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ORCIDMarcus A. Maloof
Person information
- affiliation: Georgetown University, Washington, DC, USA
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2010 – 2019
- 2015
[c16]W. Brad Moore, Henry Tan, Micah Sherr, Marcus A. Maloof:
Multi-class Traffic Morphing for Encrypted VoIP Communication. Financial Cryptography 2015: 65-85- 2013
- [c15]Amin Y. Teymorian, Ophir Frieder, Marcus A. Maloof:
Rank-energy selective query forwarding for distributed search systems. CIKM 2013: 389-398 - 2010
- [c14]Stephen H. Bach, Marcus A. Maloof:
A Bayesian Approach to Concept Drift. NIPS 2010: 127-135 - [p1]Marcus A. Maloof:
The AQ Methods for Concept Drift. Advances in Machine Learning I 2010: 23-47
2000 – 2009
- 2009
- [j7]Deanna D. Caputo, Marcus A. Maloof, Greg Stephens:
Detecting Insider Theft of Trade Secrets. IEEE Secur. Priv. 7(6): 14-21 (2009) - 2008
- [c13]Stephen H. Bach, Marcus A. Maloof:
Paired Learners for Concept Drift. ICDM 2008: 23-32 - 2007
- [j6]J. Zico Kolter, Marcus A. Maloof:
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts. J. Mach. Learn. Res. 8: 2755-2790 (2007) - [c12]Marcus A. Maloof, Gregory D. Stephens:
elicit: A System for Detecting Insiders Who Violate Need-to-Know. RAID 2007: 146-166 - 2006
- [j5]Jeremy Z. Kolter, Marcus A. Maloof:
Learning to Detect and Classify Malicious Executables in the Wild. J. Mach. Learn. Res. 7: 2721-2744 (2006) - 2005
- [c11]Jeremy Z. Kolter, Marcus A. Maloof:
Using additive expert ensembles to cope with concept drift. ICML 2005: 449-456 - 2004
- [j4]Marcus A. Maloof, Ryszard S. Michalski:
Incremental learning with partial instance memory. Artif. Intell. 154(1-2): 95-126 (2004) - [c10]Jeremy Z. Kolter, Marcus A. Maloof:
Learning to detect malicious executables in the wild. KDD 2004: 470-478 - 2003
- [j3]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): 157-191 (2003) - [j2]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): 1561-1569 (2003) - [c9]Jeremy Z. Kolter, Marcus A. Maloof:
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift. ICDM 2003: 123-130 - [c8]Marcus A. Maloof:
Incremental rule learning with partial instance memory for changing concepts. IJCNN 2003: 2764-2769 - 2002
- [c7]Marcus A. Maloof:
On Machine Learning, ROC Analysis, and Statistical Tests of Significance. ICPR (2) 2002: 204-207 - [c6]Marcus A. Maloof, Ryszard S. Michalski:
Incremental Learning with Partial Instance Memory. ISMIS 2002: 16-27 - [c5]Sergey V. Beiden, Marcus A. Maloof, Robert F. Wagner:
ROC components-of-variance analysis of competing classifiers. Image Processing 2002 - 2000
- [j1]Marcus A. Maloof, Ryszard S. Michalski:
Selecting Examples for Partial Memory Learning. Mach. Learn. 41(1): 27-52 (2000) - [c4]Marcus A. Maloof:
An Initial Study of an Adaptive Hierarchical Vision System. ICML 2000: 567-574
1990 – 1999
- 1998
- [c3]Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia:
Generalizing over aspect and location for rooftop detection. WACV 1998: 194-199 - 1995
- [c2]Marcus A. Maloof, Ryszard S. Michalski:
A method for partial-memory incremental learning and its application to computer intrusion detection. ICTAI 1995: 392-397 - 1993
- [c1]Marcus A. Maloof, Krys J. Kochut:
Modifying Rete to Reason Temporally. ICTAI 1993: 472-473
Coauthor Index
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