Zoran Obradovic

2009
60	EE	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
2008
59	EE	Zhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic: Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression. SDM 2008: 165-176
58	EE	Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic: Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. SDM 2008: 609-620
57	EE	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)
2007
56	EE	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
55	EE	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
54	EE	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)
53	EE	Uros Midic, A. Keith Dunker, Zoran Obradovic: Exploring alternative knowledge representations for protein secondary-structure prediction. IJDMB 1(3): 286-313 (2007)
52	EE	Megan Sickmeier, Justin A. Hamilton, Tanguy LeGall, Vladimir Vacic, Marc S. Cortese, Agnes Tantos, Beata Szabo, Peter Tompa, Jake Chen, Vladimir N. Uversky, Zoran Obradovic, A. Keith Dunker: DisProt: the Database of Disordered Proteins. Nucleic Acids Research 35(Database-Issue): 786-793 (2007)
2006
51		Yilian Qin, Zoran Obradovic: Efficient Learning from Massive Spatial-Temporal Data Through Selective Support Vector Propagation. ECAI 2006: 526-530
50	EE	Min Song, Il-Yeol Song, Robert B. Allen, Zoran Obradovic: Keyphrase extraction-based query expansion in digital libraries. JCDL 2006: 202-209
49	EE	Kang Peng, Predrag Radivojac, Slobodan Vucetic, A. Keith Dunker, Zoran Obradovic: Length-dependent prediction of protein intrinsic disorder. BMC Bioinformatics 7: 208 (2006)
48	EE	Bo Han, Zoran Obradovic, Zhang-Zhi Hu, Cathy H. Wu, Slobodan Vucetic: Substring selection for biomedical document classification. Bioinformatics 22(17): 2136-2142 (2006)
47	EE	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)
2005
46		Uros Midic, A. Keith Dunker, Zoran Obradovic: Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments. CIBCB 2005: 490-497
45		Kang Peng, Slobodan Vucetic, Zoran Obradovic: Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. SDM 2005
44	EE	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)
43	EE	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)
42	EE	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)
41	EE	Slobodan Vucetic, Zoran Obradovic: Collaborative Filtering Using a Regression-Based Approach. Knowl. Inf. Syst. 7(1): 1-22 (2005)
2004
40		Kang Peng, Zoran Obradovic, Slobodan Vucetic: Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. ECAI 2004: 623-627
39	EE	Predrag Radivojac, Zoran Obradovic, A. Keith Dunker, Slobodan Vucetic: Feature Selection Filters Based on the Permutation Test. ECML 2004: 334-346
38	EE	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
37	EE	Kang Peng, Zoran Obradovic, Slobodan Vucetic: Exploring Bias in the Protein Data Bank Using Contrast Classifiers. Pacific Symposium on Biocomputing 2004: 435-446
36	EE	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)
2003
35	EE	Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Zoran Obradovic: Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. ICDM 2003: 267-274
34		Bo Han, Slobodan Vucetic, Zoran Obradovic: Reranking Medline Citations by Relevance to a Difficult Biological Query. Neural Networks and Computational Intelligence 2003: 38-43
33	EE	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
32	EE	Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, Zoran Obradovic: Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. SDM 2003
31	EE	Dragoljub Pokrajac, Reed L. Hoskinson, Zoran Obradovic: Modeling Spatial-Temporal Data with a Short Observation History. Knowl. Inf. Syst. 5(3): 368-386 (2003)
2002
30	EE	Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker: Improving Sequence Alignments For Intrinsically Disordered Proteins. Pacific Symposium on Biocomputing 2002: 589-600
29		Aleksandar Lazarevic, Zoran Obradovic: Boosting Algorithms for Parallel and Distributed Learning. Distributed and Parallel Databases 11(2): 203-229 (2002)
28	EE	Aleksandar Lazarevic, Zoran Obradovic: Knowledge Discovery in Multiple Spatial Databases. Neural Computing and Applications 10(4): 339-350 (2002)
2001
27	EE	Slobodan Vucetic, Zoran Obradovic: Classification on Data with Biased Class Distribution. ECML 2001: 527-538
26	EE	Aleksandar Lazarevic, Zoran Obradovic: The distributed boosting algorithm. KDD 2001: 311-316
25	EE	Aleksandar Lazarevic, Zoran Obradovic: Data Reduction Using Multiple Models Integration. PKDD 2001: 301-313
24	EE	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
23	EE	Aleksandar Lazarevic, Zoran Obradovic: Adaptive boosting techniques in heterogeneous and spatial databases. Intell. Data Anal. 5(4): 285-308 (2001)
2000
22	EE	Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic: Distributed clustering and local regression for knowledge discovery in multiple spatial databases. ESANN 2000: 129-134
21		Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez: A tool for controlled knowledge discovery in spatial domains. ESM 2000: 26-32
20		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
19	EE	Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic: A Software System for Spatial Data Analysis and Modeling. HICSS 2000
18		Slobodan Vucetic, Zoran Obradovic: Discovering Homogeneous Regions in Spatial Data through Competition. ICML 2000: 1095-1102
17	EE	Dragoljub Pokrajac, Zoran Obradovic: Learning Heterogeneous Functions from Sparse and Non-Uniform Sample. IJCNN (3) 2000: 103-108
16	EE	Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic: Distributed and parallel knowledge discovery (workshop session - title only). KDD 2000: 534
15		Slobodan Vucetic, Zoran Obradovic: Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. PAKDD 2000: 29-39
14		Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic: Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. PAKDD 2000: 329-340
13		Pedro Romero, Zoran Obradovic, A. Keith Dunker: Intelligent Data Analysis for Protein Disorder Prediction. Artif. Intell. Rev. 14(6): 447-484 (2000)
12	EE	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)
1998
11	EE	Alioune Ngom, Ivan Stojmenovic, Zoran Obradovic: Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms. ISMVL 1998: 209-214
1997
10	EE	Radu Drossu, Zoran Obradovic: Regime Signaling Techniques for Non-stationary Time Series. HICSS (5) 1997: 530-538
1996
9	EE	Tim Chenoweth, Zoran Obradovic, Sauchi Stephen Lee: Embedding Technical Analysis Into Neural Network Based Trading Systems. Applied Artificial Intelligence 10(6): 523-542 (1996)
8	EE	Tim Chenoweth, Zoran Obradovic: A multi-component nonlinear prediction system for the S&P 500 Index. Neurocomputing 10(3): 275-290 (1996)
1994
7		Iuri Mehr, Zoran Obradovic: Parallel Neural Network Learning Through Repetitive Bounded Depth Trajectory Branching. IPPS 1994: 784-791
6		Zoran Obradovic, Rangarajan Srikumar: Evolutionary Design of Application Tailored Neural Networks. International Conference on Evolutionary Computation 1994: 284-289
5		Zoran Obradovic, Ian Parberry: Learning with Discrete Multi-valued Neurons. J. Comput. Syst. Sci. 49(2): 375-390 (1994)
1993
4		J. Fletcher, Zoran Obradovic: Parallel and Distributed Systems for Constructive Neural Network Learning. HPDC 1993: 174-178
1992
3		Zoran Obradovic, Ian Parberry: Computing with Discrete Multi-Valued Neurons. J. Comput. Syst. Sci. 45(3): 471-492 (1992)
1990
2		Zoran Obradovic, Ian Parberry: Learning with Discrete Multi-Valued Neurons. ML 1990: 392-399
1989
1	EE	Zoran Obradovic, Ian Parberry: Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. NIPS 1989: 702-709

