Carla Brodley

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Terran LaneProfessor of Computer Science, University of New MexicoVerified email at cs.unm.edu
Byron WallaceAssociate Professor, Northeastern UniversityVerified email at ccs.neu.edu
Chi-Ren ShyuShumaker Professor of Engineering, Director of Institute for Data Science and InformaticsVerified email at missouri.edu
Thomas TrikalinosHealth Services, Policy & PracticeVerified email at brown.edu
Kevin SmallPrincipal Applied Scientist, AmazonVerified email at amazon.com
Xiaoli FernOregon State UniversityVerified email at eecs.oregonstate.edu
T. N. VijaykumarProfessor of ECE, PurdueVerified email at ecn.purdue.edu
Ron KohaviTechnical Fellow and Vice President, Analysis and Experimentation, MicrosoftVerified email at microsoft.com
Joseph LauBrown UniversityVerified email at brown.edu
Donna SlonimProfessor, Computer Science, Tufts University; Genetics, Grad. School of Biomedical SciencesVerified email at tufts.edu
Alan MarchioriAssociate Professor of Computer Science & Associate Professor of Electrical and Computer EngineeringVerified email at bucknell.edu
Catherine RosenbergUniversity of WaterlooVerified email at ece.uwaterloo.ca
Llew MasonAmazonVerified email at amazon.com
Jose FortesUniversity of FloridaVerified email at ufl.edu
Clayton KunzResearch Engineer, Woods Hole Oceanographic InstitutionVerified email at whoi.edu
Padhraic SmythProfessor, Computer Science, University of California IrvineVerified email at ics.uci.edu
Remco ChangAssociate Professor, Tufts UniversityVerified email at cs.tufts.edu
Eli T. BrownAssociate Professor, DePaul UniversityVerified email at depaul.edu
Bruce DraperProfessor of Computer Science, Colorado State UniversityVerified email at cs.colostate.edu
John CavazosAssistant ProfessorVerified email at udel.edu

Carla Brodley

Northeastern University

Verified email at neu.edu - Homepage

Machine Learning Data Mining Predictive Medicine


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Decision tree classification of land cover from remotely sensed data MA Friedl, CE Brodley Remote sensing of environment 61 (3), 399-409, 1997	2021	1997
Feature selection for unsupervised learning JG Dy, CE Brodley Journal of machine learning research 5 (Aug), 845-889, 2004	1324	2004
Identifying mislabeled training data CE Brodley, MA Friedl Journal of artificial intelligence research 11, 131-167, 1999	1094	1999
Random projection for high dimensional data clustering: A cluster ensemble approach XZ Fern, CE Brodley Proceedings of the 20th international conference on machine learning (ICML …, 2003	849	2003
Temporal sequence learning and data reduction for anomaly detection T Lane, CE Brodley ACM Transactions on Information and System Security (TISSEC) 2 (3), 295-331, 1999	784	1999
Solving cluster ensemble problems by bipartite graph partitioning XZ Fern, CE Brodley Proceedings of the twenty-first international conference on Machine learning, 36, 2004	728	2004
Multivariate decision trees CE Brodley, PE Utgoff Machine learning 19, 45-77, 1995	698	1995
IP covert timing channels: design and detection S Cabuk, CE Brodley, C Shields Proceedings of the 11th ACM conference on Computer and communications …, 2004	629	2004
ASSERT: A physician-in-the-loop content-based retrieval system for HRCT image databases CR Shyu, CE Brodley, AC Kak, A Kosaka, AM Aisen, LS Broderick Computer vision and image understanding 75 (1-2), 111-132, 1999	563	1999
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr BC Wallace, K Small, CE Brodley, J Lau, TA Trikalinos Proceedings of the 2nd ACM SIGHIT international health informatics symposium …, 2012	488	2012
Maximizing land cover classification accuracies produced by decision trees at continental to global scales MA Friedl, CE Brodley, AH Strahler IEEE Transactions on Geoscience and Remote Sensing 37 (2), 969-977, 1999	464	1999
User re-authentication via mouse movements M Pusara, CE Brodley Proceedings of the 2004 ACM workshop on Visualization and data mining for …, 2004	408	2004
Feature subset selection and order identification for unsupervised learning JG Dy, CE Brodley ICML, 247-254, 2000	379	2000
An application of machine learning to anomaly detection T Lane, CE Brodley Proceedings of the 20th national information systems security conference 377 …, 1997	340	1997
KDD-Cup 2000 organizers' report: Peeling the onion R Kohavi, CE Brodley, B Frasca, L Mason, Z Zheng Acm Sigkdd Explorations Newsletter 2 (2), 86-93, 2000	331	2000
Identifying and eliminating mislabeled training instances CE Brodley, MA Friedl Proceedings of the National Conference on Artificial Intelligence, 799-805, 1996	324	1996
Unsupervised feature selection applied to content-based retrieval of lung images JG Dy, CE Brodley, A Kak, LS Broderick, AM Aisen IEEE transactions on pattern analysis and machine intelligence 25 (3), 373-378, 2003	322	2003
Semi-automated screening of biomedical citations for systematic reviews BC Wallace, TA Trikalinos, J Lau, C Brodley, CH Schmid BMC bioinformatics 11 (1), 1-11, 2010	308	2010
Sequence matching and learning in anomaly detection for computer security T Lane, CE Brodley AAAI Workshop: AI Approaches to Fraud Detection and Risk Management, 43-49, 1997	295	1997
Pruning decision trees with misclassification costs JP Bradford, C Kunz, R Kohavi, C Brunk, CE Brodley Machine Learning: ECML-98: 10th European Conference on Machine Learning …, 1998	293	1998

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