Publication List

Updated 7/08

Working papers

D. Yuan and W. N. Street.
Inducing consideration sets with HACS: Heuristic Algorithm for Clustering Subsets.
Under review.
K. Ataman and W. N. Street.
Approximation methods for LP-based rank optimization.
Under review?

2008

R. Hylock, W. N. Street and D.-F. Lu.
NursingCareWare: Warehousing and knowledge discovery for a nursing care data set.
Third INFORMS Workshop on Data Mining and Health Informatics, 2008, accepted.
L. Duan, W. N. Street and D.-F. Lu.
A nursing care plan recommender system using a data mining approach.
Third INFORMS Workshop on Data Mining and Health Informatics 2008, accepted.
C.-L. Chi and W. N. Street.
The optimal diagnostic decision sequence.
American Medical Informatics Association Annual Symposium (AMIA 2008) (poster paper), accepted.
Y. Zhang and W. N. Street.
Bagging with adaptive costs.
IEEE Transactions on Knowledge and Data Engineering 20(5):577-588, May 2008.
C.-L. Chi, W. N. Street and M. M. Ward.
Building a hospital referral expert system with a prediction and optimization-based decision support system algorithm.
Journal of Biomedical Informatics 41:371-386, April 2008.

2007

C.-L. Chi, W. N. Street and W. H. Wolberg.
Application of artificial neural network-based survival analysis on two breast cancer datasets.
American Medical Informatics Association Annual Symposium (AMIA 2007), pages 130-134, Chicago, IL, November 2007.
C.-L. Chi and W. N. Street.
A data mining technique for risk-stratification diagnosis.
American Medical Informatics Association Annual Symposium (AMIA 2007) (poster paper), page 909, Chicago, IL, November 2007.
D. Yuan and W. N. Street.
HACS: A heuristic algorithm for clustering of subsets.
SIAM International Conference on Data Mining (SDM07), Minneapolis, MN, April 2007.

2006

Y. Zhang, S. Burer and W. N. Street.
Ensemble pruning via semi-definite programming.
Journal of Machine Learning Research 7:1315-1338, July 2006.
Y. Kim, W. N. Street and F. Menczer.
Optimal ensemble construction via meta-evolutionary ensembles.
Expert Systems with Applications 30(4):705-714, May 2006.
X. Y. Qiu, P. Srinivasan and W. N. Street.
Exploring the forecasting potential of company annual reports.
American Society for Information science and Technology (ASIS&T 2006), November 2006.
K. Ataman, W. N. Street and Y. Zhang.
Learning to rank by maximizing AUC with linear programming.
IEEE International Joint Conference on Neural Networks (IJCNN 2006), pages 123-129, July 2006.
K. Ataman and W. N. Street.
Hierarchical local clustering for constraint reduction in rank-optimizing linear programs.
First INFORMS Workshop on Artficial Intelligence and Data Mining, Pittsburgh, PA, November 2006.
D.-F. Lu, W. N. Street and C. Delaney.
Knowledge discovery: Detecting elderly patients with impaired mobility.
Ninth International Congress on Nursing Informatics (NI 2006), pages 121-123, June 2006.

2005

Y. Zhang and W. N. Street.
Bagging with adaptive costs.
Fifth IEEE International Conference on Data Mining (ICDM 2005), pages 825-828, December 2005.
Y. Zhang, W. N. Street and S. Burer.
Sharing classifiers among ensembles from related problem domains.
Fifth IEEE International Conference on Data Mining (ICDM 2005), pages 522-529, December 2005.
Y. Kim, W. N. Street, G. Russell and F. Menczer.
Customer targeting: A neural network approach guided by genetic algorithms.
Management Science 51(2):264-276, February 2005.
W. N. Street.
Oblique multicategory decision trees using nonlinear programming.
INFORMS Journal on Computing 17(1):25-31, Winter 2005.

