1. Shapovalov, M., Vucetic, S., Dunbrack, R.L., A New Clustering and Nomenclature for Beta Turns Derived from High-Resolution Protein Structures, PLoS Computational Biology, Vol. 15 (3), 2019. (download)
2. Vucetic, S., Chanda, A.K., Zhang, S., Bai, T., Maiti, A., Faculty Citation Measures are Highly Correlated with Peer Assessment of Computer Science Doctoral Programs, Communications of the ACM, Vol. 61(9), pp. 70-76, 2018. (download)
3. Bai, T., Chanda, A.K., Egleston, B.L., Vucetic, S., EHR Phenotyping via Jointly Embedding Medical Concepts and Words into a Unified Vector Space, BMC Medical Informatics and Decision Making, Vol. 18(4), no. 123, 2018. (download)
4. Jiang, Y., et al. "An Expanded Evaluation of Protein Function Prediction Methods Shows an Improvement in Accuracy" Genome Biology, Vol. 17(1), no. 184, 2016. (download)
5. Djuric, N., Kansakar, L., Vucetic, S., Semi-Supervised Combination of Experts for Aerosol Optical Depth Estimation, Artificial Intelligence Journal, Vol. 230, pp. 1-13, 2016. (download)
6. Zhang, K., Lan, L., Kwok, T.J., Vucetic, S., Parvim, B., Scaling up Graph-Based Semisupervised Learning via Prototype Vector Machines, IEEE Transactions on Neural Networks and Learning Systems, Vol. 26 (3), pp. 444-457, 2015. (download)
7. Djuric, N., Radosavljevic, V., Obradovic, Z., Vucetic, S., Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals, IEEE Geoscience and Remote Sensing Letters, Vol. 12, no. 4, pp. 761-765, 2014. (download)
8. Djuric, N., Lan, L., Vucetic, S., Wang, Z., BudgetedSVM: A Toolbox for Scalable SVM Approximations, Journal of Machine Learning Research, Vol. 14, pp.3813−3817, 2013. (download) BudgetedSVM web site
9. Grbovic M., Li W., Subrahmanya N. A., Usadi A. K., Vucetic, S., Cold Start Approach for Data Driven Fault Detection, IEEE Transactions on Industrial Informatics, Vol. 9(4), pp. 2264 – 2273, 2013. (download)
10. Lan, L., Vucetic, S., Multi-task Feature Selection in Microarray Data by Binary Integer Programming, BMC Bioinformatics, Vol. 7(Suppl 7):S5, 2013. (download)
11. Grbovic, M., Djuric, N., Guo, S., Vucetic, S., Supervised Clustering of Label Ranking Data using Label Preference Information, Machine Learning Journal, Vol. 93 (2-3), pp 191-225, 2013. (download)
12. Grbovic M., Vucetic S., Decentralized Estimation using Distortion Sensitive Learning Vector Quantization, Pattern Recognition Letters, Vol. 34 (9), pp. 963–969, 2013. (download)
13. Lan, L., Djuric, N., Guo, Y., Vucetic, S., MS-kNN: Protein Function Prediction by Integrating Multiple Data Sources, BMC Bioinformatics, Vol. 14 (suppl. 3):S8, 2013. (download)
14. Radivojac, P., Clark, W. T., ..., Toppo, S., Lan, L., Djuric, N., Guo, Y., Vucetic, S., Bairoch, A., Linial, M., Babbitt, P. C., et al., A Large-scale Evaluation of Computational Protein Function Prediction, Nature Methods, Vol. 10(3), pp. 221-229, 2013. (download)
15. Wang, Z., Crammer, K., Vucetic, S., Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training, Journal of Machine Learning Research, Vol. 13, pp. 3103−3131, 2012. (download)
16. Grbovic M., Weichang L., Peng X., Usadi A. K., Vucetic S., Decentralized Fault Detection and Diagnosis via Sparse PCA based Decomposition and Maximum Entropy Decision Fusion, Journal of Process Control, Vol. 22, pp. 738– 750, 2012. (download)
