Liadan O'Callaghan
About
Liadan O'Callaghan has authored 7 papers that have received a total of 940 indexed citations.
This includes 6 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. The topics of these papers are Adaptation to Concept Drift in Data Streams (3 papers), Advanced Clustering Algorithms Research (3 papers) and Combinatorial Optimization and Complexity Theory (3 papers). Liadan O'Callaghan is often cited by papers focused on Adaptation to Concept Drift in Data Streams (3 papers), Advanced Clustering Algorithms Research (3 papers) and Combinatorial Optimization and Complexity Theory (3 papers) and collaborates with scholars based in United States, Hong Kong and Israel. Liadan O'Callaghan's co-authors include Adam Meyerson, Tomás Feder, Nita Mishra, Rina Panigrahy and Rajeev Motwani and has published in prestigious journals such as Journal of the ACM, Machine Learning and IEEE Transactions on Knowledge and Data Engineering
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