Jennifer G. Dy

Y. Chang, Y. Li, A. Ding, and J. G. Dy, "A Robust-Equitable Copula Dependence Measure for Feature Selection," Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR Workshop and Conference Proceedings, Volume 51, 2016. ( pdf version ) ( supplementary )

S. M. Brown, A. Webb, R. S. Mangoubi, and J. G. Dy, "A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores," Proceedings of the Twnenty-Ninth AAAI Conference on Artificial Intelligence, pp. 1700-1706, 2015. ( pdf version )

J. Chen, W. Dai, Y. Sun, and J. G. Dy, "Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model," Proceedings of the SIAM International Conference on Data Mining, pp. 424-432, 2015. ( pdf version )

J. C. Ross, P. J. Castaldi, M. H. Cho, and J. G. Dy, "Dual Beta Process Priors for Latent Cluster Discovery in Chronic Obstructive Pulmonary Disease," Proceeding s of the ACM Knowledge Discovery and Data Mining (KDD), 2014. ( pdf version )

D. Niu, J. G. Dy, and M. I. Jordan, "Iterative Discovery of Multiple Alternative Clustering Views," IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7): 1340-1353, 2014. ( pdf version )

Y. Yan, R. Rosales, G. Fung, R. Subramanian, and J. G. Dy, "Learning from Multiple Annotators with Varying Expertise," Machine Learning, 95(3): 291-327, 2014. ( pdf version )

J. Ross and J. Dy, "Nonparametric Mixture of Gaussian Processes with Constraints," Proceedings of the International Conference on Machine Learning (ICML), JMLR W&CP 28 (3): 1346-1354, 2013. ( pdf version )

D. Niu, J. G. Dy, Z. Ghahramani, "A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views," Journal of Machine Learning Research - Proceedings Track 22 (International Conf. on Artificial Intelligence and Statistics (AISTATS)), pp. 814-822, 2012. ( pdf version )

Y. Yan, R. Rosales, G. Fung, F. Farooq, B. Rao, J. G. Dy, "Active Learning from Multiple Knowledge Sources," Journal of Machine Learning Research - Proceedings Track 22 (International Conf. on Artificial Intelligence and Statistics (AISTATS)), pp. 1350-1357, 2012. ( pdf version )

F. Azmandian, J. G. Dy, J. A. Aslam, D. R. Kaeli, "Local Kernel Density Ratio-Based Feature Selection for Outlier Detection," Journal of Machine Learning Research - Proceedings Track 25 (Asian Conference on Machine Learning), pp. 49-64, 2012. (Best Poster Award) ( pdf version )

F. Azmandian, A. Yilmazer, J. G. Dy, J. A. Aslam, D. R. Kaeli, "GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio," IEEE International Conference on Data Mining (ICDM), pp. 51-60, 2012. ( pdf version )

M. Alshawabkeh, J. A. Aslam, J. G. Dy, D. R. Kaeli, "Feature Weighting and Selection Using Hypothesis Margin of Boosting," IEEE International Conference on Data Mining (ICDM), pp. 41-50, 2012. ( pdf version )

Y. Yan, R. Rosales, G. Fung, and J. Dy, "Active Learning from Crowds," Proceedings of the 28th International Conference on Machine Learning (ICML), pp. 1161-1168, 2011. ( pdf version )

Y. Guan, J. G. Dy, and M. I. Jordan, "A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection," Proceedings of the 28th International Conference on Machine Learning (ICML), pp. 1073-1080, 2011. ( pdf version )

D. Niu, J. G. Dy, and M. I. Jordan, "Dimensionality Reduction for Spectral Clustering," JMLR Workshop and Conference Proceedings Volume 15: AISTATS (Artificial Intelligence and Statistics), pp. 552-560, 2011. (pdf version).

D. Niu, J. G. Dy, and M. I. Jordan, "Multiple Non-Redundant Spectral Clustering Views," Proceedings of the 27th International Conference on Machine Learning, pp. 831-838, 2010. (pdf version).

M. Masaeli, G. Fung, and J. G. Dy, "From Transformation-Based Dimensionality Reduction to Feature Selection," Proceedings of the 27th International Conference on Machine Learning, pp. 751-758, 2010. (pdf version).

Y. Yan, R. Rosales, G. Fung, and J. G. Dy, "Semi-Supervised Learning by Modeling Multiple-Annotator Expertise," Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, 2010. (pdf version).