2004

E. Catona, P. Srinivasan, W. N. Street.
Protien annotation with GO codes. 11th World Congress on Medical Informatics (Medinfo 2004), page 1543.
K. Lee and W. N. Street.
Cluster-driven refinement for content-based digital image retrieval.
IEEE Transactions on Multimedia 6(6):817-827, December 2004.
Y. Kim and W. N. Street.
An intelligent system for customer targeting: A data mining approach.
Decision Support Systems 37(2):215-228, 2004.

2003

K. Lee and W. N. Street.
A time- and memory-efficient algorithm for automated segmentation of breast cancer nuclei.
Journal of Korea Information Science Society 30(9-10):973--982, October 2003 (in Korean).
K. Lee and W. N. Street.
An adaptive resource-allocating network for automated detection, segmentation, and classification of breast cancer nuclei.
IEEE Transactions on Neural Networks 14(3):680-687, May 2003.
K. Lee and W. N. Street.
Model-based detection, segmentation and classification for image analysis using on-line shape learning.
Machine Vision and Applications 13(4):222-233, 2003.
Y. Kim, W. N. Street, F. Menczer, and G. J. Russell.
Feature selection in data mining.
In J. Wang, editor, Data Mining: Opportunities and Challenges, Idea Group Publishing, 2003, pages 80-105.

2002

F. Menczer, A. E. Monge and W. N. Street.
Adaptive assistants for customized e-shopping.
IEEE Intelligent Systems 17(6):12-19, Nov-Dec 2002.
W. H. Wolberg and W. N. Street.
Computer-generatied nuclear features compared to axillary lymph node status and tumor size as indicators of breast cancer survival.
Human Pathology 33(11):1086-1091, Nov. 2002.
Y. Kim, W. N. Street and F. Menczer.
Evolutionary model selection in unsupervised learning
Intelligent Data Analysis 6:531-556, 2002.
F. Menczer, W. N. Street, N. Vishwakarma, A. Monge and M. Jakobsson.
IntelliShopper: A proactive, personal, private shopping assistant.
First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2002), pages 1001-1008, July 2002.
K. Lee and W. N. Street.
Incremental feature weight learning and its application to a shape-based query system.
Pattern Recognition Letters 23(7): 865-874, May 2002.
Y. Kim, W. N. Street and F. Menczer.
Meta-Evolutionary Ensembles.
IEEE International Joint Conference on Neural Networks (IJCNN 2002), pages 2791-2796, May 2002.

2001

K. Lee and W. N. Street.
Intelligent object-based image retrieval using cluster-driven personal preference learning.
24th ACM International Conference on Research and Development in Information Retrieval (SIGIR 2001), pages 436-437, September 2001.
K. Lee and W. N. Street.
Intelligent image analysis using adaptive resource-allocating network.
IEEE International Workshop on Neural Networks for Signal Processing 2001, pages 363-372, September 2001.
W. N. Street and Y. Kim.
A streaming ensemble algorithm (SEA) for large-scale classification.
Seventh ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-01), pages 377-382, San Francisco, CA, August 2001.
K. Lee and W. N. Street.
Automatic feature mining for personalized digital image retrieval.
International Workshop on Multimedia Data Mining (MDM/KDD 2001), pages 38-43, San Francisco, CA, August 2001.
Y. Kim, W. N. Street and F. Menczer.
Unsupervised model selection via evolutionary local search.
International Joint Conference on Artificial Intelligence (IJCAI-01) Workshop on Wrappers for Performance Enhancement in Knowledge Discovery in Databases, pages 9-14, Seattle, WA, August 2001.
Y. Kim, W. N. Street and F. Menczer.
An evolutionary multi-objective local selection algorithm for customer targeting.
Congress on Evolutionary Computing (CEC2001), pages 759-766, Seoul, Korea, May 2001.
F. Menczer, W. N. Street, M. Degeratu.
Evolving heterogeneous neural agents by local selection.
In V. Honavar, M. Patel and K. Balakrishnan, editors, Advances in the Evolutionary Synthesis of Intelligent Agents, MIT Press, 2001, pages 337-366.