17. Coric, V., Djuric, N., Vucetic, S., Traffic State Estimation from Aggregated Measurements using Signal Reconstruction Techniques, Transportation Research Record: Journal of the Transportation Research Board, Traffic Flow Theory and Characteristics, no. 2315, pp. 121-130, 2012. (download)
18. Wang, Z., Lan, L. Vucetic, S., Mixture Model for Multiple Instance Regression and Applications in Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50 (6), pp. 2226 – 2237, 2012. (download)
19. Ristovski, K., Vucetic, S., Obradovic, Z., Uncertainty Analysis of Neural Network-Based Aerosol Retrieval, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50 (2), pp. 409-414, 2012. (download)
20. Djuric, N., Radosavljevic, V., Coric, V., Vucetic, S., Travel Speed Forecasting by Means of Continuous Conditional Random Fields, Transportation Research Record: Journal of the Transportation Research Board, no. 2263, pp. 131-139, 2011. (download)
21. Lan, L., Vucetic, S., Improving Accuracy of Microarray Classification by a Simple Multi-Task Feature Selection Filter, International Journal of Data Mining and Bioinformatics, Vol. 5 (2), pp. 189-208, 2011. (download)
22. Wang, Z., Vucetic, S., Online Training on a Budget of Support Vector Machines using Twin Prototypes, Statistical Analysis and Data Mining Journal, Vol 3 (3), pp. 149-169, 2010. (download)
23. Radosavljevic, V., Vucetic, S., Obradovic, Z., A Data Mining Technique for Aerosol Retrieval Accross Multiple Accuracy Measures, IEEE Geoscience and Remote Sensing Letters, Vol 7 (2), pp. 411 – 415, 2010. (download)
24. Uversky, V.N., Oldfield, C.J., Midic, U., Xie, H., Xue, B., Vucetic, S., Iakoucheva, L.M., Obradovic, Z., Dunker, A.K., Unfoldomics of Human Diseases: Linking Protein Intrinsic Disorder with Diseases, BMC Genomics, 10 (Suppl 1):S7, 2009. (download)
25. Vucetic, S., Han, B., Mi, W., Li, Z., Obradovic, Z., A Data Mining Approach for the Validation of Aerosol Retrievals, IEEE Geoscience and Remote Sensing Letters, Vol. 5 (1), pp. 113-117, 2008. (download)
26. Krynetskaia, N., Xie, H., Vucetic, S., Obradovic, Z., Krynetskiy, E., High Mobility Group Protein B1 is an Activator of Apoptotic Response to Antimetabolite Drugs, Molecular Pharmacology, Vol. 73, pp. 260-269, 2008. (download)
27. Xie, H., Vucetic, S., Iakoucheva, L.M., Oldfield, C.J., Dunker, A.K., Uversky, V.N., Obradovic, Z., Functional Anthology of Intrinsic Disorder. I. Biological Processes and Functions of Proteins with Long Disordered Regions, Journal of Proteome Research, Vol. 6 (5), pp. 1882 -1898, 2007. (download)
28. Vucetic, S., Xie, H., Iakoucheva, L.M., Oldfield, C.J., Dunker, A.K., Obradovic, Z., Uversky, V.N., Anthology of Intrinsic Disorder. II. Cellular Components, Domains, Technical Terms, Developmental Processes and Coding Sequence Diversities Correlated with Long Disordered Regions, Journal of Proteome Research, Vol. 6 (5), pp. 1899 -1916, 2007. (download)
29. Xie, H., Vucetic, S., Iakoucheva, L.M., Oldfield, C.J., Dunker, A.K., Obradovic, Z., Uversky, V.N., Functional Anthology of Intrinsic Disorder. III. Ligands, Postranslational Modifications and Diseases Associated with Intrinsically Disordered Proteins, Journal of Proteome Research, Vol. 6 (5), pp. 1917 -1932, 2007. (download)
