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ORCIDCarla E. Brodley
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- affiliation: Tufts University, Medford, USA
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Journal Articles
- 2024
[j33]Carla E. Brodley, Catherine Gill
:
The BPC Relevance of Common Assessment in the Introductory Sequence. Commun. ACM 67(7): 24-26 (2024)- [j32]Valerie Barr, Carla E. Brodley, Manuel A. Pérez-Quiñones:
Visualizing Progress in Broadening Participation in Computing: The Value of Context. Commun. ACM 67(7): 46-55 (2024) - [j31]Carla E. Brodley, McKenna Quam, Mark Allen Weiss:
An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities. Commun. ACM 67(8): 122-131 (2024) - [j30]Carla E. Brodley, Valerie Barr, Elsa Gunter, Mark Guzdial, Ran Libeskind-Hadas, Bill Z. Manaris:
ACM 2023: CS + X - Challenges and Opportunities in Developing Interdisciplinary-Computing Curricula. Inroads 15(3): 42-50 (2024) - 2022
- [j29]Carla E. Brodley:
Why universities must resist GPA-based enrollment caps in the face of surging enrollments. Commun. ACM 65(8): 20-22 (2022) - 2019
- [j28]Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Kuansan Wang, Lexing Xie:
GOTO rankings considered helpful. Commun. ACM 62(7): 29-30 (2019) - 2016
- [j27]Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Carla E. Brodley:
Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients. J. Mach. Learn. Res. 17: 112:1-112:30 (2016) - 2015
- [j26]Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis:
Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients. Artif. Intell. Medicine 65(2): 79-88 (2015) - 2012
- [j25]Carla E. Brodley, Umaa Rebbapragada, Kevin Small, Byron C. Wallace:
Challenges and Opportunities in Applied Machine Learning. AI Mag. 33(1): 11-24 (2012) - [j24]Keith Noto, Carla E. Brodley, Donna K. Slonim:
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection. Data Min. Knowl. Discov. 25(1): 109-133 (2012) - 2010
- [j23]Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau, Carla E. Brodley, Christopher H. Schmid:
Semi-automated screening of biomedical citations for systematic reviews. BMC Bioinform. 11: 55 (2010) - 2009
- [j22]Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock:
Finding anomalous periodic time series. Mach. Learn. 74(3): 281-313 (2009) - [j21]Dan Preston, Pavlos Protopapas, Carla E. Brodley:
Discovering arbitrary event types in time series. Stat. Anal. Data Min. 2(5-6): 396-411 (2009) - [j20]Serdar Cabuk, Carla E. Brodley, Clay Shields:
IP Covert Channel Detection. ACM Trans. Inf. Syst. Secur. 12(4): 22:1-22:29 (2009) - 2006
- [j19]Hilmi Ozdoganoglu, T. N. Vijaykumar, Carla E. Brodley, Benjamin A. Kuperman, Ankit Jalote:
SmashGuard: A Hardware Solution to Prevent Security Attacks on the Function Return Address. IEEE Trans. Computers 55(10): 1271-1285 (2006) - 2005
- [j18]Benjamin A. Kuperman, Carla E. Brodley, Hilmi Ozdoganoglu, T. N. Vijaykumar, Ankit Jalote:
Detection and prevention of stack buffer overflow attacks. Commun. ACM 48(11): 50-56 (2005) - 2004
- [j17]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:
Cyber defense technology networking and evaluation. Commun. ACM 47(3): 58-61 (2004) - [j16]Jennifer G. Dy, Carla E. Brodley:
Feature Selection for Unsupervised Learning. J. Mach. Learn. Res. 5: 845-889 (2004) - 2003
- [j15]Terran Lane, Carla E. Brodley:
An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection. Mach. Learn. 51(1): 73-107 (2003) - [j14]Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick, Alex M. Aisen:
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images. IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 373-378 (2003) - 2002
- [j13]Sean D. MacArthur, Carla E. Brodley, Avinash C. Kak, Lynn S. Broderick:
Interactive Content-Based Image Retrieval Using Relevance Feedback. Comput. Vis. Image Underst. 88(2): 55-75 (2002) - [j12]Chi-Ren Shyu, Christina Pavlopoulou, Avinash C. Kak, Carla E. Brodley, Lynn S. Broderick:
Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database. Comput. Vis. Image Underst. 88(3): 119-151 (2002) - 2001
- [j11]Jeffrey P. Bradford, Carla E. Brodley:
The Effect of Instance-Space Partition on Significance. Mach. Learn. 42(3): 269-286 (2001) - [j10]Timothy M. Stough, Carla E. Brodley:
Focusing attention on objects of interest using multiple matched filters. IEEE Trans. Image Process. 10(3): 419-426 (2001) - 2000
- [j9]Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng:
KDD-Cup 2000 Organizers' Report: Peeling the Onion. SIGKDD Explor. 2(2): 86-98 (2000) - 1999
- [j8]Chi-Ren Shyu, Carla E. Brodley, Avinash C. Kak, Akio Kosaka, Alex M. Aisen, Lynn S. Broderick:
ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases. Comput. Vis. Image Underst. 75(1-2): 111-132 (1999) - [j7]Carla E. Brodley, Mark A. Friedl:
Identifying Mislabeled Training Data. J. Artif. Intell. Res. 11: 131-167 (1999) - [j6]Mark A. Friedl, Carla E. Brodley, Alan H. Strahler:
Maximizing land cover classification accuracies produced by decision trees at continental to global scales. IEEE Trans. Geosci. Remote. Sens. 37(2): 969-977 (1999) - [j5]Terran Lane, Carla E. Brodley:
Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Trans. Inf. Syst. Secur. 2(3): 295-331 (1999) - 1997
- [j4]Carla E. Brodley, Padhraic Smyth:
Applying classification algorithms in practice. Stat. Comput. 7(1): 45-56 (1997) - 1995
- [j3]Carla E. Brodley, Paul E. Utgoff:
Multivariate Decision Trees. Mach. Learn. 19(1): 45-77 (1995) - [j2]Carla E. Brodley:
Recursive Automatic Bias Selection for Classifier Construction. Mach. Learn. 20(1-2): 63-94 (1995) - 1994
- [j1]Bruce A. Draper, Carla E. Brodley, Paul E. Utgoff:
Goal-Directed Classification Using Linear Machine Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 888-893 (1994)
Conference and Workshop Papers
- 2024
- [c64]Albert Lionelle, McKenna Quam, Carla E. Brodley, Catherine Gill:
Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates? SIGCSE (1) 2024: 729-735 - [c63]Felix Muzny, Megan Giordano, Emma Sommers, Carla E. Brodley:
Collecting, Analyzing, and Acting on Intersectional, Longitudinal Data and Pass/Fail/Withdraw Rates in Computing Courses. SIGCSE (1) 2024: 909-915 - [c62]Kathleen J. Lehman, Carla E. Brodley, Mark Guzdial, Paul Tymann, Aman Yadav:
Re-making CS Departments for Generation CS. SIGCSE (2) 2024: 1535-1536 - 2022
- [c61]Carla E. Brodley, Benjamin J. Hescott, Jessica Biron, Ali Ressing, Melissa Peiken, Sarah Maravetz, Alan Mislove:
Broadening Participation in Computing via Ubiquitous Combined Majors (CS+X). SIGCSE (1) 2022: 544-550 - [c60]Carla E. Brodley, Valerie Barr:
Interdisciplinary Computing Majors (CS+X): Making it work at your University. SIGCSE (2) 2022: 1182 - 2021
- [c59]Carla E. Brodley, Catherine Gill, Sally Wynn:
Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing's Site Visits. RESPECT 2021: 1-4 - 2020
- [c58]Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley:
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. EDM 2020 - [c57]Carla E. Brodley, Jan Cuny:
The MSCS New Pathways Consortium - a National Invitation. RESPECT 2020: 1-2 - [c56]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:
An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS. SIGCSE 2020: 1248-1254 - 2017
- [c55]Carla E. Brodley:
Human-in-the-loop applied machine learning. IEEE BigData 2017: 1 - 2016
- [c54]Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky:
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. KDD 2016: 373-382 - [c53]Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley:
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. MLHC 2016: 115-133 - 2015
- [c52]Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley:
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. ICDM 2015: 1129-1134 - 2014
- [c51]Kelly Moran, Byron C. Wallace, Carla E. Brodley:
Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints. AAAI 2014: 1265-1271 - [c50]Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Yijun Zhao, Orrin Devinsky, Ruben Kuzniecky, Carla E. Brodley:
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations. ICML 2014: 1080-1088 - [c49]Keith Noto, Carla E. Brodley, Saeed Majidi, Diana W. Bianchi, Donna K. Slonim:
CSAX: Characterizing Systematic Anomalies in eXpression Data. RECOMB 2014: 222-236 - [c48]Yijun Zhao, Carla E. Brodley, Tanuja Chitnis, Brian C. Healy:
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients. SDM 2014: 965-973 - 2013
- [c47]Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis:
