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Publications by Year Publications by Topic

WARNING: Posted article may not exactly replicate the final versions published in the journals/conference proceedings/books. Copyrights of papers of record are owned by the respective publishers.

YEAR 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993 and Before

 2006

Peer Reviewed Book Chapters

  • Peng, K. Obradovic, Z. and Vucetic, S. (2006) "Supervised Learning under Sample Selection Bias from Protein Structure Databases," peer reviewed book chapter in Advances in Applied and Computational Mathematics, Nova Science Publishers, pp. 153-170.

Journal Articles

  • Midic, U. Dunker, K. and Obradovic, Z. (in press) "Exploring alternative knowledge representations for protein secondary-structure prediction," Int.l Journal of Data Mining and Bioinformatics.
  • Han, B., Obradovic, Z., Hu, Z.Z., Wu, C. H. and Vucetic, S. (2006) "Substring Selection for Biomedical Document Classification," Bioinformatics, Advance Access July 12.
  • Sickmeier, M., Hamilton, A., LeGall, T. Vacic, V., Cortese, M.S., Uversky, V.N., Tompa, P., Obradovic, Z. and Dunker, A.K. (2006) " DisProt: The Database of Disordered Proteins," Nucleic Acids Research.
  • Xu, Q., Canatescu, A., Obradovic, Z. and Dunbrack, R.L. (2006) " ProtBuD: A Database of Biological Unit Structures of Protein Families and Superfamilies," Bioinformatics, Advance Access Oct. 02.
  • Romero, P., Zaidi, S., Fang,Y.Y., Uversky, V.N., Radivojac, P., Oldfield, C., Cortese M., LeGall, T., Obradovic, Z. and Dunker, A.K. (2006)"Alternative Splicing in Concert with Protein Intrinsic Disorder Enables Increased Functional Diversity in Multicellular Organisms," The Proceedings of the National Academy of Sciences, vol. 103, no. 22, 8390-8395, May 30.
  • Peng, K., Radivojac, P., Vucetic, S., Dunker, A.K. and Obradovic, Z. (2006) "Length-Dependent Prediction of Intrinsic Protein Disorder," BMC Bioinformatics, vol. 7 (1), 208, April 17.
  • Radivojac, P., Vucetic, S., O.Connor, T.R., Uversky, V.N., Obradovic, Z. and Dunker, A.K. (2006) "Calmodulin Signaling: Analysis and Prediction of a Disorder-Dependent Molecular Recognition," Proteins: Structure, Function and Bioinformatics, vol. 63(2), pp. 398-410, May 1.
  • Han, B., Vucetic, S., Braverman, A. and Obradovic, Z. (in press) "A Statistical Complement to Deterministic Algorithms for Retrieving Aerosol Optical Thickness from Radiance Data," Engineering Applications of Artificial Intelligence.
  • Jones, P.R., Schwartz, D., Schwartz, I.M., Jupin, J., Obradovic, Z. (in press) "Risk Classification and Juvenile Dispositions: What is the State of the Art?" Temple Law Review.

 Refereed Conference Articles

  • Xie, H., Obradovic, Z. and Vucetic, S. (2006) "Mining of Microarray, Proteomics, and Clinical Data for Improved Identification of Chronic Fatigue Syndrome," Proc. sixth international conference for the Critical Assessment of Microarray Data Analysis, Durham, NC, 2006.
  • Obradovic, Z, Han, B., Xu, Q., Li, Y., Braverman, A., Li, Z. and Vucetic, S. (2006) "Data Mining Support for Aerosol Retrieval and Analysis - Project Summary," NASA Data Mining Workshop, Pasadena, CA, May 2006.
  • Han, B., Obradovic, Z, Li, Z. and Vucetic, S., (in press) "Data Mining Support for Improvement of MODIS Aerosol Retrievals," Proc. Int.l Geoscience and Remote Sensing Symp.
  • Qin, Y. and Obradovic, Z. (2006) "Efficient Learning from Massive Spatial-Temporal Data throught Selective Support Vector Propagation," Proc. 16th European Conf. on Artificial Intelligence, Italy.

