Carla E. Brodley

Carla E. Brodley, Umaa Rebbapragada, Kevin Small, Byron C. Wallace: Challenges and Opportunities in Applied Machine Learning. AI Magazine 33(1) (2012)

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)

Umaa Rebbapragada, Carla E. Brodley, Damien Sulla-Menashe, Mark A. Friedl: Active Label Correction. ICDM 2012: 1080-1085

Eli T. Brown, Jingjing Liu, Carla E. Brodley, Remco Chang: Dis-function: Learning distance functions interactively. IEEE VAST 2012: 83-92

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

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos: Class Imbalance, Redux. ICDM 2011: 754-763

Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos: The Constrained Weight Space SVM: Learning with Ranked Features. ICML 2011: 865-872

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

Carla E. Brodley, Mark A. Friedl: Identifying Mislabeled Training Data. CoRR abs/1106.0219 (2011)

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)

Keith Noto, Carla E. Brodley, Donna K. Slonim: Anomaly Detection Using an Ensemble of Feature Models. ICDM 2010: 953-958

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

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos: Active learning for biomedical citation screening. KDD 2010: 173-182

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

Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock: Finding anomalous periodic time series. Machine Learning 74(3): 281-313 (2009)

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)

Serdar Cabuk, Carla E. Brodley, Clay Shields: IP Covert Channel Detection. ACM Trans. Inf. Syst. Secur. 12(4) (2009)

Dan Preston, Pavlos Protopapas, Carla E. Brodley: Event Discovery in Time Series. SDM 2009: 61-72

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)

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

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

Rachel Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl: Active Class Selection. ECML 2007: 640-647

Umaa Rebbapragada, Carla E. Brodley: Class Noise Mitigation Through Instance Weighting. ECML 2007: 708-715

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)

Nigel Jacob, Carla E. Brodley: Offloading IDS Computation to the GPU. ACSAC 2006: 371-380

D. Sculley, Carla E. Brodley: Compression and Machine Learning: A New Perspective on Feature Space Vectors. DCC 2006: 332-332

David Sculley, Gabriel Wachman, Carla E. Brodley: Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers. TREC 2006

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)

Jahangir Hasan, Ankit Jalote, T. N. Vijaykumar, Carla E. Brodley: Heat Stroke: Power-Density-Based Denial of Service in SMT. HPCA 2005: 166-177

Xiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl: Correlation Clustering for Learning Mixtures of Canonical Correlation Models. SDM 2005

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 J. 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)

Jennifer G. Dy, Carla E. Brodley: Feature Selection for Unsupervised Learning. Journal of Machine Learning Research 5: 845-889 (2004)

Serdar Cabuk, Carla E. Brodley, Clay Shields: IP covert timing channels: design and detection. ACM Conference on Computer and Communications Security 2004: 178-187

Xiaoli Zhang Fern, Carla E. Brodley: Solving cluster ensemble problems by bipartite graph partitioning. ICML 2004

Maja Pusara, Carla E. Brodley: User re-authentication via mouse movements. VizSEC 2004: 1-8

Carla E. Brodley (Ed.): Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004. ACM International Conference Proceeding Series 69, ACM 2004

Carla E. Brodley, Philip Chan, Richard Lippmann, William Yurcik (Eds.): Workshop on Visualization and Data Mining for Computer Security (VizSEC/DMSEC 2004), 29 October 2004, Washington DC, USA. ACM 2004, isbn 1-58113-974-8

Terran Lane, Carla E. Brodley: An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection. Machine Learning 51(1): 73-107 (2003)

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)

James P. Early, Carla E. Brodley, Catherine Rosenberg: Behavioral Authentication of Server Flows. ACSAC 2003: 46-55

Xiaoli Zhang Fern, Carla E. Brodley: Boosting Lazy Decision Trees. ICML 2003: 178-185

Xiaoli Zhang Fern, Carla E. Brodley: Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. ICML 2003: 186-193

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)

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)

Jeffrey P. Bradford, Carla E. Brodley: The Effect of Instance-Space Partition on Significance. Machine Learning 42(3): 269-286 (2001)

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)

Carla E. Brodley, Andrea Pohoreckyj Danyluk (Eds.): Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001. Morgan Kaufmann 2001, isbn 1-55860-778-1

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)

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

Jennifer G. Dy, Carla E. Brodley: Feature Subset Selection and Order Identification for Unsupervised Learning. ICML 2000: 247-254

Terran Lane, Carla E. Brodley: Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. ICML 2000: 519-526

Jennifer G. Dy, Carla E. Brodley: Visualization and interactive feature selection for unsupervised data. KDD 2000: 360-364

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)

Carla E. Brodley, Mark A. Friedl: Identifying Mislabeled Training Data. J. Artif. Intell. Res. (JAIR) 11: 131-167 (1999)

Mark A. Friedl, Carla E. Brodley, Alan H. Strahler: Maximizing land cover classification accuracies produced by decision trees at continental to global scales. IEEE T. Geoscience and Remote Sensing 37(2): 969-977 (1999)

Terran Lane, Carla E. Brodley: Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Trans. Inf. Syst. Secur. 2(3): 295-331 (1999)

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

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

Nirav H. Kapadia, José A. B. Fortes, Carla E. Brodley: Predictive Application-Performance Modeling in a Computational Grid Environment. HPDC 1999

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-

Terran Lane, Carla E. Brodley: Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Conference on Computer and Communications Security 1998: 150-158

Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley: Pruning Decision Trees with Misclassification Costs. ECML 1998: 131-136

Terran Lane, Carla E. Brodley: Approaches to Online Learning and Concept Drift for User Identification in Computer Security. KDD 1998: 259-263

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

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

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

Carla E. Brodley, Mark A. Friedl: Identifying and Eliminating Mislabeled Training Instances. AAAI/IAAI, Vol. 1 1996: 799-805

Carla E. Brodley, Paul E. Utgoff: Multivariate Decision Trees. Machine Learning 19(1): 45-77 (1995)

Carla E. Brodley: Recursive Automatic Bias Selection for Classifier Construction. Machine Learning 20(1-2): 63-94 (1995)

Carla E. Brodley: Automatic Selection of Split Criterion during Tree Growing Based on Node Location. ICML 1995: 73-80

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)

Carla E. Brodley: Automatic Algorith/Model Class Selection. ICML 1993: 17-24

Paul E. Utgoff, Carla E. Brodley: An Incremental Method for Finding Multivariate Splits for Decision Trees. ML 1990: 58-65