C. Brodley

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).

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

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

The Effect of Instance-Space Partition on Significance

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

Temporal sequence learning and data reduction for anomaly detection

TERRAN LANE, CARLA E. BRODLEY, T. Lane, 1999, TSEC.

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.

Comparison of Regression Methods Symbolic Induction Methods and Neural Networks in Morbidity Diagnosis and Mortality Prediction in Equine Gastrointestinal Colic

C. Brodley, Tuomas Sandholm, M. Sandholm, 1993 .

Multivariate decision trees

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

Linear Machine Decision Trees

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

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.

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

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

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..

Goal-Directed Classification Using Linear Machine Decision Trees

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

New approaches to classification in remote sensing using homogeneous and hybrid decision trees to map land cover

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

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.

Applying classification algorithms in practice

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

Class Imbalance, Redux

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

Active Label Correction

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

Challenges and Opportunities in Applied Machine Learning

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

Class Noise Mitigation Through Instance Weighting

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

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..

IP covert timing channels: design and detection

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

Active learning for biomedical citation screening

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

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

Carla E. Brodley, C. Brodley, 1993 .

Content-based image retrieval for medical imagery

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

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).

Visualization and interactive feature selection for unsupervised data

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

An examination of user behavior for user re-authentication

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

Behavioral feature extraction for network anomaly detection

Eugene H. Spafford, Carla E. Brodley, James P. Early, 2005 .

Pruning Decision Trees with Misclassification Costs

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

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

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

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.

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.

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

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

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.

Active Literature Discovery for Scoping Evidence Reviews How Many Needles are There

Carla E. Brodley, Byron C. Wallace, Thomas A Trikalinos, 2013 .

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

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

Clinical vestibular testing assessed with machine-learning algorithms.

Richard F. Lewis, C. Brodley, A. Priesol, 2015, JAMA otolaryngology-- head & neck surgery.

Dis-function: Learning distance functions interactively

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

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

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

Behavioral authentication of server flows

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

Advances in online learning-based spam filtering

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

Correlation Clustering for Learning Mixtures of Canonical Correlation Models

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

Behavioral Features for Network Anomaly Detection

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

Proceedings of the Eighteenth International Conference on Machine Learning

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

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

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

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

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

Knowledge Discovery and Data Mining

C. Brodley, Terran Lane, Timothy M. Stough, 1999, American Scientist.

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).

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

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

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 .

The Constrained Weight Space SVM: Learning with Ranked Features

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

Multivariate Decision Trees

P. Utgoff, C. Brodley, 1995, Machine Learning.

Machine learning techniques for the computer security domain of anomaly detection

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

IP Covert Channel Detection

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

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.

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).