Information Science and Technology Center Report for Sept 2000 - Sept 2005 Period

Information Science and Technology Center

Report for Sept 2000 - Sept 2005 Period

 

 

IV. Research Activities

(C) Publications

ZORAN OBRADOVIC

Publications in 2000 - 2005 period

Peer Reviewed Book Chapters

1. Obradovic, Z. and Vucetic, S. (2004) "Challenges in Scientific Data Mining: Heterogeneous, Biased, and Large Sample," a peer reviewed book chapter at The Next Generation Data Mining (editors: H. Kargupta, A. Joshi, K. Sivakumar, Y. Yesha). AAAI/MIT Press, pp. 381-401.

2. Drossu, R. and Obradovic, Z. (2000) "Data Mining Techniques for Designing Efficient Neural Network Time Series Predictors," peer reviewed book chapter no. 10 in Cloete, I. and Zurada, J. Knowledge-Based Neurocomputing, MIT Press, pp. 325-368.

3. Romero, P., Obradovic, Z. and Fletcher J. (2000) "Integration of Heterogeneous Sources of Partial Domain Knowledge," peer reviewed book chapter no. 7 in Cloete, I. and Zurada, J. Knowledge-Based Neurocomputing, MIT Press, pp. 217-250.

Journal Articles

4. Radivojac, P., Vucetic, S., O'Connor, T.R., Uversky, V.N., Obradovic, Z. and Dunker, A.K. "Calmodulin Signaling: Analysis and Prediction of a Disorder-Dependent Molecular Recognition," Proteins: Structure, Function and Bioinformatics, in press.

5. Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., and Dunker, A.K. "Exploiting Heterogeneous Sequence Properties Improves Prediction of Protein Disorder," Proteins: Structure, Function and Genetics, in press.

6. Peng, K., Vucetic, S., Radivojac, P., Brown, C.J., Dunker, A.K. and Obradovic, Z. (2005) "Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information," Journal of Bioinformatics and Computational Biology, vol. 3, no. 1, pp. 35-60.

7. Vucetic, S., Obradovic, Z., Vacic, V., Radivojac, P., Peng, K., Lawson, J.D., Brown, C.J., Sikes, J.G., Newton, C. and Dunker, A.K. (2005) "Disprot: A Database of Protein Disorder," Bioinformatics, Vol 21, No. 1, pp. 137-40.

8. Pokrajac, D., Megalooikonomou, V., Lazarevic, A., Kontos, D. and Obradovic, Z. (2005) "Applying Spatial Distribution Analysis Techniques to Classification of 3D Medical Images," International Journal Artificial Intelligence in Medicine, Vol. 33, No 3, pp. 261-80.

9. Vucetic, S. and Obradovic, Z. (2005) "Collaborative Filtering Using a Regression-Based Approach," Knowledge and Information Systems, Vol. 7, No. 1, pp. 1-22.

10. Romero, P., Obradovic, Z., and Dunker, A.K.(2004) "Natively disordered proteins : functions and predictions," Appl Bioinformatics, 3(2-3), pp.105-13.

11. Radivojac, P., Chawla, N. V., Dunker, A.K., and Obradovic, Z. (2004) "Classification and Knowledge Discovery in Protein Databases," Journal of Biomedical Informatics, Vol. 37, pp. 224-239.

12. Iakoucheva, L.M., Radivojac, P., Brown, C.J., O'Connor, T.R., Sikes, J.G., Obradovic, Z. and Dunker, A.K. (2004) "The Importance of Intrinsic Disorder for Protein Phosphorylation," Nucleic Acids Research, vol. 32, no. 3, pp. 1037-1049.

13. Obradovic, Z, Peng, K, Vucetic, S., Radivojac, P., Brown, C., and Dunker, A.K. (2003) "Predicting Intrinsic Disorder from Amino Acid Sequence," Proteins: Structure, Function and Genetics, vol. 53 Suppl 6, pp. 566-72.

14. Radivojac, P., Obradovic, Z., Smith D.K., Zhu, G., Vucetic, S., Brown, C., Lawson, J.D. and Dunker, A.K., (2003) "Protein flexibility and intrinsic disorder," Protein Science, vol. 13, pp. 71-80.

15. Vucetic, S., Brown C., Dunker A.K and Obradovic, Z. (2003) "Flavors of Protein Disorder," Proteins: Structure, Function and Genetics, vol. 52. pp. 573-584

16. Smith, D. K., Radivojac, P., Obradovic, Z., Dunker, A. K. and Zhu, G. (2003) "Improved Amino Acid Flexibility Parameters," Protein Science, vol 12, pp. 1060-1072.

17. Pokrajac, D., Hoskinson, R.L. and Obradovic, Z. (2003) "Modeling Spatial-Temporal Data with a Short Observation History," Knowledge and Information Systems. Vol. 5, pp. 368-386.

18. Iakoucheva, L.M., Brown, C.J., Lawson, J.D., Obradovic, Z. and Dunker A.K. (2002) "Intrinsic Disorder in Cell-signaling and Cancer-associated Proteins," Journal of Molecular Biology, vol. 323, pp. 573-584.

19. Dunker, A.K., Brown, C.J., Lawson, J.D., Iakoucheva, L.M. and Obradovic, Z. (2002) "Intrinsic Disorder and Protein Function," Biochemistry, May 28th, vol. 41, issue 21, pp. 6573 - 6582.

20. Dunker, A.K., Brown, C.J. and Obradovic, Z. (2002) "Identification and Functions of Usefully Disordered Proteins," Advances in Protein Chemistry, vol. 62, pp. 25-49.

21. Pokrajac, D., Fiez, T. and Obradovic, Z. (2002) "A Data Generator for Evaluating Spatial Issues in Precision Agriculture," Precision Agriculture. Vol 3,no.3, pp. 259-282.

22. Lazarevic, A. and Obradovic, Z. (2002) "Knowledge Discovery in Multiple Spatial Databases," Neural Computing and Applications, vol 10. no. 4, pp. 339-350.

23. Lazarevic, A. and Obradovic, Z. (2002) "Boosting Algorithms for Parallel and Distributed Learning," Distributed and Parallel Databases: An International Journal, Special Issue on Parallel and Distributed Data Mining, vol. 2, pp. 203-229.

24. Dunker, A.K and Obradovic, Z. (2001) "The Protein Trinity - Linking Function and Disorder," Nature Biotechnology, vol. 19, Sept., pp. 805-806.

