An Incremental Method for Finding Multivariate Splits for Decision Trees. - Paul E. Utgoff; Carla E. Brodley (ML, 1990)

Automatic Algorith/Model Class Selection. - Carla E. Brodley (ICML, 1993)

Goal-Directed Classification Using Linear Machine Decision Trees. - Bruce A. Draper; Carla E. Brodley; Paul E. Utgoff (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Automatic Selection of Split Criterion during Tree Growing Based on Node Location. - Carla E. Brodley (ICML, 1995)

Recursive Automatic Bias Selection for Classifier Construction. - Carla E. Brodley (Mach. Learn., 1995)

Multivariate Decision Trees. - Carla E. Brodley; Paul E. Utgoff (Mach. Learn., 1995)

Identifying and Eliminating Mislabeled Training Instances. - Carla E. Brodley; Mark A. Friedl (AAAI/IAAI, Vol. 1, 1996)

Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention. - Timothy M. Stough; Carla E. Brodley (KDD, 1997)

Learning to Schedule Straight-Line Code. - J. Eliot B. Moss; Paul E. Utgoff; John Cavazos; Doina Precup; Darko Stefanovic; Carla E. Brodley; David Scheeff (NIPS, 1997)

Applying classification algorithms in practice. - Carla E. Brodley; Padhraic Smyth (Stat. Comput., 1997)

Pruning Decision Trees with Misclassification Costs. - Jeffrey P. Bradford; Clayton Kunz; Ron Kohavi; Clifford Brunk; Carla E. Brodley (ECML, 1998)

Approaches to Online Learning and Concept Drift for User Identification in Computer Security. - Terran Lane; Carla E. Brodley (KDD, 1998)

Resource-Usage Prediction for Demand-Based Network-Computing. - Nirav H. Kapadia; Carla E. Brodley; José A. B. Fortes; Mark S. Lundstrom (SRDS, 1998)

Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. - Carla E. Brodley; Avinash C. Kak; Chi-Ren Shyu; Jennifer G. Dy; Lynn S. Broderick; Alex M. Aisen (AAAI/IAAI, 1999)

The Customized-Queries Approach to CBIR Using EM. - Jennifer G. Dy; Carla E. Brodley; Avinash C. Kak; Chi-Ren Shyu; Lynn S. Broderick (CVPR, 1999)

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

A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms. - Yuanhui Zhou; Carla E. Brodley (ICML, 1999)

Customized-queries approach to CBIR. - Jennifer G. Dy; Carla E. Brodley; Avinash C. Kak; Chi-Ren Shyu; Lynn S. Broderick (Storage and Retrieval for Image and Video Databases (SPIE), 1999)

ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases. - Chi-Ren Shyu; Carla E. Brodley; Avinash C. Kak; Akio Kosaka; Alex M. Aisen; Lynn S. Broderick (Comput. Vis. Image Underst., 1999)

Identifying Mislabeled Training Data. - Carla E. Brodley; Mark A. Friedl (J. Artif. Intell. Res., 1999)

Maximizing land cover classification accuracies produced by decision trees at continental to global scales. - Mark A. Friedl; Carla E. Brodley; Alan H. Strahler (IEEE Trans. Geosci. Remote. Sens., 1999)

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

A Web-Based CBIR-Assisted Learning Tool for Radiology Education - Anytime and Anyplace. - Chi-Ren Shyu; Avinash C. Kak; Carla E. Brodley; Christina Pavlopoulou; M. F. Chyan; Lynn S. Broderick (IEEE International Conference on Multimedia and Expo (I), 2000)

Feature Subset Selection and Order Identification for Unsupervised Learning. - Jennifer G. Dy; Carla E. Brodley (ICML, 2000)

Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. - Terran Lane; Carla E. Brodley (ICML, 2000)

Visualization and interactive feature selection for unsupervised data. - Jennifer G. Dy; Carla E. Brodley (KDD, 2000)

KDD-Cup 2000 Organizers' Report: Peeling the Onion. - Ron Kohavi; Carla E. Brodley; Brian Frasca; Llew Mason; Zijian Zheng 002 (SIGKDD Explor., 2000)

The Effect of Instance-Space Partition on Significance. - Jeffrey P. Bradford; Carla E. Brodley (Mach. Learn., 2001)

Focusing attention on objects of interest using multiple matched filters. - Timothy M. Stough; Carla E. Brodley (IEEE Trans. Image Process., 2001)

Integration of domain knowledge in the form of ancillary map data into supervised classification of remotely sensed data. - Mark A. Friedl; Douglas K. McIver; Carla E. Brodley (IGARSS, 2002)

Interactive Content-Based Image Retrieval Using Relevance Feedback. - Sean D. MacArthur; Carla E. Brodley; Avinash C. Kak; Lynn S. Broderick (Comput. Vis. Image Underst., 2002)

Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database. - Chi-Ren Shyu; Christina Pavlopoulou; Avinash C. Kak; Carla E. Brodley; Lynn S. Broderick (Comput. Vis. Image Underst., 2002)

