Marcus A. Maloof

Affiliations:
  • Georgetown University, Washington, DC, USA


According to our database1, Marcus A. Maloof authored at least 22 papers between 1993 and 2015.

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Bibliography

2015
Multi-class Traffic Morphing for Encrypted VoIP Communication.
Proceedings of the Financial Cryptography and Data Security, 2015

2013
Rank-energy selective query forwarding for distributed search systems.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2010
The AQ Methods for Concept Drift.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

A Bayesian Approach to Concept Drift.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Detecting Insider Theft of Trade Secrets.
IEEE Secur. Priv., 2009

2008
Paired Learners for Concept Drift.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts.
J. Mach. Learn. Res., 2007

elicit: A System for Detecting Insiders Who Violate Need-to-Know.
Proceedings of the Recent Advances in Intrusion Detection, 10th International Symposium, 2007

2006
Learning to Detect and Classify Malicious Executables in the Wild.
J. Mach. Learn. Res., 2006

2005
Using additive expert ensembles to cope with concept drift.
Proceedings of the Machine Learning, 2005

2004
Incremental learning with partial instance memory.
Artif. Intell., 2004

Learning to detect malicious executables in the wild.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
A General Model for Finite-Sample Effects in Training and Testing of Competing Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Improved Rooftop Detection in Aerial Images with Machine Learning.
Mach. Learn., 2003

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
ROC components-of-variance analysis of competing classifiers.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

On Machine Learning, ROC Analysis, and Statistical Tests of Significance.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000
Selecting Examples for Partial Memory Learning.
Mach. Learn., 2000

An Initial Study of an Adaptive Hierarchical Vision System.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998
Generalizing over aspect and location for rooftop detection.
Proceedings of the Proceedings Fourth IEEE Workshop on Applications of Computer Vision, 1998

1995
A method for partial-memory incremental learning and its application to computer intrusion detection.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

1993
Modifying Rete to Reason Temporally.
Proceedings of the Fifth International Conference on Tools with Artificial Intelligence, 1993


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