30. Han, B., Obradovic, Z., Hu, Z.Z., Wu, C. H., Vucetic, S., Substring Selection for Biomedical Document Classification, Bioinformatics, Vol. 22 (17), pp. 2136-2142, 2006. (download)
31. Han, B., Vucetic, S., Braverman, A., Obradovic, Z., A Statistical Complement to Deterministic Algorithms for the Retrieval of Aerosol Optical Thickness from Radiance Data, Engineering Applications of Artificial Intelligence, Vol. 19, No. 7, pp. 787-795, 2006. (download)
32. Peng, K., Radivojac, P., Vucetic, S., Dunker A.K, Obradovic, Z., Length-Dependent Prediction of Protein Intrinsic Disorder, BMC Bioinformatics, Vol. 7 (1), 208, 2006. (download)
33. Radivojac, P., Vucetic, S., O'Connor, T.R., Uversky, V.N., Obradovic, Z., Dunker, A.K., Calmodulin Signaling: Analysis and Prediction of a Disorder-Dependent Molecular Recognition, Proteins: Structure, Function, and Bioinformatics, Vol. 63(2), pp. 398-410, 2006. (download)
34. Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., Dunker A.K, Exploiting Heterogeneous Sequence Properties Improves Prediction of Protein Disorder, Proteins: Structure, Function, and Bioinformatics, Vol 61, Suppl 7, pp.176-82, 2005. (download)
35. Vucetic, S., Obradovic, Z., Collaborative Filtering Using a Regression-Based Approach, Knowledge and Information Systems, Vol. 7, No. 1, pp. 1-22, 2005. (download)
36. Peng, K., Vucetic, S., Radivojac, P., Brown, CJ, Dunker, AK., Obradovic, Z., Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information, Journal of Bioinformatics and Computational Biology, Vol 3, No. 1, pp. 35-60, 2005. (download) VL3, VL3H and VL3E Prediction Server Web site
37. Vucetic, S., Obradovic, Z., Vacic, V., Radivojac, P., Peng, K., Iakoucheva, L.M., Lawson, J.D., Brown, C.J., Sikes, J.G., Newton, C., Dunker, A.K., DisProt: A Database of Protein Disorder, Bioinformatics, Vol. 21, No. 1, pp. 137-140, 2005. (download)
38. Radivojac, P., Obradovic, Z., Smith, D.K., Zhu, G., Vucetic, S., Brown, C.J., Lawson, J.D., Dunker, A.K., Protein Flexibility and Intrinsic Disorder, Protein Science, Vol. 13 No. 1, pp. 71-80, 2004. (download)
39. Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., Brown C., Dunker A.K, Prediction of Intrinsic Protein Disorder, Proteins: Structure, Function and Genetics, Special Issue on CASP5, Vol. 53, Suppl 6, pp. 566-72, 2003. (download)
40. Vucetic, S., Brown C., Dunker A.K, Obradovic, Z., Flavors of Protein Disorder, Proteins: Structure, Function and Genetics, Vol. 52, pp. 573-584, 2003. (download) VL2 Prediction Server Web site
41. Vucetic, S., Tomsovic, K., Obradovic, Z., Discovering Price-Load Relationships in California’s Electricity Market, IEEE Transactions on Power Systems, Vol. 16, No. 2, pp. 280-286, 2001. (download)
42. Vucetic, S., Fiez, T., Obradovic, Z., Examination of the Influence of Data Aggregation and Sampling Density on Spatial Estimation, Water Resources Research, Vol. 36, No. 12, pp. 3721-3731, 2000. (download)
43. Sondur, S, Kant, K, Vucetic, S., Storage on the Edge: Evaluating Cloud Backed Edge Storage in Cyberphysical Systems, 16th International Conference on Mobile Ad-hoc and Smart Systems (MASS), Monterey, CA, 2019.