Behavioral Authentication of Server Flows. - James P. Early; Carla E. Brodley; Catherine Rosenberg (ACSAC, 2003)

Boosting Lazy Decision Trees. - Xiaoli Zhang Fern; Carla E. Brodley (ICML, 2003)

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

An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection. - Terran Lane; Carla E. Brodley (Mach. Learn., 2003)

Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. - Jennifer G. Dy; Carla E. Brodley; Avinash C. Kak; Lynn S. Broderick; Alex M. Aisen (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

IP covert timing channels: design and detection. - Serdar Cabuk; Carla E. Brodley; Clay Shields (CCS, 2004)

Solving cluster ensemble problems by bipartite graph partitioning. - Xiaoli Zhang Fern; Carla E. Brodley (ICML, 2004)

User re-authentication via mouse movements. - Maja Pusara; Carla E. Brodley (VizSEC, 2004)

Cyber defense technology networking and evaluation. - 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; et al. (Commun. ACM, 2004)

Feature Selection for Unsupervised Learning. - Jennifer G. Dy; Carla E. Brodley (J. Mach. Learn. Res., 2004)

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

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

Detection and prevention of stack buffer overflow attacks. - Benjamin A. Kuperman; Carla E. Brodley; Hilmi Ozdoganoglu; T. N. Vijaykumar; Ankit Jalote (Commun. ACM, 2005)

Offloading IDS Computation to the GPU. - Nigel Jacob; Carla E. Brodley (ACSAC, 2006)

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

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

SmashGuard: A Hardware Solution to Prevent Security Attacks on the Function Return Address. - Hilmi Ozdoganoglu; T. N. Vijaykumar; Carla E. Brodley; Benjamin A. Kuperman; Ankit Jalote (IEEE Trans. Computers, 2006)

Active Class Selection. - Rachel Lomasky; Carla E. Brodley; M. Aernecke; David R. Walt; Mark A. Friedl (ECML, 2007)

Class Noise Mitigation Through Instance Weighting. - Umaa Rebbapragada; Carla E. Brodley (ECML, 2007)

Generating High-Quality Training Data for Automated Land-Cover Mapping. - Umaa Rebbapragada; Rachel Lomasky; Carla E. Brodley; Mark A. Friedl (IGARSS (4), 2008)

A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes. - Xintao Wei; Lenore Cowen; Carla E. Brodley; Arthur Brady; D. Sculley; Donna K. Slonim (ISBRA, 2008)

Event Discovery in Time Series. - Dan Preston; Pavlos Protopapas; Carla E. Brodley (SDM, 2009)

Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars - Umaa Rebbapragada; Pavlos Protopapas; Carla E. Brodley; Charles R. Alcock (CoRR, 2009)

Finding anomalous periodic time series. - Umaa Rebbapragada; Pavlos Protopapas; Carla E. Brodley; Charles R. Alcock (Mach. Learn., 2009)

Discovering arbitrary event types in time series. - Dan Preston; Pavlos Protopapas; Carla E. Brodley (Stat. Anal. Data Min., 2009)

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

Anomaly Detection Using an Ensemble of Feature Models. - Keith Noto; Carla E. Brodley; Donna K. Slonim (ICDM, 2010)

Modeling annotation time to reduce workload in comparative effectiveness reviews. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Joseph Lau; Thomas A. Trikalinos (IHI, 2010)

Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface. - Dan Preston; Carla E. Brodley; Roni Khardon; Damien Sulla-Menashe; Mark A. Friedl (KDD, 2010)

Active learning for biomedical citation screening. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (KDD, 2010)

Semi-automated screening of biomedical citations for systematic reviews. - Byron C. Wallace; Thomas A. Trikalinos; Joseph Lau; Carla E. Brodley; Christopher H. Schmid (BMC Bioinform., 2010)

Class Imbalance, Redux. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (ICDM, 2011)

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

Who Should Label What? Instance Allocation in Multiple Expert Active Learning. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (SDM, 2011)

Active Label Correction. - Umaa Rebbapragada; Carla E. Brodley; Damien Sulla-Menashe; Mark A. Friedl (ICDM, 2012)

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

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Joseph Lau; Thomas A. Trikalinos (IHI, 2012)

Challenges and Opportunities in Applied Machine Learning. - Carla E. Brodley; Umaa Rebbapragada; Kevin Small; Byron C. Wallace (AI Mag., 2012)

FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection. - Keith Noto; Carla E. Brodley; Donna K. Slonim (Data Min. Knowl. Discov., 2012)

Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints. - Kelly Moran; Byron C. Wallace; Carla E. Brodley (AAAI, 2014)

Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations. - Bilal Ahmed; Thomas Thesen; Karen E. Blackmon; Yijun Zhao; Orrin Devinsky; Ruben Kuzniecky; Carla E. Brodley (ICML, 2014)

CSAX: Characterizing Systematic Anomalies in eXpression Data. - Keith Noto; Carla E. Brodley; Saeed Majidi; Diana W. Bianchi; Donna K. Slonim (RECOMB, 2014)

Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients. - Yijun Zhao; Carla E. Brodley; Tanuja Chitnis; Brian C. Healy (SDM, 2014)

AAAI 2014 Accepted Papers. - Carla E. Brodley (UCI Machine Learning Repository, 2014)

AAAI 2013 Accepted Papers. - Carla E. Brodley (UCI Machine Learning Repository, 2014)

Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. - Yijun Zhao; Tanuja Chitnis; Brian C. Healy; Jennifer G. Dy; Carla E. Brodley (ICDM, 2015)

Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients. - Jingjing Liu; Carla E. Brodley; Brian C. Healy; Tanuja Chitnis (Artif. Intell. Medicine, 2015)

A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. - Yijun Zhao; Bilal Ahmed; Thomas Thesen; Karen E. Blackmon; Jennifer G. Dy; Carla E. Brodley; Ruben Kuzniecky; Orrin Devinsky (KDD, 2016)

Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. - Bilal Ahmed; Thomas Thesen; Karen E. Blackmon; Ruben Kuzniecky; Orrin Devinsky; Jennifer G. Dy; Carla E. Brodley (MLHC, 2016)

Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients. - Bilal Ahmed; Thomas Thesen; Karen E. Blackmon; Ruben Kuzniecky; Orrin Devinsky; Carla E. Brodley (J. Mach. Learn. Res., 2016)

Human-in-the-loop applied machine learning. - Carla E. Brodley (IEEE BigData, 2017)

GOTO Rankings Considered Helpful. - Emery D. Berger; Stephen M. Blackburn; Carla E. Brodley; H. V. Jagadish; Kathryn S. McKinley; Mario A. Nascimento; Minjeong Shin; Lexing Xie (CoRR, 2018)

GOTO rankings considered helpful. - Emery D. Berger; Stephen M. Blackburn; Carla E. Brodley; H. V. Jagadish; Kathryn S. McKinley; Mario A. Nascimento; Minjeong Shin; Kuansan Wang; Lexing Xie (Commun. ACM, 2019)

A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. - Yijun Zhao; Bryan Lackaye; Jennifer G. Dy; Carla E. Brodley (EDM, 2020)

The MSCS New Pathways Consortium - a National Invitation. - Carla E. Brodley; Jan Cuny (RESPECT, 2020)

An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS. - 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 (SIGCSE, 2020)

Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing's Site Visits. - Carla E. Brodley; Catherine Gill; Sally Wynn (RESPECT, 2021)

Interdisciplinary Computing Majors (CS+X): Making it work at your University. - Carla E. Brodley; Valerie Barr (SIGCSE (2), 2022)

Broadening Participation in Computing via Ubiquitous Combined Majors (CS+X). - Carla E. Brodley; Benjamin J. Hescott; Jessica Biron; Ali Ressing; Melissa Peiken; Sarah Maravetz; Alan Mislove (SIGCSE (1), 2022)

Why universities must resist GPA-based enrollment caps in the face of surging enrollments. - Carla E. Brodley (Commun. ACM, 2022)

Re-making CS Departments for Generation CS. - Kathleen J. Lehman; Carla E. Brodley; Mark Guzdial; Paul Tymann; Aman Yadav (SIGCSE (2), 2024)

Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates? - Albert Lionelle; McKenna Quam; Carla E. Brodley; Catherine Gill (SIGCSE (1), 2024)

Collecting, Analyzing, and Acting on Intersectional, Longitudinal Data and Pass/Fail/Withdraw Rates in Computing Courses. - Felix Muzny; Megan Giordano; Emma Sommers; Carla E. Brodley (SIGCSE (1), 2024)

NNsight and NDIF: Democratizing Access to Foundation Model Internals. - 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; et al. (CoRR, 2024)

Visualizing Progress in Broadening Participation in Computing: The Value of Context. - Valerie Barr; Carla E. Brodley; Manuel A. Pérez-Quiñones (Commun. ACM, 2024)

The BPC Relevance of Common Assessment in the Introductory Sequence. - Carla E. Brodley; Catherine Gill (Commun. ACM, 2024)

An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities. - Carla E. Brodley; McKenna Quam; Mark Allen Weiss (Commun. ACM, 2024)

ACM 2023: CS + X - Challenges and Opportunities in Developing Interdisciplinary-Computing Curricula. - Carla E. Brodley; Valerie Barr; Elsa Gunter; Mark Guzdial; Ran Libeskind-Hadas; Bill Z. Manaris (Inroads, 2024)

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. - 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; et al. (ICLR, 2025)

Does Reducing Curricular Complexity Impact Student Success in Computer Science? - Sumukhi Ganesan; Albert Lionelle; Catherine Gill; Carla E. Brodley (SIGCSE (1), 2025)

Student Application Trends for Teaching Assistant Positions. - Felix Muzny; Abdulaziz Suria; Carla E. Brodley (SIGCSE (1), 2025)