Carla E. Brodley

112 papers A* 29A 9B 4C 3Journal 40Unranked 27
YearRankTypeTitle / Venue / Authors
2026 — conf
Creating a Second Pathway to the Computing Major.
SIGCSE (1)
Ashley Pang, Paea LePendu, Mariam Salloum, Neftali Watkinson Medina, Carla E. Brodley
2025 — conf
Does Reducing Curricular Complexity Impact Student Success in Computer Science?
SIGCSE (1)
Sumukhi Ganesan, Albert Lionelle, Catherine Gill, Carla E. Brodley
2025 A* conf
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals.
ICLR
Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau
2025 — conf
Student Application Trends for Teaching Assistant Positions.
SIGCSE (1)
Felix Muzny, Abdulaziz Arif Suria, Carla E. Brodley
2024 J jnl
ACM 2023: CS + X - Challenges and Opportunities in Developing Interdisciplinary-Computing Curricula.
Inroads
Carla E. Brodley, Valerie Barr, Elsa Gunter, Mark Guzdial, Ran Libeskind-Hadas, Bill Z. Manaris
2024 J jnl
An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities.
Commun. ACM
Carla E. Brodley, McKenna Quam, Mark Allen Weiss
2024 J jnl
An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities.
CoRR
Carla E. Brodley, McKenna Quam, Mark Allen Weiss
2024 — conf
Collecting, Analyzing, and Acting on Intersectional, Longitudinal Data and Pass/Fail/Withdraw Rates in Computing Courses.
SIGCSE (1)
Felix Muzny, Megan Giordano, Emma Sommers, Carla E. Brodley
2024 — conf
Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates?
SIGCSE (1)
Albert Lionelle, McKenna Quam, Carla E. Brodley, Catherine Gill
2024 J jnl
NNsight and NDIF: Democratizing Access to Foundation Model Internals.
CoRR
Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau
2024 — conf
Re-making CS Departments for Generation CS.
SIGCSE (2)
Kathleen J. Lehman, Carla E. Brodley, Mark Guzdial, Paul Tymann, Aman Yadav
2024 J jnl
The BPC Relevance of Common Assessment in the Introductory Sequence.
Commun. ACM
Carla E. Brodley, Catherine Gill
2024 J jnl
Visualizing Progress in Broadening Participation in Computing: The Value of Context.
Commun. ACM
Valerie Barr, Carla E. Brodley, Manuel A. Pérez-Quiñones
2024 J jnl
Visualizing Progress in Broadening Participation in Computing: The Value of Context.
CoRR
Valerie Barr, Carla E. Brodley, Manuel A. Pérez-Quiñones
2022 — conf
Broadening Participation in Computing via Ubiquitous Combined Majors (CS+X).
SIGCSE (1)
Carla E. Brodley, Benjamin J. Hescott, Jessica Biron, Ali Ressing, Melissa Peiken, Sarah Maravetz, Alan Mislove
2022 — conf
Interdisciplinary Computing Majors (CS+X): Making it work at your University.
SIGCSE (2)
Carla E. Brodley, Valerie Barr
2022 J jnl
Why universities must resist GPA-based enrollment caps in the face of surging enrollments.
Commun. ACM
Carla E. Brodley
2021 — conf
Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing's Site Visits.
RESPECT
Carla E. Brodley, Catherine Gill, Sally Wynn
2020 B conf
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions.
EDM
Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley
2020 A conf
An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS.
SIGCSE
Carla E. Brodley, Megan Barry, Aidan Connell, Catherine Gill, Ian Gorton, Benjamin Hescott, Bryan Lackaye, Cynthia LuBien, Leena Razzaq, Amit Shesh, Tiffani L. Williams, Andrea Pohoreckyj Danyluk
2020 — conf
The MSCS New Pathways Consortium - a National Invitation.
RESPECT
Carla E. Brodley, Jan Cuny
2019 J jnl
GOTO rankings considered helpful.
Commun. ACM
Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Kuansan Wang, Lexing Xie
2018 J jnl
GOTO Rankings Considered Helpful.
CoRR
Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Lexing Xie
2017 — conf
Human-in-the-loop applied machine learning.
IEEE BigData
Carla E. Brodley
2016 A* conf
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines.