Coauthor Index

1	Ganesh Kumar Agrawal	[60]
2	Robert B. Allen	[50]
3	Orest B. Boyko	[38]
4	W. Braun	[24]
5	Celeste J. Brown	[24] [30] [33] [42] [43]
6	Adrian A. Canutescu	[47] [54]
7	Philip Chan	[16]
8	Nitesh V. Chawla	[36]
9	Jake Chen	[52]
10	Tim Chenoweth	[8] [9]
11	Marc S. Cortese	[43] [52]
12	Radu Drossu	[10]
13	Roland L. Dunbrack Jr.	[47] [54]
14	A. Keith Dunker	[13] [24] [30] [33] [36] [39] [42] [43] [46] [49] [52] [53] [55] [56] [60]
15	Tim Fiez	[14] [19] [20] [21]
16	J. Fletcher	[4]
17	James Ford	[38]
18	Jianjiong Gao	[60]
19	E. C. Garner	[24]
20	Joydeep Ghosh	[12]
21	Justin A. Hamilton	[52]
22	Bo Han	[34] [35] [48] [59]
23	Reed L. Hoskinson	[31]
24	Zhang-Zhi Hu	[48]
25	Lilia M. Iakoucheva	[43]
26	Hillol Kargupta	[12] [16]
27	Despina Kontos	[38] [44] [57]
28	Vipin Kumar	[12] [16]
29	J. David Lawson	[43]
30	Aleksandar Lazarevic	[14] [19] [22] [23] [25] [26] [28] [29] [38] [44] [57]
31	Tanguy LeGall	[52]
32	Sauchi Stephen Lee	[9]
33	Fillia Makedon	[38]
34	V. Mathura	[24]
35	Vasileios Megalooikonomou (Vasilis Megalooikonomou)	[38] [44] [57]
36	Iuri Mehr	[7]
37	Jingwei Meng	[55] [56]
38	Uros Midic	[46] [53]
39	Crystal D. Newton	[43]
40	Alioune Ngom	[11]
41	Christopher J. Oldfield	[55] [56]
42	Ian Parberry	[1] [2] [3] [5]
43	Kang Peng	[35] [37] [40] [42] [43] [45] [49]
44	Dragoljub Pokrajac	[17] [20] [21] [22] [31] [32] [38] [44] [57]
45	Yilian Qin	[51]
46	Predrag Radivojac	[30] [33] [36] [39] [42] [43] [49]
47	Vladan Radosavljevic	[58] [59]
48	Pedro Romero	[13] [55] [56]
49	Andrew J. Saykin	[38]
50	Megan Sickmeier	[52]
51	Jason G. Sikes	[43]
52	Il-Yeol Song	[50]
53	Min Song	[50]
54	Rangarajan Srikumar	[6]
55	Ivan Stojmenovic	[11]
56	Beata Szabo	[52]
57	S. Takayama	[24]
58	Agnes Tantos	[52]
59	Jay J. Thelen	[60]
60	Peter Tompa	[52]
61	Vladimir N. Uversky	[52] [55] [56]
62	Vladimir Vacic	[43] [52]
63	Slobodan Vucetic	[15] [18] [27] [32] [34] [35] [37] [39] [40] [41] [42] [43] [45] [48] [49] [58]
64	Zhuang Wang	[59]
65	R. M. Williams	[24]
66	Cathy H. Wu	[48]
67	Hongbo Xie	[32] [35]
68	Dong Xu	[60]
69	Qifang Xu	[47] [54]
70	Jack Y. Yang	[55] [56]
71	J. Young	[24]

Colors in the list of coauthors