Carla E. Brodley

发表

A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes

Xintao Wei, Lenore Cowen, Carla E. Brodley, 2008, ISBRA.

Cyber defense technology networking and evaluation

Catherine Rosenberg, S. Shankar Sastry, Ruzena Bajcsy, 2004, CACM.

FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection

Carla E. Brodley, Donna K. Slonim, Keith Noto, 2012, Data Mining and Knowledge Discovery.

Dis-function: Learning distance functions interactively

Carla E. Brodley, Jingjing Liu, Remco Chang, 2012, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST).

Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints

Carla E. Brodley, Byron C. Wallace, Kelly Moran, 2014, AAAI.

Learning Policies for Local Instruction Scheduling

Carla E. Brodley, Paul E. Utgoff, Doina Precup, 1997 .

Content-based image retrieval for medical imagery

Carla E. Brodley, Avinash C. Kak, Christina Pavlopoulou, 2003, SPIE Medical Imaging.

Correlation Clustering for Learning Mixtures of Canonical Correlation Models

Carla E. Brodley, Mark A. Friedl, Xiaoli Z. Fern, 2005, SDM.

CBIR for medical images - an evaluation trial

Carla E. Brodley, Jennifer G. Dy, Avinash C. Kak, 2001, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001).

Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy pdf

Carla E. Brodley, Jennifer G. Dy, Bilal Ahmed, 2016, MLHC.

Detecting the Abnormal: Machine Learning in Computer Security

Carla E. Brodley, Terran Lane, T. Lane, 1997 .

Improving onboard analysis of Hyperion images by filtering mislabeled training data examples

Rebecca Castano, Carla E. Brodley, Umaa Rebbapragada, 2009, 2009 IEEE Aerospace conference.

Identifying Mislabeled Training Data

Carla E. Brodley, Mark A. Friedl, C. Brodley, 1999, J. Artif. Intell. Res..

An interactive framework for boundary delineation for medical CBIR

Carla E. Brodley, Avinash C. Kak, Christina Pavlopoulou, 2001, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001).

Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining

Carla E. Brodley, Joshua T. Cohen, Byron C. Wallace, 2012, Genetics in Medicine.

Challenges and Opportunities in Applied Machine Learning

Carla E. Brodley, Umaa Rebbapragada, Byron C. Wallace, 2012, AI Mag..

KDD-Cup 2000 organizers' report: peeling the onion

Carla E. Brodley, Ron Kohavi, Brian Frasca, 2000, SKDD.

Machine learning techniques for the computer security domain of anomaly detection

Carla E. Brodley, Terran Lane, T. Lane, 2000 .

A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines

Carla E. Brodley, Jennifer G. Dy, Bilal Ahmed, 2016, KDD.

Finding anomalous periodic time series

Pavlos Protopapas, Carla E. Brodley, Umaa Rebbapragada, 2009, Machine Learning.

Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients

Carla E. Brodley, Jingjing Liu, Brian C. Healy, 2015, Artif. Intell. Medicine.

Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images

Carla E. Brodley, Jennifer G. Dy, Avinash C. Kak, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Advances in online learning-based spam filtering

Carla E. Brodley, D. Sculley, D. Sculley, 2008 .

Maximizing land cover classification accuracies produced by decision trees at continental to global scales

Alan H. Strahler, Carla E. Brodley, Mark A. Friedl, 1999, IEEE Trans. Geosci. Remote. Sens..

Human-in-the-loop applied machine learning

Carla E. Brodley, 2017, BigData.

Active Class Selection

Carla E. Brodley, Mark A. Friedl, Rachel Lomasky, 2007, ECML.

Semi-automated screening of biomedical citations for systematic reviews

Carla E. Brodley, Byron C. Wallace, Christopher H. Schmid, 2010, BMC Bioinformatics.

Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars pdf

Pavlos Protopapas, Carla E. Brodley, Umaa Rebbapragada, 2009, arXiv.org.

Proceedings of the Eighteenth International Conference on Machine Learning

Carla E. Brodley, Andrea Danyluk, C. Brodley, 2001 .

Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients

Carla E. Brodley, Bilal Ahmed, Orrin Devinsky, 2016, J. Mach. Learn. Res..

Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients

Carla E. Brodley, Jennifer G. Dy, Brian C. Healy, 2015, 2015 IEEE International Conference on Data Mining.

An Incremental Method for Finding Multivariate Splits for Decision Trees

Carla E. Brodley, Paul E. Utgoff, P. Utgoff, 1990, ML.

Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database

Carla E. Brodley, Chi-Ren Shyu, Avinash C. Kak, 2002, Comput. Vis. Image Underst..

The customized-queries approach to CBIR using EM

Carla E. Brodley, Chi-Ren Shyu, Jennifer G. Dy, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Modeling annotation time to reduce workload in comparative effectiveness reviews

Carla E. Brodley, Byron C. Wallace, Joseph Lau, 2010, IHI.

Interactive Content-based Image Retrieval Using Relevance Feedback

Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, 2002 .

Class Noise Mitigation Through Instance Weighting

Carla E. Brodley, Umaa Rebbapragada, C. Brodley, 2007, ECML.

An examination of user behavior for user re-authentication

Carla E. Brodley, Eugene H. Spafford, Maja Pusara, 2007 .

Focusing attention on objects of interest using multiple matched filters

Carla E. Brodley, Timothy M. Stough, 2001, IEEE Trans. Image Process..

Detection and prevention of stack buffer overflow attacks

Carla E. Brodley, T. N. Vijaykumar, Benjamin A. Kuperman, 2005, CACM.

Proceedings of the twenty-first international conference on Machine learning

Carla E. Brodley, C. Brodley, 2004, International Conference on Machine Learning.

Heat stroke: power-density-based denial of service in SMT

Carla E. Brodley, T. N. Vijaykumar, Jahangir Hasan, 2005, 11th International Symposium on High-Performance Computer Architecture.

Learning to Schedule Straight-Line Code

Carla E. Brodley, Paul E. Utgoff, Doina Precup, 1997, NIPS.

Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data

Carla E. Brodley, Terran Lane, T. Lane, 2000, ICML.

A Web-based CBIR-assisted learning tool for radiology education-anytime and anyplace

Carla E. Brodley, Chi-Ren Shyu, Avinash C. Kak, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Machine Learning : proceedings of the Eighteenth International Conference (ICML 2001), Williams College, June 28- July 1, 2001

Carla E. Brodley, Andrea Danyluk, C. Brodley, 2001 .

Active learning for biomedical citation screening

Carla E. Brodley, Byron C. Wallace, Kevin Small, 2010, KDD.

Offloading IDS Computation to the GPU

Carla E. Brodley, Nigel Jacob, C. Brodley, 2006, 2006 22nd Annual Computer Security Applications Conference (ACSAC'06).

Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision

Carla E. Brodley, Chi-Ren Shyu, Jennifer G. Dy, 1999, AAAI/IAAI.

Active Label Correction

Carla E. Brodley, Umaa Rebbapragada, Damien Sulla-Menashe, 2012, 2012 IEEE 12th International Conference on Data Mining.

Resource-usage prediction for demand-based network-computing

Carla E. Brodley, José A. B. Fortes, Nirav H. Kapadia, 1998, Proceedings Seventeenth IEEE Symposium on Reliable Distributed Systems (Cat. No.98CB36281).

Feature Subset Selection and Order Identification for Unsupervised Learning

Carla E. Brodley, Jennifer G. Dy, C. Brodley, 2000, ICML.

IP Covert Timing Channels: An Initial Exploration

Carla E. Brodley, Serdar Cabuk, 2004 .

The Constrained Weight Space SVM: Learning with Ranked Features

Carla E. Brodley, Byron C. Wallace, Kevin Small, 2011, ICML.

Generating High-Quality Training Data for Automated Land-Cover Mapping

Carla E. Brodley, Umaa Rebbapragada, Mark A. Friedl, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Special issue on the eighteenth international conference on machine learning (icml2001)

Carla E. Brodley, Andrea Danyluk, 2003 .

DETECTION AND PREVENTION OF STACK BUFFER OVERFLOW

Carla E. Brodley, T. N. Vijaykumar, Hilmi Ozdoganoglu, 2005 .

Solving cluster ensemble problems by bipartite graph partitioning

Carla E. Brodley, Xiaoli Z. Fern, C. Brodley, 2004, ICML.

