Carla E. Brodley

Artificial Intelligence · 1995–2012

A researcher in the Science corpus: 16 papers; trusts 55 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #15,563 of 35,345 by trust here, #15,542 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #5,870 of 21,575 by trust here, #13,542 by citations
• Evaluation & Benchmarks — 15 citations into it
• Statistical Learning Theory — 13 citations into it; #784 of 1,038 by trust here, #863 by citations
• Signal Processing — 12 citations into it; #3,253 of 7,572 by trust here, #5,829 by citations
• Molecular Biology — 9 citations into it
• Statistics and Probability — 9 citations into it
• Computer Networks and Communications — 8 citations into it; #5,156 of 9,886 by trust here, #4,277 by citations

Whom Carla E. Brodley trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Ross Quinlan
2. Robert E. Schapire
3. Inderjit S. Dhillon
4. Geoffrey J. McLachlan
5. Alexander Strehl
6. Arthur P. Dempster
7. Thorsten Joachims
8. Leo Breiman
9. Hirotugu Akaike
10. Anil K. Jain

Who trusts Carla E. Brodley overall

1. Benoît Frénay
2. Xingquan Zhu
3. Fabrice Muhlenbach
4. Michel Verleysen
5. Ludmila I. Kuncheva
6. Jacob Goldberger
7. Ricardo Barandela
8. Zheng Zhao
9. Eran Malach
10. Xindong Wu

Papers from Carla E. Brodley's perspective

Ordered by how strongly the researchers Carla E. Brodley trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Visualization and interactive feature selection for unsupervised data (2000) — 70 citations
• Semi-automated screening of biomedical citations for systematic reviews (2010) — 375 citations
• Solving cluster ensemble problems by bipartite graph partitioning (2004) — 613 citations
• Deploying an interactive machine learning system in an evidence-based practice center: abstrackr (2012) — 611 citations
• The Constrained Weight Space SVM: Learning with Ranked Features (2011) — 45 citations
• Class Imbalance, Redux (2011) — 227 citations
• Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers (2006) — 52 citations
• User re-authentication via mouse movements (2004) — 316 citations
• Feature Selection for Unsupervised Learning (2004) — 1,094 citations
• IP covert timing channels: design and detection (2004) — 525 citations
• Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach (2003) — 723 citations
• Machine learning techniques for the computer security domain of anomaly detection (2000) — 134 citations
• KDD-Cup 2000 organizers' report: peeling the onion (2000) — 303 citations
• Identifying Mislabeled Training Data (1999)
• Identifying and Eliminating Mislabeled Training Instances (1996)
• Multivariate Decision Trees (1995)