Carla Brodley | Academic Influence

Carla Brodley's AcademicInfluence.com Rankings

Carla Brodley

Computer Science

#2185

World Rank

#2274

Historical Rank

Database

#5837

World Rank

#6054

Historical Rank

computer-science Degrees

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Computer Science

Carla Brodley's Degrees

PhD Computer Science University of Massachusetts Amherst
Masters Computer Science University of Massachusetts Amherst
Bachelors Mathematics University of Massachusetts Amherst

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Why Is Carla Brodley Influential?

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According to Wikipedia, Carla E. Brodley is a computer scientist specializing in machine learning. Brodley is a Fellow of the ACM, the Association for the Advancement of Artificial Intelligence , and the American Association for the Advancement of Science . She is the Dean of Inclusive Computing at Northeastern University, where she serves as the Executive Director for the Center for Inclusive Computing and holds a tenured appointment in Khoury College of Computer Sciences. Brodley served as dean of Khoury College from 2014-2021. She is a proponent for greater enrollment of women and under-represented minorities in computer science.

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Carla Brodley's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Decision tree classification of land cover from remotely sensed data (1997) (1443)
Feature Selection for Unsupervised Learning (2004) (990)
Identifying Mislabeled Training Data (1999) (896)
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach (2003) (704)
Solving cluster ensemble problems by bipartite graph partitioning (2004) (565)
IP covert timing channels: design and detection (2004) (483)
Temporal sequence learning and data reduction for anomaly detection (1998) (451)
ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases (1999) (425)
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr (2012) (408)
Maximizing land cover classification accuracies produced by decision trees at continental to global scales (1999) (333)
KDD-Cup 2000 organizers' report: peeling the onion (2000) (308)
User re-authentication via mouse movements (2004) (305)
Semi-automated screening of biomedical citations for systematic reviews (2010) (288)
Feature Subset Selection and Order Identification for Unsupervised Learning (2000) (280)
Multivariate decision trees (2004) (277)
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images (2003) (271)
Identifying and Eliminating Mislabeled Training Instances (1996) (260)
Proceedings of the twenty-first international conference on Machine learning (2004) (256)
Dis-function: Learning distance functions interactively (2012) (223)
Pruning Decision Trees with Misclassification Costs (1998) (222)
Sequence Matching and Learning in Anomaly Detection for Computer Security (1997) (202)
Addressing the Selective Superiority Problem: Automatic Algorithm/Model Class Selection (1993) (189)
Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment. (2003) (183)
Class Imbalance, Redux (2011) (183)
Predictive application-performance modeling in a computational grid environment (1999) (162)
Temporal sequence learning and data reduction for anomaly detection (1999) (156)
IP Covert Channel Detection (2009) (149)
Approaches to Online Learning and Concept Drift for User Identification in Computer Security (1998) (140)
Relevance feedback decision trees in content-based image retrieval (2000) (140)
Machine learning techniques for the computer security domain of anomaly detection (2000) (138)
Finding anomalous periodic time series (2009) (126)
SmashGuard: A Hardware Solution to Prevent Security Attacks on the Function Return Address (2006) (122)
Network covert channels: design, analysis, detection, and elimination (2006) (122)
Compression and machine learning: a new perspective on feature space vectors (2006) (118)
Active learning for biomedical citation screening (2010) (117)
Exploration of machine learning techniques in predicting multiple sclerosis disease course (2017) (117)
An Incremental Method for Finding Multivariate Splits for Decision Trees (1990) (112)
ASSERT: A PHYSICIAN-IN-THE-LOOP CONTENT-BASED IMAGE RETRIEVAL SYSTEM FOR HRCT IMAGE DATABASES (1999) (109)
Local versus global features for content-based image retrieval (1998) (105)
Offloading IDS Computation to the GPU (2006) (99)
Class Noise Mitigation Through Instance Weighting (2007) (99)
Multivariate Decision Trees (1995) (98)