 2005

Journal Articles

  • Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., and Dunker, A.K. (2005) "Exploiting Heterogeneous Sequence Properties Improves Prediction of Protein Disorder," Proteins: Structure, Function and Bioinformatics, vol. 61, Suppl. 7, pp. 176-182.
  • 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. (PDF)
  • 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. (PDF)
  • 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.
  • Vucetic, S. and Obradovic, Z. (2005) "Collaborative Filtering Using a Regression-Based Approach," Knowledge and Information Systems, Vol. 7, No. 1, pp. 1-22. (PDF)
  • Pokrajac, D., Milutinovich, J. and Obradovic, Z. (2005) "Toward Neural Network-Based Profit Optimization, " Facta Universitatis, Series Economics and Organization, vol. 2, no. 3, pp. 261-275.

 Refereed Conference Articles

  • 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, pp. 490-497.
  • 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.
  • 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.
  • 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.
  • 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.

 2004

Peer Reviewed Book Chapters

  • Obradovic, Z. and Vucetic, S. (2004) "Challenges in Scientific Data Mining: H eterogeneous, 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. (PS)

Journal Articles

  • 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. (PDF)
  • Romero, P., Obradovic, Z., and Dunker, A.K.(2004) "Natively disordered proteins : functions and predictions," Appl Bioinformatics, 3(2-3), pp.105-113.
  • 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. (PDF)

 Refereed Conference Articles

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

 2003

 Journal Articles

  • 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. (PDF)
  • 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. (PDF)
  • 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. (PDF) (datasets)
  • Pokrajac, D., Hoskinson, R.L. and Obradovic, Z. (2003) "Modeling Spatial-Temporal Data with a Short Observation History," Knowledge and Information Systems, vol. 5, no. 3, pp. 368-386. (PDF)
  • 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. (PDF)

 Refereed Conference Articles

  • Peng, K., Vucetic, S., Han, B., Xie H. and Obradovic, Z. (2003) “Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining," Proc. Third IEEE Int'l Conf. Data Mining, Melbourne, Fl, pp. 267-274. (PDF)
  • Radivojac, P., Sivalingam, K., Korad, U. and Obradovic, Z. (in press) “Learning from Class-Imbalanced Data in Wireless Sensor Networks,” Proc. IEEE Semiannual Vehicular Technology Conference Fall 2003, Orlando, Fl. (PDF)
  • Han, B., Vucetic, S. and Obradovic, Z. (2003) “ Re-Ranking Medline Citations by Relevance to a Difficult Biological Query," Proc. IASTED Int'l Conf. Neural Networks and Computational Intelligence, Cancun, Mexico, pp. 38-43. (PDF)
  • 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, May 1-3, 2003, San Francisco, CA, pp.279-283. (PDF)
  • 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. (PDF)

 2002

 Journal Articles

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

 Refereed Conference Articles

  • 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. (PDF)
  • 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. (PDF)
  • 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.
  • 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.
  • 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, CA.
  • 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. (PDF)
  • Jovanovic, N., Milutinovic, V. and Obradovic, Z. (2002) "Foundations of Predictive Data Mining," Proc  IEEE 6th Conf. on Neural Networks Applications in Electrical Engineering, Belgrade, Yugoslavia, pp. 53-58.

2001

Journal Articles

  • Dunker, A.K and Obradovic, Z. (2001) "The Protein Trinity - Linking Function and Disorder," Nature Biotechnology, vol. 19, Sept., pp. 805-806. (PDF)
  • 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 Modelling, vol. 19, pp. 28-61. (PDF)
  • 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. PDF)
  • Lazarevic, A. and Obradovic, Z. (2001) "Adaptive Boosting Techniques in Heterogeneous and Spatial Databases," Intelligent Data Analysis, vol. 5, pp.1-24. (PDF)
  • 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. (PDF)
  • Pokrajac, D., Lazarevic, A. and Obradovic, Z. (2001) "Exploration-Exploitation Trade-Off in Machine Learning," it Facta Universitatis, Ser. Elec. and Energ., vol. 14, no. 1, pp. 67-90.
  • Obradovic, Z. and Srikumar, R., (2001) “Parallelizing Design of Application Tailored Neural  Networks." Facta Universitatis, Ser. Mathematics and Informatics,16, pp 97-108

