Marcus A. Maloof

Publication Activity (10 Years)

Years Active: 1993-2015
Publications (10 Years): 0

Top Topics

Multi Class Classifier

Theorem Proving

Stepping Stones

Distributed Search

Top Venues

Financial Cryptography

Publications

W. Brad Moore, Henry Tan, Micah Sherr, Marcus A. Maloof
Multi-class Traffic Morphing for Encrypted VoIP Communication. Financial Cryptography (2015)
Amin Y. Teymorian, Ophir Frieder, Marcus A. Maloof
Rank-energy selective query forwarding for distributed search systems. CIKM (2013)
Stephen H. Bach, Marcus A. Maloof
A Bayesian Approach to Concept Drift. NIPS (2010)
Deanna D. Caputo, Marcus A. Maloof, Gregory D. Stephens
Detecting Insider Theft of Trade Secrets. IEEE Secur. Priv. 7 (6) (2009)
Stephen H. Bach, Marcus A. Maloof
Paired Learners for Concept Drift. ICDM (2008)
J. Zico Kolter, Marcus A. Maloof
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts. J. Mach. Learn. Res. 8 (2007)
Marcus A. Maloof, Gregory D. Stephens
elicit: A System for Detecting Insiders Who Violate Need-to-Know. RAID (2007)
Jeremy Z. Kolter, Marcus A. Maloof
Learning to Detect and Classify Malicious Executables in the Wild. J. Mach. Learn. Res. 7 (2006)
Jeremy Z. Kolter, Marcus A. Maloof
Using additive expert ensembles to cope with concept drift. ICML (2005)
Marcus A. Maloof, Ryszard S. Michalski
Incremental learning with partial instance memory. Artif. Intell. 154 (1-2) (2004)
Jeremy Z. Kolter, Marcus A. Maloof
Learning to detect malicious executables in the wild. KDD (2004)
Jeremy Z. Kolter, Marcus A. Maloof
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift. ICDM (2003)
Sergey V. Beiden, Marcus A. Maloof, Robert F. Wagner
A General Model for Finite-Sample Effects in Training and Testing of Competing Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 25 (12) (2003)
Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage
Improved Rooftop Detection in Aerial Images with Machine Learning. Mach. Learn. 53 (1-2) (2003)
Sergey V. Beiden, Marcus A. Maloof, Robert F. Wagner
ROC components-of-variance analysis of competing classifiers. Medical Imaging: Image Processing (2002)
Marcus A. Maloof
On Machine Learning, ROC Analysis, and Statistical Tests of Significance. ICPR (2) (2002)
Marcus A. Maloof, Ryszard S. Michalski
Incremental Learning with Partial Instance Memory. ISMIS (2002)
Marcus A. Maloof, Ryszard S. Michalski
Selecting Examples for Partial Memory Learning. Mach. Learn. 41 (1) (2000)
Marcus A. Maloof
An Initial Study of an Adaptive Hierarchical Vision System. ICML (2000)
Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia
Generalizing over aspect and location for rooftop detection. WACV (1998)
Marcus A. Maloof, Ryszard S. Michalski
A method for partial-memory incremental learning and its application to computer intrusion detection. ICTAI (1995)
Marcus A. Maloof, Krys J. Kochut
Modifying Rete to Reason Temporally. ICTAI (1993)