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Choo-Yee Ting
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2020 – today
- 2024
- [c22]Theng-Jia Law, Choo-Yee Ting, Hui-Ngo Goh, Hu Ng, Albert Quek:
Factors of Pre-University Study in Influencing Graduate on Time. ICACI 2024: 36-42 - [c21]Radiah Haque, Hui-Ngo Goh, Choo-Yee Ting, Albert Quek, Md. Rakibul Hasan:
Imbalanced Data Classification Using Oversampling and Automatic Feature Selection Methods for Undergraduate Student Career Prediction. ICEIT 2024: 247-252 - [i2]Terry Shue Chien Lau, Zhe Sun, Sook-Chin Yip, Ji-Jian Chin, Choo-Yee Ting:
On the Security and Design of Cryptosystems Using Gabidulin-Kronecker Product Codes. CoRR abs/2410.06849 (2024) - 2023
- [j13]Amar Lokman, R. Kanesaraj Ramasamy, Choo-Yee Ting:
Scheduling and Predictive Maintenance for Smart Toilet. IEEE Access 11: 17983-17999 (2023) - 2022
- [j12]Abdallah M. H. Abbas, Khairil Imran Bin Ghauth, Choo-Yee Ting:
User Experience Design Using Machine Learning: A Systematic Review. IEEE Access 10: 51501-51514 (2022) - 2020
- [j11]Wei Lun Lim, Chiung Ching Ho, Choo-Yee Ting:
Sentiment Analysis by Fusing Text and Location Features of Geo-Tagged Tweets. IEEE Access 8: 181014-181027 (2020) - [j10]Choo-Yee Ting, Chiung Ching Ho, Hui Jia Yee:
Geospatial Insights for Retail Recommendation Using Similarity Measures. Big Data 8(6): 519-527 (2020)
2010 – 2019
- 2019
- [c20]Jia-Ming Low, Ian K. T. Tan, Choo-Yee Ting:
Recent Developments in Recommender Systems. MIWAI 2019: 38-51 - [i1]Wei Lun Lim, Chiung Ching Ho, Choo-Yee Ting:
Fusing location and text features for sentiment classification. CoRR abs/1907.12008 (2019) - 2018
- [j9]Choo-Yee Ting, Chiung Ching Ho, Hui Jia Yee, Wan Razali Matsah:
Geospatial Analytics in Retail Site Selection and Sales Prediction. Big Data 6(1): 42-52 (2018) - 2015
- [j8]Choo-Yee Ting, Chiung Ching Ho:
Dataset of scientific inquiry learning environment. Br. J. Educ. Technol. 46(5): 1038-1050 (2015) - [c19]Jason Yong-Jin Tee, Lay-Ki Soon, Choo-Yee Ting:
Structural Analyses of Malaysian Web and Host Graphs. FiCloud 2015: 443-450 - [c18]Chiung Ching Ho, Choo-Yee Ting:
Time Series Analysis and Forecasting of Dengue Using Open Data. IVIC 2015: 51-63 - 2014
- [c17]Kok-Chin Khor, Choo-Yee Ting, Somnuk Phon-Amnuaisuk:
The Effectiveness of Sampling Methods for the Imbalanced Network Intrusion Detection Data Set. SCDM 2014: 613-622 - 2013
- [j7]Choo-Yee Ting, Yok-Cheng Sam, Chee-Onn Wong:
Model of conceptual change for INQPRO: A Bayesian Network approach. Comput. Educ. 65: 77-91 (2013) - [c16]Choo-Yee Ting, Wei-Nam Cheah, Chiung Ching Ho:
Student Engagement Modeling Using Bayesian Networks. SMC 2013: 2939-2944 - 2012
- [j6]Kok-Chin Khor, Choo-Yee Ting, Somnuk Phon-Amnuaisuk:
A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection. Appl. Intell. 36(2): 320-329 (2012) - [j5]Choo-Yee Ting, Somnuk Phon-Amnuaisuk:
Properties of Bayesian student model for INQPRO. Appl. Intell. 36(2): 391-406 (2012) - [j4]Chee Yik Keong, Poo Kuan Hoong, Choo-Yee Ting:
