Brodley, Carla E.

28 publications

ICLR 2025 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

JMLR 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 Kuzniekcy, Orrin Devinsky, Carla E. Brodley

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

AAAI 2014 Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada Carla E. Brodley, Peter Stone

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

MLJ 2009 Finding Anomalous Periodic Time Series Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock

JMLR 2004 Feature Selection for Unsupervised Learning Jennifer G. Dy, Carla E. Brodley

ICML 2004 Machine Learning, Proceedings of the Twenty-First International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004 Carla E. Brodley

ICML 2004 Solving Cluster Ensemble Problems by Bipartite Graph Partitioning Xiaoli Zhang Fern, Carla E. Brodley

MLJ 2003 An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection Terran Lane, Carla E. Brodley

ICML 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 2001 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

MLJ 2001 The Effect of Instance-Space Partition on Significance Jeffrey P. Bradford, Carla E. Brodley

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

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

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

AAAI 1999 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

JAIR 1999 Identifying Mislabeled Training Data Carla E. Brodley, Mark A. Friedl

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

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

NeurIPS 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

AAAI 1996 Identifying and Eliminating Mislabeled Training Instances Carla E. Brodley, Mark A. Friedl

ICML 1995 Automatic Selection of Split Criterion During Tree Growing Based on Node Location Carla E. Brodley

MLJ 1995 Multivariate Decision Trees Carla E. Brodley, Paul E. Utgoff

MLJ 1995 Recursive Automatic Bias Selection for Classifier Construction Carla E. Brodley

ICML 1993 Automatic Algorith/Model Class Selection Carla E. Brodley

ICML 1990 An Incremental Method for Finding Multivariate Splits for Decision Trees Paul E. Utgoff, Carla E. Brodley