Zoran Obradovic

Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough: D²P²: database of disordered protein predictions. Nucleic Acids Research 41(Database-Issue): 508-516 (2013)

Mohamed F. Ghalwash, Zoran Obradovic: Early classification of multivariate temporal observations by extraction of interpretable shapelets. BMC Bioinformatics 13: 195 (2012)

Li An, Haibin Ling, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou: Learning pair-wise gene functional similarity by multiplex gene expression maps. BMC Bioinformatics 13(S-3): S1 (2012)

Dairong Wang, Henry P. Parkman, Michael R. Jacobs, Anurag K. Mishra, Evgeny Krynetskiy, Zoran Obradovic: DNA microarray SNP associations with clinical efficacy and side effects of domperidone treatment for gastroparesis. Journal of Biomedical Informatics 45(2): 316-322 (2012)

Kosta Ristovski, Slobodan Vucetic, Zoran Obradovic: Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval. IEEE T. Geoscience and Remote Sensing 50(2): 409-414 (2012)

Qiang Lou, Zoran Obradovic: Margin-Based Feature Selection in Incomplete Data. AAAI 2012

Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic: Early classification of multivariate time series using a hybrid HMM/SVM model. BIBM 2012: 1-6

Qiang Lou, Zoran Obradovic: Predicting viral infection by selecting informative biomarkers from temporal high-dimensional gene expression data. BIBM 2012: 1-4

Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic: A data mining approach for optimization of acute inflammation therapy. BIBM 2012: 1-6

Ping Zhang, Zoran Obradovic: Integration of multiple annotators by aggregating experts and filtering novices. BIBM 2012: 1-6

Qiang Lou, Henry P. Parkman, Michael R. Jacobs, Evgeny Krynetskiy, Zoran Obradovic: Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space. CIBCB 2012: 156-163

Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic: A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. CIBCB 2012: 252-259

Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly: Mining Extremes: Severe Rainfall and Climate Change. ECAI 2012: 899-900

Boris Delibasic, Zoran Obradovic: Towards a DGSS Prototype for Early Warning for Ski Injuries. ICDE Workshops 2012: 68-72

Qiang Lou, Zoran Obradovic: Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates. ICDM 2012: 996-1001

George Mathew, Zoran Obradovic: Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data. ICMLA (2) 2012: 178-183

Jelena Slivka, Ping Zhang, Aleksandar Kovacevic, Zora Konjovic, Zoran Obradovic: Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. ICMLA (1) 2012: 458-463

Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic: Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS 2012: 1948-1951

Joseph Jupin, Justin Y. Shi, Zoran Obradovic: Understanding Cloud Data Using Approximate String Matching and Edit Distance. SC Companion 2012: 1234-1243

Gordana Pavlovic-Lazetic, Nenad S. Mitic, Jovana J. Kovacevic, Zoran Obradovic, Sasa N. Malkov, Milos V. Beljanski: Bioinformatics analysis of disordered proteins in prokaryotes. BMC Bioinformatics 12: 66 (2011)

Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic, Zoran Obradovic: Component-based decision trees for classification. Intell. Data Anal. 15(5): 671-693 (2011)

Alan J. Izenman, Philip W. Harris, Jeremy Mennis, Joseph Jupin, Zoran Obradovic: Local spatial biclustering and prediction of urban juvenile delinquency and recidivism. Statistical Analysis and Data Mining 4(3): 259-275 (2011)

Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. Statistical Analysis and Data Mining 4(5): 470-486 (2011)

Li An, Haibin Ling, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou: Identifying pair-wise gene functional similarity by multiplex gene expression maps and supervised learning. BCB 2011: 182-190

George Mathew, Zoran Obradovic: Constraint graphs as security filters for privacy assurance in medical transactions. BCB 2011: 502-504

Uros Midic, Zoran Obradovic: Intrinsic Disorder in Putative Protein Sequences. BIBM 2011: 43-48

Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic: Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. BIBM 2011: 574-577

George Mathew, Zoran Obradovic: A privacy-preserving framework for distributed clinical decision support. ICCABS 2011: 129-134

