Marcus A. Maloof

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2015

Multi-class Traffic Morphing for Encrypted VoIP Communication.

W. Brad Moore, Henry Tan, Micah Sherr, Marcus A. Maloof

Proceedings of the Financial Cryptography and Data Security, 2015

2013

Rank-energy selective query forwarding for distributed search systems.

Amin Y. Teymorian, Ophir Frieder, Marcus A. Maloof

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2010

The AQ Methods for Concept Drift.

Marcus A. Maloof

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

A Bayesian Approach to Concept Drift.

Stephen H. Bach, Marcus A. Maloof

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.

Deanna D. Caputo, Marcus A. Maloof, Gregory D. Stephens

IEEE Secur. Priv., 2009

2008

Paired Learners for Concept Drift.

Stephen H. Bach, Marcus A. Maloof

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts.

J. Zico Kolter, Marcus A. Maloof

J. Mach. Learn. Res., 2007

elicit: A System for Detecting Insiders Who Violate Need-to-Know.

Marcus A. Maloof, Gregory D. Stephens

Proceedings of the Recent Advances in Intrusion Detection, 10th International Symposium, 2007

2006

Learning to Detect and Classify Malicious Executables in the Wild.

Jeremy Z. Kolter, Marcus A. Maloof

J. Mach. Learn. Res., 2006

2005

Using additive expert ensembles to cope with concept drift.

Jeremy Z. Kolter, Marcus A. Maloof

Proceedings of the Machine Learning, 2005

2004

Incremental learning with partial instance memory.

Marcus A. Maloof, Ryszard S. Michalski

Artif. Intell., 2004

Learning to detect malicious executables in the wild.

Jeremy Z. Kolter, Marcus A. Maloof

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.

Sergey V. Beiden, Marcus A. Maloof, Robert F. Wagner

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Improved Rooftop Detection in Aerial Images with Machine Learning.

Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage

Mach. Learn., 2003

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift.

Jeremy Z. Kolter, Marcus A. Maloof

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

ROC components-of-variance analysis of competing classifiers.

Sergey V. Beiden, Marcus A. Maloof, Robert F. Wagner

Proceedings of the Medical Imaging 2002: Image Processing, 2002

On Machine Learning, ROC Analysis, and Statistical Tests of Significance.

Marcus A. Maloof

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000

Selecting Examples for Partial Memory Learning.

Marcus A. Maloof, Ryszard S. Michalski

Mach. Learn., 2000

An Initial Study of an Adaptive Hierarchical Vision System.

Marcus A. Maloof

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.

Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia

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.

Marcus A. Maloof, Ryszard S. Michalski

Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

1993

Modifying Rete to Reason Temporally.

Marcus A. Maloof, Krys J. Kochut

Proceedings of the Fifth International Conference on Tools with Artificial Intelligence, 1993