| 2026 | AAAI | Real-Time Path Planning for UAVs in Windy Environments Without Computational Fluid Dynamics. | Abhudaya Shrivastava, Shelly Gupta, Zoran Obradovic |
| 2025 | AIAI | Disaster Data-Driven Forecasting for Preemptive Crisis Response. | Zafeer Lambe, Jumanah S. Alshehri, Zoran Obradovic |
| 2025 | AIAI | PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning. | Christos Petridis, Abhudaya Shrivastava, Marijana Vacic, Zoran Obradovic |
| 2025 | AIAI | Summarizing Online Discussions with Prototype Relation Networks Using Large Language Models. | William Power, Shelly Gupta, Zoran Obradovic |
| 2025 | EANN | Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis. | Shelly Gupta, Hussain Otudi, Ameen Abdel Hai, Rafaa Aljurbua, Jovan Andjelkovic, Abdulrahman Alharbi, Zoran Obradovic |
| 2025 | EANN | Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids. | Rafaa Aljurbua, Rashid Baembitov, Christos Petridis, Daniel Saranovic, Mladen Kezunovic, Zoran Obradovic |
| 2025 | EANN | Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis. | Hussain Otudi, Shelly Gupta, Ameen Abdel Hai, Rafaa Aljurbua, Abdulrahman Alharbi, Zoran Obradovic |
| 2025 | EANN | Autonomous Navigation in Swarm of UAVs Using Spatio Temporal Data and Constrained-Reinforcement Learning. | Abhudaya Shrivastava, Christos Petridis, Marijana Vacic, Zoran Obradovic |
| 2025 | ICMLA | Decoding Social Media Sentiment Before Events Occur Through Sentence-Level Embeddings and Graph Learning. | Jovan Andjelkovic, Shelly Gupta, Abdulrahman Alharbi, Zoran Obradovic |
| 2025 | ICMLA | Physics-Informed Neural Networks for Soil Moisture Modeling and Landslide Assessment. | Shelly Gupta, Jovan Andjelkovic, Abhudaya Shrivastava, Atsuhiro Muto, Zoran Obradovic |
| 2024 | EANN | Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. | Hussain Otudi, Shelly Gupta, Zoran Obradovic |
| 2023 | AIME | Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. | Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin |
| 2022 | AMIA | Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes. | Ameen Abdel Hai, Mark G. Weiner, Anuradha Paranjape, Alice Livshits, Jeremiah R. Brown, Zoran Obradovic, Daniel J. Rubin |
| 2022 | COMPLEXIS | Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. | Zoran Obradovic |
| 2022 | DASFAA | Supervised Multi-view Latent Space Learning by Jointly Preserving Similarities Across Views and Samples. | Xiaoyang Li, Martin Pavlovski, Fang Zhou, Qiwen Dong, Weining Qian, Zoran Obradovic |
| 2022 | ICMLA | On Label Quality in Class Imbalance Setting -A Case Study. | Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic |
| 2022 | ICMLA | Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. | Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic |
| 2022 | ICMLA | Software package for regression algorithms based on Gaussian Conditional Random Fields. | Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic |
| 2022 | ICMLA | Predicting anxiety treatment outcomes with machine learning. | Marija Stanojevic, Lesley A. Norris, Philip C. Kendall, Zoran Obradovic |
| 2022 | SDM | Leveraging Dependencies among Learned Temporal Subsequences. | Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic |
| 2021 | ECIR | Stay on Topic, Please: Aligning User Comments to the Content of a News Article. | Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic |
| 2020 | KDD | Time-Aware User Embeddings as a Service. | Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic |
| 2019 | SIGIR | Biased News Data Influence on Classifying Social Media Posts. | Marija Stanojevic, Jumanah Alshehri, Eduard C. Dragut, Zoran Obradovic |
| 2019 | SDM | Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. | Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic |
| 2019 | SDM | Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification. | Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic |
| 2018 | IJCAI | Generalization-Aware Structured Regression towards Balancing Bias and Variance. | Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic |
| 2018 | SIGIR | Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. | Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic |
| 2018 | WACV | A Simple yet Effective Model for Zero-Shot Learning. | Xi Hang Cao, Zoran Obradovic, Kyungnam Kim |
| 2018 | SDM | Deep Attention Model for Triage of Emergency Department Patients. | Djordje Gligorijevic, Jelena Stojanovic, Wayne Satz, Ivan Stojkovic, Kraftin Schreyer, Daniel Del Portal, Zoran Obradovic |
| 2017 | AAAI | Continuous Conditional Dependency Network for Structured Regression. | Chao Han, Mohamed F. Ghalwash, Zoran Obradovic |
| 2017 | CBMS | Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach. | Nouf Albarakati, Zoran Obradovic |
| 2017 | CBMS | Predicting Sepsis Biomarker Progression under Therapy. | Ivan Stojkovic, Zoran Obradovic |
| 2017 | IJCAI | Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization. | Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic |
