong Tat Chua, Jia-Wei Low, David Lo:
Collective Semi-Supervised Learning for User Profiling in Social Media. CoRR abs/1606.07707 (2016) - [i5]Richard Jayadi Oentaryo, Arinto Murdopo, Philips Kokoh Prasetyo, Ee-Peng Lim:
On Profiling Bots in Social Media. CoRR abs/1609.00543 (2016) - [i4]Jovian Lin, Richard Jayadi Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, Agus Trisnajaya Kwee:
Where is the Goldmine? Finding Promising Business Locations through Facebook Data Analytics. CoRR abs/1609.02839 (2016) - [i3]Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo:
CareerMapper: An Automated Resume Evaluation Tool. CoRR abs/1611.05339 (2016) - [i2]Jovian Lin, Richard Jayadi Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, Agus Trisnajaya Kwee, Philips Kokoh Prasetyo:
A Business Zone Recommender System Based on Facebook and Urban Planning Data. CoRR abs/1611.06620 (2016) - 2015
- [j8]Amin Jahromi Torabi, Meng Joo Er, Xiang Li, Beng Siong Lim, Lianyin Zhai, Richard Jayadi Oentaryo, Oon Peen Gan, Jacek M. Zurada:
A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes. IEEE Syst. J. 9(3): 1069-1080 (2015) - [c14]Richard Jayadi Oentaryo, Stephanus Daniel Handoko, Hoong Chuin Lau:
Algorithm Selection via Ranking. AAAI 2015: 1826-1832 - [c13]Richard Jayadi Oentaryo, Jia-Wei Low, Ee-Peng Lim:
Chalk and Cheese in Twitter: Discriminating Personal and Organization Accounts. ECIR 2015: 465-476 - [c12]Tien-Duy B. Le, Richard Jayadi Oentaryo, David Lo:
Information retrieval and spectrum based bug localization: better together. ESEC/SIGSOFT FSE 2015: 579-590 - [i1]Freddy Chong Tat Chua, Richard Jayadi Oentaryo, Ee-Peng Lim:
Using Linear Dynamical Topic Model for Inferring Temporal Social Correlation in Latent Space. CoRR abs/1501.01270 (2015) - 2014
- [j7]Richard Jayadi Oentaryo, Meng Joo Er, Linn San, Xiang Li:
Online probabilistic learning for fuzzy inference system. Expert Syst. Appl. 41(11): 5082-5096 (2014) - [j6]Richard Jayadi Oentaryo, Ee-Peng Lim, Michael Finegold, David Lo, Feida Zhu, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, Kasun S. Perera, Bijay Neupane, Mustafa Amir Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar:
Detecting click fraud in online advertising: a data mining approach. J. Mach. Learn. Res. 15(1): 99-140 (2014) - [c11]Richard Jayadi Oentaryo, Ee-Peng Lim, Jia-Wei Low, David Lo, Michael Finegold:
Predicting response in mobile advertising with hierarchical importance-aware factorization machine. WSDM 2014: 123-132 - 2013
- [j5]Mahardhika Pratama, Meng Joo Er, Xiang Li, Richard Jayadi Oentaryo, Edwin Lughofer, Imam Arifin:
Data driven modeling based on dynamic parsimonious fuzzy neural network. Neurocomputing 110: 18-28 (2013) - [c10]Freddy Chong Tat Chua, Richard Jayadi Oentaryo, Ee-Peng Lim:
Modeling Temporal Adoptions Using Dynamic Matrix Factorization. ICDM 2013: 91-100 - 2012
- [c9]Richard Jayadi Oentaryo, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo:
Collective Churn Prediction in Social Network. ASONAM 2012: 210-214 - 2011
- [b1]Richard Jayadi Oentaryo:
Knowledge consolidation and inference in an integrated neuro-cognitive architecture. Nanyang Technological University, Singapore, 2011 - [j4]Meng Joo Er, Richard Jayadi Oentaryo:
Book Review: Computational Intelligence: Methods and Techniques (Rutkowski, L.; 2008). IEEE Comput. Intell. Mag. 6(4): 76-78 (2011) - [j3]Richard Jayadi Oentaryo, Michel Pasquier, Chai Quek:
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction. Expert Syst. Appl. 38(10): 12066-12084 (2011) - [j2]Richard Jayadi Oentaryo, Michel Pasquier:
Knowledge Consolidation and Inference in the Integrated Neuro-Cognitive Architecture. IEEE Intell. Syst. 26(4): 62-71 (2011)
2000 – 2009
- 2009
- [c8]Ko Dequan, Richard Jayadi Oentaryo, Michel Pasquier:
An adaptive history network method to improve the genetic optimization of pattern recognition systems. FUZZ-IEEE 2009: 23-28 - [c7]Richard Jayadi Oentaryo, Michel Pasquier:
A novel dual neuro-fuzzy system approach for large-scale knowledge consolidation. FUZZ-IEEE 2009: 53-58 - 2008
- [j1]Richard Jayadi Oentaryo, Michel Pasquier, Chai Quek:
GenSoFNN-Yager: A novel brain-inspired generic self-organizing neuro-fuzzy system realizing Yager inference. Expert Syst. Appl. 35(4): 1825-1840 (2008) - [c6]Wlodzislaw Duch, Richard Jayadi Oentaryo, Michel Pasquier:
Cognitive Architectures: Where do we go from here? AGI 2008: 122-136 - [c5]Richard Jayadi Oentaryo, Michel Pasquier:
Towards A Novel Integrated Neuro-Cognitive Architecture (INCA). IJCNN 2008: 1902-1909 - [c4]Richard Jayadi Oentaryo, Michel Pasquier:
A reduced rule-based localist network for data comprehension. IJCNN 2008: 2660-2667 - 2007
- [c3]Ernest Lumanpauw, Michel Pasquier, Richard Jayadi Oentaryo:
Generic GA-based meta-level parameter optimization for pattern recognition systems. IEEE Congress on Evolutionary Computation 2007: 1593-1600 - 2006
- [c2]Richard Jayadi Oentaryo, Michel Pasquier:
GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference. IJCNN 2006: 705-712 - 2004
- [c1]Richard Jayadi Oentaryo, Michel Pasquier:
Self-trained automated parking system. ICARCV 2004: 1005-1010
Coauthor Index
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