Zoran Obradovic - Publications by Topic

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.

I. BIOMEDICAL INFORMATICS

Biomedical Informatics: Journal Articles

Dunker, K., Oldfield, C.J., Meng, J., Romero, P., Yang, J., Chen, J.W., Vacic, V., Obradovic, Z. and Uversky, V.N. (2008) "The Unfoldomics Decade: An Update on Intrinsically Disordered Proteins," BMC Genomics, vol. 9 (Suppl 2):S1, 16. Sept.. (PDF) (Pubmed PMID: 18831774)
Megalooikonomou, V., Kontos, D., Pokrajac, D., Lazarevic, A., Obradovic, Z. (in press) "An Adaptive Partitioning Approach for Mining Discriminant Regions in 3D Image Data," Journal of Intelligent Information Systems.
Xu, Q., Canutescu, A., Wang, G., Shapavalov, M.V., Obradovic, Z. and Dunbrack, R.L. (2008) "Statistical Analysis of Interfaces in Crystals of Homologous Proteins," J. Molecular Biology, vol. 381, pp. 487-507 . (Pubmed PMID: 18599072)
Ren, S., Uversky, V.N., Chen, Z., Dunker, A.K. and Obradovic, Z. (2008) "Short Linear Motifs recognized by SH2, SH3 and Ser/Thr Kinase domains are conserved in disordered protein regions," BMC Genomics.
Krynetskaia, N., Xie, X., Vucetic, S., Obradovic, Z., Krynetskiy, E. (2008), "High Mobility Group Protein B1 is an Activator of Apoptotic Response to Antimetabolite Drugs," Molecular Pharmacology, Jan;73(1):260-9. (Pubmed PMID: 17951356)
Xie, H., Vucetic, S. Iakoucheva L.M., Oldfield C.J., Dunker, A.K., Uversky, V.N. and Obradovic, Z. (2007) "Functional Anthology of Intrinsic Disorder. I. Biological Processes and Functions of Proteins with Long Disordered Regions," Journal of Proteome Research, May;6(5):1882-98. (Pubmed PMID: 17391014)
Vucetic, S., Xie, H., Iakoucheva L.M., Oldfield C.J., Dunker, A.K., Obradovic, Z. and Uversky, V.N. (2007) "Functional Anthology of Intrinsic Disorder. II. Cellular Components, Domains, technical Terms, Developmental processes," Journal of Proteome Research, May 4;6(5):1899-1916. (Pubmed PMID: 17391015)
Xie, H., Vucetic, S. Iakoucheva L.M., Oldfield C.J., Dunker, A.K., Obradovic, Z. and Uversky, V.N. (2007) "Functional Anthology of Intrinsic Disorder. III. Ligands, Postranslational Modifications and Diseases Associated with Intrinsically Disordered Proteins," Journal of Proteome Research, May 4;6(5):1917-1932. (Pubmed PMID: 17391016)
Radivojac, P., Iakoucheva, L.M., Oldfield C.J.,, Obradovic, Z., Uversky, V.N., Dunker A.K. (2007) "Intrinsic Disorder and Functional Proteomics," Biophysical Journal, vol. 92, March 2007, pp. 1439-1456. (Pubmed PMID: 17158572)
Midic, U. Dunker, K. and Obradovic, Z. (2007) "Exploring alternative knowledge representations for protein secondary-structure prediction," Int'l Journal of Data Mining and Bioinformatics, 1(3):286-313. (Pubmed PMID: 18399076)
Sickmeier, M., Hamilton, A., LeGall, T. Vacic, V., Cortese, M.S., Uversky, V.N., Tompa, P., Obradovic, Z. and Dunker, A.K. (2007) "DisProt: The Database of Disordered Proteins," Nucleic Acids Research, 35(Database issue):D786-93. (Pubmed PMID: 17145717)
Xu, Q., Canutescu, A., Obradovic, Z. and Dunbrack, R.L. (2006) "ProtBuD: A Database of Biological Unit Structures of Protein Families and Superfamilies," Bioinformatics, Dec 1;22(23):2876-82. (Pubmed PMID: 17018535)
Han, B., Obradovic, Z., Hu, Z.Z., Wu, C. H. and Vucetic, S. (2006) "Substring Selection for Biomedical Document Classification," Bioinformatics, Dec 1;22(23):2876-82. (Pubmed PMID: 16837530)
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. (Pubmed PMID: 16717195)
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. (Pubmed PMID: 16618368)
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. (Pubmed PMID: 16493654)
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. (Pubmed PMID: 16187360)
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) (Pubmed PMID: 15751111)
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) (Pubmed PMID: 15310560)
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. (Pubmed PMID: 15811790)
Romero, P., Obradovic, Z., and Dunker, A.K.(2004) "Natively Disordered Proteins: Functions and Predictions," Applied Bioinformatics, 3(2-3), pp.105-13. (Pubmed PMID: 15693736)
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) (Pubmed PMID: 15465476)
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) (Pubmed PMID: 14960716)
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) (Pubmed PMID: 14579347)
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) (Pubmed PMID: 14691223)
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) (Pubmed PMID: 12910457)
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) (Pubmed PMID: 12717028)
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) (Pubmed PMID: 12381310)
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) (Pubmed PMID: 12022860)
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) (Pubmed PMID: 12418100)
Dunker, A.K and Obradovic, Z. (2001) "The Protein Trinity - Linking Function and Disorder," Nature Biotechnology, vol. 19, Sept., pp. 805-806. (PDF) (Pubmed PMID: 11533628)
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. (PDF) (Pubmed PMID: 11381529)
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) (Pubmed PMID: 11093259)
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)
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) (Pubmed PMID: 10622726)
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.