| 2016 | AAAI | Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. | Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic |
| 2016 | AAAI | Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks. | Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic |
| 2016 | CIKM | Modeling Customer Engagement from Partial Observations. | Jelena Stojanovic, Djordje Gligorijevic, Zoran Obradovic |
| 2016 | ECAI | Shape Invariant Formulation for Change Point Models in Multiple Dimensions. | Jesse Glass, Zoran Obradovic |
| 2016 | IJCAI | Distance Based Modeling of Interactions in Structured Regression. | Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic |
| 2016 | SDM | Joint Learning of Representation and Structure for Sparse Regression on Graphs. | Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic |
| 2016 | SDM | Structured Regression on Multilayer Networks. | Athanasia Polychronopoulou, Zoran Obradovic |
| 2015 | AIME | Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. | Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic |
| 2015 | AMIA | Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses. | Dusan Ramljak, Adam Davey, Alexey Uversky, Shoumik Roychoudhury, Zoran Obradovic |
| 2015 | BIBE | A robust data scaling algorithm for gene expression classification. | Xi Hang Cao, Zoran Obradovic |
| 2015 | BIBE | False alarm suppression in early prediction of cardiac arrhythmia. | Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic |
| 2015 | SDM | Semi-supervised learning for structured regression on partially observed attributed graphs. | Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic |
| 2014 | AMIA | Readmission Classification Using Stacked Regularized Logistic Regression Models. | Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic |
| 2014 | DIS | Predicting Sepsis Severity from Limited Temporal Observations. | Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic |
| 2014 | KDD | Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. | Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic |
| 2013 | AAAI | Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. | Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2013 | ICDM | Extraction of Interpretable Multivariate Patterns for Early Diagnostics. | Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic |
| 2012 | AAAI | Margin-Based Feature Selection in Incomplete Data. | Qiang Lou, Zoran Obradovic |
| 2012 | CIBCB | 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. | Qiang Lou, Henry P. Parkman, Michael R. Jacobs, Evgeny Krynetskiy, Zoran Obradovic |
| 2012 | CIBCB | A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. | Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic |
| 2012 | ECAI | Mining Extremes: Severe Rainfall and Climate Change. | Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly |
| 2012 | ICDE | Towards a DGSS Prototype for Early Warning for Ski Injuries. | Boris Delibasic, Zoran Obradovic |
| 2012 | ICDM | Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates. | Qiang Lou, Zoran Obradovic |
| 2012 | ICMLA | Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data. | George Mathew, Zoran Obradovic |
| 2012 | ICMLA | Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. | Jelena Slivka, Ping Zhang, Aleksandar Kovacevic, Zora Konjovic, Zoran Obradovic |
| 2012 | IGARSS | Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. | Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic |
| 2012 | SC | Understanding Cloud Data Using Approximate String Matching and Edit Distance. | Joseph Jupin, Justin Y. Shi, Zoran Obradovic |
| 2011 | ICDM | Imputation of Missing Links and Attributes in Longitudinal Social Surveys. | Vladimir Ouzienko, Zoran Obradovic |
| 2011 | IJCAI | Modeling Multivariate Spatio-Temporal Remote Sensing Data with Large Gaps. | Qiang Lou, Zoran Obradovic |
| 2010 | ECAI | Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space. | Qiang Lou, Zoran Obradovic |
| 2010 | ECAI | Prediction of Attributes and Links in Temporal Social Networks. | Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic |
| 2010 | ECAI | Continuous Conditional Random Fields for Regression in Remote Sensing. | Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2010 | ECAI | Regression Learning with Multiple Noisy Oracles. | Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic |
| 2010 | IC3K | Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. | Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic |
| 2009 | DaWaK | Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data. | Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Zoran Obradovic |
| 2009 | ICDM | Active Selection of Sensor Sites in Remote Sensing Applications. | Debasish Das, Zoran Obradovic, Slobodan Vucetic |
| 2009 | KDD | Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet. | Uros Midic, A. Keith Dunker, Zoran Obradovic |
