Obradovic, Zoran

25 publications

ECML-PKDD 2022 MultiLayerET: A Unified Representation of Entities and Topics Using Multilayer Graphs Jumanah Alshehri, Marija Stanojevic, Parisa Khan, Benjamin Rapp, Eduard C. Dragut, Zoran Obradovic

WACV 2018 A Simple yet Effective Model for Zero-Shot Learning Xi Hang Cao, Zoran Obradovic, Kyungnam Kim

IJCAI 2018 Generalization-Aware Structured Regression Towards Balancing Bias and Variance Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic

ECML-PKDD 2017 Adaptive Skip-Train Structured Regression for Temporal Networks Martin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic

AAAI 2017 Continuous Conditional Dependency Network for Structured Regression Chao Han, Mohamed F. Ghalwash, Zoran Obradovic

ECML-PKDD 2017 Cost Sensitive Time-Series Classification Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic

IJCAI 2017 Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic

MLJ 2017 Gaussian Conditional Random Fields Extended for Directed Graphs Tijana Vujicic, Jesse Glass, Fang Zhou, Zoran Obradovic

ECML-PKDD 2017 Ranking Based Multitask Learning of Scoring Functions Ivan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic

IJCAI 2016 Distance Based Modeling of Interactions in Structured Regression Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic

AAAI 2016 Extending the Modelling Capacity of Gaussian Conditional Random Fields While Learning Faster Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic

AAAI 2016 Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic

MLJ 2014 Imputation of Missing Links and Attributes in Longitudinal Social Surveys Vladimir Ouzienko, Zoran Obradovic

ECML-PKDD 2014 Neural Gaussian Conditional Random Fields Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic

ECML-PKDD 2013 Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources Ping Zhang, Pankaj Agarwal, Zoran Obradovic

AAAI 2013 Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic

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

ECML-PKDD 2011 Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion Ping Zhang, Zoran Obradovic

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

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

ECML-PKDD 2001 Classification on Data with Biased Class Distribution Slobodan Vucetic, Zoran Obradovic

ICML 2000 Discovering Homogeneous Regions in Spatial Data Through Competition Slobodan Vucetic, Zoran Obradovic

ICML 1990 Learning with Discrete Multi-Valued Neurons Zoran Obradovic, Ian Parberry

NeCo 1990 Small Depth Polynomial Size Neural Networks Zoran Obradovic, Peiyuan Yan

NeurIPS 1989 Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions Zoran Obradovic, Ian Parberry