W. Philip Kegelmeyer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
11
Active years
1996–2020
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | CCS | Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis. | Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Bridget I. Haus, Eva Domschot, Ramyaa, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer |
| 2015 | SDM | Attacking DBSCAN for Fun and Profit. | Jonathan Crussell, W. Philip Kegelmeyer |
| 2013 | ICMLA | Streaming Malware Classification in the Presence of Concept Drift and Class Imbalance. | W. Philip Kegelmeyer, Ken Chiang, Joey Burton Ingram |
| 2012 | EMNLP | Exploring Topic Coherence over Many Models and Many Topics. | Keith Stevens, W. Philip Kegelmeyer, David Andrzejewski, David Buttler |
| 2011 | ICDM | Multilingual Sentiment Analysis Using Latent Semantic Indexing and Machine Learning. | Brett W. Bader, W. Philip Kegelmeyer, Peter A. Chew |
| 2011 | ICDM | COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. | Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer |
| 2008 | ICPR | Semi-supervised learning on large complex simulations. | John Nicholas Korecki, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer |
| 2008 | ICPR | Detecting and ordering salient regions for efficient browsing. | Larry Shoemaker, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer |
| 2008 | ICPR | Feature selection via decision tree surrogate splits. | Clayton Springer, W. Philip Kegelmeyer |
| 2006 | ICTAI | Learning to Predict Salient Regions from Disjoint and Skewed Training Sets. | Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer |
| 2005 | IDA | FCLib: A Library for Building Data Analysis and Data Discovery Tools. | Wendy S. Koegler, W. Philip Kegelmeyer |
| 2003 | ICDM | Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. | Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich |
| 2001 | CVPR | Bagging Is a Small-Data-Set Phenomenon. | Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer |
| 2001 | IDA | Feature Characterization in Scientific Datasets. | Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer |
| 2001 | KDD | Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. | Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer |
| 2000 | SMC | A parallel decision tree builder for mining very large visualization datasets. | Kevin W. Bowyer, Lawrence O. Hall, Thomas Moore, Nitesh V. Chawla, W. Philip Kegelmeyer |
| 1999 | KDD | Learning Rules from Distributed Data. | Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer |
| 1996 | CVPR | Combination of Multiple Classifiers Using Local Accuracy Estimates. | Kevin S. Woods, Kevin W. Bowyer, W. Philip Kegelmeyer |