| 2009 | KDD | Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. | Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2008 | IGARSS | Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation. | Debasish Das, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2008 | SDM | Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. | Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2008 | SDM | Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression. | Zhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic |
| 2007 | BIBE | Intrinsically Disordered Proteins: Predictions and Applications. | A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky |
| 2007 | BIBE | Intrinsically Disordered Proteins: An Update. | A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky |
| 2006 | ECAI | Efficient Learning from Massive Spatial-Temporal Data Through Selective Support Vector Propagation. | Yilian Qin, Zoran Obradovic |
| 2006 | IGARSS | Data Mining Support for the Improvement of MODIS Aerosol Retrievals. | Bo Han, Zoran Obradovic, Zhanquing Li, Slobodan Vucetic |
| 2005 | CIBCB | Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments. | Uros Midic, A. Keith Dunker, Zoran Obradovic |
| 2005 | SDM | Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. | Kang Peng, Slobodan Vucetic, Zoran Obradovic |
| 2004 | ECAI | Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. | Kang Peng, Zoran Obradovic, Slobodan Vucetic |
| 2004 | IJCNN | Localized neural network based distributional learning for knowledge discovery in protein databases. | Dragoljub Pokrajac, Aleksandar Lazarevic, Teresa Singleton, Zoran Obradovic |
| 2004 | MICCAI | Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. | Despina Kontos, Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic, Orest B. Boyko, James Ford, Fillia Makedon, Andrew J. Saykin |
| 2004 | PSB | Exploring Bias in the Protein Data Bank Using Contrast Classifiers. | Kang Peng, Zoran Obradovic, Slobodan Vucetic |
| 2003 | ICDM | Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. | Kang Peng, Slobodan Vucetic, Bo Han, Hongbo M. Xie, Zoran Obradovic |
| 2003 | PSB | Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions. | Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker |
| 2003 | SDM | Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. | Slobodan Vucetic, Dragoljub Pokrajac, Hongbo M. Xie, Zoran Obradovic |
| 2002 | PSB | Improving Sequence Alignments For Intrinsically Disordered Proteins. | Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker |
| 2002 | VDA | Effective classification of 3D image data using partitioning methods. | Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic |
| 2001 | KDD | The distributed boosting algorithm. | Aleksandar Lazarevic, Zoran Obradovic |
| 2001 | PSB | The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder. | R. M. Williams, Zoran Obradovic, V. Mathura, W. Braun, E. C. Garner, J. Young, S. Takayama, Celeste J. Brown, A. Keith Dunker |
| 2001 | SDM | Boosting Localized Classifiers in Heterogeneous Databases. | Aleksandar Lazarevic, Zoran Obradovic |
| 2001 | SDM | Improved Spatial-Temporal Forecasting through Modelling of Spatial Residuals in Recent History. | Dragoljub Pokrajac, Zoran Obradovic |
| 2000 | ESANN | Distributed clustering and local regression for knowledge discovery in multiple spatial databases. | Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic |
| 2000 | ICML | Discovering Homogeneous Regions in Spatial Data through Competition. | Slobodan Vucetic, Zoran Obradovic |
| 2000 | IJCNN | Learning Heterogeneous Functions from Sparse and Non-Uniform Sample. | Dragoljub Pokrajac, Zoran Obradovic |
| 2000 | KDD | Distributed and parallel knowledge discovery (workshop session - title only). | Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic |
| 2000 | PAKDD | Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. | Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic |
| 2000 | PAKDD | Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. | Slobodan Vucetic, Zoran Obradovic |
| 1999 | IJCNN | Clustering-regression-ordering steps for knowledge discovery in spatial databases. | Aleksandar Lazarevic, Xiaowei Xu, Tim Fiez, Zoran Obradovic |
| 1999 | IJCNN | Efficient probability density balancing for supporting distributed knowledge discovery in large databases. | Dragan Obradovic, Zoran Obradovic |
| 1999 | IJCNN | Distribution comparison for site-specific regression modeling in agriculture. | Dragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoran Obradovic |
| 1999 | IJCNN | A data partitioning scheme for spatial regression. | Slobodan Vucetic, Tim Fiez, Zoran Obradovic |
| 1994 | ICEC | Evolutionary Design of Application Tailored Neural Networks. | Zoran Obradovic, Rangarajan Srikumar |
| 1993 | HPDC | Parallel and Distributed Systems for Constructive Neural Network Learning. | Justin Fletcher, Zoran Obradovic |
| 1990 | ICML | Learning with Discrete Multi-Valued Neurons. | Zoran Obradovic, Ian Parberry |