2008 |
14 | EE | Stephen H. Bach,
Marcus A. Maloof:
Paired Learners for Concept Drift.
ICDM 2008: 23-32 |
2007 |
13 | EE | Marcus A. Maloof,
Gregory D. Stephens:
elicit: A System for Detecting Insiders Who Violate Need-to-Know.
RAID 2007: 146-166 |
2006 |
12 | EE | Jeremy Z. Kolter,
Marcus A. Maloof:
Learning to Detect and Classify Malicious Executables in the Wild.
Journal of Machine Learning Research 6: 2721-2744 (2006) |
2005 |
11 | EE | Jeremy Z. Kolter,
Marcus A. Maloof:
Using additive expert ensembles to cope with concept drift.
ICML 2005: 449-456 |
2004 |
10 | EE | Jeremy Z. Kolter,
Marcus A. Maloof:
Learning to detect malicious executables in the wild.
KDD 2004: 470-478 |
9 | EE | Marcus A. Maloof,
Ryszard S. Michalski:
Incremental learning with partial instance memory.
Artif. Intell. 154(1-2): 95-126 (2004) |
2003 |
8 | EE | Jeremy Z. Kolter,
Marcus A. Maloof:
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift.
ICDM 2003: 123-130 |
7 | EE | 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) |
6 | EE | Marcus A. Maloof,
Pat Langley,
Thomas O. Binford,
Ramakant Nevatia,
Stephanie Sage:
Improved Rooftop Detection in Aerial Images with Machine Learning.
Machine Learning 53(1-2): 157-191 (2003) |
2002 |
5 | EE | Marcus A. Maloof:
On Machine Learning, ROC Analysis, and Statistical Tests of Significance.
ICPR (2) 2002: 204-207 |
4 | EE | Marcus A. Maloof,
Ryszard S. Michalski:
Incremental Learning with Partial Instance Memory.
ISMIS 2002: 16-27 |
2000 |
3 | | Marcus A. Maloof:
An Initial Study of an Adaptive Hierarchical Vision System.
ICML 2000: 567-574 |
2 | | Marcus A. Maloof,
Ryszard S. Michalski:
Selecting Examples for Partial Memory Learning.
Machine Learning 41(1): 27-52 (2000) |
1993 |
1 | | Marcus A. Maloof,
Krys Kochut:
Modifying Rete to Reason Temporally.
ICTAI 1993: 472-473 |