25. Dunker A.K., Lawson J.D., Brown C.J., Romero P., Oh J., Oldfield C.J., Campen A.M., Ratlif, Hipps K.W., Ausio J., Nissen M.S., Reeves R., Kang C.H., Kissinger C.R., Bailey R.W., Griswold M.D., Chiu W., Garner E.C. and Obradovic Z. (2001) "Intrinsically Disordered Proteins," Journal of Molecular Graphics and Modeling, vol. 19, pp. 28-61.

26. Romero, P., Obradovic, Z., Li, X., Garner, E., Brown, C.J. and Dunker, A.K. (2001) "Sequence Complexity and Disordered Protein," Proteins: Structure, Function and Genetics, vol. 42, pp. 38-48.

27. Lazarevic, A. and Obradovic, Z. (2001) "Adaptive Boosting Techniques in Heterogeneous and Spatial Databases," Intelligent Data Analysis, Vol. 5, pp.1-24.

28. Pokrajac, D., Lazarevic, A. and Obradovic, Z. (2001) "Exploration-Exploitation Trade-Off in Machine Learning," Facta Universitatis, Ser. Elec. and Energ., vol. 14, no. 1, pp. 67-90.

29. Vucetic, S., Obradovic, Z. and Tomsovic, K. (2001) "Price-Load Relationships in California's Electricity Market," IEEE Trans. on Power Systems, Vol. 16, No. 2, pp. 280-286.

30. Obradovic, Z. and Srikumar, R. (2001) "Parallelizing Design of Application Tailored Neural Networks," Facta Universitatis, Ser. Mathematics and Informatics, vol. 16, pp. 97-108.

31. Obradovic, Z. and Srikumar, R. (2000) "Constructive Neural Networks Design Using Genetic Optimization," Facta Universitatis, Ser. Mathematics and Informatics, vol. 15, pp. 133-146.

32. Romero, P., Obradovic, Z and Dunker K. (2000) "Intelligent Data Analysis for Identifying Protein Disorder," Issues on Application of Data Mining, Artificial Intelligence Review, Vol. 14, No. 6, S2, pp. 447-484.

33. Vucetic, S., Fiez, T. and Obradovic, Z. (2000) "Analyzing the Influence of Data Aggregation and Sampling Density on Spatial Estimation," Water Resources Research, Vol. 36 , No. 12 , pp. 3721-3731.

Fully Refereed Conference Articles

34. Midic, U., Dunker, K. and Obradovic, Z. (2005) "Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments," Proc. 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, CA, Nov. 2005.

35. Peng, K, Vucetic, S. and Obradovic, Z. (2005) "Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets," Proc. 5th SIAM Int'l Conf. on Data Mining, Newport Beach, CA, pp.621-625.

36. Han, B., Vucetic, S., Braverman, A. and Obradovic, Z (2005) "Integration of Deterministic and Statistical Algorithms for Aerosol Retrieval," Proc. International Conference on Novel Applications of Neural Networks in Engineering, Lillie, France, Aug. 2005, pp. 85-92.

37. Han, B., Vucetic, S., Braverman, A. and Obradovic, Z. (2005) "Construction of an accurate geospatial predictor by fusion of global and local models," Proc. IEEE 8th International Conference on Information Fusion, B.11.2 pp. 1-8, Philadelphia, PA, July 2005.

38. Xu, Q., Han, B., Li, Y., Braverman, A., Obradovic, Z. and Vucetic, S. (2005) "Improving aerosol retrieval performance by integrating AERONET, MISR, and MODIS data products," Proc. IEEE 8th International Conference on Information Fusion, B.11.3 pp. 1-8, Philadelphia, PA, July 2005.

39. Xie, H., Vucetic, S., Sun, H., Hedge, P and Obradovic, Z. (2004) "Characterization of Gene Functional Expression Profiles of Plasmodium Falciparum," Proc. 5 Conf. on Critical Assessment of Microarray Data Analysis, Durham, North Carolina.th

40. Radivojac, P., Obradovic, Z., Dunker, A.K. and Vucetic, S. (2004) "Feature Selection Filters Based on Permutation Test," Proc. 15th European Conference on Machine Learning, Pisa, Italy.

41. Peng, K., Obradovic, Z. and Vucetic, S., (2004) "Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets," Proc. 16th European Conf. on Artificial Intelligence, Valencia, Spain, pp. 623-627.

42. Pokrajac, D., Lazarevic, A., Singleton, T. and Obradovic, Z. (2004) "Localized Neural Network Based Distributional Learning for Knowledge Discovery in Protein Databases," Proc. Int'l Joint Conf. Neural Networks, Budapest, Hungary.

43. Peng, K., Obradovic, Z. and Vucetic, S., (2004) "Exploring Bias in the Protein Data Bank Using Contrast Classifiers," Proc. 9th Pacific Symposium on Biocomputing, Hawaii, pp. 435-446.

44. Kontos, D., Megalooikonomou, V., Pokrajac, D., Lazarevic, A., Obradovic, Z., Ford, J., Makedon, F. and Saykin, A.J. (2004) "Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease," Proc. 7th Int'l Conf. on Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science series, Springer, Saint-Malo, France, Lecture Notes in Computer Science 3217, Vol. 2, pp. 727-735.

45. Peng, K., Vucetic, S., Han, B., Xie H. and Obradovic, Z. (2003) "Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining," Proc. 3rd IEEE Int'l Conf. Data Mining, Melbourne, Fl, pp. 267-274.

46. Han, B., Vucetic, S. and Obradovic, Z. (2003) "Reranking Medline Citations by Relevance to a Difficult Biological Query," Proc. IASTED Int'l Conf. Neural Networks and Computational Intelligence, Cancun, Mexico, pp. 38-43.

47. Vucetic, S., Pokrajac, D., Xie H. and Obradovic, Z. (2003) "Detection of Underrepresented Biological Sequences Using Class-Conditional Distribution Models," Proc. Third SIAM Int'l Conf. on Data Mining, San Francisco, CA, pp. 279-283.

48. Radivojac, P., Obradovic, Z., Brown, C.J. and Dunker, A.K. (2003) "Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions," Proc. 8th Pacific Symposium on Biocomputing , Hawaii, pp. 216-227.

49. Radivojac, P., Sivalingam, K. and Obradovic, Z. (2003) "Learning from Class-Imbalanced Data in Wireless Sensor Networks," Proc. IEEE Semiannual Vehicular Technology Conference Fall 2003, Orlando, Fl.