Biomedical Informatics: Peer Reviewed Book Chapters

Xie, H., Midic, U., Vucetic, S. and Obradovic, Z. (2008) "Algorithmic Methods for the Analysis of Gene Expression Data," chapter 4 in Handbook of Applied Algorithms: Solving Scientific, Engineering, and Practical Problems (eds. A. Nayak and I. Stojmenovic), Willey-IEEE Press, pp. 115-146. (PDF)
Uversky V.N., Radivojac, P., Iakoucheva, L.M., Obradovic, Z. and Dunker, A.K. (2007) "Prediction of Intrinsic Disorder and its Use in Functional Proteomics," chapter 5 in Methods in Molecular Biology vol. 408: Gene Function Analysis (ed. M. Ochs), Humana Press Inc., Totowa, N.J. (Pubmed PMID: 18314578)
Peng, K. Obradovic, Z. and Vucetic, S. (2006) "Supervised Learning under Sample Selection Bias from Protein Structure Databases," in Advances in Applied and Computational Mathematics, Nova Science Publishers, pp. 153-170.

Biomedical Informatics: Fully Refereed Conference Articles

Ren, S. and Obradovic, Z. (in press) "Improvement of Survival Prediction from Gene Expression Profiles by Mining of Prior Knowledge."
An L., Xie H., Chin M., Obradovic Z., Smith D., Megalooikonomou V., (in press) "Analysis of Multiplex Gene Expression Maps Obtained by Voxelation."
Dunker, K., Oldfield, C.J., Meng, J. Romero, P., Yang, J., Obradovic, Z. and Uversky, V.N. (2007) "Intrinsically Disordered Proteins: An Update," Proc. IEEE 7th Int'l Symp. Bioinformatics and Bioengineering, Harvard Medical School, Cambridge, MA, 2007, pp. 49-58.
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.
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. (PDF)
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)
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. (PDF)
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. (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, 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) (Pubmed PMID: 12603030)
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) (Pubmed PMID: 11928510)
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, pp. 62-73.
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 (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) (Pubmed PMID: 11262981)
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.
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.
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. (PDF) (Pubmed PMID: 11700597)
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. (PDF) (Pubmed PMID: 11700598)
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. Genome Informatics 10, Tokyo, Japan, pp. 30-40. (PDF) (Pubmed PMID: 11072340)
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) (Pubmed PMID: 11072341)
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) (Pubmed PMID: 11072335)
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) (Pubmed PMID: 11072336)
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) (Pubmed PMID: 9697202)
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. (Pubmed PMID: 9697205)
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) (Pubmed PMID: 11072311)
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.

