Carla E. Brodley
Orcid: 0009-0008-2134-6285Affiliations:
- Tufts University, Medford, USA
According to our database1,
Carla E. Brodley
authored at least 95 papers
between 1990 and 2024.
Collaborative distances:
Collaborative distances:
Awards
ACM Fellow
ACM Fellow 2016, "For applications of machine learning and for increasing participation of women in computer science".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on acm.org
-
on id.loc.gov
-
on cs.tufts.edu
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
Collecting, Analyzing, and Acting on Intersectional, Longitudinal Data and Pass/Fail/Withdraw Rates in Computing Courses.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024
Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates?
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024
2022
Why universities must resist GPA-based enrollment caps in the face of surging enrollments.
Commun. ACM, 2022
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
2021
Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing's Site Visits.
Proceedings of the 2021 Conference on Research in Equitable and Sustained Participation in Engineering, 2021
2020
An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020
Proceedings of the Research on Equity and Sustained Participation in Engineering, 2020
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
2019
2018
2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients.
J. Mach. Learn. Res., 2016
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy.
Proceedings of the 1st Machine Learning in Health Care, 2016
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients.
Artif. Intell. Medicine, 2015
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Research in Computational Molecular Biology, 2014
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2012
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection.
Data Min. Knowl. Discov., 2012
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr.
Proceedings of the ACM International Health Informatics Symposium, 2012
Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
BMC Bioinform., 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the ACM International Health Informatics Symposium, 2010
Proceedings of the ICDM 2010, 2010
2009
Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars
CoRR, 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
2008
Proceedings of the Bioinformatics Research and Applications, 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
SmashGuard: A Hardware Solution to Prevent Security Attacks on the Function Return Address.
IEEE Trans. Computers, 2006
Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers.
Proceedings of the Fifteenth Text REtrieval Conference, 2006
Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006
Proceedings of the 22nd Annual Computer Security Applications Conference (ACSAC 2006), 2006
2005
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Proceedings of the 11th International Conference on High-Performance Computer Architecture (HPCA-11 2005), 2005
2004
Proceedings of the 1st ACM Workshop on Visualization and Data Mining for Computer Security, 2004
Proceedings of the Machine Learning, 2004
Proceedings of the 11th ACM Conference on Computer and Communications Security, 2004
2003
IEEE Trans. Pattern Anal. Mach. Intell., 2003
Mach. Learn., 2003
Proceedings of the Machine Learning, 2003
Proceedings of the 19th Annual Computer Security Applications Conference (ACSAC 2003), 2003
2002
Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database.
Comput. Vis. Image Underst., 2002
Comput. Vis. Image Underst., 2002
Integration of domain knowledge in the form of ancillary map data into supervised classification of remotely sensed data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
2001
IEEE Trans. Image Process., 2001
2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Feature Subset Selection and Order Identification for Unsupervised Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
A Web-Based CBIR-Assisted Learning Tool for Radiology Education - Anytime and Anyplace.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000
1999
ACM Trans. Inf. Syst. Secur., 1999
Maximizing land cover classification accuracies produced by decision trees at continental to global scales.
IEEE Trans. Geosci. Remote. Sens., 1999
ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases.
Comput. Vis. Image Underst., 1999
Proceedings of the Storage and Retrieval for Image and Video Databases VII, 1999
A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999
Proceedings of the Eighth IEEE International Symposium on High Performance Distributed Computing, 1999
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999
1998
Proceedings of the Seventeenth Symposium on Reliable Distributed Systems, 1998
Approaches to Online Learning and Concept Drift for User Identification in Computer Security.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998
Proceedings of the Machine Learning: ECML-98, 1998
1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
Proceedings of the Machine Learning, 1995
1994
IEEE Trans. Pattern Anal. Mach. Intell., 1994
1993
1990
Proceedings of the Machine Learning, 1990