Neal E. Young is affiliated with the University of California, Riverside in the United States. Their research primarily falls within the field of Computer Science, with significant focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, and General Health Professions.
The scientist's research interests cover a range of topics related to machine learning and algorithms, algorithms and data compression, imbalanced data classification techniques, optimization and search problems, advanced data storage technologies, distributed systems and fault tolerance, as well as caching and content delivery.
Frequent collaborators include Marek Chrobák, Mordecai J. Golin, Rajmohan Rajaraman, J. Ian Munro, and Samuel Haney.
Their recent scholarly contributions include the following papers:
Neal E. Young has published in venues such as ACM Transactions on Algorithms, arXiv (Cornell University), The VLDB Journal, Algorithmica, and the Leibniz-Zentrum für Informatik (Schloss Dagstuhl).
Michael R. Blanton;Michael R. Blanton;Huan Lin;Robert H. Lupton;F. Miller Maley
Amos Fiat;Richard M. Karp;Michael Luby;Lyle A. McGeoch
S. Khuller;B. Raghavachari;N. Young
Abdullah Mueen;Eamonn Keogh;Neal Young
Neal E. Young
N.E. Young
Neal E. Young
Neal E. Young;Robert E. Tarjant;James B. Orlin
David R. Karger;Philip Klein;Cliff Stein;Mikkel Thorup
Neal Young
Samir Khuller;Balaji Raghavachari;Neal Young
Neal Young;Robert Tarjan;James Orlin
Samir Khuller;Balaji Raghavachari;Neal Young;Neal Young
Neal E. Young
Richard J. Lipton;Neal E. Young
Samir Khuller;Balaji Raghavachari;Neal Young
Neal E. Young
Christos Koufogiannakis;Neal E. Young
Stavros G. Kolliopoulos;Neal E. Young
Samir Khuller;Balaji Raghavachari;Neal E. Young
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