 Refereed Conference Articles

  • 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.
  • 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. (PDF)
  • 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. (PDF)
  • 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, June 2000, Milos Island, Greece.
  • Pokrajac, D., Lazarevic, A., Megalooikonomou, V. and Obradovic, Z. (2001) "Classification of Brain Image Data using Measures of Distributional Distance," Human Brain Mapping, June 2001, Brighton, UK.
  • Pokrajac, D. and Obradovic, Z. (2001) "Improved Spatial-Temporal Forecasting through Mining" Proc. First SIAM Int'l Conf. on Data Mining, April 5-7, Chicago, USA. (PDF)
  • 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.
  • 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.
  • 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. (PDF)
  • 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.
  • Pokrajac, D. and Obradovic, Z. (2001) "Neural Network-Based Method for Site-Specific Fertilization Recommendation," Proc. Society for Engineering in Agricultural, Food, and Biological Systems (ASAE) Annual International Meeting, 2001.
  • Pokrajac, D. and Obradovic, Z. (2001) "Neural Network-Based Software for Precision Farming," Proc. 2001 IEEE/INNS International Joint Conference on Neural Networks, Washington D.C.

2000

Peer Reviewed Book Chapters

  • 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, ISBN 0-262-03274-0, pp. 325-368. (PDF)
  • 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, ISBN 0-262-03274-0, pp. 217-250. (PDF)

 Journal Articles

  • 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. (PDF)
  • 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. (PDF)
  • Obradovic, Z. and Srikumar, R., (2000) “Constructive Neural Networks Design Using Genetic Optimization," Facta Universitatis, Ser. mathermatics and Informatics,15, pp. 133-146

 Refereed Conference Articles

  • 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, Dec. 2000, pp. 161-171. (PDF)
  • 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, Dec. 2000, pp. 172-184. (PDF)
  • 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. (PS)
  • 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. (PDF)
  • 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. (PDF)
  • 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, Proc. 14th European Simulation Multiconference - Simulation and Modelling: Enablers for a Better Quality of Life, May 23-26, 2000, Ghent, Belgium. SCS Europe 2000, ISBN 1-56555-204-0, pp. 706-708, PDF)
  • Pokrajac, D., Fiez, T. and Obradovic, Z. (2000) "A Tool for Controlled Knowledge Discovery in Spatial Domains," Track on Simulation Methodology, Tools and Standards, Proc. 14th European Simulation Multiconference - Simulation and Modelling: Enablers for a Better Quality of Life, May 23-26, 2000, Ghent, Belgium. SCS Europe 2000, ISBN 1-56555-204-0, pp. 26-32. (PDF)
  • 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. (PDF)
  • 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. (PDF)
  • 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. (PDF)
  • 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, Feb. 2000, vol. 2, pp. 978-981. (PDF)
  • 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. (PDF)
  • 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. (PDF)

Invited Articles

  • Lazarevic, A., Pokrajac, D. and Obradovic, Z. (2000) "An E-commerce System for Mining Distributed Spatial Databases," Int'l Conf. on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet, L'Aquila, Italy, August 2000 (by invitation conference). (PDF)

1999

Journal Articles

  • Romero, P., Obradovic, Z. and Dunker, A.K. (1999) "Folding Minimal Sequences: The Lower Bound for Sequence Complexity of Globular Proteins," FEBS Letters. vol. 462, pp.363-367. (PDF)