Multivariate decision trees

Carla E. Brodley, Paul E. Utgoff, P. Utgoff, 2004, Machine Learning.

Who Should Label What? Instance Allocation in Multiple Expert Active Learning

Carla E. Brodley, Byron C. Wallace, Kevin Small, 2011, SDM.

Visualization and interactive feature selection for unsupervised data

Carla E. Brodley, Jennifer G. Dy, C. Brodley, 2000, KDD '00.

Recursive automatic algorithm selection for inductive learning

Carla E. Brodley, 1995 .

Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients

Carla E. Brodley, Brian C. Healy, Yijun Zhao, 2014, SDM.

Event Discovery in Astronomical Time Series

Pavlos Protopapas, Carla E. Brodley, David Seth Preston, 2009 .

Recursive automatic bias selection for classifier construction

Carla E. Brodley, C. Brodley, 1995, Machine Learning.

Testing for human perceptual categories in a physician-in-the-loop CBIR system for medical imagery

Carla E. Brodley, Chi-Ren Shyu, Avinash C. Kak, 1999, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL'99).

Identifying and Eliminating Mislabeled Training Instances

Carla E. Brodley, Mark A. Friedl, C. Brodley, 1996, AAAI/IAAI, Vol. 1.

The Effect of Instance-Space Partition on Significance

Carla E. Brodley, Jeffrey P. Bradford, C. Brodley, 2001, Machine Learning.

Compression and machine learning: a new perspective on feature space vectors

Carla E. Brodley, D. Sculley, D. Sculley, 2006, Data Compression Conference (DCC'06).

SmashGuard: A Hardware Solution to Prevent Security Attacks on the Function Return Address

Carla E. Brodley, T. N. Vijaykumar, Benjamin A. Kuperman, 2006, IEEE Transactions on Computers.

Evaluation methods for internet security technology

Catherine Rosenberg, Carla E. Brodley, Chris Kanich, 2004 .

Discovering arbitrary event types in time series

Pavlos Protopapas, Carla E. Brodley, Dan Preston, 2009, Stat. Anal. Data Min..

Boosting Lazy Decision Trees

Carla E. Brodley, Xiaoli Z. Fern, C. Brodley, 2003, ICML.

Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention

Carla E. Brodley, Timothy M. Stough, 1997, KDD.

Approaches to Online Learning and Concept Drift for User Identification in Computer Security

Carla E. Brodley, Terran Lane, T. Lane, 1998, KDD.

ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases

Carla E. Brodley, Chi-Ren Shyu, Avinash C. Kak, 1999, Comput. Vis. Image Underst..

Temporal sequence learning and data reduction for anomaly detection

Carla E. Brodley, Terran Lane, T. Lane, 1998, CCS '98.

Class Imbalance, Redux

Carla E. Brodley, Byron C. Wallace, Kevin Small, 2011, 2011 IEEE 11th International Conference on Data Mining.

An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection

Carla E. Brodley, Terran Lane, T. Lane, 2003, Machine Learning.

Event Discovery in Time Series

Pavlos Protopapas, Carla E. Brodley, Dan Preston, 2009, SDM.

Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface

Carla E. Brodley, Damien Sulla-Menashe, Mark A. Friedl, 2010, KDD.

Removing Confounding Factors via Constraint Based Clustering: An Application to Finding Homogeneous Groups of Multiple Sclerosis Patients

Carla E. Brodley, Jingjing Liu, Brian C. Healy, 2013, 2013 IEEE International Conference on Healthcare Informatics.

Automatic Algorith/Model Class Selection

Carla E. Brodley, C. Brodley, 1993, International Conference on Machine Learning.

Pruning Decision Trees with Misclassification Costs

Carla E. Brodley, Ron Kohavi, Clayton Kunz, 1998, ECML.

Dynamic Recursive Model Class Selection for Classifier Construction

Carla E. Brodley, Paul E. Utgoff, P. Utgoff, 1994 .

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr

Carla E. Brodley, Byron C. Wallace, Joseph Lau, 2012, IHI '12.