A Push-Pull Chunk Delivery for Mesh-Based P2P Live Streaming. IEICE Trans. Inf. Syst. 95-D(12): 2958-2959 (2012) - [c15]Jason Yong-Jin Tee, Lay-Ki Soon, Choo-Yee Ting:
WebSum: Enhanced SumBasic algorithm for Web site summarization. DMO 2012: 137-142 - [c14]Choo-Yee Ting, Kok-Chin Khor, Yok-Cheng Sam:
Evidence Conflict Analysis Approach to Obtain an Optimal Feature Set for Bayesian Tutoring Systems. ICICA (LNCS) 2012: 576-583 - [c13]Poo Kuan Hoong, Ian K. T. Tan, Ong Kok Chien, Choo-Yee Ting:
Road traffic prediction using Bayesian networks. ICWCA 2012: 1-5 - [c12]Yok-Cheng Sam, Choo-Yee Ting, Chee-Onn Wong:
Extrapolating the role of affect into supporting conceptual change in scientific inquiry learning. CAMP 2012: 158-161 - 2011
- [c11]Chee Yik Keong, Poo Kuan Hoong, Choo-Yee Ting:
Efficient Hybrid Push-Pull Based P2P Media Streaming System. ICPADS 2011: 735-740 - 2010
- [j3]Choo-Yee Ting, Somnuk Phon-Amnuaisuk:
Optimal dynamic decision network model for scientific inquiry learning environment. Appl. Intell. 33(3): 387-406 (2010) - [c10]Kian Chin Lee, Somnuk Phon-Amnuaisuk, Choo-Yee Ting:
A comparison of HMM, Naïve Bayesian, and Markov model in exploiting knowledge content in digital ink: A case study on handwritten music notation recognition. ICME 2010: 292-297
2000 – 2009
- 2009
- [j2]Choo-Yee Ting, Somnuk Phon-Amnuaisuk:
Factors influencing the performance of Dynamic Decision Network for INQPRO. Comput. Educ. 52(4): 762-780 (2009) - 2008
- [j1]Choo-Yee Ting, Somnuk Phon-Amnuaisuk, Yen-Kuan Chong:
Modeling and Intervening Across Time in Scientific Inquiry Exploratory Learning Environment. J. Educ. Technol. Soc. 11(3): 239-258 (2008) - [c9]Kok-Chin Khor, Choo-Yee Ting, Somnuk Phon-Amnuaisuk:
A Probabilistic Approach for Network Intrusion Detection. Asia International Conference on Modelling and Simulation 2008: 463-468 - 2007
- [c8]Phit-Huan Tan, Siew-Woei Ling, Choo-Yee Ting:
Adaptive digital game-based learning framework. DIMEA 2007: 142-146 - [c7]Choo-Yee Ting, Mohammad Reza Beik Zadeh:
Assessing Learner's Scientific Inquiry Skills Across Time: A Dynamic Bayesian Network Approach. User Modeling 2007: 207-216 - 2006
- [c6]Choo-Yee Ting, Mohammad Reza Beik Zadeh, Yen-Kuan Chong:
A Decision-Theoretic Approach to Scientific Inquiry Exploratory Learning Environment. Intelligent Tutoring Systems 2006: 85-94 - [c5]Choo-Yee Ting, Yen-Kuan Chong:
Conceptual Change Modeling Using Dynamic Bayesian Network. Intelligent Tutoring Systems 2006: 95-103 - [c4]Kok-Chin Khor, Choo-Yee Ting:
A Bayesian Approach to Classify Conference Papers. MICAI 2006: 1027-1036 - 2005
- [c3]Yoke-Jin Teh, Choo-Yee Ting, Somnuk Phon-Amnuaisuk:
Establishing a Probabilistic Model for Cognitive Learning Style. ICCE 2005: 468-475 - [c2]Choo-Yee Ting, Mohammad Reza Beik Zadeh:
Probabilistic Learner Modeling in Scientific Inquiry Exploratory Learning Environment. ICCE 2005: 500-507 - 2003
- [c1]Choo-Yee Ting, Yen-Kuan Chong:
Enhancing Conceptual Change through Cognitive Tools: An Animated Pedagogical Agent Approach. ICALT 2003: 314-315
Coauthor Index
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