Cyber defense technology networking and evaluation (2004) (91)
Linear Machine Decision Trees (1991) (89)
Active Class Selection (2007) (80)
Behavioral authentication of server flows (2003) (79)
Multivariate Versus Univariate Decision Trees (1992) (78)
Goal-Directed Classification Using Linear Machine Decision Trees (1994) (78)
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security (2004) (76)
Interactive Content-Based Image Retrieval Using Relevance Feedback (2002) (74)
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection (2012) (74)
Applying classification algorithms in practice (1997) (73)
Detection and prevention of stack buffer overflow attacks (2005) (71)
An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection (2003) (71)
Who Should Label What? Instance Allocation in Multiple Expert Active Learning (2011) (70)
Visualization and interactive feature selection for unsupervised data (2000) (69)
Improving automated land cover mapping by identifying and eliminating mislabeled observations from training data (1996) (69)
Learning to Schedule Straight-Line Code (1997) (67)
Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining (2012) (65)
Cortical feature analysis and machine learning improves detection of “MRI-negative” focal cortical dysplasia (2015) (64)
Recursive Automatic Bias Selection for Classifier Construction (2004) (58)
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision (1999) (58)
Heat stroke: power-density-based denial of service in SMT (2005) (55)
Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database (2002) (51)
Recursive automatic bias selection for classifier construction (1995) (50)
Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers (2006) (50)
The Constrained Weight Space SVM: Learning with Ranked Features (2011) (47)
Cluster Ensembles for High Dimensional Clustering: An Empirical Study (2006) (43)
Active Literature Discovery for Scoping Evidence Reviews How Many Needles are There (2013) (39)
Anomaly Detection Using an Ensemble of Feature Models (2010) (38)
The customized-queries approach to CBIR using EM (1999) (38)
Detecting the Abnormal: Machine Learning in Computer Security (1997) (36)
Testing for human perceptual categories in a physician-in-the-loop CBIR system for medical imagery (1999) (31)
Challenges and Opportunities in Applied Machine Learning (2012) (30)
Event Discovery in Time Series (2009) (28)
Automatic Selection of Split Criterion during Tree Growing Based on Node Location (1995) (26)
Boosting Lazy Decision Trees (2003) (25)
Correlation Clustering for Learning Mixtures of Canonical Correlation Models (2005) (22)
Recursive automatic algorithm selection for inductive learning (1995) (19)
An examination of user behavior for user re-authentication (2007) (18)
Content-based image retrieval for medical imagery (2003) (18)
Clinical vestibular testing assessed with machine-learning algorithms. (2015) (18)
Modeling annotation time to reduce workload in comparative effectiveness reviews (2010) (17)
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations (2014) (17)
Improving onboard analysis of Hyperion images by filtering mislabeled training data examples (2009) (16)
On the Qualitative Behavior of Impurity-Based Splitting Rules I: The Minima-Free Property (1997) (16)
Active Label Correction (2012) (15)
The Effect of Instance-Space Partition on Significance (2001) (15)
Focusing attention on objects of interest using multiple matched filters (2001) (14)
Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars (2009) (14)
Advances in online learning-based spam filtering (2008) (13)
Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients (2016) (13)
CBIR for medical images - an evaluation trial (2001) (13)
New approaches to classification in remote sensing using homogeneous and hybrid decision trees to map land cover (1996) (12)
Removing Confounding Factors via Constraint Based Clustering: An Application to Finding Homogeneous Groups of Multiple Sclerosis Patients (2013) (12)
Behavioral Features for Network Anomaly Detection (2006) (12)
Single Cell Time-resolved Quorum Responses Reveal Dependence on Cell Density and Configuration (2011) (11)
Dynamic Automatic Model Selection (1992) (11)
Strategic targeting of outliers for expert review (2010) (11)
Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface (2010) (11)
Knowledge Discovery and Data Mining (1999) (10)
Resource-usage prediction for demand-based network-computing (1998) (10)
CSAX: Characterizing Systematic Anomalies in eXpression Data (2014) (9)
Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data (2000) (9)
Customized-queries approach to CBIR (1998) (8)
Generating High-Quality Training Data for Automated Land-Cover Mapping (2008) (8)
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines (2016) (8)
Automatic Algorith/Model Class Selection (1993) (8)
A Web-based CBIR-assisted learning tool for radiology education-anytime and anyplace (2000) (7)
GOTO rankings considered helpful (2018) (6)
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions (2020) (6)
Discovering arbitrary event types in time series (2009) (6)
Feature Subset Selection and Order Identiication for Unsupervised Learning (2000) (6)
IP Covert Timing Channels: An Initial Exploration (2004) (6)
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy (2016) (5)
A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes (2008) (5)
Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention (1997) (5)
Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints (2014) (5)
Evaluation methods for internet security technology (2004) (4)
An interactive framework for boundary delineation for medical CBIR (2001) (4)
An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS (2020) (4)
Integration of domain knowledge in the form of ancillary map data into supervised classification of remotely sensed data (2002) (4)
A Hybrid Lazy-Eager Approach to Reducing the Computation and Memory Requirements of Local Parametric Learning Algorithms (1999) (4)
Feature Subset Selection and Order Identi cation for Unsupervised Learning (4)
Knowledge discovery and data mining cup part of SIGKDD 2000 (2000) (3)
Applications of Semisupervised and Active Learning to Interactive Contour Delineation (2006) (3)
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients (2014) (3)
Measuring Concept Change (2002) (3)
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients (2015) (3)
DETECTION AND PREVENTION OF STACK BUFFER OVERFLOW (2005) (2)
Broadening Participation in Computing via Ubiquitous Combined Majors (CS+X) (2022) (2)
Automatic Detection of Covert Channels in Networks (2007) (2)
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001 (2001) (1)
Why universities must resist GPA-based enrollment caps in the face of surging enrollments (2022) (1)
Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004 (2004) (1)
Feature selection for unsupervised learning applied to content-based image retrieval (2001) (1)
Computing: report leaps geographical barriers but stumbles over gender (2006) (1)
Behavioral feature extraction for network anomaly detection (2005) (1)
Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing's Site Visits (2021) (1)
Learning Policies for Local Instruction Scheduling (1997) (1)
Dynamic Recursive Model Class Selection for Classifier Construction (1994) (1)
Human-in-the-loop applied machine learning (2017) (1)
Comparison of Regression Methods Symbolic Induction Methods and Neural Networks in Morbidity Diagnosis and Mortality Prediction in Equine Gastrointestinal Colic (1993) (1)
Machine learning in health informatics: making better use of domain experts (2012) (1)
Salivary Analyte Profiles and Asthma Severity (2009) (0)
Special issue on the eighteenth international conference on machine learning (icml2001) (2003) (0)
Appears in ECML-98 as a research note Pruning Decision Trees with Misclassi cation Costs (2015) (0)
Automatic Detection of Anomalous Behavior in Networks (2006) (0)
Covert Timing Channels : An Initial Exploration (0)
Knowledge Discovery and Data Mining Computers taught to discern patterns, detect anomalies and apply decision algorithms can help secure computer systems and find volcanoes on Venus (2016) (0)
Appears in Ecml-98 as a Research Note a Longer Version Is Available as Ece Tr 98-3, Purdue University Pruning Decision Trees with Misclassiication Costs 1 Pruning Decision Trees (2008) (0)
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection (2011) (0)
Content Based Image Retrieval using Wavelet based MultiResolution Analysis (2016) (0)
Detecting Natural Versus Unnatural DNA (2007) (0)
Event Discovery in Astronomical Time Series (2009) (0)
Machine Learning : proceedings of the Eighteenth International Conference (ICML 2001), Williams College, June 28- July 1, 2001 (2001) (0)
The MSCS New Pathways Consortium - a National Invitation (2020) (0)
Interdisciplinary Computing Majors (CS+X): Making it work at your University (2022) (0)

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What Schools Are Affiliated With Carla Brodley?

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