Goal-Directed Classification Using Linear Machine Decision Trees

Bruce A. Draper, Carla E. Brodley, Paul E. Utgoff, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

ASSERT: A PHYSICIAN-IN-THE-LOOP CONTENT-BASED IMAGE RETRIEVAL SYSTEM FOR HRCT IMAGE DATABASES

Carla E. Brodley, Chi-Ren Shyu, Avinash C. Kak, 1999 .

A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions

Carla E. Brodley, Jennifer G. Dy, Yijun Zhao, 2020, EDM.

Knowledge discovery and data mining

Carla E. Brodley, Terran Lane, Timothy M. Stough, 1999 .

IP covert timing channels: design and detection

Carla E. Brodley, Clay Shields, Serdar Cabuk, 2004, CCS '04.

Anomaly Detection Using an Ensemble of Feature Models

Carla E. Brodley, Donna K. Slonim, Keith Noto, 2010, 2010 IEEE International Conference on Data Mining.

Applying classification algorithms in practice

Carla E. Brodley, Padhraic Smyth, Padhraic Smyth, 1997, Stat. Comput..

Knowledge Discovery and Data Mining Computers taught to discern patterns, detect anomalies and apply decision algorithms can help secure computer systems and find volcanoes on Venus

Carla E. Brodley, Terran Lane, Timothy M. Stough, 2016 .

A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms

Carla E. Brodley, Yuanhui Zhou, C. Brodley, 1999, ICML.

Linear Machine Decision Trees

Carla E. Brodley, Paul E. Utgoff, P. Utgoff, 1991 .

IP Covert Channel Detection

Carla E. Brodley, Clay Shields, Serdar Cabuk, 2009, TSEC.

Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations

Carla E. Brodley, Bilal Ahmed, Orrin Devinsky, 2014, ICML.

Knowledge discovery and data mining cup part of SIGKDD 2000

Carla E. Brodley, Ron Kohavi, Ron Kohavi, 2000 .

Addressing the Selective Superiority Problem: Automatic Algorithm/Model Class Selection

Carla E. Brodley, C. Brodley, 1993 .

Automatic Selection of Split Criterion during Tree Growing Based on Node Location

Carla E. Brodley, C. Brodley, 1995, ICML.

Machine learning in health informatics: making better use of domain experts

Carla E. Brodley, Byron C. Wallace, C. Brodley, 2012 .

Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers

Carla E. Brodley, D. Sculley, Gabriel Wachman, 2006, TREC.

Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach

Carla E. Brodley, Xiaoli Z. Fern, C. Brodley, 2003, ICML.

Local versus global features for content-based image retrieval

Carla E. Brodley, Chi-Ren Shyu, Avinash C. Kak, 1998, Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173).

Behavioral Features for Network Anomaly Detection

Carla E. Brodley, James P. Early, C. Brodley, 2006 .

Behavioral authentication of server flows

Catherine Rosenberg, Carla E. Brodley, James P. Early, 2003, 19th Annual Computer Security Applications Conference, 2003. Proceedings..

Integration of domain knowledge in the form of ancillary map data into supervised classification of remotely sensed data

Carla E. Brodley, Mark A. Friedl, Douglas K. McIver, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security

Philip K. Chan, Carla E. Brodley, Bill Yurcik, 2004, CCS 2004.

Predictive application-performance modeling in a computational grid environment

Carla E. Brodley, José A. B. Fortes, Nirav H. Kapadia, 1999, Proceedings. The Eighth International Symposium on High Performance Distributed Computing (Cat. No.99TH8469).

Improving automated land cover mapping by identifying and eliminating mislabeled observations from training data

Carla E. Brodley, Mark A. Friedl, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

CSAX: Characterizing Systematic Anomalies in eXpression Data

Carla E. Brodley, Donna K. Slonim, Keith Noto, 2014, RECOMB.

Feature Selection for Unsupervised Learning

Carla E. Brodley, Jennifer G. Dy, C. Brodley, 2004, J. Mach. Learn. Res..

Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004

Carla E. Brodley, 2004, ICML.

Workshop on Visualization and Data Mining for Computer Security (VizSEC/DMSEC 2004), 29 October 2004, Washington DC, USA

William Yurcik, Carla E. Brodley, Richard Lippman, 2004, VizSEC/DMSEC.

Customized-queries approach to CBIR

Carla E. Brodley, Chi-Ren Shyu, Jennifer G. Dy, 1998, Electronic Imaging.