Refereed Conference Articles

  • Li, X., Rani, M., Romero, P., Obradovic, Z. and Dunker, A.K. (1999) "Predicting Protein Disordered Regions for N-, C- and Internal Regions," In S. Miyano & T. Takagi (editors) Proc. GenomInformatics 10, Tokyo, Japan, pp. 30-40. (PDF)
  • Garner, E., Romero, P., C.J. Brown, Obradovic, Z. and Dunker, A.K. (1999) "Predicting Binding Regions within Disordered Proteins," In S. Miyano & T. Takagi (editors) Proc. Genome Informatics 10, Tokyo, Japan, pp. 41-50. (PDF)
  • Pokrajac, D., Lazarevic, A., Vucetic, S., Fiez T. and Obradovic Z. (1999) "Image Processing in Precision Agriculture," Proc. IEEE Int'l Conf. on Telecommunications in Modern Satellite, Cable and Broadcasting Services, Nis, Yugoslavia, October 1999, IEEE Press, v.2, pp. 616-619.
  • Pokrajac, D., Fiez, T., Obradovic, D., Kwek, S. and Obradovic, Z. (1999) "Distribution Comparison for Site-Specific Regression Modeling in Agriculture,' Proc. IEEE/INNS Int'l Joint Conf. on Neural Networks, IEEE Press, ISBN 0-7803-5532-6, Washington D.C., July 1999, No. 346, Session 10.9. (PDF)
  • Lazarevic, A., Xu, X., Fiez, T. and Obradovic, Z. (1999) "Clustering-Regression-Ordering Steps for Knowledge Discovery in Spatial Databases," Proc. IEEE/INNS Int'l Joint Conf. on Neural Networks, IEEE Press, ISBN 0-7803-5532-6, Washington D.C., July 1999, No. 345, Session 8.1B. (PDF)
  • Vucetic, S., Fiez, T. and Obradovic, Z. (1999) "A Data Partitioning Scheme for Spatial Regression," Proc. IEEE/INNS Int'l Joint Conf. on Neural Networks, IEEE Press, ISBN 0-7803-5532-6,Washington D.C., July 1999, No. 348, Session 8.1A. (PDF)
  • Obradovic, D. and Obradovic Z. (1999) "Efficient Probability Density Balancing for Supporting Distributed Knowledge Discovery in Large Databases," Proc. IEEE/INNS Int'l Joint Conf. on Neural Networks, IEEE Press, ISBN 0-7803-5532-6, Washington D.C., July 1999, No. 347, Session 8.1B.

Invited Conference Articles:

  • Obradovic, Z. and Vucetic, S. (1999) "Time Series Method for Forecasting Electricity Market Pricing" in Intelligent Systems in Electricity Market Modeling session, IEEE Power Engineering Society 1999 Summer Meeting, Edmonton, Canada.

1998

 Refereed Conference Articles

  • Xie, Q., Arnold, G.E., Romero, P., Obradovic, Z., Garner, E and Dunker, A.K. (1998) "The Sequence Attribute Method for Determining Relationships Between Sequence and Protein Disorder," In S. Miyano & T. Takagi (editors) Proc. Genome Informatics 1998, Tokyo, Japan, pp. 193-200. (PDF)
  • Garner, E., Cannon, P., Romero, P., Obradovic, Z. and Dunker, A.K. (1998) "Predicting Disordered Regions from Amino Sequence: Common Theme Despite Differing Structural Characterization," In S. Miyano & T. Takagi (editors) Proc. Genome Informatics 1998, Tokyo, Japan, pp. 201-213. (PDF)
  • Rani, M., Romero, P., Obradovic, Z. and Dunker, A.K. (1998) "Annotation of PDB with respect to Disordered Regions in Proteins," In S. Miyano & T. Takagi (editors) Proc. Genome Informatics 1998, Tokyo, Japan, pp. 240-241.
  • Romero, P., Obradovic, Z., Kissinger, C., Villafranca, J.E., Garner, E., Guilliot, S. and Dunker, A.K. (1998) "Thousands of Proteins Likely to Have Long Disordered Regions," Proc. Pacific Symposium on Biocomputing, Maui, Hawaii, vol. 3, pp. 435-446. (PDF)
  • Dunker, A.K., Garner E., Guilliot S., Romero P., Albrecht K., Hart J., Obradovic Z., Kissinger C., and Villafranca, J.E., (1998) "Protein Disorder and the Evolution of Molecular Recognition: Theory, Predictions and Observations," Proc. Pacific Symposium on Biocomputing, Maui, Hawaii, vol. 3, pp. 471-482.
  • Ngom A., Obradovic, Z. and Stojmenovic, I., (1998) "Minimization of Multivalued Multithreshold Perceptrons Using Genetic Algorithms," The 28th IEEE Int'l. Symp. On Multiple-Valued Logic, Fukuoka, Japan, pp. 209-214.

