Marcus A. Maloof

24 papers A* 5A 3B 4C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2015 — conf
Multi-class Traffic Morphing for Encrypted VoIP Communication.
Financial Cryptography
W. Brad Moore, Henry Tan, Micah Sherr, Marcus A. Maloof
2013 A conf
Rank-energy selective query forwarding for distributed search systems.
CIKM
Amin Y. Teymorian, Ophir Frieder, Marcus A. Maloof
2010 — conf
A Bayesian Approach to Concept Drift.
NIPS
Stephen H. Bach, Marcus A. Maloof
2010 — ch.
The AQ Methods for Concept Drift.
Advances in Machine Learning I
Marcus A. Maloof
2009 J jnl
Detecting Insider Theft of Trade Secrets.
IEEE Secur. Priv.
Deanna D. Caputo, Marcus A. Maloof, Greg Stephens
2008 A* conf
Paired Learners for Concept Drift.
ICDM
Stephen H. Bach, Marcus A. Maloof
2007 J jnl
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts.
J. Mach. Learn. Res.
J. Zico Kolter, Marcus A. Maloof
2007 A conf
elicit: A System for Detecting Insiders Who Violate Need-to-Know.
RAID
Marcus A. Maloof, Gregory D. Stephens
2006 J jnl
Learning to Detect and Classify Malicious Executables in the Wild.
J. Mach. Learn. Res.
Jeremy Z. Kolter, Marcus A. Maloof
2005 A* conf
Using additive expert ensembles to cope with concept drift.
ICML
Jeremy Z. Kolter, Marcus A. Maloof
2004 J jnl
Incremental learning with partial instance memory.
Artif. Intell.
Marcus A. Maloof, Ryszard S. Michalski
2004 A* conf
Learning to detect malicious executables in the wild.
KDD
Jeremy Z. Kolter, Marcus A. Maloof
2003 J jnl
A General Model for Finite-Sample Effects in Training and Testing of Competing Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Sergey V. Beiden, Marcus A. Maloof, Robert F. Wagner
2003 A* conf
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift.
ICDM
Jeremy Z. Kolter, Marcus A. Maloof
2003 J jnl
Improved Rooftop Detection in Aerial Images with Machine Learning.
Mach. Learn.
Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage
2003 B conf
Incremental rule learning with partial instance memory for changing concepts.
IJCNN
Marcus A. Maloof
2002 C conf
Incremental Learning with Partial Instance Memory.
ISMIS
Marcus A. Maloof, Ryszard S. Michalski
2002 — conf
On Machine Learning, ROC Analysis, and Statistical Tests of Significance.
ICPR (2)
Marcus A. Maloof
2002 B conf
ROC components-of-variance analysis of competing classifiers.
Image Processing
Sergey V. Beiden, Marcus A. Maloof, Robert F. Wagner
2000 A* conf
An Initial Study of an Adaptive Hierarchical Vision System.
ICML
Marcus A. Maloof
2000 J jnl
Selecting Examples for Partial Memory Learning.
Mach. Learn.
Marcus A. Maloof, Ryszard S. Michalski
1998 A conf
Generalizing over aspect and location for rooftop detection.
WACV
Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia
1995 B conf
A method for partial-memory incremental learning and its application to computer intrusion detection.
ICTAI
Marcus A. Maloof, Ryszard S. Michalski
1993 B conf
Modifying Rete to Reason Temporally.
ICTAI
Marcus A. Maloof, Krys J. Kochut