Yuming Ou

Orcid: 0000-0001-5922-9406

According to our database1, Yuming Ou authored at least 29 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence.
CoRR, 2024

Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach.
CoRR, 2024

Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Modelling public transport disruptions and impact by smart-card data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Traffic disruption modelling with mode shift in multi-modal networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2020
Dynamic Train Demand Estimation and Passenger Assignment.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2014
Coupled K-Nearest Centroid Classification for Non-iid Data.
Trans. Comput. Collect. Intell., 2014

Behavior Informatics: A New Perspective.
IEEE Intell. Syst., 2014

A Coupled Similarity Kernel for Pairwise Support Vector Machine.
Proceedings of the Agents and Data Mining Interaction - 10th International Workshop, 2014

2013
Effective detection of sophisticated online banking fraud on extremely imbalanced data.
World Wide Web, 2013

Learning Heterogeneous Coupling Relationships Between Non-IID Terms.
Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013

2012
Coupled Behavior Analysis with Applications.
IEEE Trans. Knowl. Data Eng., 2012

System Modeling of a Smart-Home Healthy Lifestyle Assistant.
Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

2011
Coupled nominal similarity in unsupervised learning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Adaptive Anomaly Detection of Coupled Activity Sequences.
IEEE Intell. Informatics Bull., 2009

2008
Market Microstructure Patterns Powering Trading and Surveillance Agents.
J. Univers. Comput. Sci., 2008

Agent-based evolutionary optimisation of trading strategies.
Int. J. Intell. Inf. Database Syst., 2008

Mining Exceptional Activity Patterns in Microstructure Data.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Outlier Mining on Multiple Time Series Data in Stock Market.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Exception Mining on Multiple Time Series in Stock Market.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007
Mining High Impact Exceptional Behavior Patterns.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

2006
Discovering Debtor Patterns of Centrelink Customers.
Proceedings of the Data Mining and Analytics 2006, 2006

2005
Identifying Interesting Customers through Web Log Classification.
IEEE Intell. Syst., 2005

2004
Is Minimum-Support Appropriate to Identifying Large Itemsets?
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004


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