Y. Yan, R. Rosales, G. Fung, M. Schmidt, G. Hermosillo, L. Bogoni, L. Moy, and J. G. Dy, "Modeling Annotator Expertise: Learning when Everybody Knows a Bit of Something," Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Vol. 9, pp. 932-939, 2010. (pdf version).

Y. Yan, G. Fung, J. G. Dy, and R. Rosales, "Medical Coding Classification by Leveraging Inter-Code Relationships," Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Databases, pp. 193-202, 2010. (pdf version).

M. Masaeli, Y. Yan, Y. Cui, G. Fung, and J. G. Dy, "Convex Principal Feature Selection," Proceedings of the SIAM International Conference on Data Mining, Columbus, OH, April 29-May 1, pp. 619-628, 2010. (pdf version).

Y. Cui, X. Z. Fern, J. G. Dy, "Learning Multiple Nonredundant Clusterings," ACM Transactions on Knowledge Discovery from Data, Vol. 4, No. 3, 2010.

Y. Guan, J. G. Dy, D. Niu, and Z. Ghahramani, "Variational Inference for Nonparametric Multiple Clustering," MultiClust: 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings, at the ACM SIGKDD International Conference on Knowledge Discovery and Databases, 2010. (pdf version).

Y. Guan and J. G. Dy, "Sparse Probabilistic Principal Component Analysis," Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics," 5:185-192, April 2009. (pdf version).

V. Vural, G. Fung, R. Rosales, J. G. Dy, "Multi-Class Classifiers and their Underlying Shared Structure," Proceedings of the International Joint Conferences on Artificial Intelligence (IJCAI), pp. 1267-1272, 2009. (pdf version).

V. Vural, G. Fung, B. Krishnapuram, J. G. Dy, and B. Rao, "Using Local Dependencies within Batches to Improve Large Margin Classifiers," Journal of Machine Learning Research, 10(Feb):183--206, 2009. (pdf version).

Y. Cui and J. G. Dy, "Orthogonal Principal Feature Selection," Sparse Optimization and Variable Selection Workshop at the International Conference on Machine Learning, Helsinki, Finland, July 9, 2008. (pdf version).

Y. Cui, X. Fern, and J. G. Dy, "Non-Redundant Multi-View Clustering Via Orthogonalization," Proceedings of the IEEE International Conference on Data Mining, pp. 133-142, Omaha, NE, October 2007. (pdf version).

V. Vural, G. Fung, J. G. Dy, and B. Rao, "Fast Semi-Supervised Classifiers Using A-priori Metric Information," Optimization Methods and Software on Mathematical Programming in Data Mining and Machine Learning, Vol. 23, No. 4, pp. 521-532, 2008.

Y. Cui, J. G. Dy, G. C. Sharp, B. M. Alexander, and S. B. Jiang, "Learning methods for lung tumor markerless gating in image-guided radiotherapy," Proceedings of the fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 902-910, Las Vegas, Nevada, August 2008. (pdf version).

Y. Cui, J. G. Dy, B. Alexander, and S. B. Jiang, "Fluoroscopic gating without implanted fiducial markers for lung cancer radiotherapy based on support vector machines," Physics in Medicine and Biology, Vol. 53, N315-N327, 2008.

F. Azmandian, D. Kaeli, J. Dy, E. Hutchinson, M. Ancukiewicz, A. Niemierko, and S. B. Jiang, "Towards the Development of an Error Checker for Radiotherapy Treatment Plans: A Preliminary Study," Physics in Medicine and Biology, Vol. 52, No. 21, pp. 6511-6524, 2007.

Y. Cui, J. G. Dy, G. C. Sharp, B. Alexander, and S. B. Jiang, "Multiple Template Based Fluoroscopic Tracking of Lung Tumor Mass without Implanted Fiducial Markers," Physics in Medicine and Biology, Vol. 52, pp. 6229-6242, 2007. (journal).

T. Su and J. G. Dy, "In Search of Deterministic Methods for Initializing K-Means and Gaussian Mixture Clustering," Intelligent Data Analysis, Vol. 11, No. 4, pp. 319-338, 2007. (pre-press pdf version).

J. G. Dy, "Unsupervised Feature Selection," invited book chapter in Computational Methods of Feature Selection, edited by Huan Liu and Hiroshi Motoda, Chapman and Hall/CRC Press, to appear 2007.

