Yun Sing Koh
Orcid: 0000-0001-7256-4049
According to our database1,
Yun Sing Koh
authored at least 134 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
<i>HT2ML</i>: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE.
Comput. Secur., December, 2023
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams.
ACM Trans. Knowl. Discov. Data, 2023
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata.
Empir. Softw. Eng., 2023
CoRR, 2023
What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility.
CoRR, 2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
A Large-Scale Study of Device and Link Presentation in Email Phishing Susceptibility.
Proceedings of the 35th Australian Computer-Human Interaction Conference, 2023
Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Mach. Learn., 2022
Int. J. Data Sci. Anal., 2022
What's Inside a Cluster of Software User Feedback: A Study of Characterisation Methods.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.
Data Min. Knowl. Discov., 2021
Evaluating Software User Feedback Classifiers on Unseen Apps, Datasets, and Metadata.
CoRR, 2021
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking.
Sensors, 2020
J. Artif. Intell. Res., 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the Database and Expert Systems Applications, 2020
2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the Databases Theory and Applications, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment.
Aslib J. Inf. Manag., 2018
Vehicle emission prediction using remote sensing data and machine learning techniques.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the Database and Expert Systems Applications, 2018
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018
2017
Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments.
Inf. Res., 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments.
Comput. Hum. Behav., 2016
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
2015
Trans. Large Scale Data Knowl. Centered Syst., 2015
Expert Syst. Appl., 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
2014
Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach.
Web Intell. Agent Syst., 2014
Research on particle swarm optimization based clustering: A systematic review of literature and techniques.
Swarm Evol. Comput., 2014
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling.
Mach. Learn., 2014
Intell. Data Anal., 2014
Expert Syst. Appl., 2014
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Data Warehousing and Knowledge Discovery, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Trans. Large Scale Data Knowl. Centered Syst., 2013
Trans. Large Scale Data Knowl. Centered Syst., 2013
Inf. Sci., 2013
Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2013
Proceedings of the Data Warehousing and Knowledge Discovery, 2013
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, 2013
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the Data Warehousing and Knowledge Discovery, 2012
Proceedings of the Data Warehousing and Knowledge Discovery, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
Int. J. Data Warehous. Min., 2011
Proceedings of the New Frontiers in Applied Data Mining, 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the Data Warehousing and Knowledge Discovery, 2011
Proceedings of the Data Warehousing and Knowledge Discovery, 2011
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011
2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010
2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009
2008
Intell. Data Anal., 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the Data Mining and Analytics 2008, 2008
2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
2006
Int. J. Data Warehous. Min., 2006
2005
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005