50. Radivojac, P., Obradovic, Z., Brown, C.J. and Dunker, A.K. (2002) "Improving Sequence Alignments for Intrinsically Disordered Proteins," Proc. 7th Pacific Symposium on Biocomputing , Hawaii, pp. 589-600.

51. Dunker, A.K., Brown. C.J, Lawson, J.D., Iakoucheva-Sebat, L.M., Vucetic, S. and Obradovic, Z. (2002) "The Protein Trinity: Structure/Function Relationships that Include Intrinsic Disorder," Proc. 2002 Miami Nature Biotechnology Winter Symp., The Scientific Word, 2(S2), 49-50.

52. Megalooikonomou, V., Pokrajac, D., Lazarevic, A., and Obradovic, Z. (2002) "Effective Classification of 3D Image Data using Partitioning Methods," Proc. SPIE Visualization and Data Analysis 2002 Conf., San Jose, CA, pp. 62-73.

53. Pokrajac, D., Hoskinson, R., Lazarevic, A., Obradovic, Z. (2002) "Spatial-Temporal Techniques for Prediction and Compression of Soil Fertility Data," Proc. 6th International Conference on Precision Agriculture, Minneapolis, MN.

54. Hoskinson, R., Pokrajac, D., Obradovic, Z., Lazarevic, A. (2002) "The Unpredictability of Soil Fertility across Space and Time," Proc. 6th International Conference on Precision Agriculture, Minneapolis, MN.

55. Vucetic, S., Radivojac, P., Dunker, A.K., Brown, C.J. and Obradovic, Z. (2001) "Methods for Improving Protein Disorder Prediction," Proc. 2001 IEEE/INNS International Joint Conference on Neural Networks, Washington D.C., vol. 4, pp. 2718-2723. ISBN: 0-7803-7044-9

56. Williams, R.M., Obradovic, Z., Mathura, V., Braun, W., Garner, E.C., Young, J., Takayama, S., Brown, C.J. and Dunker A.K. (2001) "The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder," Proc. 6th Pacific Symposium on Biocomputing, Maui, Hawaii, pp. 89-100.

57. Lazarevic, A., Pokrajac, D., Megalooikonomou, V. and Obradovic, Z. (2001) "Distinguishing Among 3-D Distributions for Brain Image Data Classification," Proc. 4th International Conference of Neural Networks and Expert Systems in Medicine and Health Care, Milos Island, Greece, pp. 389-396.

58. Pokrajac, D., Lazarevic, A., Megalooikonomou, V. and Obradovic, Z. (2001) "Classification of Brain Image Data using Measures of Distributional Distance," Human Brain Mapping, Brighton, UK.

59. Pokrajac, D. and Obradovic, Z. (2001) "Improved Spatial-Temporal Forecasting through Mining," Proc. First SIAM Int'l Conf. on Data Mining,, April 5-7, 2001, Chicago, USA.

60. Lazarevic, A. and Obradovic, Z. (2001) "Data Reduction using Multiple Models Integration," Principles of Knowledge Discovery in Databases, Proc. 5th European Conf., Freiburg, Germany, pp. 301-313.

61. Lazarevic, A. and Obradovic, Z. (2001) "The Distributed Boosting Algorithm," Proc. 7th ACM SIGKDD, Int'l Conf. on Knowledge Discovery and Data Mining, San Francisco, CA, pp. 311-316.

62. Lazarevic, A. and Obradovic, Z. (2001) "The Effective Pruning of Neural Network Ensembles," Proc. 2001 IEEE/INNS International Joint Conference on Neural Networks, Washington D.C., pp. 796-801.

63. Lazarevic, A. and Obradovic, Z. (2001) "Boosting Localized Classifiers in Heterogeneous Databases," Proc. First SIAM Int'l Conf. on Data Mining, April 5-7, Chicago, USA.

64. Vucetic, S. and Obradovic, Z. (2001) "Classification on data with biased class distribution," Proc. 12th European Conf. on Machine Learning, Freiburg, Germany, pp. 527-538.

65. Dunker, A.K., Obradovic, Z., Romero, P., Garner, E.C and Brown, C.J. (2000) "Intrinsic Protein Disorder in Complete Genomes," In S. Miyano and T. Takagi (editors) Proc. Genome Informatics 11, Tokyo, Japan, pp. 161-171.

66. Li, X., Obradovic, Z., Brown, C. J., Garner, E. C., Keith A. K. (2000) "Comparing Predictors of Disordered Protein," In S. Miyano and T. Takagi (editors) Proc. Genome Informatics 11, Tokyo, Japan, pp. 172-184.

67. Vucetic S. and Obradovic Z. (2000) "Discovering Homogeneous Regions in Spatial Data through Competition," Machine Learning: Proc. of the 17th Int'l. Conf., Stanford, CA, June 2000, pp. 1095-1102.

68. Pokrajac D. and Obradovic Z. (2000) "Combining Regressive and Auto-Regressive Models for Spatial-Temporal Prediction," Machine Learning of Spatial Knowledge Workshop at the 17th Int'l. Conf. on Machine Learning, Stanford, CA, June 2000.

69. Pokrajac, D. and Obradovic, Z. (2000) "Learning Heterogeneous Functions from Sparse and Non-Uniform Samples," Proc. IEEE-INNS-ENNS Int'l Joint Conf. on Neural Networks, Como, Italy, July 2000.

70. Pokrajac, D., Obradovic, Z. and Fiez, T. (2000) "Understanding the Influence of Noise, Sampling Density and Data Distribution on Spatial Prediction Accuracy," Track on Simulation Methodology and Control Engineering and Artificial Intelligence, R. V. Landeghem (Ed.): Proc. 14th European Simulation Multiconference - Simulation and Modeling: Enablers for a Better Quality of Life, May 23-26, 2000, Ghent, Belgium. SCS Europe 2000, ISBN 1-56555-204-0, pp. 706-708.

71. Pokrajac, D., Fiez, T. and Obradovic, Z. (2000) "A Tool for Controlled Knowledge Discovery in Spatial Domains," Track on Simulation Methodology, Tools and Standards, R. V. Landeghem (Ed.): Proc. 14th European Simulation Multiconference - Simulation and Modeling: Enablers for a Better Quality of Life, May 23-26, 2000, Ghent, Belgium. SCS Europe 2000, ISBN 1-56555-204-0, pp. 26-32.

