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职业迁徙
个人简介
RESEARCH INTERESTS
I have a wide range of research interests across artificial intelligence, data management, and software engineering. My main areas of interest pertain to machine learning, knowledge representation, ethics, information retrieval and database systems.
I have extensive experience in artificial intelligence and its application in healthcare and the environment, with specific current interests in data stream mining, concept drift detection and adversarial attacks. We have created efficient and effective algorithms that detect when concepts have drifted in a data stream and identify the type of the drift. When a concept drift is detected, the model must be adapted to remain accurate. In this situation, we are describing when it is cost effective to transfer information from one model to another. We're currently also describing algorithms that detect and defend against various adversarial attacks, such as data poisoning and member inference attacks.
Previously my research focussed on the foundations of database systems, defining logical models for various kinds of database systems, and reasoning about the correctness of algorithms in that setting. With colleagues at the National University of Singapore, I defined a data model for semistructured data (called ORA-SS), providing a language independent description of the data. With this group I used the ORA-SS data model to define a normal form for ORA-SS schema, defined valid views for semistructured databases, and described a storage structure for semistructured databases using object relational databases.
研究兴趣
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CoRR (2023)
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Cristian Gonzalez-Prieto,Daniel Wilson,Gillian Dobbie,Claudia Rivera-Rodriguez,Susan Yates,Reshmi Rai-Bala,Tara Sani,Rosie Dobson,Sarah Cullum
The New Zealand medical journalno. 1582 (2023): 64-86
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CoRR (2023)
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Cristian Gonzalez Prieto,Ruby Hosking,Jasmine Appleton,Susan Yates, Yu-Min Lin, Bede Oulaghan,Claudia Rivera-Rodriguez,Daniel Wilson,Gillian Dobbie,Sarah Cullum
The New Zealand medical journalno. 1580 (2023): 48-61
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PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023pp.785-791, (2023)
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