Ph.D. Dissertations - Anthony D. Joseph
Dataframe Systems: Theory, Architecture, and Implementation
Devin Petersohn [2021]
Stone soup: digesting the epigenome through the window of chromatin accessibility
Alyssa Morrow [2021]
Scalable Systems and Algorithms for Genomic Variant Analysis
Frank Nothaft [2017]
Taming Evasions in Machine Learning Based Detection Pipelines
Alex Kantchelian [2016]
Scalable Platform for Malicious Content Detection Integrating Machine Learning and Manual Review
Bradley Miller [2015]
Behavior of Machine Learning Algorithms in Adversarial Environments
Blaine Nelson [2010]
D-Trigger: A General Framework for Efcient Online Detection
Ling Huang [2007]
Decentralized Object Location and Routing: A New Networking Paradigm
Ben Y. Zhao [2004]
TAPAS: A Research Paradigm for the Modeling, Prediction and Analysis of Non-Stationary Network Behavior
Almudena P. Konrad [2003]