Vladimir Ouzienko, Zoran Obradovic: Imputation of Missing Links and Attributes in Longitudinal Social Surveys. ICDM Workshops 2011: 957-964

Qiang Lou, Zoran Obradovic: Modeling Multivariate Spatio-Temporal Remote Sensing Data with Large Gaps. IJCAI 2011: 1711-1716

Ping Zhang, Zoran Obradovic: Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion. ECML/PKDD (3) 2011: 553-568

Li An, Desmond J. Smith, Hongbo Xie, Vasileios Megalooikonomou, Zoran Obradovic: Identifying gene functions using functional expression profiles obtained by voxelation. BCB 2010: 188-197

Ping Zhang, Zoran Obradovic: Unsupervised integration of multiple protein disorder predictors. BIBM 2010: 49-52

George Mathew, Zoran Obradovic: Vocabularies in collaboration channels. CollaborateCom 2010: 1-5

Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: Regression Learning with Multiple Noisy Oracles. ECAI 2010: 445-450

Qiang Lou, Zoran Obradovic: Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space. ECAI 2010: 797-802

Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic: Continuous Conditional Random Fields for Regression in Remote Sensing. ECAI 2010: 809-814

Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: Prediction of Attributes and Links in Temporal Social Networks. ECAI 2010: 1121-1122

Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic: Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. KDIR 2010: 370-375

Li An, Hongbo Xie, Mark H. Chin, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou: Analysis of multiplex gene expression maps obtained by voxelation. BMC Bioinformatics 10(S-4) (2009)

Zoran Obradovic, Huan Liu: Special issue on the best papers of SDM'09. Statistical Analysis and Data Mining 2(5-6): 291-293 (2009)

Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen, Zoran Obradovic, A. Keith Dunker, Dong Xu: A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants. BICoB 2009: 18-29

Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Zoran Obradovic: Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data. DaWaK 2009: 366-377

Debasish Das, Zoran Obradovic, Slobodan Vucetic: Active Selection of Sensor Sites in Remote Sensing Applications. ICDM 2009: 758-763

Uros Midic, A. Keith Dunker, Zoran Obradovic: Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 27-31

Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic: Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 71-78

Vasileios Megalooikonomou, Despina Kontos, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic: An adaptive partitioning approach for mining discriminant regions in 3D image data. J. Intell. Inf. Syst. 31(3): 217-242 (2008)

Li An, Hongbo Xie, Mark H. Chin, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou: Analysis of Multiplex Gene Expression Maps Obtained by Voxelation. BIBM 2008: 23-28

Siyuan Ren, Zoran Obradovic: Improvement of Survival Prediction from Gene Expression Profiles by Mining of Prior Knowledge. BIBM 2008: 372-375

Debasish Das, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic: Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation. IGARSS (2) 2008: 879-882

Zhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic: Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression. SDM 2008: 165-176

Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic: Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. SDM 2008: 609-620

Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.: ProtBuD: a database of biological unit structures of protein families and superfamilies. Bioinformatics 23(15): 2028 (2007)

Uros Midic, A. Keith Dunker, Zoran Obradovic: Exploring alternative knowledge representations for protein secondary-structure prediction. IJDMB 1(3): 286-313 (2007)

Megan Sickmeier, Justin A. Hamilton, Tanguy LeGall, Vladimir Vacic, Marc S. Cortese, Agnes Tantos, Beata Szabo, Peter Tompa, Jake Yue Chen, Vladimir N. Uversky, Zoran Obradovic, A. Keith Dunker: DisProt: the Database of Disordered Proteins. Nucleic Acids Research 35(Database-Issue): 786-793 (2007)

A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky: Intrinsically Disordered Proteins: Predictions and Applications. BIBE 2007: 1

A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky: Intrinsically Disordered Proteins: An Update. BIBE 2007: 49-58

Bo Han, Zoran Obradovic, Zhang-Zhi Hu, Cathy H. Wu, Slobodan Vucetic: Substring selection for biomedical document classification. Bioinformatics 22(17): 2136-2142 (2006)

Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.: ProtBuD: a database of biological unit structures of protein families and superfamilies. Bioinformatics 22(23): 2876-2882 (2006)