72. Lazarevic, A. Fiez, T. and Obradovic, Z. (2000) "Adaptive Boosting for Spatial Functions with Unstable Driving Attributes," Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kyoto, Japan, April 2000, Computer Science Editorial 3, Springer-Verlag, pp. 329-340.

73. Lazarevic, A. Fiez, T. and Obradovic, Z. (2000) "A Software System for Spatial Data Analysis and Modeling," Proc. Data Mining Minitrack at the IEEE Hawaii Int'l Conf. On System Sciences, IEEE Computer Society Press, January 2000.

74. Lazarevic, A., Pokrajac, D., and Obradovic, Z. (2000) "Distributed Clustering and Local Regression for Knowledge Discovery in Multiple Spatial Databases," Proc. 8th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 2000, pp. 129-134.

75. Vucetic, S. and Obradovic, Z. (2000) "A Constructive Competitive Regression Method for Analysis and Modeling of Non-stationary Time Series," Proc. the First Int'l Workshop on Computational Intelligence in Economics and Finance at the Fifth Int'l Conf. On Information Science, Atlantic City, N.Y., USA, vol. 2, pp. 978-981.

76. Vucetic S. and Obradovic Z. (2000) "A Regression-Based Approach for Scaling-Up Personalized Recommender Systems in E-Commerce," Web Mining for E-Commerce Workshop at the Sixth ACM SIGKDD Inl'l Conf. on Knowledge Discovery and Data Mining, Boston, MA.

77. Vucetic, S. and Obradovic, Z. (2000) "Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases," Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kyoto, Japan, April 2000, Computer Science Editorial 3, Springer-Verlag, pp. 29-39.

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ROLF LAKAEMPER

Publications in Jan. 2003 - 2005 period (since joining the center)

Journal Articles

1. L. J. Latecki, R. Lakämper and D. Wolter: Optimal Partial Shape Similarity. Image and Vision Computing Journal (IVC) 23, pp. 227-236, 2005.

2. L. J. Latecki and R. Lakämper: Application of Planar Shape Comparison to Object Retrieval in Image Databases. Pattern Recognition (PR), pp. 15-29, 35 (1), 2002.

Fully Refereed Conference Articles

3. L. J. Latecki, V. Megalooikonomou, Q. Wang , R. Lakaemper, C. A. Ratanamahatana, and E. Keogh: Partial Elastic Matching of Time Series. IEEE Int. Conf. on Data Mining (ICDM), New Orleans, USA, November 2005. (AR=22.4%)

4. L. J. Latecki, V. Megalooikonomou, Q. Wang , R. Lakaemper, C. A. Ratanamahatana, and E. Keogh. Elastic Partial Matching of Time Series. 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, Portugal, October 2005. (AR=28%)

5. R. Lakämper, L. J. Latecki, and D. Wolter: Incremental Multi-Robot Mapping. IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Edmonton, Canada, August 2005. (AR=54%)

6. R. Lakämper, L. J. Latecki, and D. Wolter: Geometric Robot Mapping. Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), April 2005.

7. D. Wolter, L. J. Latecki, R. Lakämper, X. Sun: Shape-Based Robot Mapping. 27th German Conf. on Artificial Intelligence, Ulm, Germany, September 2004. (AR=31%)

8. L. J. Latecki, R. Lakämper, X. Sun, D. Wolter: Building Polygonal Maps from Laser Range Data. Int. Cognitive Robotics Workshop, Valencia, Spain, August 2004.

9. L. J. Latecki, R. Lakämper, X. Sun, D. Wolter: Construction of Global Maps with Polygonal Objects from Laser Range Data. IASTED Int. Conf. on Robotics and Applications, Honolulu, Hawaii, August 2004.

10. R. Lakämper, L. J. Latecki, V. Megalooikonomou, Q. Wang, X. Wang: Learning Descriptive and Distinctive Parts of Objects with a Part-Based Shape Similarity Measure. IASTED Int. Conf. on Signal and Image Processing (SIP), Honolulu, Hawaii, August 2004.

11. L. J. Latecki and R. Lakämper. Cognitively Motivated Shape Similarity. IASTED Computers Graphics and Imaging (CGIM), Kauai, Hawaii, August 2004.

12. R. Lakämper and L. J. Latecki. Database Query by Interactive Shape Selection. IASTED Internet and Multimedia Systems and Applications (IMSA), Kauai, Hawaii, August 2004.

13. L. J. Latecki, R. Lakämper, and D. Wolter: Shape Similarity and Visual Parts. Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), pp. 34-51, November 2003. (invited lecture)

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LONGIN JAN LATECKI

Publications in 2002 - 2005 period (since joining the center)

Edited Books

1. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the IS&T/SPIE Conf. on Vision Geometry XIII, SPIE Vo. 5675, San Jose, California, January 2005.

2. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the IS&T/SPIE Conf. on Vision Geometry XII, SPIE Vo. 5300, San Jose, California, January 2004.

3. L. J. Latecki, A. Gross, and R. Melter (eds.): Special Issue on Shape Representation and Similarity for Image Databases. Pattern Recognition, Vol. 35, No. 1, 2002.

4. L. J. Latecki, D. Mount, A. Wu, and (eds.): Proc. of the SPIE Conf. on Vision Geometry XI, Seattle, Washington, July 2002.

Journal Articles

5. L. J. Latecki, R. Miezianko, V. Megalooikonomou, D. Pokrajac: Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video, International Journal of Intelligent Systems Technologies and Applications, to appear.

6. L. J. Latecki, R. Miezianko, and D. Pokrajac. Reliability of motion features in surveillance videos. Integrated Computer-Aided Engineering (ICAE) Journal, 12(3), pp. 279-290, 2005.

7. M. Sobel and L. J. Latecki: Data Visualization by Pairwise Distortion Minimization. Communications in Statistics, Theory and Methods 34 (6), pp. 1379-1391, 2005.

8. M. Siqueira, J. Gallier, and L. J. Latecki. Making 3D binary digital images well composed. Electronic Imaging (EI), 15(2), pp. 5, June 2005.

9. L. J. Latecki, R. Lakämper and D. Wolter: Optimal Partial Shape Similarity. Image and Vision Computing Journal (IVC) 23, pp. 227-236, 2005.

10. L. J. Latecki, T. Jin, and J. Mulik: A Two-stream Approach to Priority Management and Adaptive Rate Control in Multimedia Applications. Journal of Internet Technology 5(4), pp. 331-339, 2004.