KDD
Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky
2016 J jnl
Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients.
J. Mach. Learn. Res.
Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Carla E. Brodley
2016 — conf
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy.
MLHC
Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley
2016 J jnl
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy.
CoRR
Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley
2015 A* conf
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients.
ICDM
Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley
2015 J jnl
Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients.
Artif. Intell. Medicine
Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis
2014 A conf
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients.
SDM
Yijun Zhao, Carla E. Brodley, Tanuja Chitnis, Brian C. Healy
2014 B conf
CSAX: Characterizing Systematic Anomalies in eXpression Data.
RECOMB
Keith Noto, Carla E. Brodley, Saeed Majidi, Diana W. Bianchi, Donna K. Slonim
2014 A* conf
Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints.
AAAI
Kelly Moran, Byron C. Wallace, Carla E. Brodley
2014 A* conf
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations.
ICML
Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Yijun Zhao, Orrin Devinsky, Ruben Kuzniecky, Carla E. Brodley
2014 A* ed.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada.
AAAI
Carla E. Brodley, Peter Stone
2013 — conf
Removing Confounding Factors via Constraint Based Clustering: An Application to Finding Homogeneous Groups of Multiple Sclerosis Patients.
ICHI
Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis
2012 A* conf
Active Label Correction.
ICDM
Umaa Rebbapragada, Carla E. Brodley, Damien Sulla-Menashe, Mark A. Friedl
2012 J jnl
Challenges and Opportunities in Applied Machine Learning.
AI Mag.
Carla E. Brodley, Umaa Rebbapragada, Kevin Small, Byron C. Wallace
2012 — conf
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr.
IHI
Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos
2012 — conf
Dis-function: Learning distance functions interactively.
IEEE VAST
Eli T. Brown, Jingjing Liu, Carla E. Brodley, Remco Chang
2012 J jnl
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection.
Data Min. Knowl. Discov.
Keith Noto, Carla E. Brodley, Donna K. Slonim
2011 A* conf
Class Imbalance, Redux.
ICDM
Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2011 J jnl
Identifying Mislabeled Training Data
CoRR
Carla E. Brodley, Mark A. Friedl
2011 A* conf
The Constrained Weight Space SVM: Learning with Ranked Features.
ICML
Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos
2011 A conf
Who Should Label What? Instance Allocation in Multiple Expert Active Learning.
SDM
Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2010 A* conf
Active learning for biomedical citation screening.
KDD
Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2010 A* conf
Anomaly Detection Using an Ensemble of Feature Models.
ICDM
Keith Noto, Carla E. Brodley, Donna K. Slonim
2010 — conf
Modeling annotation time to reduce workload in comparative effectiveness reviews.
IHI
Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos
2010 A* conf
Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface.
KDD
Dan Preston, Carla E. Brodley, Roni Khardon, Damien Sulla-Menashe, Mark A. Friedl
2010 J jnl
Semi-automated screening of biomedical citations for systematic reviews.
BMC Bioinform.
Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau, Carla E. Brodley, Christopher H. Schmid
2009 J jnl
Discovering arbitrary event types in time series.
Stat. Anal. Data Min.
Dan Preston, Pavlos Protopapas, Carla E. Brodley
2009 A conf
Event Discovery in Time Series.
SDM
Dan Preston, Pavlos Protopapas, Carla E. Brodley
2009 J jnl
Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars
CoRR
Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock
2009 J jnl
Finding anomalous periodic time series.
Mach. Learn.
Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock
2009 J jnl
IP Covert Channel Detection.
ACM Trans. Inf. Syst. Secur.
Serdar Cabuk, Carla E. Brodley, Clay Shields
2008 — conf
A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes.
ISBRA
Xintao Wei, Lenore Cowen, Carla E. Brodley, Arthur Brady, D. Sculley, Donna K. Slonim
2008 — conf
Generating High-Quality Training Data for Automated Land-Cover Mapping.
IGARSS (4)
Umaa Rebbapragada, Rachel Lomasky, Carla E. Brodley, Mark A. Friedl
2007 — conf
Active Class Selection.
ECML
Rachel Lomasky, Carla E. Brodley, M. Aernecke, David R. Walt, Mark A. Friedl
2007 — conf
Class Noise Mitigation Through Instance Weighting.