Kang Peng, Predrag Radivojac, Slobodan Vucetic, A. Keith Dunker, Zoran Obradovic: Length-dependent prediction of protein intrinsic disorder. BMC Bioinformatics 7: 208 (2006)

Bo Han, Slobodan Vucetic, Amy Braverman, Zoran Obradovic: A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data. Eng. Appl. of AI 19(7): 787-795 (2006)

Yilian Qin, Zoran Obradovic: Efficient Learning from Massive Spatial-Temporal Data Through Selective Support Vector Propagation. ECAI 2006: 526-530

Min Song, Il-Yeol Song, Robert B. Allen, Zoran Obradovic: Keyphrase extraction-based query expansion in digital libraries. JCDL 2006: 202-209

Dragoljub Pokrajac, Vasileios Megalooikonomou, Aleksandar Lazarevic, Despina Kontos, Zoran Obradovic: Applying spatial distribution analysis techniques to classification of 3D medical images. Artificial Intelligence in Medicine 33(3): 261-280 (2005)

Slobodan Vucetic, Zoran Obradovic, Vladimir Vacic, Predrag Radivojac, Kang Peng, Lilia M. Iakoucheva, Marc S. Cortese, J. David Lawson, Celeste J. Brown, Jason G. Sikes, Crystal D. Newton, A. Keith Dunker: DisProt: a database of protein disorder. Bioinformatics 21(1): 137-140 (2005)

Kang Peng, Slobodan Vucetic, Predrag Radivojac, Celeste J. Brown, A. Keith Dunker, Zoran Obradovic: Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information. J. Bioinformatics and Computational Biology 3(1): 35-60 (2005)

Slobodan Vucetic, Zoran Obradovic: Collaborative Filtering Using a Regression-Based Approach. Knowl. Inf. Syst. 7(1): 1-22 (2005)

Uros Midic, A. Keith Dunker, Zoran Obradovic: Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments. CIBCB 2005: 490-497

Kang Peng, Slobodan Vucetic, Zoran Obradovic: Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. SDM 2005

Predrag Radivojac, Nitesh V. Chawla, A. Keith Dunker, Zoran Obradovic: Classification and knowledge discovery in protein databases. Journal of Biomedical Informatics 37(4): 224-239 (2004)

Kang Peng, Zoran Obradovic, Slobodan Vucetic: Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. ECAI 2004: 623-627

Predrag Radivojac, Zoran Obradovic, A. Keith Dunker, Slobodan Vucetic: Feature Selection Filters Based on the Permutation Test. ECML 2004: 334-346

Despina Kontos, Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic, Orest B. Boyko, James Ford, Fillia Makedon, Andrew J. Saykin: Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. MICCAI (2) 2004: 727-735

Kang Peng, Zoran Obradovic, Slobodan Vucetic: Exploring Bias in the Protein Data Bank Using Contrast Classifiers. Pacific Symposium on Biocomputing 2004: 435-446

Dragoljub Pokrajac, Reed L. Hoskinson, Zoran Obradovic: Modeling Spatial-Temporal Data with a Short Observation History. Knowl. Inf. Syst. 5(3): 368-386 (2003)

Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Zoran Obradovic: Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. ICDM 2003: 267-274

Bo Han, Slobodan Vucetic, Zoran Obradovic: Reranking Medline Citations by Relevance to a Difficult Biological Query. Neural Networks and Computational Intelligence 2003: 38-43

Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker: Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions. Pacific Symposium on Biocomputing 2003: 216-227

Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, Zoran Obradovic: Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. SDM 2003

Aleksandar Lazarevic, Zoran Obradovic: Boosting Algorithms for Parallel and Distributed Learning. Distributed and Parallel Databases 11(2): 203-229 (2002)

Aleksandar Lazarevic, Zoran Obradovic: Knowledge Discovery in Multiple Spatial Databases. Neural Computing and Applications 10(4): 339-350 (2002)

Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker: Improving Sequence Alignments For Intrinsically Disordered Proteins. Pacific Symposium on Biocomputing 2002: 589-600

