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Note: Links lead to the DBLP on the Web. Zoran Obradovic 22 Aleksandar Lazarevic , Zoran Obradovic: Boosting Algorithms for Parallel and Distributed Learning. Distributed and Parallel Databases 11 (2): 203-229 (2002) 21 Slobodan Vucetic , Zoran Obradovic: Classification on Data with Biased Class Distribution. ECML 2001 : 527-538 20 Aleksandar Lazarevic , Zoran Obradovic: The distributed boosting algorithm. KDD 2001 : 311-316 19 Aleksandar Lazarevic , Zoran Obradovic: Data Reduction Using Multiple Models Integration. PKDD 2001 : 301-313 18 Dragoljub Pokrajac , Zoran Obradovic, Tim Fiez : A tool for controlled knowledge discovery in spatial domains. ESM 2000 : 26-32 17 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 16 Aleksandar Lazarevic , Tim Fiez , Zoran Obradovic: A Software System for Spatial Data Analysis and Modeling. HICSS 2000 15 Slobodan Vucetic , Zoran Obradovic: Discovering Homogeneous Regions in Spatial Data through Competition. ICML 2000 : 1095-1102 14 Hillol Kargupta , Philip Chan , Vipin Kumar , Zoran Obradovic: Distributed and parallel knowledge discovery (workshop session - title only). KDD 2000 : 534 13 Slobodan Vucetic , Zoran Obradovic: Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. PAKDD 2000 : 29-39 12 Aleksandar Lazarevic , Tim Fiez , Zoran Obradovic: Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. PAKDD 2000 : 329-340 11 Pedro Romero , Zoran Obradovic, A. Keith Dunker : Intelligent Data Analysis for Protein Disorder Prediction. Artificial Intelligence Review 14 (6): 447-484 (2000) 10 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) 9 Alioune Ngom , Ivan Stojmenovic , Zoran Obradovic: Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms. ISMVL 1998 : 209-214 8 Tim Chenoweth , Zoran Obradovic: A multi-component nonlinear prediction system for the S&P 500 Index. Neurocomputing 10 (3): 275-290 (1996) 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. JCSS 49 (2): 375-390 (1994) 4 J. Fletcher , Zoran Obradovic: Parallel and Distributed Systems for Constructive Neural Network Learning. HPDC 1993 : 174-178 3 Zoran Obradovic, Ian Parberry : Computing with Discrete Multi-Valued Neurons. JCSS 45 (3): 471-492 (1992) 2 Zoran Obradovic, Ian Parberry : Learning with Discrete Multi-Valued Neurons. ML 1990 : 392-399 1 Zoran Obradovic, Ian Parberry : Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. NIPS 1989 : 702-709  DiSC'03 © 2003 Association for Computing Machinery |
