Carla E. Brodley

2008
52	EE	Xintao Wei, Lenore Cowen, Carla E. Brodley, Arthur Brady, D. Sculley, Donna K. Slonim: A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes. ISBRA 2008: 26-37
2007
51	EE	R. Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl: Active Class Selection. ECML 2007: 640-647
50	EE	Umaa Rebbapragada, Carla E. Brodley: Class Noise Mitigation Through Instance Weighting. ECML 2007: 708-715
2006
49	EE	Nigel Jacob, Carla E. Brodley: Offloading IDS Computation to the GPU. ACSAC 2006: 371-380
48	EE	D. Sculley, Carla E. Brodley: Compression and Machine Learning: A New Perspective on Feature Space Vectors. DCC 2006: 332-332
47	EE	David Sculley, Gabriel Wachman, Carla E. Brodley: Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers. TREC 2006
46	EE	Hilmi Ozdoganoglu, T. N. Vijaykumar, Carla E. Brodley, Benjamin A. Kuperman, Ankit Jalote: SmashGuard: A Hardware Solution to Prevent Security Attacks on the Function Return Address. IEEE Trans. Computers 55(10): 1271-1285 (2006)
2005
45	EE	Jahangir Hasan, Ankit Jalote, T. N. Vijaykumar, Carla E. Brodley: Heat Stroke: Power-Density-Based Denial of Service in SMT. HPCA 2005: 166-177
44		Xiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl: Correlation Clustering for Learning Mixtures of Canonical Correlation Models. SDM 2005
43	EE	Benjamin A. Kuperman, Carla E. Brodley, Hilmi Ozdoganoglu, T. N. Vijaykumar, Ankit Jalote: Detection and prevention of stack buffer overflow attacks. Commun. ACM 48(11): 50-56 (2005)
2004
42		Carla E. Brodley: Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004 ACM 2004
41		Carla E. Brodley, Philip Chan, Richard Lippman, William Yurcik: Workshop on Visualization and Data Mining for Computer Security (VizSEC/DMSEC 2004), 29 October 2004, Washington DC, USA ACM 2004
40	EE	Serdar Cabuk, Carla E. Brodley, Clay Shields: IP covert timing channels: design and detection. ACM Conference on Computer and Communications Security 2004: 178-187
39	EE	Xiaoli Zhang Fern, Carla E. Brodley: Solving cluster ensemble problems by bipartite graph partitioning. ICML 2004
38	EE	Maja Pusara, Carla E. Brodley: User re-authentication via mouse movements. VizSEC 2004: 1-8
37	EE	Ruzena Bajcsy, Terry Benzel, Matt Bishop, Robert Braden, Carla E. Brodley, Sonia Fahmy, Sally Floyd, W. Hardaker, Anthony D. Joseph, George Kesidis, Karl N. Levitt, Robert Lindell, Peng Liu, David Miller, Russ Mundy, Cliford Neuman, Ron Ostrenga, Vern Paxson, Phillip A. Porras, Catherine Rosenberg, J. Doug Tygar, Shankar Sastry, Daniel F. Sterne, Shyhtsun Felix Wu: Cyber defense technology networking and evaluation. Commun. ACM 47(3): 58-61 (2004)
36	EE	Jennifer G. Dy, Carla E. Brodley: Feature Selection for Unsupervised Learning. Journal of Machine Learning Research 5: 845-889 (2004)
2003
35	EE	James P. Early, Carla E. Brodley, Catherine Rosenberg: Behavioral Authentication of Server Flows. ACSAC 2003: 46-55
34		Xiaoli Zhang Fern, Carla E. Brodley: Boosting Lazy Decision Trees. ICML 2003: 178-185
33		Xiaoli Zhang Fern, Carla E. Brodley: Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. ICML 2003: 186-193
32	EE	Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen: Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 373-378 (2003)