Y. Cui, J. G. Dy, G. C. Sharp, B. Alexander and S. B. Jiang, "Robust Fluoroscopic Respiratory Gating for Lung Cancer Radiotherapy without Implanted Fiducial Markers," Physics in Medicine and Biology, Vol. 52, Number 3, February 2007, pp. 741-755. (journal).

V. Vural, G. Fung, B. Krishnapuram, J. Dy, and B. Rao, "Batch Classification with Applications in Computer Aided Diagnosis," Proceedings of the Seventeenth European Conference on Machine Learning, vol. 4212, p. 449-460, Berlin, Germany, Sept. 18-22, 2006. (pdf version).

Y. Cui, J. G. Dy, G. C. Sharp, B. Alexander, and S. B. Jiang, "Fluoroscopic Tracking of Lung Tumor Mass without Implanted Fiducial Markers," American Association of Physicists in Medicine (AAPM) 48th Annual Meeting, vol. 33, p. 2244, Orlando, FL, July 30-August 3, 2006.

Y. Cui, J. G. Dy, G. C. Sharp, B. Alexander, and S. B. Jiang, "Correlation Score Based Respiratory Gating for Lung Cancer Radiotherapy without Implanted Fiducial Markers," American Association of Physicists in Medicine (AAPM) 48th Annual Meeting, vol. 33, p. 2162, Orlando, FL, July 30-August 3, 2006.

K. Sanghai, T. Su, J. G. Dy, and D. Kaeli, "A Multinomial Clustering Model for Fast Simulation of Computer Architecture Designs," Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August, 2005, Chicago, Illinois. (pdf version).

B. Cordes, J. G. Dy, and M. Leeser, "Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hard ware," Proceedings of the 16th IEEE International Workshop on Rapid System Prototyping, June, 2005, Montreal, Canada. (pdf version).

J. G. Dy and C. E. Brodley, "Feature Selection for Unsupervised Learning," Journal of Machine Learning Research, Volume 5, pp. 845-889, August, 2004.
JMLR version (pdf), (ps).
Technical Report version (with the extended appendix of experimental results).

T. Su and J. G. Dy, "Automated Hierarchical Mixtures of Probabilistic Principal Component Anayzers," Proceedings of the 21st International Conference on Machine Learning, pages 775-782, July, 2004, Banff, Alberta, Canada. (pdf version).

V. Vural and J. G. Dy, "A Hierarchical Method for Multi-Class Support Vector Machines," Proceedings of the 21st International Conference on Machine Learning, pages 831-838, July, 2004, Banff, Alberta, Canada. (pdf version).

T. Su and J. G. Dy, "A Deterministic Method for Initializing K-means Clustering," Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence, pages 784-786, November, 2004, Boca Raton, Florida. (pdf version).

J. G. Dy, C. E. Brodley, A. Kak, L. S. Broderick, and A. M. Aisen, "Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 3, pp. 373-378, March 2003.

M. Aisen, L. S. Broderick, H. Winer-Muram, C. E. Brodley, A. C. Kak, C. Pavlopoulou, J. Dy, and A. Marchiori, ``Automated Storage and Retrieval of Medical Images to Assist Diagnosis: Implementation and Preliminary Assessment,''  Radiology, Vol. 228, No. 1, pages 265-270, 2003. (pdf version).

J. G. Dy and C. E. Brodley, "Visualization and Interactive Feature Selection for Unsupervised Data," Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 360-364, August 20-23, 2000, Boston, MA. Abstract, (ps version), (pdf version).

J. G. Dy and C. E. Brodley, "Feature Subset Selection and Order Identification for Unsupervised Learning," Proceedings of the Seventeenth International Conference on Machine Learning, June 29-July 2, 2000, Stanford University, CA. Abstract, (ps version), (pdf version).

C. E. Brodley, A. C. Kak, J. G. Dy, C. Shyu, A. Aisen, and L. Broderick, ``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,  pages 760-767, 1999. (pdf version).

J. G. Dy, C. E. Brodley, A. Kak, C. Shyu and L. S. Broderick, "The customized-queries approach to CBIR using EM," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Vol. II, pages 400-406, June 1999, Fort Collins, Colorado. Abstract, (ps version), (pdf version).
 

J. G. Dy, C. E. Brodley, A. Kak, C. Shyu and L. S. Broderick, "The customized-queries approach to CBIR," Proceedings of the Storage and Retrieval for Image and Video Databases VII, IS&T/SPIE Electronic Imaging '99, Vol. 3656, pages 22-32, January 1999, San Jose, CA.  Abstract, (ps version), (pdf version).