II. DATA MINING

Spatial and Spatio-Temporal Data Mining: Journal Articles

Vucetic, S., Han, B., Mi, W., Li. Z., Obradovic, Z. (2008) "A Data Mining Approach for the Validation of Aerosol Retrievals," IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 1, pp. 113-117.
Han, B., Vucetic, S., Braverman, A. and Obradovic, Z. (2006) "A Statistical Complement to Deterministic Algorithms for Retrieving Aerosol Optical Thickness from Radiance Data," Engineering Applications of Artificial Intelligence, vol. 19, no. 7, pp. 787-795.
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. (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. (PS)
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., 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)

Spatial and Spatio-Temporal Data Mining: Peer Reviewed Book Chapters

Han, B., Obradovic, Z. and Vucetic, S. (2008) "Using Statistical Methods to Improve Efficiency and Accuracy of Aerosol Retrievals," Chapter 7 in Discrete and Computational Mathematics, Nova Science Publishers, Editors: F. Liu, Gaston M. N'Guerekata, D. Pokrajac, X. Shi, J. Sun, X. Xia, pp. 93-106.

Spatial and Spatio-Temporal Data Mining: Fully Refereed Conference Articles

Ayuyev, V., Jupin, J., Harris, P. and Obradovic, Z. (in review) "Density Based Clustering for Estimation of Missing Values in Mixed Type Data."
Das, D., Radosavljevic, V., Vucetic, S., Obradovic, Z. (2008) "Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation," IEEE Int'l Geoscience and Remote Sensing Symposium, July, Boston, MA.
Radosavljevic, V., Vucetic, S., Obradovic, Z. (2008) "Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy," Proc. Eight SIAM Int'l Conf. on Data Mining, April 24-26, 2008, Atlanta, GA, USA.
Zhuang, W., Radosavljevic, Han, B., Obradovic, Z., Vucetic, S. (2008) "Aerosol Optical Depth Prediction from Satellite Observations by Multiple Instance Regression," Proc. Eight SIAM Int'l Conf. on Data Mining,, Atlanta, GA, USA, 2008.
Radosavljevic, V., Vucetic, S., Obradovic, Z. (2007) "Aerosol Optical Depth Retrieval by Neural Network Ensembles with Adaptive Cost Function," Proc. 10th Int'l Conf. Engineering Applications of Neural Networks," Thessaloniki, Greece, Aug. 2007, pp. 266-275.
Han, B., Obradovic, Z, Li, Z. and Vucetic, S., (2006) "Data Mining Support for Improvement of MODIS Aerosol Retrievals," Proc. IEEE Int'l Geoscience and Remote Sensing Symp., Denver, CO, Aug. 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.
Qin, Y. and Obradovic, Z. (2006) "Efficient Learning from Massive Spatial-Temporal Data through Selective Support Vector Propagation," Proc. 16th European Conf. on Artificial Intelligence, Italy.
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.
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)
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)
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. (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, 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. (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, 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. (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)
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)

Spatial and Spatio-Temporal Data Mining: Invited and Non-Refereed 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

Predictive Data Mining Methods: Journal Articles

Jones, P.R., Schwartz, D., Schwartz, I.M., Obradovic, Z., Jupin, J., (2006) "Risk Classification and Juvenile Dispositions: What is the State of the Art?" Temple Law Review, vol. 79, no. 2.
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., 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.