ECML
Umaa Rebbapragada, Carla E. Brodley
2006 B conf
Compression and Machine Learning: A New Perspective on Feature Space Vectors.
DCC
D. Sculley, Carla E. Brodley
2006 A conf
Offloading IDS Computation to the GPU.
ACSAC
Nigel Jacob, Carla E. Brodley
2006 J jnl
SmashGuard: A Hardware Solution to Prevent Security Attacks on the Function Return Address.
IEEE Trans. Computers
Hilmi Ozdoganoglu, T. N. Vijaykumar, Carla E. Brodley, Benjamin A. Kuperman, Ankit Jalote
2006 — conf
Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers.
TREC
David Sculley, Gabriel Wachman, Carla E. Brodley
2005 A conf
Correlation Clustering for Learning Mixtures of Canonical Correlation Models.
SDM
Xiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl
2005 J jnl
Detection and prevention of stack buffer overflow attacks.
Commun. ACM
Benjamin A. Kuperman, Carla E. Brodley, Hilmi Ozdoganoglu, T. N. Vijaykumar, Ankit Jalote
2005 A* conf
Heat Stroke: Power-Density-Based Denial of Service in SMT.
HPCA
Jahangir Hasan, Ankit Jalote, T. N. Vijaykumar, Carla E. Brodley
2004 C ed.
1st ACM Workshop on Visualization and Data Mining for Computer Security, VizSEC/DMSEC 2004, Washington, DC, USA, October 29, 2004
VizSEC/DMSEC
Carla E. Brodley, Philip Chan, Richard Lippmann, William Yurcik
2004 J jnl
Cyber defense technology networking and evaluation.
Commun. ACM
Ruzena Bajcsy, Terry Benzel, Matt Bishop, Robert Braden, Carla E. Brodley, Sonia Fahmy, Sally Floyd, Wes Hardaker, Anthony D. Joseph, George Kesidis, Karl N. Levitt, Robert Lindell, Peng Liu, David J. Miller, Russ Mundy, Clifford Neuman, Ron Ostrenga, Vern Paxson, Phillip A. Porras, Catherine Rosenberg, J. Doug Tygar, Shankar Sastry, Daniel F. Sterne, Shyhtsun Felix Wu
2004 J jnl
Feature Selection for Unsupervised Learning.
J. Mach. Learn. Res.
Jennifer G. Dy, Carla E. Brodley
2004 A* conf
IP covert timing channels: design and detection.
CCS
Serdar Cabuk, Carla E. Brodley, Clay Shields
2004 A* ed.
Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004
ICML
Carla E. Brodley
2004 A* conf
Solving cluster ensemble problems by bipartite graph partitioning.
ICML
Xiaoli Zhang Fern, Carla E. Brodley
2004 C conf
User re-authentication via mouse movements.
VizSEC
Maja Pusara, Carla E. Brodley
2003 J jnl
An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection.
Mach. Learn.
Terran Lane, Carla E. Brodley
2003 A conf
Behavioral Authentication of Server Flows.
ACSAC
James P. Early, Carla E. Brodley, Catherine Rosenberg
2003 A* conf
Boosting Lazy Decision Trees.
ICML
Xiaoli Zhang Fern, Carla E. Brodley
2003 A* conf
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach.
ICML
Xiaoli Zhang Fern, Carla E. Brodley
2003 J jnl
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen
2002 C conf
Integration of domain knowledge in the form of ancillary map data into supervised classification of remotely sensed data.
IGARSS
Mark A. Friedl, Douglas K. McIver, Carla E. Brodley
2002 J jnl
Interactive Content-Based Image Retrieval Using Relevance Feedback.
Comput. Vis. Image Underst.
Sean D. MacArthur, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick
2002 J jnl
Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database.
Comput. Vis. Image Underst.
Chi-Ren Shyu, Christina Pavlopoulou, Avinash C. Kak, Carla E. Brodley, Lynn S. Broderick
2001 J jnl
Focusing attention on objects of interest using multiple matched filters.
IEEE Trans. Image Process.
Timothy M. Stough, Carla E. Brodley
2001 A* ed.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001
Carla E. Brodley, Andrea Pohoreckyj Danyluk
2001 J jnl
The Effect of Instance-Space Partition on Significance.
