Richard Jayadi Oentaryo

According to our database, Richard Jayadi Oentaryo authored at least 38 papers between 2004 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel.

Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo

IEEE Trans. Software Eng., 2021

2020

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms.

Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

2019

Network-Clustered Multi-Modal Bug Localization.

Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo

IEEE Trans. Software Eng., 2019

PatchNet: a tool for deep patch classification.

Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018

Talent Flow Analytics in Online Professional Network.

Richard Jayadi Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau

Data Sci. Eng., 2018

JobComposer: Career Path Optimization via Multicriteria Utility Learning.

Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo

CoRR, 2018

2017

WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking.

Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian

IEEE Trans. Emerg. Top. Comput. Intell., 2017

Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction.

Truc Viet Le, Richard Jayadi Oentaryo, Siyuan Liu, Hoong Chuin Lau

IEEE Trans. Big Data, 2017

On Analyzing Job Hop Behavior and Talent Flow Networks.

Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Collective Semi-Supervised Learning for User Profiling in Social Media.

Richard Jayadi Oentaryo, Ee-Peng Lim, Freddy Chong Tat Chua, Jia-Wei Low, David Lo

CoRR, 2016

On Profiling Bots in Social Media.

Richard Jayadi Oentaryo, Arinto Murdopo, Philips Kokoh Prasetyo, Ee-Peng Lim

Proceedings of the Social Informatics - 8th International Conference, 2016

Where is the Goldmine?: Finding Promising Business Locations through Facebook Data Analytics.

Jovian Lin, Richard Jayadi Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, Agus Trisnajaya Kwee

Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016

A Business Zone Recommender System Based on Facebook and Urban Planning Data.

Jovian Lin, Richard Jayadi Oentaryo, Ee-Peng Lim, Casey Vu, Adrian Vu, Agus Trisnajaya Kwee, Philips Kokoh Prasetyo

Proceedings of the Advances in Information Retrieval, 2016

CareerMapper: An automated resume evaluation tool.

Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes.

Amin Jahromi Torabi, Meng Joo Er, Xiang Li, Beng Siong Lim, Lianyin Zhai, Richard Jayadi Oentaryo, Oon Peen Gan, Jacek M. Zurada

IEEE Syst. J., 2015

Using Linear Dynamical Topic Model for Inferring Temporal Social Correlation in Latent Space.

Freddy Chong Tat Chua, Richard Jayadi Oentaryo, Ee-Peng Lim

CoRR, 2015

Information retrieval and spectrum based bug localization: better together.

Tien-Duy B. Le, Richard Jayadi Oentaryo, David Lo

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Chalk and Cheese in Twitter: Discriminating Personal and Organization Accounts.

Richard Jayadi Oentaryo, Jia-Wei Low, Ee-Peng Lim

Proceedings of the Advances in Information Retrieval, 2015

Algorithm Selection via Ranking.

Richard Jayadi Oentaryo, Stephanus Daniel Handoko, Hoong Chuin Lau

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Detecting click fraud in online advertising: a data mining approach.

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

J. Mach. Learn. Res., 2014

Online probabilistic learning for fuzzy inference system.

Richard Jayadi Oentaryo, Meng Joo Er, Linn San, Xiang Li

Expert Syst. Appl., 2014

Predicting response in mobile advertising with hierarchical importance-aware factorization machine.

Richard Jayadi Oentaryo, Ee-Peng Lim, Jia-Wei Low, David Lo, Michael Finegold

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

2013

Data driven modeling based on dynamic parsimonious fuzzy neural network.

Mahardhika Pratama, Meng Joo Er, Xiang Li, Richard Jayadi Oentaryo, Edwin Lughofer, Imam Arifin

Neurocomputing, 2013

Modeling Temporal Adoptions Using Dynamic Matrix Factorization.

Freddy Chong Tat Chua, Richard Jayadi Oentaryo, Ee-Peng Lim

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Collective Churn Prediction in Social Network.

Richard Jayadi Oentaryo, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Knowledge consolidation and inference in an integrated neuro-cognitive architecture

Richard Jayadi Oentaryo

PhD thesis, 2011

Knowledge Consolidation and Inference in the Integrated Neuro-Cognitive Architecture.

Richard Jayadi Oentaryo, Michel Pasquier

IEEE Intell. Syst., 2011

RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction.

Richard Jayadi Oentaryo, Michel Pasquier, Chai Quek

Expert Syst. Appl., 2011

Book Review: Computational Intelligence: Methods and Techniques (Rutkowski, L.; 2008).

Meng Joo Er, Richard Jayadi Oentaryo

IEEE Comput. Intell. Mag., 2011

2009

A novel dual neuro-fuzzy system approach for large-scale knowledge consolidation.

Richard Jayadi Oentaryo, Michel Pasquier

Proceedings of the FUZZ-IEEE 2009, 2009

An adaptive history network method to improve the genetic optimization of pattern recognition systems.

Ko Dequan, Richard Jayadi Oentaryo, Michel Pasquier

Proceedings of the FUZZ-IEEE 2009, 2009

2008

GenSoFNN-Yager: A novel brain-inspired generic self-organizing neuro-fuzzy system realizing Yager inference.

Richard Jayadi Oentaryo, Michel Pasquier, Chai Quek

Expert Syst. Appl., 2008

A reduced rule-based localist network for data comprehension.

Richard Jayadi Oentaryo, Michel Pasquier

Proceedings of the International Joint Conference on Neural Networks, 2008

Towards A Novel Integrated Neuro-Cognitive Architecture (INCA).

Richard Jayadi Oentaryo, Michel Pasquier

Proceedings of the International Joint Conference on Neural Networks, 2008

Cognitive Architectures: Where do we go from here?

Wlodzislaw Duch, Richard Jayadi Oentaryo, Michel Pasquier

Proceedings of the Artificial General Intelligence 2008, 2008

2007

Generic GA-based meta-level parameter optimization for pattern recognition systems.

Ernest Lumanpauw, Michel Pasquier, Richard Jayadi Oentaryo

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference.

Richard Jayadi Oentaryo, Michel Pasquier

Proceedings of the International Joint Conference on Neural Networks, 2006

2004

Self-trained automated parking system.

Richard Jayadi Oentaryo, Michel Pasquier

Proceedings of the 8th International Conference on Control, 2004