Zoran Obradovic

291 papers A* 20A 25B 21C 19Misc 8Journal 104Unranked 93

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Granular Spatio-Temporal Grid-based Machine Learning for Forced Outage Prediction in Electrical Networks. HICSS Daniel Saranovic, Zoran Obradovic, Rashid Baembitov, Mladen Kezunovic
2026	J	`jnl`	Location Aware Embedding for Geotargeting in Sponsored Search Advertising. CoRR Jelena Gligorijevic, Djordje Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic
2026	A*	`conf`	Real-Time Path Planning for UAVs in Windy Environments Without Computational Fluid Dynamics. AAAI Abhudaya Shrivastava, Shelly Gupta, Zoran Obradovic
2025	—	`conf`	Autonomous Navigation in Swarm of UAVs Using Spatio Temporal Data and Constrained-Reinforcement Learning. EANN (2) Abhudaya Shrivastava, Christos Petridis, Marijana Vacic, Zoran Obradovic
2025	J	`jnl`	Cross-platform spatiotemporal sentiment trends analysis of COVID-19 vaccine discourse. Soc. Netw. Anal. Min. Abdulrahman Alharbi, Rafaa Aljurbua, Shelly Gupta, Hussain Otudi, Jovan Andjelkovic, Zoran Obradovic
2025	C	`conf`	Decoding Social Media Sentiment Before Events Occur Through Sentence-Level Embeddings and Graph Learning. ICMLA Jovan Andjelkovic, Shelly Gupta, Abdulrahman Alharbi, Zoran Obradovic
2025	—	`conf`	Disaster Data-Driven Forecasting for Preemptive Crisis Response. AIAI (2) Zafeer Lambe, Jumanah S. Alshehri, Zoran Obradovic
2025	—	`conf`	Discovering Linkages Among Multiple Disease Networks by Joint Clustering. ASONAM (1) Nouf Albarakati, Hussain Otudi, Rafaa Aljurbua, Zoran Obradovic
2025	—	`conf`	Effect of Lightning Features on Predicting Outages Related to Thunderstorms in Distribution Grids. HICSS Mladen Kezunovic, Rashid Baembitov, Daniel Saranovic, Abinash Karmacharya, Zoran Obradovic
2025	—	`conf`	Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis. EANN (2) Shelly Gupta, Hussain Otudi, Ameen Abdel Hai, Rafaa Aljurbua, Jovan Andjelkovic, Abdulrahman Alharbi, Zoran Obradovic
2025	C	`conf`	Physics-Informed Neural Networks for Soil Moisture Modeling and Landslide Assessment. ICMLA Shelly Gupta, Jovan Andjelkovic, Abhudaya Shrivastava, Atsuhiro Muto, Zoran Obradovic
2025	—	`conf`	PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning. AIAI (3) Christos Petridis, Abhudaya Shrivastava, Marijana Vacic, Zoran Obradovic
2025	—	`conf`	Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids. EANN (2) Rafaa Aljurbua, Rashid Baembitov, Christos Petridis, Daniel Saranovic, Mladen Kezunovic, Zoran Obradovic
2025	—	`conf`	Summarizing Online Discussions with Prototype Relation Networks Using Large Language Models. AIAI (4) William Power, Shelly Gupta, Zoran Obradovic
2025	—	`conf`	Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis. EANN (1) Hussain Otudi, Shelly Gupta, Ameen Abdel Hai, Rafaa Aljurbua, Abdulrahman Alharbi, Zoran Obradovic
2024	—	`conf`	AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT. AIAI (2) Abdulrahman Alharbi, Ameen Abdel Hai, Rafaa Aljurbua, Zoran Obradovic
2024	J	`jnl`	Domain generalization for enhanced predictions of hospital readmission on unseen domains among patients with diabetes. Artif. Intell. Medicine Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Wenke Hwang, H. Lester Kirchner, Nestoras Mathioudakis, Esra Karslioglu French, Zoran Obradovic, Daniel J. Rubin