Mach. Learn.
Jeffrey P. Bradford, Carla E. Brodley
2000 A conf
A Web-Based CBIR-Assisted Learning Tool for Radiology Education - Anytime and Anyplace.
IEEE International Conference on Multimedia and Expo (I)
Chi-Ren Shyu, Avinash C. Kak, Carla E. Brodley, Christina Pavlopoulou, M. F. Chyan, Lynn S. Broderick
2000 A* conf
Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data.
ICML
Terran Lane, Carla E. Brodley
2000 A* conf
Feature Subset Selection and Order Identification for Unsupervised Learning.
ICML
Jennifer G. Dy, Carla E. Brodley
2000 J jnl
KDD-Cup 2000 Organizers' Report: Peeling the Onion.
SIGKDD Explor.
Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng
2000 A* conf
Visualization and interactive feature selection for unsupervised data.
KDD
Jennifer G. Dy, Carla E. Brodley
1999 A* conf
A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms.
ICML
Yuanhui Zhou, Carla E. Brodley
1999 J jnl
ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases.
Comput. Vis. Image Underst.
Chi-Ren Shyu, Carla E. Brodley, Avinash C. Kak, Akio Kosaka, Alex M. Aisen, Lynn S. Broderick
1999 — conf
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision.
AAAI/IAAI
Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen
1999 — conf
Customized-queries approach to CBIR.
Storage and Retrieval for Image and Video Databases (SPIE)
Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick
1999 J jnl
Identifying Mislabeled Training Data.
J. Artif. Intell. Res.
Carla E. Brodley, Mark A. Friedl
1999 J jnl
Maximizing land cover classification accuracies produced by decision trees at continental to global scales.
IEEE Trans. Geosci. Remote. Sens.
Mark A. Friedl, Carla E. Brodley, Alan H. Strahler
1999 A conf
Predictive Application-Performance Modeling in a Computational Grid Environment.
HPDC
Nirav H. Kapadia, José A. B. Fortes, Carla E. Brodley
1999 J jnl
Temporal Sequence Learning and Data Reduction for Anomaly Detection.
ACM Trans. Inf. Syst. Secur.
Terran Lane, Carla E. Brodley
1999 A* conf
The Customized-Queries Approach to CBIR Using EM.
CVPR
Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick
1998 A* conf
Approaches to Online Learning and Concept Drift for User Identification in Computer Security.
KDD
Terran Lane, Carla E. Brodley
1998 — conf
Pruning Decision Trees with Misclassification Costs.
ECML
Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley
1998 B conf
Resource-Usage Prediction for Demand-Based Network-Computing.
SRDS
Nirav H. Kapadia, Carla E. Brodley, José A. B. Fortes, Mark S. Lundstrom
1998 A* conf
Temporal Sequence Learning and Data Reduction for Anomaly Detection.
CCS
Terran Lane, Carla E. Brodley
1997 J jnl
Applying classification algorithms in practice.
Stat. Comput.
Carla E. Brodley, Padhraic Smyth
1997 A* conf
Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention.
KDD
Timothy M. Stough, Carla E. Brodley
1997 — conf
Learning to Schedule Straight-Line Code.
NIPS
J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff
1996 — conf
Identifying and Eliminating Mislabeled Training Instances.
AAAI/IAAI, Vol. 1
Carla E. Brodley, Mark A. Friedl
1995 A* conf
Automatic Selection of Split Criterion during Tree Growing Based on Node Location.
ICML
Carla E. Brodley
1995 J jnl
Multivariate Decision Trees.
Mach. Learn.
Carla E. Brodley, Paul E. Utgoff
1995 J jnl
Recursive Automatic Bias Selection for Classifier Construction.
Mach. Learn.
Carla E. Brodley
1994 J jnl
Goal-Directed Classification Using Linear Machine Decision Trees.
IEEE Trans. Pattern Anal. Mach. Intell.
Bruce A. Draper, Carla E. Brodley, Paul E. Utgoff
1993 A* conf
Automatic Algorith/Model Class Selection.
ICML
Carla E. Brodley
1990 — conf
An Incremental Method for Finding Multivariate Splits for Decision Trees.
ML
Paul E. Utgoff, Carla E. Brodley