31		Terran Lane, Carla E. Brodley: An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection. Machine Learning 51(1): 73-107 (2003)
2002
30	EE	Sean D. MacArthur, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick: Interactive Content-Based Image Retrieval Using Relevance Feedback. Computer Vision and Image Understanding 88(2): 55-75 (2002)
29	EE	Chi-Ren Shyu, Christina Pavlopoulou, Avinash C. Kak, Carla E. Brodley, Lynn S. Broderick: Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database. Computer Vision and Image Understanding 88(3): 119-151 (2002)
2001
28		Carla E. Brodley, Andrea Pohoreckyj Danyluk: Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001 Morgan Kaufmann 2001
27	EE	Timothy M. Stough, Carla E. Brodley: Focusing attention on objects of interest using multiple matched filters. IEEE Transactions on Image Processing 10(3): 419-426 (2001)
26		Jeffrey P. Bradford, Carla E. Brodley: The Effect of Instance-Space Partition on Significance. Machine Learning 42(3): 269-286 (2001)
2000
25		Jennifer G. Dy, Carla E. Brodley: Feature Subset Selection and Order Identification for Unsupervised Learning. ICML 2000: 247-254
24		Terran Lane, Carla E. Brodley: Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. ICML 2000: 519-526
23		Chi-Ren Shyu, Avinash C. Kak, Carla E. Brodley, Christina Pavlopoulou, M. F. Chyan, Lynn S. Broderick: A Web-Based CBIR-Assisted Learning Tool for Radiology Education - Anytime and Anyplace. IEEE International Conference on Multimedia and Expo (I) 2000: 23-26
22	EE	Jennifer G. Dy, Carla E. Brodley: Visualization and interactive feature selection for unsupervised data. KDD 2000: 360-364
21	EE	Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng: KDD-Cup 2000 Organizers' Report: Peeling the Onion. SIGKDD Explorations 2(2): 86-98 (2000)
1999
20		Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen: Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. AAAI/IAAI 1999: 760-767
19	EE	Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick: The Customized-Queries Approach to CBIR Using EM. CVPR 1999: 2400-2406
18	EE	Nirav H. Kapadia, José A. B. Fortes, Carla E. Brodley: Predictive Application-Performance Modeling in a Computational Grid Environment. HPDC 1999
17		Yuanhui Zhou, Carla E. Brodley: A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms. ICML 1999: 503-
16	EE	Terran Lane, Carla E. Brodley: Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Trans. Inf. Syst. Secur. 2(3): 295-331 (1999)
15	EE	Chi-Ren Shyu, Carla E. Brodley, Avinash C. Kak, Akio Kosaka, Alex M. Aisen, Lynn S. Broderick: ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases. Computer Vision and Image Understanding 75(1-2): 111-132 (1999)
14	EE	Carla E. Brodley, Mark A. Friedl: Identifying Mislabeled Training Data. J. Artif. Intell. Res. (JAIR) 11: 131-167 (1999)
1998
13	EE	Terran Lane, Carla E. Brodley: Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Conference on Computer and Communications Security 1998: 150-158
12		Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley: Pruning Decision Trees with Misclassification Costs. ECML 1998: 131-136
11		Terran Lane, Carla E. Brodley: Approaches to Online Learning and Concept Drift for User Identification in Computer Security. KDD 1998: 259-263
10		Nirav H. Kapadia, Carla E. Brodley, José A. B. Fortes, Mark S. Lundstrom: Resource-Usage Prediction for Demand-Based Network-Computing. SRDS 1998: 372-377
