Carla E. Brodley

	2012
69		Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos: Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. IHI 2012: 819-824
68		Keith Noto, Carla E. Brodley, Donna K. Slonim: FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection. Data Min. Knowl. Discov. 25(1): 109-133 (2012)
	2011
67		Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos: Class Imbalance, Redux. ICDM 2011: 754-763
66		Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos: The Constrained Weight Space SVM: Learning with Ranked Features. ICML 2011: 865-872
65		Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos: Who Should Label What? Instance Allocation in Multiple Expert Active Learning. SDM 2011: 176-187
64		Carla E. Brodley, Mark A. Friedl: Identifying Mislabeled Training Data CoRR abs/1106.0219: (2011)
	2010
63		Keith Noto, Carla E. Brodley, Donna K. Slonim: Anomaly Detection Using an Ensemble of Feature Models. ICDM 2010: 953-958
62		Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos: Modeling annotation time to reduce workload in comparative effectiveness reviews. IHI 2010: 28-35
61		Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos: Active learning for biomedical citation screening. KDD 2010: 173-182
60		Dan Preston, Carla E. Brodley, Roni Khardon, Damien Sulla-Menashe, Mark A. Friedl: Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface. KDD 2010: 823-832
59		Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau, Carla E. Brodley, Christopher H. Schmid: Semi-automated screening of biomedical citations for systematic reviews. BMC Bioinformatics 11: 55 (2010)
	2009
58		Dan Preston, Pavlos Protopapas, Carla E. Brodley: Event Discovery in Time Series. SDM 2009: 61-72
57		Serdar Cabuk, Carla E. Brodley, Clay Shields: IP Covert Channel Detection. ACM Trans. Inf. Syst. Secur. 12(4): (2009)
56		Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock: Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars CoRR abs/0905.3428: (2009)
55		Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock: Finding anomalous periodic time series. Machine Learning 74(3): 281-313 (2009)
54		Dan Preston, Pavlos Protopapas, Carla E. Brodley: Discovering arbitrary event types in time series. Statistical Analysis and Data Mining 2(5-6): 396-411 (2009)
	2008
53		Umaa Rebbapragada, Rachel Lomasky, Carla E. Brodley, Mark A. Friedl: Generating High-Quality Training Data for Automated Land-Cover Mapping. IGARSS (4) 2008: 546-548
52		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		Rachel Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl: Active Class Selection. ECML 2007: 640-647
50		Umaa Rebbapragada, Carla E. Brodley: Class Noise Mitigation Through Instance Weighting. ECML 2007: 708-715
	2006
49		Nigel Jacob, Carla E. Brodley: Offloading IDS Computation to the GPU. ACSAC 2006: 371-380
48		D. Sculley, Carla E. Brodley: Compression and Machine Learning: A New Perspective on Feature Space Vectors. DCC 2006: 332-332
47		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		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		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		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 Lippmann, William Yurcik: Workshop on Visualization and Data Mining for Computer Security (VizSEC/DMSEC 2004), 29 October 2004, Washington DC, USA ACM 2004
40		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		Xiaoli Zhang Fern, Carla E. Brodley: Solving cluster ensemble problems by bipartite graph partitioning. ICML 2004
38		Maja Pusara, Carla E. Brodley: User re-authentication via mouse movements. VizSEC 2004: 1-8
