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职业迁徙
个人简介
Neil Yorke-Smith is an Associate Professor of Business Information and Decision Systems at the Suliman S. Olayan School of Business, American University of Beirut. His research interests include planning and scheduling, agent-based modelling, machine learning and data mining, simulation, and their real-world applications. He has been a Visiting Scholar at St Edmund's College, Cambridge and at the Center for the Study of Language and Information, Stanford University, and a Visiting Research Fellow at the Cambridge Judge Business School and at RMIT University. Previously, Dr Yorke-Smith was a Research Scientist at SRI International, USA and lectured at Stanford University. He holds a masters degree from the University of Cambridge and a doctorate from Imperial College London, where his thesis research focused on handling uncertainty in business applications of constraint-based reasoning.
Selected publications
Dechesne, F.; Ghorbani, A.; and Yorke-Smith, N. (eds). Special Issue on Agent-Based Modelling for Policy Engineering. AI & Society, 30(3), August 2015. PDF | DOI
Introduces a collection of papers from the AMPLE workshop series.
Guo, G.; Zhang J.; Sun, Z.; and Yorke-Smith, N. LibRec: A Java Library for Recommender Systems. Proceedings of 23rd International Conference on User Modelling, Adaptation and Personalization (UMAP'15), Demonstration Track. Dublin, Ireland. July 2015. PDF
Describes a reusable library for researchers in recommender systems.
Meneguzzi, F.; Telang, P. R.; and Yorke-Smith, N. Towards Planning Uncertain Commitment Protocols. Proceedings of 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'15), Istanbul, Turkey, May 2015. PDF
Sketches an algorithm for commitment-based planning with a centralized mediating agent.
Harland, J.; Thangarajah, J.; and Yorke-Smith, N. Estimating the Progress of Maintenance Goals. Proceedings of 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'15), Istanbul, Turkey, May 2015. PDF
Outlines a computational mechanism for estimating the level of completeness of maintenance goals.
Srour, F. J. and Yorke-Smith, N. Towards Agent-Based Simulation of Maritime Customs. Proceedings of 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'15), Istanbul, Turkey, May 2015. PDF
Overviews the design of an agent-based simulation of maritime customs processes.
Chaudhri, V.; Heymans, S.; and Yorke-Smith, N. Reasoning About Interruption of Biological Processes. Biologically Inspired Cognitive Architectures, 12, April 2015. PDF | DOI
Presents an approach to hypothetical reasoning over a knowledge base.
Guo, G.; Zhang, J.; and Yorke-Smith, N. Leveraging Multiviews of Trust and Similarity to Enhance Clustering-based Recommender Systems. Knowledge-Based Systems, 74, January 2015. PDF | DOI
Proposes to use trust information, both explicit and implicit, together with similarity information, to improve personalized recommendations.
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TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2024): 104413-104413
Computers & Chemical Engineering (2024): 108660
ICAPSno. 1 (2023): 171-179
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IFAC-PapersOnLineno. 2 (2023): 562-569
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IEEE Access (2023): 103461-103475
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