| 2026 | ITiCSE | Can We Have Both? Achieving ABET Compliance with Reduced Curricular Complexity in Computer Science Programs. | Stefanie Colino, Albert Lionelle, Estelita Chen, Carla E. Brodley |
| 2026 | SIGCSE | Creating a Second Pathway to the Computing Major. | Ashley Pang, Paea LePendu, Mariam Salloum, Neftali Watkinson Medina, Carla E. Brodley |
| 2025 | ICLR | 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, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau |
| 2025 | SIGCSE | Does Reducing Curricular Complexity Impact Student Success in Computer Science? | Sumukhi Ganesan, Albert Lionelle, Catherine Gill, Carla E. Brodley |
| 2025 | SIGCSE | Student Application Trends for Teaching Assistant Positions. | Felix Muzny, Abdulaziz Arif Suria, Carla E. Brodley |
| 2024 | SIGCSE | Re-making CS Departments for Generation CS. | Kathleen J. Lehman, Carla E. Brodley, Mark Guzdial, Paul Tymann, Aman Yadav |
| 2024 | SIGCSE | Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates? | Albert Lionelle, McKenna Quam, Carla E. Brodley, Catherine Gill |
| 2024 | SIGCSE | 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 |
| 2022 | SIGCSE | Interdisciplinary Computing Majors (CS+X): Making it work at your University. | Carla E. Brodley, Valerie Barr |
| 2022 | SIGCSE | 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 |
| 2020 | EDM | A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. | Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley |
| 2020 | SIGCSE | 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 |
| 2016 | KDD | 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 |
| 2015 | ICDM | 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 |
| 2014 | AAAI | Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints. | Kelly Moran, Byron C. Wallace, Carla E. Brodley |
| 2014 | ICML | 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 |
| 2014 | RECOMB | CSAX: Characterizing Systematic Anomalies in eXpression Data. | Keith Noto, Carla E. Brodley, Saeed Majidi, Diana W. Bianchi, Donna K. Slonim |
| 2014 | SDM | 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 |
| 2012 | ICDM | Active Label Correction. | Umaa Rebbapragada, Carla E. Brodley, Damien Sulla-Menashe, Mark A. Friedl |
| 2011 | ICDM | Class Imbalance, Redux. | Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos |
| 2011 | ICML | The Constrained Weight Space SVM: Learning with Ranked Features. | Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos |
| 2011 | SDM | Who Should Label What? Instance Allocation in Multiple Expert Active Learning. | Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos |
| 2010 | ICDM | Anomaly Detection Using an Ensemble of Feature Models. | Keith Noto, Carla E. Brodley, Donna K. Slonim |
| 2010 | KDD | 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 |
| 2010 | KDD | Active learning for biomedical citation screening. | Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos |
| 2009 | SDM | Event Discovery in Time Series. | Dan Preston, Pavlos Protopapas, Carla E. Brodley |
| 2008 | IGARSS | Generating High-Quality Training Data for Automated Land-Cover Mapping. | Umaa Rebbapragada, Rachel Lomasky, Carla E. Brodley, Mark A. Friedl |
| 2006 | ACSAC | Offloading IDS Computation to the GPU. | Nigel Jacob, Carla E. Brodley |
| 2006 | DCC | Compression and Machine Learning: A New Perspective on Feature Space Vectors. | D. Sculley, Carla E. Brodley |
| 2005 | HPCA | Heat Stroke: Power-Density-Based Denial of Service in SMT. | Jahangir Hasan, Ankit Jalote, T. N. Vijaykumar, Carla E. Brodley |
| 2005 | SDM | Correlation Clustering for Learning Mixtures of Canonical Correlation Models. | Xiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl |
| 2004 | CCS | IP covert timing channels: design and detection. | Serdar Cabuk, Carla E. Brodley, Clay Shields |
| 2004 | ICML | Solving cluster ensemble problems by bipartite graph partitioning. | Xiaoli Zhang Fern, Carla E. Brodley |
| 2004 | VizSec | User re-authentication via mouse movements. | Maja Pusara, Carla E. Brodley |
| 2003 | ACSAC | Behavioral Authentication of Server Flows. | James P. Early, Carla E. Brodley, Catherine Rosenberg |
| 2003 | ICML | Boosting Lazy Decision Trees. | Xiaoli Zhang Fern, Carla E. Brodley |
| 2003 | ICML | Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. | Xiaoli Zhang Fern, Carla E. Brodley |
| 2002 | IGARSS | 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 |
| 2000 | ICML | Feature Subset Selection and Order Identification for Unsupervised Learning. | Jennifer G. Dy, Carla E. Brodley |
| 2000 | ICML | Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. | Terran Lane, Carla E. Brodley |
| 2000 | KDD | Visualization and interactive feature selection for unsupervised data. | Jennifer G. Dy, Carla E. Brodley |
| 1999 | AAAI | 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 |
| 1999 | CVPR | The Customized-Queries Approach to CBIR Using EM. | Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick |
| 1999 | HPDC | Predictive Application-Performance Modeling in a Computational Grid Environment. | Nirav H. Kapadia, Jos A. B. Fortes, Carla E. Brodley |
| 1999 | ICML | A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms. | Yuanhui Zhou, Carla E. Brodley |
| 1998 | CCS | Temporal Sequence Learning and Data Reduction for Anomaly Detection. | Terran Lane, Carla E. Brodley |
| 1998 | KDD | Approaches to Online Learning and Concept Drift for User Identification in Computer Security. | Terran Lane, Carla E. Brodley |
| 1998 | SRDS | Resource-Usage Prediction for Demand-Based Network-Computing. | Nirav H. Kapadia, Carla E. Brodley, Jos A. B. Fortes, Mark S. Lundstrom |
| 1997 | KDD | Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention. | Timothy M. Stough, Carla E. Brodley |
| 1996 | AAAI | Identifying and Eliminating Mislabeled Training Instances. | Carla E. Brodley, Mark A. Friedl |
| 1995 | ICML | Automatic Selection of Split Criterion during Tree Growing Based on Node Location. | Carla E. Brodley |
| 1993 | ICML | Automatic Algorith/Model Class Selection. | Carla E. Brodley |
| 1990 | ICML | An Incremental Method for Finding Multivariate Splits for Decision Trees. | Paul E. Utgoff, Carla E. Brodley |