37		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		Jennifer G. Dy, Carla E. Brodley: Feature Selection for Unsupervised Learning. Journal of Machine Learning Research 5: 845-889 (2004)
	2003
35		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		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		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		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		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		Jennifer G. Dy, Carla E. Brodley: Visualization and interactive feature selection for unsupervised data. KDD 2000: 360-364
21		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		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		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		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		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		Carla E. Brodley, Mark A. Friedl: Identifying Mislabeled Training Data. J. Artif. Intell. Res. (JAIR) 11: 131-167 (1999)
	1998
13		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		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	Charles R. Alcock	[55] [56]
4	Ruzena Bajcsy	[37]
5	Terry Benzel	[37]
6	Matt Bishop	[37]
7	Robert Braden	[37]
8	Jeffrey P. Bradford	[12] [26]
9	Arthur Brady	[52]
10	Lynn S. Broderick	[15] [19] [20] [23] [29] [30] [32]
11	Clifford Brunk	[12]
12	Serdar Cabuk	[40] [57]
13	John Cavazos	[8]
14	Philip Chan	[41]
15	M. F. Chyan	[23]
16	Lenore Cowen (Lenore J. Cowen)	[52]
17	Andrea Pohoreckyj Danyluk	[28]
18	Bruce A. Draper	[3]
19	Jennifer G. Dy	[19] [20] [22] [25] [32] [36]
20	James P. Early	[35]
21	Sonia Fahmy	[37]
22	Xiaoli Z. Fern (Xiaoli Fern, Xiaoli Zhang Fern)	[33] [34] [39] [44]
23	Sally Floyd	[37]
24	José A. B. Fortes	[10] [18]
25	Brian Frasca	[21]
26	Mark A. Friedl	[7] [14] [44] [51] [53] [60] [64]
27	W. Hardaker	[37]
28	Jahangir Hasan	[45]
29	Nigel Jacob	[49]
30	Ankit Jalote	[43] [45] [46]
31	Anthony D. Joseph	[37]
32	Avinash C. Kak (Avi Kak)	[15] [19] [20] [23] [29] [30] [32]
33	Nirav H. Kapadia	[10] [18]
34	George Kesidis	[37]
35	Roni Khardon	[60]
36	Ron Kohavi	[12] [21]
37	Akio Kosaka	[15]
38	Clayton Kunz	[12]
39	Benjamin A. Kuperman	[43] [46]
40	Terran Lane	[11] [13] [16] [24] [31]
41	Joseph Lau	[59] [62] [69]
42	Karl N. Levitt	[37]
43	Robert Lindell	[37]
44	Richard Lippmann (Richard P. Lippmann)	[41]
45	Peng Liu	[37]
46	Rachel Lomasky	[51] [53]
47	Mark S. Lundstrom	[10]
48	Sean D. MacArthur	[30]
49	Llew Mason	[21]
50	David Miller	[37]
51	J. Eliot B. Moss	[8]
52	Russ Mundy	[37]
53	Cliford Neuman	[37]
54	Keith Noto	[63] [68]
55	Ron Ostrenga	[37]
56	Hilmi Ozdoganoglu	[43] [46]
57	Christina Pavlopoulou	[23] [29]
58	Vern Paxson	[37]
59	Phillip A. Porras	[37]
60	Doina Precup	[8]
61	Dan Preston	[54] [58] [60]
62	Pavlos Protopapas	[54] [55] [56] [58]
63	Maja Pusara	[38]
64	Umaa Rebbapragada	[50] [53] [55] [56]
65	Catherine Rosenberg	[35] [37]
66	Shankar Sastry (Shankar S. Sastry)	[37]
67	David Scheeff	[8]
68	Christopher H. Schmid	[59]
69	D. Sculley (David Sculley)	[47] [48] [52]
70	Clay Shields	[40] [57]
71	Chi-Ren Shyu	[15] [19] [20] [23] [29]
72	Donna K. Slonim	[52] [63] [68]
73	Kevin Small	[61] [62] [65] [66] [67] [69]
74	Darko Stefanovic	[8]
75	Daniel F. Sterne	[37]
76	Timothy M. Stough	[9] [27]
77	Damien Sulla-Menashe	[60]
78	Thomas A. Trikalinos	[59] [61] [62] [65] [66] [67] [69]
79	J. Doug Tygar (J. D. Tygar)	[37]
80	Paul E. Utgoff	[1] [3] [5] [8]
81	T. N. Vijaykumar	[43] [45] [46]
82	Gabriel Wachman	[47]
83	Byron C. Wallace	[59] [61] [62] [65] [66] [67] [69]
84	D. Walt	[51]
85	Xintao Wei	[52]
86	Shyhtsun Felix Wu	[37]
87	William Yurcik	[41]
88	Zijian Zheng	[21]
89	Yuanhui Zhou	[17]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page