1997
9		Timothy M. Stough, Carla E. Brodley: Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention. KDD 1997: 255-258
8		J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff: Learning to Schedule Straight-Line Code. NIPS 1997
1996
7		Carla E. Brodley, Mark A. Friedl: Identifying and Eliminating Mislabeled Training Instances. AAAI/IAAI, Vol. 1 1996: 799-805
1995
6		Carla E. Brodley: Automatic Selection of Split Criterion during Tree Growing Based on Node Location. ICML 1995: 73-80
5		Carla E. Brodley, Paul E. Utgoff: Multivariate Decision Trees. Machine Learning 19(1): 45-77 (1995)
4		Carla E. Brodley: Recursive Automatic Bias Selection for Classifier Construction. Machine Learning 20(1-2): 63-94 (1995)
1994
3	EE	Bruce A. Draper, Carla E. Brodley, Paul E. Utgoff: Goal-Directed Classification Using Linear Machine Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 888-893 (1994)
1993
2		Carla E. Brodley: Automatic Algorith/Model Class Selection. ICML 1993: 17-24
1990
1		Paul E. Utgoff, Carla E. Brodley: An Incremental Method for Finding Multivariate Splits for Decision Trees. ML 1990: 58-65

Coauthor Index

1	M. Aernecke	[51]
2	Alex M. Aisen	[15] [20] [32]
3	Ruzena Bajcsy	[37]
4	Terry Benzel	[37]
5	Matt Bishop	[37]
6	Robert Braden	[37]
7	Jeffrey P. Bradford	[12] [26]
8	Arthur Brady	[52]
9	Lynn S. Broderick	[15] [19] [20] [23] [29] [30] [32]
10	Clifford Brunk	[12]
11	Serdar Cabuk	[40]
12	John Cavazos	[8]
13	Philip Chan	[41]
14	M. F. Chyan	[23]
15	Lenore Cowen	[52]
16	Andrea Pohoreckyj Danyluk	[28]
17	Bruce A. Draper	[3]
18	Jennifer G. Dy	[19] [20] [22] [25] [32] [36]
19	James P. Early	[35]
20	Sonia Fahmy	[37]
21	Xiaoli Zhang Fern	[33] [34] [39] [44]
22	Sally Floyd	[37]
23	José A. B. Fortes	[10] [18]
24	Brian Frasca	[21]
25	Mark A. Friedl	[7] [14] [44] [51]
26	W. Hardaker	[37]
27	Jahangir Hasan	[45]
28	Nigel Jacob	[49]
29	Ankit Jalote	[43] [45] [46]
30	Anthony D. Joseph	[37]
31	Avinash C. Kak (Avi Kak)	[15] [19] [20] [23] [29] [30] [32]
32	Nirav H. Kapadia	[10] [18]
33	George Kesidis	[37]
34	Ron Kohavi	[12] [21]
35	Akio Kosaka	[15]
36	Clayton Kunz	[12]
37	Benjamin A. Kuperman	[43] [46]
38	Terran Lane	[11] [13] [16] [24] [31]
39	Karl N. Levitt	[37]
40	Robert Lindell	[37]
41	Richard Lippman	[41]
42	Peng Liu	[37]
43	R. Lomasky	[51]
44	Mark S. Lundstrom	[10]
45	Sean D. MacArthur	[30]
46	Llew Mason	[21]
47	David Miller	[37]
48	J. Eliot B. Moss	[8]
49	Russ Mundy	[37]
50	Cliford Neuman	[37]
51	Ron Ostrenga	[37]
52	Hilmi Ozdoganoglu	[43] [46]
53	Christina Pavlopoulou	[23] [29]
54	Vern Paxson	[37]
55	Phillip A. Porras	[37]
56	Doina Precup	[8]
57	Maja Pusara	[38]
58	Umaa Rebbapragada	[50]
59	Catherine Rosenberg	[35] [37]
60	Shankar Sastry (Shankar S. Sastry)	[37]
61	David Scheeff	[8]
62	D. Sculley (David Sculley)	[47] [48] [52]
63	Clay Shields	[40]
64	Chi-Ren Shyu	[15] [19] [20] [23] [29]
65	Donna K. Slonim	[52]
66	Darko Stefanovic	[8]
67	Daniel F. Sterne	[37]
68	Timothy M. Stough	[9] [27]
69	J. Doug Tygar (J. D. Tygar)	[37]
70	Paul E. Utgoff	[1] [3] [5] [8]
71	T. N. Vijaykumar	[43] [45] [46]
72	Gabriel Wachman	[47]
73	D. Walt	[51]
74	Xintao Wei	[52]
75	Shyhtsun Felix Wu	[37]
76	William Yurcik	[41]
77	Zijian Zheng	[21]
78	Yuanhui Zhou	[17]

Colors in the list of coauthors