11. U. Eckhardt and L.J. Latecki: Topologies for the Digital Spaces Z2 and Z3. Computer Vision and Image Understanding (CVIU) 90, pp. 295-312, 2003.

12. C. Hennig and L. J. Latecki: The Choice of Vantage Objects for Image Retrieval. Pattern Recognition (PR) 36, pp. 2187-2196, 2003.

13. L.J. Latecki and A. Rosenfeld: Recovering a Polygon form Noisy Data. Computer Vision and Image Understanding (CVIU) 86, 1-20, 2002.

14. L. J. Latecki and R. Lakämper: Application of Planar Shape Comparison to Object Retrieval in Image Databases. Pattern Recognition (PR), pp. 15-29, 35 (1), 2002.

Fully Refereed Conference Articles

15. L. J. Latecki, V. Megalooikonomou, Q. Wang , R. Lakaemper, C. A. Ratanamahatana, and E. Keogh: Partial Elastic Matching of Time Series. IEEE Int. Conf. on Data Mining (ICDM), New Orleans, USA, November 2005. (AR=22.4%)

16. L. J. Latecki, V. Megalooikonomou, Q. Wang , R. Lakaemper, C. A. Ratanamahatana, and E. Keogh. Elastic Partial Matching of Time Series. 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, Portugal, October 2005. (AR=28%)

17. L. J. Latecki, R. Miezianko, and D. Pokrajac: Tracking Motion Objects in Infrared Videos. Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, Como, Italy, September 2005.

18. D. Pokrajac, V Zeljkovic, L. J. Latecki. Spatial-Temporal Algorithm for Moving Objects Detection in Infra Red Video Sequences. 7th Int. Conf. on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS), Nis, Serbia, September 2005.

19. R. Lakämper, L. J. Latecki, and D. Wolter: Incremental Multi-Robot Mapping. IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Edmonton, Canada, August 2005. (AR=54%)

20. L. J. Latecki, R. Miezianko, and D. Pokrajac. Activity and Motion Detection Based on Measuring Texture Change. Int. Conf. on Machine Learning and Data Mining in Pattern Recognition (MLDM), LNAI 3587, pp. 476 - 486, Leipzig, Germany, July 2005.

21. D. Pokrajac, V Zeljkovic, L. J. Latecki. Noise-Resilient Detection of Moving Objects Based on Spatial-Temporal Blocks. 47th Int. Symposium ELMAR-2005 focused on Multimedia Systems and Applications, Zadar, Croatia, June 2005.

22. R. Lakämper, L. J. Latecki, and D. Wolter: Geometric Robot Mapping. Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), April 2005.

23. D. Wolter, L. J. Latecki, R. Lakämper, X. Sun: Shape-Based Robot Mapping. 27th German Conf. on Artificial Intelligence, Ulm, Germany, September 2004. (AR=31%)

24. L. J. Latecki, R. Miezianko, and D. Pokrajac. Evaluating Reliability of Motion Features in Surveillance Videos. NIST Workshop on Performance Metrics for Intelligent Systems, Gaithersburg , MD, August 2004.

25. D. Wolter and L. J. Latecki: Shape Matching for Robot Mapping. 8th Pacific Rim Int. Conf. on Artificial Intelligence (PRICAI), Auckland, New Zealand, August 2004. (AR=26.7%)

26. L. J. Latecki, R. Lakämper, X. Sun, D. Wolter: Building Polygonal Maps from Laser Range Data. Int. Cognitive Robotics Workshop, Valencia, Spain, August 2004.

27. L. J. Latecki, R. Lakämper, X. Sun, D. Wolter: Construction of Global Maps with Polygonal Objects from Laser Range Data. IASTED Int. Conf. on Robotics and Applications, Honolulu, Hawaii, August 2004.

28. R. Lakämper, L. J. Latecki, V. Megalooikonomou, Q. Wang, X. Wang: Learning Descriptive and Distinctive Parts of Objects with a Part-Based Shape Similarity Measure. IASTED Int. Conf. on Signal and Image Processing (SIP), Honolulu, Hawaii, August 2004.

29. L. J. Latecki and R. Lakämper. Cognitively Motivated Shape Similarity. IASTED Computers Graphics and Imaging (CGIM), Kauai, Hawaii, August 2004.

30. R. Lakämper and L. J. Latecki. Database Query by Interactive Shape Selection. IASTED Internet and Multimedia Systems and Applications (IMSA), Kauai, Hawaii, August 2004.

31. L. J. Latecki, R. Miezianko, and D. Pokrajac. Motion Detection Based on Local Variation of Spatiotemporal Texture. IEEE CVPR Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS), Washington, July 2004. (AR=59%)

32. L. J. Latecki, T. Jin, and J. Mulik: A Two-stream Approach for Adaptive Rate Control in Multimedia Applications. IEEE Int. Conf. on Multimedia and Expo, Taipei, June 2004.

33. D. Pokrajac and L. J. Latecki. Entropy-Based Approach for Detecting Feature Reliability. Invited Paper, 48th Conf. for Electronics, Telecommunications, Computers, Automation, and Nuclear Engineering (ETRAN). Cacak, Serbia, June 2004.

34. L. J. Latecki, R. Lakämper, and D. Wolter: Shape Similarity and Visual Parts. Int. Conf. on Discrete Geometry for Computer Imagery (DGCI), pp. 34-51, November 2003. (invited lecture)

35. L. J. Latecki, R. Venugopal, M. Sobel, and S. Horvath: Tree-structured partitioning based on splitting histograms of distances. IEEE Int. Conf. on Data Mining (ICDM), pp. 577-580, November 2003. (AR=23.5%)

36. D. Pokrajac and L. J. Latecki: Spatiotemporal Blocks-Based Moving Objects Identification and Tracking, IEEE Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), October 2003.

37. L. J. Latecki, X. Wen, and N. Ghubade: Detection of Changes in Surveillance Videos. Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, Miami, pp. 237-242, July 2003.

38. L. J. Latecki, K. Kulkarni, and J. Mulik: Better Audio Performance when Video Stream is Monitored by TCP Congestion Control. Proc. IEEE Int. Conf. on Multimedia and Expo, Baltimore, July 2003.

39. L. J. Latecki and D. de Wildt: Automatic Recognition of Unpredictable Events in Videos. Proc. of Int. Conf. on Pattern Recognition (ICPR), Quebec City, Volume 2, 2002.