Aleksandar Lazarevic, Zoran Obradovic: Adaptive boosting techniques in heterogeneous and spatial databases. Intell. Data Anal. 5(4): 285-308 (2001)

Slobodan Vucetic, Zoran Obradovic: Classification on Data with Biased Class Distribution. ECML 2001: 527-538

Aleksandar Lazarevic, Zoran Obradovic: The distributed boosting algorithm. KDD 2001: 311-316

Aleksandar Lazarevic, Zoran Obradovic: Data Reduction Using Multiple Models Integration. PKDD 2001: 301-313

R. M. Williams, Zoran Obradovic, V. Mathura, W. Braun, E. C. Garner, J. Young, S. Takayama, Celeste J. Brown, A. Keith Dunker: The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder. Pacific Symposium on Biocomputing 2001: 89-100

Pedro Romero, Zoran Obradovic, A. Keith Dunker: Intelligent Data Analysis for Protein Disorder Prediction. Artif. Intell. Rev. 14(6): 447-484 (2000)

Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic: Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. SIGKDD Explorations 2(2): 108-109 (2000)

Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic: Distributed clustering and local regression for knowledge discovery in multiple spatial databases. ESANN 2000: 129-134

Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez: A tool for controlled knowledge discovery in spatial domains. ESM 2000: 26-32

Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez: Understanding the influence of noise, sampling density and data distribution on spatial prediction quality through the use of simulated data. ESM 2000: 706-708

Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic: A Software System for Spatial Data Analysis and Modeling. HICSS 2000

Slobodan Vucetic, Zoran Obradovic: Discovering Homogeneous Regions in Spatial Data through Competition. ICML 2000: 1095-1102

Dragoljub Pokrajac, Zoran Obradovic: Learning Heterogeneous Functions from Sparse and Non-Uniform Sample. IJCNN (3) 2000: 103-108

Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic: Distributed and parallel knowledge discovery (workshop session - title only). KDD 2000: 534

Slobodan Vucetic, Zoran Obradovic: Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. PAKDD 2000: 29-39

Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic: Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. PAKDD 2000: 329-340

Alioune Ngom, Ivan Stojmenovic, Zoran Obradovic: Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms. ISMVL 1998: 209-214

Radu Drossu, Zoran Obradovic: Regime Signaling Techniques for Non-stationary Time Series. HICSS (5) 1997: 530-538

Tim Chenoweth, Zoran Obradovic, Sauchi Stephen Lee: Embedding Technical Analysis Into Neural Network Based Trading Systems. Applied Artificial Intelligence 10(6): 523-542 (1996)

Tim Chenoweth, Zoran Obradovic: A multi-component nonlinear prediction system for the S&P 500 Index. Neurocomputing 10(3): 275-290 (1996)

Zoran Obradovic, Iuri Mehr: Parallel neural network learning through repetitive bounded depth trajectory branching. Neural Parallel & Scientific Comp. 4(4): 475-492 (1996)

Justin Fletcher, Zoran Obradovic: A discrete approach to constructive neural network learning. Neural Parallel & Scientific Comp. 3(3): 307-320 (1995)

Zoran Obradovic, Ian Parberry: Learning with Discrete Multi-valued Neurons. J. Comput. Syst. Sci. 49(2): 375-390 (1994)

Zoran Obradovic, Rangarajan Srikumar: Evolutionary Design of Application Tailored Neural Networks. International Conference on Evolutionary Computation 1994: 284-289

Iuri Mehr, Zoran Obradovic: Parallel Neural Network Learning Through Repetitive Bounded Depth Trajectory Branching. IPPS 1994: 784-791

Justin Fletcher, Zoran Obradovic: Parallel and Distributed Systems for Constructive Neural Network Learning. HPDC 1993: 174-178

Zoran Obradovic, Ian Parberry: Computing with Discrete Multi-Valued Neurons. J. Comput. Syst. Sci. 45(3): 471-492 (1992)

Zoran Obradovic, Ian Parberry: Learning with Discrete Multi-Valued Neurons. ML 1990: 392-399

Zoran Obradovic, Ian Parberry: Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. NIPS 1989: 702-709