Predictive Data Mining Methods: Peer Reviewed Book Chapters

Schwartz, I.M., Jones, P.R., Schwartz, D., Obradovic, Z. (2008) "Improving Social Work Through the Use of Technology and Advanced Research Methods," chapter 13 in Child Welfare Research: Advances for Practice and Policy (eds. Lindsey, D. and Shlonsky, A.) Oxford, pp. 214-230.
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. (PS)

Predictive Data Mining Methods: Fully Refereed Conference Articles

Song, M., Song, I.Y., Allen, R.B and Obradovic, Z. (2006) "Improving Retrieval Performance by Automatic Query Expansion with Keyphrases and POS Phrase Categorization, Proc. 6th ACM/IEEE-CS Joint Conf. Digital Libraries, Chapel Hill, NC.
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. (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. (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.
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)
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., No. 347, Session 8.1B.

Parallel and Distributed Data Mining: Journal Articles

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.
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.

Parallel and Distributed Data Mining: Fully Refereed Conference Articles

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 Distributed Boosting Algorithm," Proc. 7th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, San Francisco, CA, pp. 311-316.
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)
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)
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.
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.

Parallel and Distributed Data Mining: Invited and Non-Refereed 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)
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.

Time Series Analysis: Journal Articles

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)
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.
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.
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.

Time Series Analysis: 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)
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.
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
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.

Time Series Analysis: Fully Refereed Conference Articles

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.
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.
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., (1995) "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.

Time Series Analysis: Lightly Refereed 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.
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.

III. KNOWLEDGE SYSTEMS

Hybrid Knowledge Systems: Journal Articles

Obradovic, Z. and Srikumar, R. (2001) "Parallelizing Design of Application Tailored Neural Networks," Facta Universitatis, Ser. Mathematics and Informatics, vol. 16, pp. 97-108.
Obradovic, Z. and Srikumar, R. (2000) "Constructive Neural Networks Design Using Genetic Optimization," Facta Universitatis, Ser. Mathematics and Informatics, vol. 15, pp. 133-146
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.
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.
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.

Hybrid Knowledge Systems: Peer Reviewed Book Chapters

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. (PDF)

Hybrid Knowledge Systems: Fully Refereed Conference Articles

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.
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. 3rd Int. Conf. on Artificial Intelligence on Wall Street, New York, N.Y., pp. 74-79.
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.
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.
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.

Hybrid Knowledge Systems: Lightly Refereed Conference Articles

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.

Hybrid Knowledge Systems: Invited and Non-Refereed Articles

Obradovic, Z. (1998) "Embedding Prior Knowledge to Statistical Learning Systems for Efficient Knowledge Discovery in Large Databases," Symposium on Contemporary Mathematics, Belgrade, Yugoslavia.
Obradovic, Z. (1997) "Guest Editorial: Hybrid Intelligence for Financial Forecasting," Journal of Computational Intelligence in Finance, vol. 5, no. 1, pp. 4-5.
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.

Neural Networks: Journal Articles

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. (PS)
Obradovic, Z., (1996) "Computing with Nonmonotone Multivalued Neurons," Multiple Valued Logic, vol. 1, no. 4, pp. 271-294.
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.
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.

Neural Networks: Fully Refereed Conference Articles

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.
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.
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.
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.
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. 2nd Online Workshop on Evolutionary Computation, March 11-22, 1996, pp. 49-52. Also at WWW location http://www.bioele.nuee.nagoya-u.ac.jp/wec2/papers/p015.html.
Drossu, R., Lakshman, T.V., Obradovic, Z. and Raghavendra C.S. (1994) "Neural Network Techniques for Video Traffic Prediction," Proc. 6th Int'l. 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'l. 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'l. Symp. Evolutionary Computation, Orlando, FL, pp. 284-289.
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.
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. 7th Int'l. Conf., ed. B. W. Porter and R.J. Mooney, Austin, TX, Morgan-Kaufmann, pp. 392-399.

Neural Networks: Lightly Refereed Conference Articles

Milenkovic, S., Litovski V. and Obradovic Z. (1996) "Nondeterminism in Artificial Neural Networks," Proc. Int'l. Memorial Conference "D.S.Mitrinovic", Nis, Yugoslavia.
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.
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.