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VASILEIOS MEGALOIKONOMOU

Publications in 2000 - 2005 period

Peer Reviewed Book Chapters

1. V. Megalooikonomou and E. H. Herskovits, "Mining Structure-Function Associations in a Brain Image Database", chapter in Medical Data Mining and Knowledge Discovery, pp. 153-179, K.J. Cios (ed.), Springer-Verlag, 2001.

Journal Articles

2. D. Kontos and V. Megalooikonomou, "Fast and effective characterization for classification and similarity searches of 2D and 3D spatial region data", Pattern Recognition, Vol. 38, No. 11, pp. 1831-1846, 2005.

3. L. J. Latecki, V. Megalooikonomou, R. Miezianko, D. Pokrajac, "Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video", International Journal of Intelligent Systems Technologies (IJISTA), Special Issue on Intelligent Image and Video Processing and Applications: The Role of Uncertainty (to appear).

4. D. Pokrajac, V. Megalooikonomou, A. Lazarevic, D. Kontos, Z. Obradovic, "Applying Spatial Distribution Analysis Techniques to Classification of 3D Medical Images", Artificial Intelligence in Medicine, Vol. 33, No. 3, pp. 261-280, Mar. 2005.

5. D. Kontos, Q. Wang, V. Megalooikonomou, A. H. Maurer, L. C. Knight, S. Kantor, R. S. Fisher, H. P. Simonian, H. P. Parkman, "A tool for handling uncertainty in segmenting regions of interest in medical images", International Journal of Intelligent Systems Technologies (IJISTA), Special Issue on Intelligent Image and Video Processing and Applications: The Role of Uncertainty (to appear).

6. K. Kumaraswamy, V. Megalooikonomou and C. Faloutsos, "Fractal Dimension and Vector Quantization", Information Processing Letters, Vol. 91, No. 3, pp. 107-113, 2004.

7. V. Megalooikonomou and Y. Yesha, "Space Efficient Quantization for Decentralized Estimation by a Multisensor Fusion System", Information Fusion, Vol. 5, No. 4, pp. 299-308, 2004.

8. H. P. Simonian, A. H. Maurer, L. C. Knight, S. Kantor, D. Kontos, V. Megalooikonomou, R. S. Fisher, H. P. Parkman, "Simultaneous Assessment of Gastric Accommodation and Emptying: Studies with Liquid and Solid Meals", Journal of Nuclear Medicine, Vol. 45, No. 7, pp. 1155-1160, 2004.

9. V. Megalooikonomou and Y. Yesha, "Quantization for Distributed Estimation using Neural Networks", Information Sciences, Vol. 148, No. 1-4, pp. 185-199, 2002.

10. V. Megalooikonomou and Y. Yesha, "Quantizer Design for Distributed Estimation with Communication Constraints and Unknown Observation Statistics", IEEE Transactions on Communications, Vol. 48, No. 2, pp. 181-184, 2000.

11. V. Megalooikonomou, J. Ford, L. Shen, F. Makedon and A. Saykin, "Data mining in brain imaging", Statistical Methods in Medical Research, Vol. 9, No. 4, pp. 359-394, 2000.

12. V. Megalooikonomou, C. Davatzikos, and E. H. Herskovits, "A Simulator for Evaluation of Methods for the Detection of Lesion-Deficit Associations", Human Brain Mapping, Vol. 10, No. 2, pp. 61-73, 2000.

Fully Refereed Conference Articles

13. L. J. Latecki, V. Megalooikonomou, Q. Wang, R. Lakaemper, C. A. Ratanamahatana, and E. Keogh, "Partial Elastic Matching of Time Series", Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM'05), Houston, Texas, Nov. 2005 (to appear).

14. V. Megalooikonomou, D. Kontos, N. DeClaris and P. Cano, "Incorporating Domain Knowledge in Developing Robust Neural Network Models for Peptide-Allele Binding Prediction", Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB'05), San Diego, California, Nov. 2005 (to appear).

15. Q. Wang, V. Megalooikonomou, G. Li, "A Symbolic Representation of Time Series", Proceedings of the IEEE Eighth International Symposium on Signal Processing and Its Applications (ISSPA'05), Sydney, Australia, Aug. 28-31, 2005, pp. 655-658.

16. L. J. Latecki, V. Megalooikonomou, Q. Wang, R. Lakaemper, C. A. Ratanamahatana, and E. Keogh, "Elastic Partial Matching of Time Series", Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal, Oct. 2005 (to appear).

17. D. Kontos, V. Megalooikonomou and J. Gee, " Reducing the computational cost for statistical medical image analysis: An MRI study on the sexual morphological differentiation of the corpus callosum," in Proceedings of the 18th IEEE International Symposium on Computer-Based Medical Systems (CBMS05), Trinity College Dublin, Ireland, June 23-24, pp. 282-287, 2005.

18. V. Megalooikonomou, D. Kontos, " Integrating clinical information repositories: A framework for distributed analysis of medical image data" Proceedings of the 5th International Network Conference (INC 2005), Special Session on Image, Signal and Distributed Data Processing for Networked eHealth Applications, Samos Island, Greece, July 2005, pp. 545-552.

19. V. Megalooikonomou, Q. Wang, G. Li, C. Faloutsos, " A Multiresolution Symbolic Representation of Time Series" Proceedings of the 21st IEEE International Conference on Data Engineering (ICDE05), Tokyo, Japan, April 5-8, 2005, pp. 668-679.

20. Q. Wang, V. Megalooikonomou, D. Kontos, " A Medical Image Retrieval Framework" Proceedings of the 2005 IEEE International Workshop on Machine Learning for Signal Processing (MLSP05), Mystic, Connecticut, Sept. 28-30, 2005, pp. 233-238.

21. D. Kontos, V. Megalooikonomou and J. Gee, "Effective Reduction of Statistical Tests for Morphological Analysis: Application to a Study of the Corpus Callosum", Human Brain Mapping Conference (OHBM'05), Toronto, Canada, June 12-16, 2005.

22. V. Megalooikonomou, D. Kontos and A. Saykin, "Characterizing 3D Regions of Interest in fMRI Activation Maps", Human Brain Mapping Conference (OHBM'05), Toronto, Canada, June 12-16, 2005.

23. Q. Wang, V. Megalooikonomou, "A clustering algorithm for intrusion detection", Proceedings of the SPIE Conference on Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, Orlando, Florida, USA, March 28 - April 1, Vol. 5812, pp. 31-38, 2005.