2000

K.-M. Lee and W. N. Street
Automatic segmentation and classification using on-line shape learning.
In Proceedings of the Fifth IEEE Workshop on the Application of Computer Vision (WACV2000), pages 64-70, Palm Springs, CA, December 2000.
Y. Kim and W. N. Street
CoIL Challenge 2000: Choosing and explaining likely caravan insurance customers.
In P. van der Putten and M. van Someren (eds), CoIL Challenge 2000: The Insurance Company Case. Sentient Machine Research, Amsterdam, June 2000. Winner, description task.
K.-M. Lee and W. N. Street
Dynamic learning of shape for automatic object recognition
In ICML-2000 Workshop on Machine Learning of Spatial Knowledge, pages 44-49, Stanford, CA, June-July 2000.
K.-M. Lee and W. N. Street
Learning shapes for automatic image segmentation.
In Proceedings of the INFORMS-KORMS Conference, pages 1461-1468, Seoul, Korea, June 2000.
Y. Kim, W. N. Street, and F. Menczer
Feature selection in unsupervised learning via evolutionary search.
In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-00), pages 365-369, 2000.
K.-M. Lee and W. N. Street
Generalized Hough transforms with flexible templates.
In Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI), Las Vegas, NV, June 2000.
F. Menczer, M. Degeratu, and W. N. Street.
Efficient and scalable Pareto optimization by evolutionary local selection algorithms.
Evolutionary Computation 8(2): 223-247, Summer 2000.
W. N. Street.
Xcyt: A system for remote cytological diagnosis and prognosis of breast cancer.
In L.C. Jain, editor, Soft Computing Techniques in Breast Cancer Prognosis and Diagnosis, World Scientific Publishing, Singapore, 2000, pages 297-322.

1999

W.H. Wolberg, W.N. Street and O.L. Mangasarian.
A comparison of computer-based nuclear analysis versus lymph node status for staging breast cancer.
Clinical Cancer Research 5, 3542-3548, November 1999.
K.-M. Lee and W. N. Street.
A fast and robust approach for automated segmentation of breast cancer nuclei.
In Proceedings of the Second IASTED International Conference on Computer Graphics and Imaging, Palm Springs, CA, October 1999, pages 42--47.
D. Eichmann, M. E. Ruiz, P. Srinivasan, W. N. Street, C. Culy, and F. Menczer.
A cluster-based approach to tracking, detection and segmentation of broadcast news.
DARPA Broadcast News Workshop, Herndon, VA, Feb. 28 - Mar 3 1999.

1998

W. N. Street.
A neural network model for prognostic prediction.
In J. Shavlik, editor, Proceedings of the Fifteenth International Conference on Machine Learning, pages 540-546, San Francisco, 1998. Morgan Kaufmann. (abstract)
W. N. Street and O. L. Mangasarian.
Improved generalization via tolerant training.
Journal of Optimization Theory and Applications 96(2):259-279, February 1998. (abstract)
P. S. Bradley, O. L. Mangasarian, and W. N. Street.
Feature selection via mathematical programming.
INFORMS Journal on Computing 10(2):209-217, 1998. (abstract)

1997

W. H. Wolberg, W. N. Street, and O. L. Mangasarian.
Computer-derived nuclear features compared with axillary lymph node status for breast cancer prognosis.
Cancer Cytopathology 81:172-179, 1997.
P. S. Bradley, O. L. Mangasarian, and W. N. Street.
Clustering via concave minimization.
In M. C. Mozer, M. I. Jordan and T. Petsche, eds., Advances in Neural Information Processing Systems 9, pages 368-374, MIT Press, Cambridge, MA, 1997. (abstract)
W. H. Wolberg, W. N. Street, and O. L. Mangasarian.
Computerized diagnosis of breast fine needle aspirates.
The Breast Journal, Vol. 3 No. 2, pages 77-80, March/April 1997.
M. W. Teague, W. H. Wolberg, W. N. Street, O. L. Mangasarian, S. C. Call, and D. L. Page.
Indeterminate fine needle aspiration of the breast: Image analysis aided diagnosis.
Cancer Cytopathology 81: 129-135, 1997. (abstract)