Removing Confounding Factors via Constraint Based Clustering: An Application to Finding Homogeneous Groups of Multiple Sclerosis Patients. ICHI 2013: 487-492 - 2012
- [c46]Umaa Rebbapragada, Carla E. Brodley, Damien Sulla-Menashe, Mark A. Friedl:
Active Label Correction. ICDM 2012: 1080-1085 - [c45]Eli T. Brown, Jingjing Liu, Carla E. Brodley, Remco Chang:
Dis-function: Learning distance functions interactively. IEEE VAST 2012: 83-92 - [c44]Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos:
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. IHI 2012: 819-824 - 2011
- [c43]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Class Imbalance, Redux. ICDM 2011: 754-763 - [c42]Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos:
The Constrained Weight Space SVM: Learning with Ranked Features. ICML 2011: 865-872 - [c41]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Who Should Label What? Instance Allocation in Multiple Expert Active Learning. SDM 2011: 176-187 - 2010
- [c40]Keith Noto, Carla E. Brodley, Donna K. Slonim:
Anomaly Detection Using an Ensemble of Feature Models. ICDM 2010: 953-958 - [c39]Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos:
Modeling annotation time to reduce workload in comparative effectiveness reviews. IHI 2010: 28-35 - [c38]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Active learning for biomedical citation screening. KDD 2010: 173-182 - [c37]Dan Preston, Carla E. Brodley, Roni Khardon, Damien Sulla-Menashe, Mark A. Friedl:
Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface. KDD 2010: 823-832 - 2009
- [c36]Dan Preston, Pavlos Protopapas, Carla E. Brodley:
Event Discovery in Time Series. SDM 2009: 61-72 - 2008
- [c35]Umaa Rebbapragada, Rachel Lomasky, Carla E. Brodley, Mark A. Friedl:
Generating High-Quality Training Data for Automated Land-Cover Mapping. IGARSS (4) 2008: 546-548 - [c34]Xintao Wei, Lenore Cowen, Carla E. Brodley, Arthur Brady, D. Sculley, Donna K. Slonim:
A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes. ISBRA 2008: 26-37 - 2007
- [c33]Rachel Lomasky, Carla E. Brodley, M. Aernecke, David R. Walt, Mark A. Friedl:
Active Class Selection. ECML 2007: 640-647 - [c32]Umaa Rebbapragada, Carla E. Brodley:
Class Noise Mitigation Through Instance Weighting. ECML 2007: 708-715 - 2006
- [c31]Nigel Jacob, Carla E. Brodley:
Offloading IDS Computation to the GPU. ACSAC 2006: 371-380 - [c30]D. Sculley, Carla E. Brodley:
Compression and Machine Learning: A New Perspective on Feature Space Vectors. DCC 2006: 332-332 - [c29]David Sculley, Gabriel Wachman, Carla E. Brodley:
Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers. TREC 2006 - 2005
- [c28]Jahangir Hasan, Ankit Jalote, T. N. Vijaykumar, Carla E. Brodley:
Heat Stroke: Power-Density-Based Denial of Service in SMT. HPCA 2005: 166-177 - [c27]Xiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl:
Correlation Clustering for Learning Mixtures of Canonical Correlation Models. SDM 2005: 439-448 - 2004
- [c26]Serdar Cabuk, Carla E. Brodley, Clay Shields:
IP covert timing channels: design and detection. CCS 2004: 178-187 - [c25]Xiaoli Zhang Fern, Carla E. Brodley:
Solving cluster ensemble problems by bipartite graph partitioning. ICML 2004 - [c24]Maja Pusara, Carla E. Brodley:
User re-authentication via mouse movements. VizSEC 2004: 1-8 - 2003
- [c23]James P. Early, Carla E. Brodley, Catherine Rosenberg:
Behavioral Authentication of Server Flows. ACSAC 2003: 46-55 - [c22]Xiaoli Zhang Fern, Carla E. Brodley:
Boosting Lazy Decision Trees. ICML 2003: 178-185 - [c21]Xiaoli Zhang Fern, Carla E. Brodley:
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. ICML 2003: 186-193 - 2002
- [c20]Mark A. Friedl, Douglas K. McIver, Carla E. Brodley:
Integration of domain knowledge in the form of ancillary map data into supervised classification of remotely sensed data. IGARSS 2002: 1038-1040 - 2000
- [c19]Chi-Ren Shyu, Avinash C. Kak, Carla E. Brodley, Christina Pavlopoulou, M. F. Chyan, Lynn S. Broderick:
A Web-Based CBIR-Assisted Learning Tool for Radiology Education - Anytime and Anyplace. IEEE International Conference on Multimedia and Expo (I) 2000: 23-26 - [c18]Jennifer G. Dy, Carla E. Brodley:
Feature Subset Selection and Order Identification for Unsupervised Learning. ICML 2000: 247-254 - [c17]Terran Lane, Carla E. Brodley:
Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. ICML 2000: 519-526 - [c16]Jennifer G. Dy, Carla E. Brodley:
Visualization and interactive feature selection for unsupervised data. KDD 2000: 360-364 - 1999
- [c15]Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen:
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. AAAI/IAAI 1999: 760-767 - [c14]Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick:
The Customized-Queries Approach to CBIR Using EM. CVPR 1999: 2400-2406 - [c13]Nirav H. Kapadia, José A. B. Fortes, Carla E. Brodley:
Predictive Application-Performance Modeling in a Computational Grid Environment. HPDC 1999: 47-54 - [c12]Yuanhui Zhou, Carla E. Brodley:
A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms. ICML 1999: 503- - [c11]Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick:
Customized-queries approach to CBIR. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 22-32 - 1998
- [c10]Terran Lane, Carla E. Brodley:
Temporal Sequence Learning and Data Reduction for Anomaly Detection. CCS 1998: 150-158 - [c9]Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley:
Pruning Decision Trees with Misclassification Costs. ECML 1998: 131-136 - [c8]Terran Lane, Carla E. Brodley:
Approaches to Online Learning and Concept Drift for User Identification in Computer Security. KDD 1998: 259-263 - [c7]Nirav H. Kapadia, Carla E. Brodley, José A. B. Fortes, Mark S. Lundstrom:
Resource-Usage Prediction for Demand-Based Network-Computing. SRDS 1998: 372-377 - 1997
- [c6]Timothy M. Stough, Carla E. Brodley:
Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention. KDD 1997: 255-258 - [c5]J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff:
Learning to Schedule Straight-Line Code. NIPS 1997: 929-935 - 1996
- [c4]Carla E. Brodley, Mark A. Friedl:
Identifying and Eliminating Mislabeled Training Instances. AAAI/IAAI, Vol. 1 1996: 799-805 - 1995
- [c3]Carla E. Brodley:
Automatic Selection of Split Criterion during Tree Growing Based on Node Location. ICML 1995: 73-80 - 1993
- [c2]Carla E. Brodley:
Automatic Algorith/Model Class Selection. ICML 1993: 17-24 - 1990
- [c1]Paul E. Utgoff, Carla E. Brodley:
An Incremental Method for Finding Multivariate Splits for Decision Trees. ML 1990: 58-65
Editorship
- 2014
- [e4]Carla E. Brodley, Peter Stone:
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada. AAAI Press 2014, ISBN 978-1-57735-661-5 [contents] - 2004
- [e3]Carla E. Brodley:
Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004. ACM International Conference Proceeding Series 69, ACM 2004 [contents] - [e2]Carla E. Brodley, Philip Chan, Richard Lippmann, William Yurcik:
1st ACM Workshop on Visualization and Data Mining for Computer Security, VizSEC/DMSEC 2004, Washington, DC, USA, October 29, 2004. ACM 2004, ISBN 1-58113-974-8 [contents] - 2001
- [e1]Carla E. Brodley, Andrea Pohoreckyj Danyluk:
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001. Morgan Kaufmann 2001, ISBN 1-55860-778-1 [contents]
Data and Artifacts
- 2014
- [d2]Carla E. Brodley:
AAAI 2014 Accepted Papers. UCI Machine Learning Repository, 2014
- [d1]Carla E. Brodley:
AAAI 2013 Accepted Papers. UCI Machine Learning Repository, 2014
Informal and Other Publications
- 2024
- [i7]Valerie Barr, Carla E. Brodley, Manuel A. Pérez-Quiñones:
Visualizing Progress in Broadening Participation in Computing: The Value of Context. CoRR abs/2403.14708 (2024) - [i6]Carla E. Brodley, McKenna Quam, Mark Allen Weiss:
An Analysis of the Math Requirements of 199 CS BS/BA Degrees at 158 U.S. Universities. CoRR abs/2404.15177 (2024) - [i5]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:
NNsight and NDIF: Democratizing Access to Foundation Model Internals. CoRR abs/2407.14561 (2024) - 2018
- [i4]Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Lexing Xie:
GOTO Rankings Considered Helpful. CoRR abs/1807.00071 (2018) - 2016
- [i3]Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley:
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy. CoRR abs/1608.00148 (2016) - 2011
- [i2]Carla E. Brodley, Mark A. Friedl:
Identifying Mislabeled Training Data. CoRR abs/1106.0219 (2011) - 2009
- [i1]Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock:
Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars. CoRR abs/0905.3428 (2009)
Coauthor Index
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