44. Zhang, S., He, L., Dragut, E., Vucetic, S., How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction, 25th ACM SIGKDD International Conf. on Knowledge Discovery and Data Mining (KDD), Anchorage, AK, 2019. (download)
45. Maiti, A., Vucetic, S., Spatial Aggregation Facilitates Discovery of Spatial Topics, 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 2019. (download)
46. Bai, T., Egleston, B.L., Bleicher, R., Vucetic, S., Medical Concept Representation Learning from Multi-Source Data, 28th International Joint Conf. on Artificial Intelligence (IJCAI), Macao, China, 2019. (download)
47. Bai, T., Vucetic, S., Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources, The World Wide Web Conference (WWW), 72-82, San Francisco, CA, 2019. (download)
48. Zhang, S., Pal, A., Kant, K., Vucetic, S., Enhancing Disaster Situational Awareness via Automated Summary Dissemination of Social Media Content, 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UEA, 2018. (download)
49. Zhang, S., He, L., Vucetic, S., Dragut, E., Regular Expression Guided Entity Mention Mining from Noisy Web Data, Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, 2018. (download)
50. Bai, T., Zhang, S., Egleston, B.L., Vucetic, S., Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time, 24th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), London, UK, 2018. (download)
51. Bai, T., Chanda, A.K., Egleston, B.L., Vucetic, S., Joint Learning of Representations of Medical Concepts and Words from EHR Data, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 2017. (download)
52. Zhang, S., Vucetic, S., Semi-supervised Discovery of Informative Tweets During the Emerging Disasters, In Workshop Social Web for Disaster Management, Indianapolis, USA, Oct. 2016. (download)
53. Zhang, S., Vucetic, S., Sampling Bias in LinkedIn: A Case Study, 25th International World Wide Web Conference (WWW), Montreal, Canada, 2016. (download)
54. Han, C., Zhang, S., Ghalwash, M., Vucetic, S, Obradovic, Z., Joint Learning of Representation and Structure for Sparse Regression on Graphs, 16th SIAM Conference on Data Mining (SDM), Miami, FL, 2016. (download)
55. Djuric, N., Grbovic, M., Vucetic, S., ParkAssistant: An Algorithm for Guiding a Car to a Parking Spot, Transportation Research Board 95th Annual Meeting (TRB), Washington, D.C., USA, 2016. (download)
56. Radosavljevic, V., Vucetic, S., Obradovic, Z., Neural Gaussian Conditional Random Fields, Machine Learning and Knowledge Discovery in Databases (ECML), Nancy, France, 2014. (download)
57. Lan, L., Malbasa, V., Vucetic, S., Spatial Scan for Disease Mapping on a Mobile Population, 28th AAAI Conference on Artificial Intelligence (AAAI), Quebec City, Canada, 2014. (download)
58. Djuric, N., Grbovic, M., Radosavljevic, V., Bhamidipati, N., Vucetic, S., Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests, 28th AAAI Conference on Artificial Intelligence (AAAI), Quebec City, Canada, 2014. (download)
59. Coric, V., Djuric, N., Vucetic, S., Frugal Traffic Monitoring with Autonomous Participatory Sensing, 14th SIAM Conference on Data Mining (SDM), Philadelphia, PA, 2014. (download)
60. Grbovic M., Vucetic S., Generating Ad Targeting Rules using Sparse Principal Component Analysis with Constraints, 23rd International World Wide Web Conference (WWW), 2014. (download)
61. Djuric, N., Grbovic, M., Vucetic, S., Distributed Confidence-Weighted Classification on MapReduce, 2013 IEEE International Conference on Big Data, Silicon Valley, CA, USA, 2013. (download)
62. Djuric, N., Vucetic, S., Efficient Visualization of Large-scale Data Tables through Reordering and Entropy Minimization, IEEE International Conference on Data Mining (ICDM), Dallas, TX, 2013. (download)
63. Djuric, N., Kansakar, L., Vucetic, S., Semi-Supervised Learning for Integration of Aerosol Predictions from Multiple Satellite Instruments, 23rd International Joint Conference on Artificial Intelligence (IJCAI),, Beijing, China, 2013. (download)