24. D. Kontos, Q. Wang, V. Megalooikonomou, A. H. Maurer, L. C. Knight, S. Kantor, R. S. Fisher, H. P. Simonian, H. P. Parkman, "A 3D Image Analysis Tool for SPECT Imaging", Proceedings of the SPIE Conference on Medical Imaging, San Diego, CA, pp. 839-847, Feb. 12-17, 2005.

25. V. Megalooikonomou, G. Li, Q. Wang, "A Dimensionality Reduction Technique for Efficient Similarity Analysis of Time Series Databases", Proceedings of the 13th Conference on Information and Knowledge Management (CIKM) 2004, Washington, DC, pp. 160-161, 2004.

26. D. Kontos, V. Megalooikonomou, D. Pokrajac, A. Lazarevic, Z. Obradovic, O. B. Boyko, J. Ford, F. Makedon, A. J. Saykin, "Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease", 7th Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'04), Rennes-Saint Malo, Sept. 26-30, Proceedings, Part II, Lecture Notes in Computer Science 3217, Vol. 2, pp. 727-735, 2004.

27. R. Lakamper, L. J. Latecki, V. Megalooikonomou, Q. Wang, X. Wang, "Learning Descriptive and Distinctive Parts of Objects with a Part-Based Shape Similarity Measure", Proceedings of the IASTED 6th International Conference on Signal and Image Processing (SIP'04), Honolulu, Hawaii, Aug. 2004.

28. Q. Wang, D. Kontos, G. Li and V. Megalooikonomou, "Application of Time Series Techniques to Data Mining and Analysis of Spatial Patterns in 3D images", in Proceedings of the International Conference on Acoustics, Speech and Signal Processing, (ICASSP'04), pp. 525-528, May 2004.

29. K. Kumaraswamy, C. Faloutsos, G. Shan and V. Megalooikonomou, "Relation between Fractal Dimension and Performance of Vector Quantization", in Proceedings of the Data Compression Conference (DCC'04), Salt Lake City, UT, pp. 547, Mar. 2004.

30. V. Megalooikonomou, Q. Wang, D. Kontos, G. Li, J. Ford, A. Saykin, "Analysis of Brain Image Data using Sequence Analysis Techniques", Human Brain Mapping Conference (OHBM'04), Budapest, Hungary, June 13-17, 2004.

31. D. Kontos, V. Megalooikonomou, Q. Wang, J. Ford, F. Makedon, A. Saykin, "Identifying Discriminative fMRI Activation Signatures in Alzheimer's Disease: Studying a Series of Semantic Decision Tasks", Human Brain Mapping Conference (OHBM'04), Budapest, Hungary, June 13-17, 2004.

32. D. Kontos, V. Megalooikonomou, M. Sobel, Q. Wang, "An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data", Joint International Workshops on Syntactic and Structural Pattern Recognition (SSPR) and Statistical Pattern Recognition (SPR), Lisbon, Portugal, Proceedings, Lecture Notes in Computer Science 3138, pp. 379-387, 2004.

33. D. Kontos and V. Megalooikonomou, "Fast and Effective Characterization of 3D Region of Interest in Medical Image Data", in Proceedings of the SPIE International Symposium on Medical Imaging 2004, San Diego, CA, Feb. 2004, Volume 5370 Medical Imaging, pp. 1324-1331, 2004.

34. D. Kontos, V. Megalooikonomou, F. Makedon, "Computationally Intelligent Methods for Mining 3D Medical Images", in Lecture Notes in Artificial Intelligence, 3025, 3rd Hellenic Conference on Artificial Intelligence, Samos Island, Greece, pp. 72-81, May 2004.

35. D. Kontos, V. Megalooikonomou, N. Ghubade, C. Faloutsos, "Detecting discriminative functional MRI activation patterns using space filling curves", in Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Cancun, Mexico, pp. 963-967, Sept. 2003.

36. J. Ford, H. Farid, F. Makedon, L.A. Flashman, T.W. McAllister, V. Megalooikonomou and A.J. Saykin, "Patient Classification of fMRI Activation Maps", 6th Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'03), Montreal, Canada, Proceedings, Part II, Lecture Notes in Computer Science 2879, pp. 58-65, Nov. 2003.

37. V. Megalooikonomou, D. Kontos, D. Pokrajac, A. Lazarevic, Z. Obradovic, O. Boyko, A. Saykin, J. Ford, F. Makedon, "Classification and Mining of Brain Image Data Using Adaptive Recursive Partitioning Methods: Application to Alzheimer Disease and Brain Activation Patterns", Human Brain Mapping Conference (OHBM'03), New York, NY, June 18-22, 2003.

38. K. Kumaraswamy, V. Megalooikonomou, "Fractal Dimension and Vector Quantization", in Proceedings of the Workshop on Fractals and Self Similarity in Data Mining, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'03), Washington, DC, USA, pp. 24-27, Aug. 24-27, 2003.

39. V. Megalooikonomou, H. Dutta, D. Kontos, "Fast and Effective Characterization of 3D Region Data", in Proceedings of the IEEE International Conference on Image Processing (ICIP), Rochester, NY, pp. 421-424, Sept. 2002.

40. V. Megalooikonomou, "Evaluating the performance of association mining methods in 3-D medical image databases", in Proceedings of the 2nd SIAM International Conference on Data Mining (SDM), Arlington, VA, pp. 474-494, Apr. 2002.

41. V. Megalooikonomou, D. Pokrajac, A. Lazarevic, and Z. Obradovic, "Effective classification of 3-D image data using partitioning methods", in Proceedings of the SPIE Conference on Visualization and Data Analysis, San Jose, CA, pp. 62-73, Jan. 2002.

42. Lazarevic, D. Pokrajac, V. Megalooikonomou and Z. Obradovic, "Distinguishing Among 3-D Distributions for Brain Image Data Classification", in Proceedings of the 4th International Conference on Neural Networks and Expert Systems in Medicine and Healthcare, Milos Island, Greece, pp. 389-396, June 2001.

43. J. Ford, F. Makedon, V. Megalooikonomou, A. Saykin, L. Shen, T. Steinberg, "Spatial Comparison of fMRI Activation Maps for Data Mining: A Methodology of Hierarchical Characterization and Classification", Neuroimage, Vol. 13, No. 6, S1302, 2001.

44. Saykin, L. Flashman, L. Shen, J. Ashburner, M. Sparling, A. Donnelly, F. Makedon, D. Isecke, J. Ford, V. Megalooikonomou, T. McAllister, "Hippocampal Shape in Schizophrenia: A Deformation-Based Morphometric Analysis", NeuroImage, Vol. 13, No. 6, S 1096, 2001.