Invited Articles 

  • Drossu, R., Fiez, T., Lazarevic, A., Pokrajac, D., Vucetic, S., and Obradovic, Z. (1998) "Use of Terrain Analysis in Yield Map Interpretation," Geographical Information Systems in Agriculture Conference, Orlando, Florida. Parallel and Distributed Data Mining
  • Obradovic, Z. (1998) "Embedding Prior Knowledge to Statistical Learning Systems for Efficient Knowledge Discovery in Large Databases," Symposium on Contemporary Mathematics, Belgrade, Yugoslavia.

1997

Peer Reviewed Book Chapters

  • Drossu, R. and Obradovic, Z. (1997) "An Analysis of the INFFC Cotton Futures Time Series: Lower Bounds and Testbed Design Recommendations," in Caldwell, B. R., (editor) Nonlinear Financial Forecasting: The First Nonlinear Financial Forecasting Competition, Finance & Technology Publishing, pp. 241-261.

Journal Articles

  • Dunker, A.K., Obradovic, Z., Romero, P., Kissinger, C. and Villafranca, J.E. (1997) "On the Importance of Being Disordered," Protein Data Bank Quarterly Newsletter, Release no. 81, pp. 3-5.

 Refereed Conference Articles

  • Romero, P., Obradovic, Z and Dunker A.K. (1997) "Sequence Data Analysis for Long Disordered Regions Prediction in the Calcineurin Family," In S. Miyano & T. Takagi (editors) Proc. Genome Informatics 1997, Tokyo, Japan, pp. 110-125. (PDF)
  • Romero, P., Obradovic, Z., Kissinger, C., Villafranca, J.E. and Dunker, A.K. (1997) "Identifying Disordered Regions in Proteins from Amino Acid Sequence," Proc. IEEE Int. Conf. on Neural Networks, Houston, TX, vol. 1, pp. 90-95.
  • Drossu, R. and Obradovic, Z., (1997) "INFFC Data Analysis: Lower Bounds and Testbed Design Recommendations," Proc. 1997 Computational Intelligence in Financial Engineering, New York, N.Y., pp. 71-74.
  • Drossu, R. and Obradovic, Z., (1997) "Regime Signaling Techniques for Non-stationary Time Series Forecasting," Proc. Chaotic and Complex Systems Minitrack at the 30-th Hawaii Int'l Conf. on System Sciences, IEEE Computer Society Press, vol. 5, pp. 530- 538.

 Invited Articles

  • Obradovic, Z. (1997) " Guest Editorial: Hybrid Intelligence for Financial Forecasting," NeuroVest Journal , vol. 5, no. 1, pp. 4-5.

1996

Peer Reviewed Book Chapters

  • Drossu, R. and Obradovic, Z. (1996) "Prediction Horizon Effects on Stochastic Modeling Hints for Neural Networks," In P.E. Keller, S.Hashem, L.J. Kangas, and R. T. Kouzes (editors) Applications of Neural Networks in Environment, Energy, and Health