64. Grbovic, M., Djuric, N., Vucetic, S., Multi-prototype Label Ranking with Novel Pairwise to Total Rank Aggregation, 23rd International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013. (download)
65. Ristovski, K., Radosavljevic, V., Vucetic, S., Obradovic, Z., Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs, 27th AAAI Conference on Artificial Intelligence (AAAI), Bellevue, WA, 2013. (download)
66. Grbovic M., Dance. C., Vucetic S., Sparse Principal Component Analysis with Constraints, 26th AAAI Conference on Artificial Intelligence (AAAI), Toronto, CA, 2012. (download)
67. Djuric. N., Grbovic M., Vucetic S., Convex Kernelized Sorting, 26th AAAI Conference on Artificial Intelligence (AAAI), Toronto, CA, 2012. (download)
68. Grbovic, M., Djuric N., Vucetic S., Supervised Clustering of Label Ranking Data, SIAM Conf. on Data Mining (SDM), Anaheim, CA, 2012. (download)
69. Quan, H., Milicic, A., Vucetic, S., Wu, J., A Connectivity-Based Popularity Prediction Approach for Social Networks, IEEE International Conference on Communications (ICC), Ottawa, CA, 2012. (download)
70. Coric, V., Wang, Z., Vucetic, S., Traffic Speed Forecasting by Mixture of Experts, IEEE Conference on Intelligent Transportation Systems (ITSC), Washington, D.C., 2011. (download)
71. Grbovic, M., Vucetic, S., Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss, European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Athens, Greece, 2011. (download)
72. Wang, Z., Djuric, N., Crammer, K. Vucetic, S., Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification, 17th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), San Diego, CA, 2011. (download)
73. Malbasa, V., Vucetic., S., Spatially Regularized Logistic Regression for Disease Mapping on Large Moving Population, 17th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), San Diego, CA, 2011. (download)
74. Grbovic, M., Vucetic, S., Li, W., Xu, P., Usadi, A.K., A Boosting Method for Process Fault Detection with Detection Delay Reduction and Label Denoising, KDD4Service: Data Mining for Service and Maintenance Workshop, at the 17th ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD), San Diego, CA, 2011. (download)
75. Lan, L., Djuric, N., Guo, Y., Vucetic, S., Protein Function Prediction by Integrating Different Data Sources, Automated Function Prediction SIG 2011 featuring the CAFA Challenge: Critical Assessment of Function Annotations (AFP/CAFA 2011), Vienna, Austria, 2011. (download)
76. Lan, L., Shi, H., Wang, Z., Vucetic, S., An Active Learning Algorithm Based on Parzen Window Classification, JMLR W&C Proc. Workshop on Active Learning and Experimental Design (2010 AISTATS Active Learning Challenge), 2010. (download)
77. Djuric, N., Vucetic, S., Random Kernel Perceptron on ATTiny2313 Microcontroller, 4th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD), at the 16th ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD), Washington, D.C., 2010. (download)
78. Wang, Z., Crammer, K., Vucetic, S., Multi-Class Pegasos on a Budget, 27th Int. Conf. on Machine Learning (ICML), Haifa, Israel, 2010. (download)
79. Radosavljevic, V., Vucetic., S., Obradovic, Z., Continuous Conditional Random Fields for Regression in Remote Sensing, European Conference on Artificial Intelligence (ECAI), Lisbon, Portugal, 2010. (download)
80. Wang, Z., Vucetic, S., Online Passive-Aggressive Algorithms on a Budget, JMLR W&C Proc. Int. Conf. on Artificial Intelligence and Statistics (AISTATS), Sardinia, Italy, 2010. (download)
81. Wang, Z., Vucetic, S., Fast Online Training of Ramp Loss Support Vector Machines, IEEE Int’l Conf. on Data Mining (ICDM), Miami, FL, 2009. (download)
82. Grbovic, M., Vucetic, S., Regression Learning Vector Quantization, IEEE Int’l Conf. on Data Mining (ICDM), Miami, FL, 2009. (download)
83. Das, D., Obradovic, Z., Vucetic, S., Active Selection of Sensor Sites in Remote Sensing Applications, IEEE Int’l Conf. on Data Mining (ICDM), Miami, FL, 2009. (download)
84. Lan, L., Vucetic, S., A Multi-Task Feature Selection Filter for Microarray Classification, IEEE Int’l Conf. on Bioinformatics and Biomedicine (BIBM), Washington, D.C., 2009. (download)
