Marcus A. Maloof - researchr alias

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Viewing Publication 1 - 23 from 23

2015

Multi-class Traffic Morphing for Encrypted VoIP CommunicationW. Brad Moore, Henry Tan, Micah Sherr, Marcus A. Maloof. fc 2015: 65-85 [doi]

2013

Rank-energy selective query forwarding for distributed search systemsAmin Y. Teymorian, Ophir Frieder, Marcus A. Maloof. CIKM 2013: 389-398 [doi]

2010

A Bayesian Approach to Concept DriftStephen H. Bach, Marcus A. Maloof. nips 2010: 127-135 [doi]

The AQ Methods for Concept DriftMarcus A. Maloof. In Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk, editors, Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Volume 262 of Studies in Computational Intelligence, pages 23-47, Springer, 2010. [doi]

2009

Detecting Insider Theft of Trade SecretsDeanna Caputo, Marcus A. Maloof, Gregory D. Stephens. ieeesp, 7(6):14-21, 2009. [doi]

2008

Paired Learners for Concept DriftStephen H. Bach, Marcus A. Maloof. icdm 2008: 23-32 [doi]

2007

Dynamic Weighted Majority: An Ensemble Method for Drifting ConceptsJ. Zico Kolter, Marcus A. Maloof. jmlr, 8:2755-2790, 2007. [doi]

elicit: A System for Detecting Insiders Who Violate Need-to-KnowMarcus A. Maloof, Gregory D. Stephens. raid 2007: 146-166 [doi]

2006

Learning to Detect and Classify Malicious Executables in the WildJeremy Z. Kolter, Marcus A. Maloof. jmlr, 6:2721-2744, 2006. [doi]

2005

Using additive expert ensembles to cope with concept driftJeremy Z. Kolter, Marcus A. Maloof. icml 2005: 449-456 [doi]

2004

Learning to detect malicious executables in the wildJeremy Z. Kolter, Marcus A. Maloof. kdd 2004: 470-478 [doi]

Incremental learning with partial instance memoryMarcus A. Maloof, Ryszard S. Michalski. ai, 154(1-2):95-126, 2004. [doi]

2003

A General Model for Finite-Sample Effects in Training and Testing of Competing ClassifiersSergey V. Beiden, Marcus A. Maloof, Robert F. Wagner. pami, 25(12):1561-1569, 2003. [doi]

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept DriftJeremy Z. Kolter, Marcus A. Maloof. icdm 2003: 123-130 [doi]

Improved Rooftop Detection in Aerial Images with Machine LearningMarcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage. ml, 53(1-2):157-191, 2003. [doi]

2002

ROC components-of-variance analysis of competing classifiersSergey V. Beiden, Marcus A. Maloof, Robert F. Wagner. miip 2002: [doi]

Incremental Learning with Partial Instance MemoryMarcus A. Maloof, Ryszard S. Michalski. ismis 2002: 16-27 [doi]

On Machine Learning, ROC Analysis, and Statistical Tests of SignificanceMarcus A. Maloof. icpr 2002: 204-207 [doi]

2000

Selecting Examples for Partial Memory LearningMarcus A. Maloof, Ryszard S. Michalski. ml, 41(1):27-52, 2000.

An Initial Study of an Adaptive Hierarchical Vision SystemMarcus A. Maloof. icml 2000: 567-574

1998

Generalizing over aspect and location for rooftop detectionMarcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia. wacv 1998: 194-199 [doi]

1995

A method for partial-memory incremental learning and its application to computer intrusion detectionMarcus A. Maloof, Ryszard S. Michalski. ictai 1995: 392-397 [doi]

1993

Modifying Rete to Reason TemporallyMarcus A. Maloof, Krys Kochut. ictai 1993: 472-473

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