 Journal Articles

  • Obradovic, Z. and Mehr, I., (1996) "Parallel Neural Network Learning Through Repetitive Bounded Depth Trajectory Branching." Neural, Parallel and Scientific Computations, vol. 4, no. 4, pp. 475-491
  • Obradovic, Z. and Chenoweth, T., (1996) "Selection of Learning Algorithms for Trading Systems Based on Biased Estimators." Heuristics, The Journal of Intelligent Technologies, vol. 9, no. 1, pp. 9-21.
  • Chenoweth, T., Obradovic, Z. and Lee, S., (1996) "Embedding Technical Analysis into Neural Network Based Trading Systems," Applied Artificial Intelligence, Taylor & Francis, Washington D.C., vol. 10, no. 6., pp. 523-541.
  • Drossu, R. and Obradovic, Z., (1996) "Regime Signaling Techniques for Non-stationary Time Series Forecasting." Journal of Computational Intelligence in Finance, Finance & Technology Publishing, vol. 4, no. 5, pp. 7-15.
  • Drossu, R. and Obradovic, Z., (1996) "Rapid Design of Neural Networks for Time Series Prediction," IEEE Computational Science and Engineering, vol. 3, no. 2, pp. 78-89.
  • Chenoweth, T. and Obradovic, Z., (1996) "A Multi-Component Nonlinear Prediction System for the S&P 500 Index," Neurocomputing, vol. 10, no. 3, pp. 275-290.
  • Drossu, R., Obradovic, Z. and Fletcher, J., (1996) "A Flexible Graphical User Interface for Embedding Heterogeneous Neural Network Simulators," IEEE Trans. on Education, special issue on Applications of Information Technology, volume 39, no. 3, pp. 367-374.
  • Obradovic, Z., (1996) "Computing with Nonmonotone Multivalued Neurons," Multiple Valued Logic, vol. 1, no. 4, pp. 271-294.

 Lightly Refereed Conference Articles

  • Obradovic, Z. and Chenoweth, T. (1996) "Selection of Learning Algorithms for Trading Systems Based on Biased Estimators - An Abstract," Working Notes of the 1996 AAAI Workshop on Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms, held in conjunction with National Conference on Artificial Intelligence AAAI, Portland, OR, pp. 93-94.
  • Obradovic, Z. and Chenoweth, T. (1996) "Selection of Learning Algorithms for Trading Systems Based on Biased Estimators," Proc. Adaptive Distributed Parallel Computing Conference, Dayton, OH, pp. 458-467.
  • Drossu, R., Obradovic, Z. and Fletcher, J., (1996) "A Flexible Graphical User Interface to Heterogeneous Neural Network Simulators," Proc. 10th European Simulation Multiconference, Int. Society for Computer Simulation, Budapest, Hungary, pp. 273-278.
  • Venkateswaran, R., Obradovic, Z., and Raghavendra, C.V., (1996) "Cooperative Genetic Algorithm for Optimization Problems in Distributed Computer Systems," Proc. Second Online Workshop on Evolutionary Computation, March 11-22, 1996, pp. 49-52.
  • Milenkovic, S., Obradovic, Z. and Litovski, V., (1996) "Annealing Based Dynamic Learning in Second-Order Neural Networks," Proc. IEEE Int. Conf. on Neural Networks, Washington D.C., pp. 458-463
  • Milenkovic, S., Litovski V. and Obradovic Z. (1996) "Nondeterminism in Artificial Neural Networks," Proc. Int. Memorial Conference "D.S.Mitrinovic", Nis, Yugoslavia.

1995

Peer Reviewed Book Chapters

  • Drossu, R., Lakshman, T.V., Obradovic, Z. and Raghavendra C.S., (1995) "Single and Multiple Frame Video Traffic Prediction Using Neural Network Models," In Raghavan S.V. and Jain B.N. (editors) Computer Networks, Architecture and Applications, Chapman & Hall, 1995, chapter 9, pp. 146-158.

Journal Articles:

  • Chenoweth, T. and Obradovic, Z., (1995) "An Explicit Feature Selection Strategy for Predictive Models of the S&P 500 Index," Journal of Computational Intelligence in Finance, Finance & Technology Publishing, vol. 3, no. 6, pp. 14-21.
  • Fletcher, J. and Obradovic, Z., (1995) "A Discrete Approach to Constructive Neural Network Learning," Neural, Parallel and Scientific Computations, vol. 3, no. 3, pp. 307-320.