85. Radosavljevic, V., Vucetic, S., Obradovic, Z., Reduction of Ground-Based Sensor Sites for Spatio-Temporal Analysis of Aerosols, 3rd International Workshop on Knowledge Discovery from Sensor Data (SensorKDD), at the 15th ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD), Paris, France, 2009. (download)
86. Wang, Z., Vucetic, S., Tighter Perceptron with Improved Dual Use of Cached Data for Model Representation and Validation, Int'l Joint Conf. on Neural Networks (IJCNN), Atlanta, GA, 2009. (download)
87. Grbovic, M., Vucetic, S., Learning Vector Quantization with Adaptive Prototype Addition and Removal, Int'l Joint Conf. on Neural Networks (IJCNN), Atlanta, GA, 2009. (download)
88. Wang, Z., Vucetic, S., Twin Vector Machines for Online Learning on a Budget, SIAM Conf. on Data Mining (SDM), Sparks, NV, 2009. (download)
89. Vucetic, S., Coric, V., Wang, Z., Compressed Kernel Perceptrons, Data Compression Conference (DCC), Snowbird, UT, 2009. (download)
90. Grbovic, M., Vucetic, S., Decentralized Estimation Using Learning Vector Quantization, Data Compression Conference (DCC), Snowbird, UT, 2009. (download)
91. Das, D., Radosavljevic, V., Vucetic, S., Obradovic, Z. Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Boston, MA, 2008. (download)
92. Wang, Z., Radosavljevic, V., Han, B., Obradovic, Z., Vucetic, S., Aerosol Optical Depth Prediction from Satellite Observations by Multiple Instance Regression, SIAM Conf. on Data Mining (SDM), Atlanta, GA, 2008. (download)
93. Radosavljevic, V., Vucetic, S., Obradovic, Z., Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy, SIAM Conf. on Data Mining (SDM), Atlanta, GA, 2008. (download)
94. Radosavljevic, V., Vucetic, S., Obradovic, Z., Aerosol Optical Depth Retrieval by Neural Networks Ensemble with Adaptive Cost Function, 10th Int'l Conf. on Engineering Applications of Neural Networks (EANN), Thessaloniki, Greece, 2007. (download)
95. Malbasa, V., Vucetic, S., A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation, Int'l Joint Conf. on Neural Networks (IJCNN), Orlando, FL, 2007. (download)
96. Vucetic, S,. Sun, H., Aggregation of Location Attributes for Prediction of Infection Risk, Workshop on Spatial Data Mining: Consolidation and Renewed Bearing, at the 2006 SIAM Conf. on Data Mining (SDM), Bethesda, MD, 2006. (download)
97. Han,B., Obradovic, Z., Li, Z., Vucetic, S., Data Mining Support for Improvement of MODIS Aerosol Retrievals, IEEE International Geoscience and Remote Sensing Symposium 2006 (IGARSS), Denver, CO, 2006.
98. Vucetic, S., A Fast Algorithm for Lossless Compression of Data Tables by Reordering, Data Compression Conference (DCC), Snowbird, UT, 2006. (download)
99. Han, B., Vucetic, S., Braverman, A., Obradovic, Z., Construction of an Accurate Geospatial Predictor by Fusion of Global and Local Models, 8th Int’l Conf. on Information Fusion, Philadelphia, PA, 2005. (download)
100. Xu, Q., Han, B., Li, Y., Braverman, A., Obradovic, Z., Vucetic, S., Improving Aerosol Retrieval Performance by Integrating AERONET, MISR, and MODIS Data Products, 8th Int’l Conf. on Information Fusion, Philadelphia, PA, 2005. (download)
101. Han, B., Vucetic, S., Braverman, A., Obradovic, Z., Integration of Deterministic and Statistical Algorithms for Aerosol Retrieval, 9th Int'l Conf. on Engineering Applications of Neural Networks (EANN), Lille, France, 2005. (download)
102. Vucetic , S., Accuracy-Optimized Quantization for High-Dimensional Data Fusion, Data Compression Conference (DCC), Snowbird, Utah, 2005. (download)
103. Peng, K., Vucetic, S., Obradovic, Z., Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets, 2005 SIAM Conf. on Data Mining (SDM), Newport Beach, CA, 2005. (download)
104. Peng, K., Obradovic, Z., Vucetic, S., Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets, 16th European Conference on Artificial Intelligence (ECAI), Valencia, Spain, pp. 623-627, 2004. (download)