45. D. Pokrajac, A. Lazarevic, V. Megalooikonomou, Z. Obradovic, "Classification of Brain Image Data using measures of distributional distance", 7th Annual Meeting of the Organization for Human Brain Mapping (OHBM'01), Brighton, UK, June, 2001.

46. L. Shen, L. Cheng, J. Ford, F. Makedon, V. Megalooikonomou, T. Steinberg, "Mining the Most Interesting Web Access Associations", in Proceedings of the World Conference on the WWW and Internet (WebNet), San Antonio, Texas, pp. 489-494, Nov. 2000.

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SLOBODAN VUCETIC

Publications in 2002 - 2005 period (since joining the center)

Peer Reviewed Book Chapters

1. Obradovic, Z. and Vucetic, S. (2004) "Challenges in Scientific Data Mining: Heterogeneous, Biased, and Large Sample," a peer reviewed book chapter at The Next Generation Data Mining (editors: H. Kargupta, A. Joshi, K. Sivakumar, Y. Yesha). AAAI/MIT Press, pp. 381-401.

Journal Articles

2. Radivojac, P., Vucetic, S., O'Connor, T.R., Uversky, V.N., Obradovic, Z. and Dunker, A.K. "Calmodulin Signaling: Analysis and Prediction of a Disorder-Dependent Molecular Recognition," Proteins: Structure, Function and Bioinformatics, in press.

3. Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., and Dunker, A.K. "Exploiting Heterogeneous Sequence Properties Improves Prediction of Protein Disorder," Proteins: Structure, Function and Genetics, in press.

4. Peng, K., Vucetic, S., Radivojac, P., Brown, C.J., Dunker, A.K. and Obradovic, Z. (2005) "Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information," Journal of Bioinformatics and Computational Biology, vol. 3, no. 1, pp. 35-60.

5. Vucetic, S., Obradovic, Z., Vacic, V., Radivojac, P., Peng, K., Lawson, J.D., Brown, C.J., Sikes, J.G., Newton, C. and Dunker, A.K. (2005) "Disprot: A Database of Protein Disorder," Bioinformatics, Vol 21, No. 1, pp. 137-40.

6. Vucetic, S. and Obradovic, Z. (2005) "Collaborative Filtering Using a Regression-Based Approach," Knowledge and Information Systems, Vol. 7, No. 1, pp. 1-22.

7. Obradovic, Z, Peng, K, Vucetic, S., Radivojac, P., Brown, C., and Dunker, A.K. (2003) "Predicting Intrinsic Disorder from Amino Acid Sequence," Proteins: Structure, Function and Genetics, vol. 53 Suppl 6, pp. 566-72.

8. Radivojac, P., Obradovic, Z., Smith D.K., Zhu, G., Vucetic, S., Brown, C., Lawson, J.D. and Dunker, A.K., (2003) "Protein flexibility and intrinsic disorder," Protein Science, vol. 13, pp. 71-80.

9. Vucetic, S., Brown C., Dunker A.K and Obradovic, Z. (2003) "Flavors of Protein Disorder," Proteins: Structure, Function and Genetics, vol. 52. pp. 573-584

Fully Refereed Conference Articles

10. Peng, K, Vucetic, S. and Obradovic, Z. (2005) "Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets," Proc. 5th SIAM Int'l Conf. on Data Mining, Newport Beach, CA, pp.621-625.

11. Han, B., Vucetic, S., Braverman, A. and Obradovic, Z (2005) "Integration of Deterministic and Statistical Algorithms for Aerosol Retrieval," Proc. International Conference on Novel Applications of Neural Networks in Engineering, Lillie, France, Aug. 2005, pp. 85-92.

12. Han, B., Vucetic, S., Braverman, A. and Obradovic, Z. (2005) "Construction of an accurate geospatial predictor by fusion of global and local models," Proc. IEEE 8th International Conference on Information Fusion, B.11.2 pp. 1-8, Philadelphia, PA, July 2005.

13. Xu, Q., Han, B., Li, Y., Braverman, A., Obradovic, Z. and Vucetic, S. (2005) "Improving aerosol retrieval performance by integrating AERONET, MISR, and MODIS data products," Proc. IEEE 8th International Conference on Information Fusion, B.11.3 pp. 1-8, Philadelphia, PA, July 2005.

14. Xie, H., Vucetic, S., Sun, H., Hedge, P and Obradovic, Z. (2004) "Characterization of Gene Functional Expression Profiles of Plasmodium Falciparum," Proc. 5 Conf. on Critical Assessment of Microarray Data Analysis, Durham, North Carolina.th

15. Radivojac, P., Obradovic, Z., Dunker, A.K. and Vucetic, S. (2004) "Feature Selection Filters Based on Permutation Test," Proc. 15th European Conference on Machine Learning, Pisa, Italy.

16. Peng, K., Obradovic, Z. and Vucetic, S., (2004) "Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets," Proc. 16th European Conf. on Artificial Intelligence, Valencia, Spain, pp. 623-627.

17. Peng, K., Obradovic, Z. and Vucetic, S., (2004) "Exploring Bias in the Protein Data Bank Using Contrast Classifiers," Proc. 9th Pacific Symposium on Biocomputing, Hawaii, pp. 435-446.

18. Peng, K., Vucetic, S., Han, B., Xie H. and Obradovic, Z. (2003) "Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining," Proc. 3rd IEEE Int'l Conf. Data Mining, Melbourne, Fl, pp. 267-274.

19. Han, B., Vucetic, S. and Obradovic, Z. (2003) "Reranking Medline Citations by Relevance to a Difficult Biological Query," Proc. IASTED Int'l Conf. Neural Networks and Computational Intelligence, Cancun, Mexico, pp. 38-43.

20. Vucetic, S., Pokrajac, D., Xie H. and Obradovic, Z. (2003) "Detection of Underrepresented Biological Sequences Using Class-Conditional Distribution Models," Proc. Third SIAM Int'l Conf. on Data Mining, San Francisco, CA, pp. 279-283.

21. Dunker, A.K., Brown. C.J, Lawson, J.D., Iakoucheva-Sebat, L.M., Vucetic, S. and Obradovic, Z. (2002) "The Protein Trinity: Structure/Function Relationships that Include Intrinsic Disorder," Proc. 2002 Miami Nature Biotechnology Winter Symp., The Scientific World, 2(S2), 49-50.

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