Refereed Conference Articles

  • Drossu, R. and Obradovic, Z., (1995) "Novel Results on Stochastic Modelling Hints for Neural Network Prediction," Proc. World Congress on Neural Networks, Washington, D.C., vol. 3, pp. 230{233.
  • Drossu, R. and Obradovic, Z., (1995) "Stochastic Modeling Hints for Neural Network Prediction," Proc. World Congress on Neural Networks, Washington, D.C., vol. 2, pp. 16{19 and 88{91.
  • Drossu, R. and Obradovic, Z., (1995c) "Prediction Horizon Effects on Stochastic Modeling Hints for Neural Networks," Proc. the Workshop on Environmental and Energy Applications of Neural Networks, Pacific Northwest Laboratory, Richland, WA, World Scientific Publishing.
  • Romero, P. and Obradovic, Z. (1995) "Comparison of Symbolic and Connectionist Approaches to Local Experts Integration," Proc. the IEEE Technical Applications Conference at Northcon 95, Portland, OR, pp. 105-110.
  • Chenoweth, T., Obradovic, Z., and Lee, S. (1995) "Technical Trading Rules as a Prior Knowledge to a Neural Networks Prediction System for the S&P 500 Index," Proc. The IEEE Technical Applications Conference at Northcon 95, Portland, OR, pp. 111-115.
  • Chenoweth, T. and Obradovic, Z., (1995) "A Multi-Component Approach to Stock Market Prediction," Proc. Third Int. Conf. on Artificial Intelligence on Wall Street, New York, N.Y., pp. 74-79.

1994

Journal Articles:

  • Perez, L.G., Flechsig, A.J., Meador, J.L. and Obradovic, Z., (1994) "Training an Artificial Neural Network to Discriminate Between Magnetizing Inrush and Internal Faults," IEEE Trans. on Power Delivery, vol. 9, no. 1., pp. 434-441.
  • Obradovic, Z. and Parberry, I., (1994) "Learning with Discrete Multi-Valued Neurons," Journal of Computer and System Sciences, vol. 49, no. 2, pp. 375-390.

 Refereed Conference Articles

  • Venkateswaran, R. and Obradovic, Z., (1994) "Efficient Learning through Cooperation." Proc. World Congress on Neural Networks, San Diego, CA, vol. 3, pp. 390-395.
  • Mehr, I., and Obradovic, Z., (1994) "Parallel Neural Network Learning Through Repetitive Bounded Depth Trajectory Branching," Proc. 8th IEEE Int. Parallel Processing Symposium, Cancun, Mexico, pp. 784-791.
  • Chenoweth, T. and Obradovic, Z., (1994) "Feature Selection for Predictive Models of the Stock Market," Proc. 2nd Int. Workshop Neural Networks in the Capital Market, Pasadena, CA.
  • .Drossu, R., Lakshman, T.V., Obradovic, Z. and Raghavendra C.S., (1994) "Neural Network Techniques for Video Traffic Prediction," Proc. 6th Int. Workshop on Packed Video, Portland, pp. D.9.1-D.9.4.
  • Fletcher, J. and Obradovic, Z., (1994) "Constructively Learning a Near-Minimal Neural Network Architecture," Proc. IEEE Int. Conf. on Neural Networks, Orlando, FL, pp. 204-208.
  • Obradovic, Z. and Srikumar, R., (1994) "Evolutionary Design of Application Tailored Neural Networks," Proc. IEEE Int. Symp. on Evolutionary Computation, Orlando, FL, pp. 284-289.

Invited Articles

  • Mehr, I., Obradovic, Z. and Venkateshwaran, R., (1994) "Parallel and Distributed Gradient Descent Learning," Notes of the Neural Networks Workshop for the Hanford Community, Pacific Northwest Laboratory, Richland, WA, pp. 31-38.
  • Fletcher, J. and Obradovic, Z., (1994) "Integrating a Parallel Constructive Neural Network Algorithm with an Expert System," Notes of the Neural Networks Workshop for the Hanford Community, Pacific Northwest Laboratory, Richland, WA, pp. 58-66.