105. Radivojac, P., Obradovic, Z., Dunker, AK, Vucetic, S., Characterization of Permutation Tests for Feature Selection, 15th European Conference on Machine Learning (ECML), Pisa, Italy, 2004. (download)
106. Peng, K., Obradovic, Z., Vucetic, S., Exploring Bias in the Protein Data Bank Using Contrast Classifiers, Pacific Symposium on Biocomputing (PSB), Hawaii, pp. 435-446, 2004. (download)
107. Peng, K., Vucetic, S., Han, B., Xie, X., Obradovic, Z., Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining, 3rd IEEE Int'l Conf. on Data Mining (ICDM), Melbourne, FL, pp. 267-274, 2003. (download)
108. Han, B., Vucetic, S., Obradovic, Z., Reranking Medline Citations By Relevance to a Difficult Biological Query, IASTED Int'l Conf. Neural Networks and Computational Intelligence, Cancun, Mexico, 2003. (download)
109. Vucetic, S., Pokrajac, D., Xie H., Obradovic, Z., Detection of Underrepresented Biological Sequences Using Class-Conditional Distribution Models, 2003 SIAM Conf. on Data Mining (SDM), San Francisco, CA, pp. 179-283, 2003. (download)
110. Dunker, A.K., Brown. C.J, Lawson, J.D., Iakoucheva-Sebat, L.M., Vucetic, S. and Obradovic, Z., The Protein Trinity: Structure/Function Relationships that Include Intrinsic Disorder, Proc. 2002 Miami Nature Biotechnology Winter Symp., Scientific World Journal, 2(S2), 49-50, 2002. (download)
111. Vucetic, S., Obradovic, Z., Classification on Data with Biased Class Distribution, 12th European Conference on Machine Learning (ECML), Freiburg, Germany, pp. 527-538, 2001. (download)
112. Vucetic, S., Radivojac, P., Dunker, K., Brown, C., Obradovic, Z., Methods for Improving Protein Disorder Prediction, Int'l Joint Conf. on Neural Networks (IJCNN), Washington D.C. 2001. (download)
113. Vucetic, S., Obradovic, Z., A Regression-Based Approach for Scaling-Up Personalized Recommender Systems in E-Commerce, Workshop on Web Mining for E-Commerce, at the 6th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining (KDD), Boston, MA, 2000. (download)
114. Vucetic, S., Obradovic, Z., Discovering Homogeneous Regions in Spatial Data through Competition, 17th Int'l. Conf. on Machine Learning (ICML) , pp. 1091-1098, Stanford, CA, 2000. (download)
115. Vucetic, S., Obradovic, Z., Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases, Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), Computer Science Editorial 3, Springer-Verlag, pp. 29-39, Kyoto, Japan, 2000. (download)
116. Vucetic, S., Obradovic, Z., A Constructive Competitive Regression Method for Analysis and Modeling of Non-stationary Time Series, 1st Int'l Workshop on Computational Intelligence in Economics and Finance, at the 5th Joint Int’l Conf. on Information Science, vol. 2, pp. 978-981, Atlantic City, NJ, 2000. (download)
117. Vucetic, S., Fiez, T., Obradovic, Z. A Data Partitioning Scheme for Spatial Regression, IEEE/INNS Int'l Conf. on Neural Neural Networks (IJCNN), Washington D.C., 1999. (download)
118. Pokrajac, D., Lazarevic, A., Vucetic, S., Fiez T., Obradovic Z., Image Processing in Precision Agriculture, IEEE Int'l Conf. on Telecommunications in Modern Satellite, Cable and Broadcasting Services, vol. 2, pp. 616-619, Nis, Yugoslavia, 1999.
119. Vucetic, S., Senk, V., On the Branching Process Analysis of the Average Number of Computations of the Stack Algorithm, XLI Yugoslav Conf. on ETRAN, Zlatibor, June 1997.
120. Radivojac, P., Vucetic, S., An Improved Trellis Code Search Procedure for Speech Compression, XLI Yugoslav Conf. on ETRAN, Zlatibor, June 1997.
121. Djuric, N., Grbovic, M., Vucetic, S., Distributed Confidence-Weighted Classification on Big Data Platforms, In V. Govindaraju, V. Raghavan, C. R. Rao (Editors), "Handbook of Statistics: Big Data Analytics", vol. 33, Elsevier, 2015.
122. Xie, H., Obradovic, Z., Vucetic, S., Mining of Microarray, Proteomics, and Clinical Data for Improved Identification of Chronic Fatigue Syndrome, Chapter 9 in McConnell, P, Lim, S., and A.J. Cuticchia, Methods of Micorarray Data Analysis VI. (Scotts Valley, California: CreateSpace Publishing, 2009), pp. 119-127.
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