1996

W. N. Street, O. L. Mangasarian, and W. H. Wolberg.
Individual and collective prognostic prediction.
Technical Report 96-01, Computer Sciences Department, University of Wisconsin, Madison, WI, January 1996. (abstract)

1995

W. N. Street, O. L. Mangasarian, and W.H. Wolberg.
An inductive learning approach to prognostic prediction.
In A. Prieditis and S. Russell, editors, Proceedings of the Twelfth International Conference on Machine Learning, pages 522-530, San Francisco, 1995. Morgan Kaufmann. (abstract)
O.L. Mangasarian, W.N. Street and W.H. Wolberg.
Breast cancer diagnosis and prognosis via linear programming.
Operations Research, 43(4), pages 570-577, July-August 1995. (abstract)
W.H. Wolberg, W.N. Street, D.M. Heisey, and O.L. Mangasarian.
Computer-derived nuclear features distinguish malignant from benign breast cytology.
Human Pathology, 26:792-796, 1995. (abstract)
W.H. Wolberg, W.N. Street, D.M. Heisey, and O.L. Mangasarian.
Computerized breast cancer diagnosis and prognosis from fine needle aspirates.
Archives of Surgery 1995;130:511-516. (abstract)
W.H. Wolberg, W.N. Street, D.M. Heisey, and O.L. Mangasarian.
Computer-derived nuclear ``grade'' and breast cancer prognosis.
Analytical and Quantitative Cytology and Histology, Vol. 17, No. 4, pages 257-264, August 1995. (abstract)
W.H. Wolberg, W.N. Street, and O.L. Mangasarian.
Image analysis and machine learning applied to breast cancer diagnosis and prognosis.
Analytical and Quantitative Cytology and Histology, Vol. 17 No. 2, pages 77-87, April 1995. (abstract)

1994

W.H. Wolberg, W.N. Street, and O.L. Mangasarian.
Machine learning techniques to diagnose breast cancer from fine-needle aspirates.
Cancer Letters 77 (1994) 163-171. (abstract)
J.S. Oghalai, W.N. Street, and W.S. Rhode.
A neural network based spike discriminator.
Journal of Neuroscience Methods 54 (1994) 9-22. (abstract)
W. N. Street.
Cancer Diagnosis and Prognosis via Linear-programming-based Machine Learning.
Ph.D. Thesis, Computer Sciences Department, University of Wisconsin-Madison, Madison, WI 1994.
O. L. Mangasarian, W. N. Street and W. H. Wolberg.
Breast cancer diagnosis and prognosis via linear programming.
AAAI Spring Symposium on Artificial Intelligence in Medicine, Stanford, CA, March 1994.

1993

W.H. Wolberg, W.N. Street, and O.L. Mangasarian.
Breast cytology diagnosis via digital image analysis.
Analytical and Quantitative Cytology and Histology, Vol. 15 No. 6, pages 396-404, December 1993. (abstract)
W.N. Street, W.H. Wolberg and O.L. Mangasarian
Nuclear feature extraction for breast tumor diagnosis
IS&T/SPIE 1993 International Symposium on Electronic Imaging: Science and Technology, volume 1905, pages 861-870, San Jose, CA, 1993. (abstract)

1991

W. N. Street.
Toward automated cancer diagnosis: An interactive system for cell feature extraction.
Technical Report 1052, Computer Sciences Department, University of Wisconsin, Madison, WI, October 1991.