1993 and Before

Journal Articles

  • Fletcher, J. and Obradovic, Z., (1993) "Combining Prior Symbolic Knowledge and Constructive Neural Networks," Connection Science: Journal of Neural Computing, Artificial Intelligence and Cognitive Research, vol. 5, nos. 3 & 4, pp. 365-375.
  • Obradovic, Z. and Parberry, I., (1992) "Computing with Discrete Multi-Valued Neurons," Journal of Computer and System Sciences, vol. 45, no. 3, pp. 471-492.
  • Obradovic, Z. and Yan, P., (1990) "Small Depth Polynomial Size Neural Networks," Neural Computation, vol. 2, no. 4, pp. 402-404.
  • Obradovic, Z., Potkonjak, M. and Obradovic, M., (1987) "Design of Efficient Algorithms for VLSI Systolic Arrays," Informatica, vol. 21, pp. 153-159.

 Refereed Conference Articles

  • Fletcher, J. and Obradovic, Z., (1993) "Parallel Constructive Neural Network Learning," Proc. 2nd IEEE Int. Symp. on High-Performance Distributed Computing, Spokane, WA, pp. 174-178.
  • Obradovic, Z. and Fletcher, J., (1993) "Integration of Knowledge-Based and Constructive Learning Neural Networks," Proc. 1993 World Congress on Neural Networks, Portland, OR, vol. 1, pp. 589-592.
  • Perez, L.G., Flechsig, A.J., Meador, J.L. and Obradovic, Z., (1993) "Training an Artificial Neural Network to Discriminate Between Magnetizing Inrush and Internal Faults," IEEE Power Engineering Society 1993 Winter Meeting.
  • Milenkovic, S., Litovski, V. and Obradovic, Z., (1993) "A New Adaptive Move Selection in Simulating Annealing," Proc. 15-16 Int. Annual School on Semiconductor and Hybrid Technologies, pp. 22-31, Sozopol, Bulgaria, 13-17 May, 1992-1993.
  • Obradovic, Z. and Fletcher, J. (1992) "Integration of Knowledge-Based and Constructive Learning Neural Networks," Notes of the 1992 AAAI Workshop on Integrating Neural and Symbolic Processes, held in conjunction with National Conference on Artificial Intelligence AAAI, San Jose, CA.
  • Fletcher, J. and Obradovic, Z. (1992) "Creation of Neural Networks by Hyperplane Generation from Examples Alone," Notes of the Neural Networks for Learning, Recognition, and Control Research Conference, G. A. Carpenter and S. Grossberg (eds.), the Wang Institute of Boston University.
  • Meador, J. and Obradovic, Z., (1992), "A Connectionist AI Approach to Automatic Test," IEEE Pacific Test Workshop, Whistler, BC, Canada.
  • Obradovic, Z. and Srikumar, R., (1992) "Dynamic Evaluation of a Backup Hypothesis," Notes of the Neural Networks for Learning, Recognition, and Control Research Conference, G. A. Carpenter and S. Grossberg (eds.), the Wang Institute of Boston University.
  • Palmer, D., Obradovic, Z. and Allison, C. (1992) "Determining the Cause for Poor Performance of a Classification Learning System," Notes of the Neural Networks for Learning, Recognition, and Control Research Conference, G. A. Carpenter and S. Grossberg (eds.), the Wang Institute of Boston University.
  • Obradovic, Z. and Parberry, I., (1990) "Analog Neural Networks of Limited Precision I:Computing with Multilinear Threshold Functions," in Advances in Neural Information Processing Systems 2, ed. D.S. Touretzky, San Mateo, CA: Morgan-Kaufmann, pp. 702- 709.
  • Obradovic, Z. and Parberry, I., (1990) "Learning with Discrete Multi-Valued Neurons," Machine Learning: Proc. of the Seventh Computer at the University, Cavtat, pp. 2S.01.1-2S.01.4.
  • Obradovic, Z. and Potkonjak, M., (1986) "A New Heuristic Algorithm for Solving Traveling Salesman Problem and Similar Problems," Proc. 8-th Int. Symposium Computer at the University, Cavtat, vol. I, pp. 37.1-37.7.
  • Protic, V., Mladenovic, B. and Obradovic, Z., (1986) "An Environment for Microcomputer Development, Testing and Installation," Proc. 10-th BIH Symposium on Informatics, Jahorina, pp. 187.1-187.8.


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