2024	—	`conf`	Exploring Topic-Related User Experiences Through Social Graph. ECIS Shelly Gupta, Ameen Abdel Hai, Abdulrahman Alharbi, Hussain Otudi, Zoran Obradovic
2024	—	`conf`	From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering. AIAI (4) Shelly Gupta, Jumanah Alshehri, Ameen Abdel Hai, Hussain Otudi, Zoran Obradovic
2024	—	`conf`	Generating Profiles of News Commentators with Language Models. AIAI (2) William Power, Zoran Obradovic
2024	C	`conf`	Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. EANN Hussain Otudi, Shelly Gupta, Zoran Obradovic
2024	—	`conf`	Node2VecFuseClassifier: Bridging Perspectives in Modeling Transplantation Attitudes Among Dialysis Patients. ICHI Rafaa Aljurbua, Avrum Gillespie, Jumanah Alshehri, Abdulrahman Alharbi, Nouf Albarakati, Zoran Obradovic
2024	—	`conf`	Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction. HICSS Rashid Baembitov, Mladen Kezunovic, Daniel Saranovic, Zoran Obradovic
2023	J	`jnl`	Aligning Comments to News Articles on a Budget. IEEE Access Jumanah Alshehri, Martin Pavlovski, Eduard C. Dragut, Zoran Obradovic
2023	J	`jnl`	Automated Power System Fault Prediction and Precursor Discovery Using Multi-Modal Data. IEEE Access Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic
2023	B	`conf`	Classifying Severe Weather Events by Utilizing Social Sensor Data and Social Network Analysis. ASONAM Hussain Otudi, Shelly Gupta, Nouf Albarakati, Zoran Obradovic
2023	J	`jnl`	Discovering research articles containing evolutionary timetrees by machine learning. Bioinform. Marija Stanojevic, Jovan Andjelkovic, Adrienne Kasprowicz, Louise A. Huuki, Jennifer Chao, S. Blair Hedges, Sudhir Kumar, Zoran Obradovic
2023	J	`jnl`	Enhancing Weather-Related Outage Prediction and Precursor Discovery Through Attention-Based Multi-Level Modeling. IEEE Access Mohammad Alqudah, Zoran Obradovic
2023	J	`jnl`	Incorporating Wind Modeling Into Electric Grid Outage Risk Prediction and Mitigation Solution. IEEE Access Rashid Baembitov, Mladen Kezunovic, Keith A. Brewster, Zoran Obradovic
2023	J	`jnl`	Quantum-inspired measures of network distinguishability. Soc. Netw. Anal. Min. Athanasia Polychronopoulou, Jumanah Alshehri, Zoran Obradovic
2023	J	`jnl`	Social Media Sensors for Weather-Caused Outage Prediction Based on Spatio-Temporal Multiplex Network Representation. IEEE Access Rafaa Aljurbua, Jumanah Alshehri, Abdulrahman Alharbi, William Power, Zoran Obradovic
2023	B	`conf`	Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. AIME Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin
2023	—	`conf`	Training Machine Learning Models with Simulated Data for Improved Line Fault Events Classification From 3-Phase PMU Field Recordings. HICSS Hussain Otudi, Taif Mohamed, Mladen Kezunovic, Yi Hu, Zoran Obradovic
2023	B	`conf`	Understanding Online Attitudes with Pre-Trained Language Models. ASONAM William Power, Zoran Obradovic
2022	J	`jnl`	Another estimation of Laplacian spectrum of the Kronecker product of graphs. Inf. Sci. Milan Basic, Branko Arsic, Zoran Obradovic
2022	—	`conf`	Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis. ISGT-Europe Taif Mohamed, Mladen Kezunovic, Zoran Obradovic, Yi Hu, Zheyuan Cheng
2022	Misc	`conf`	Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes. AMIA Ameen Abdel Hai, Mark G. Weiner, Anuradha Paranjape, Alice Livshits, Jeremiah R. Brown, Zoran Obradovic, Daniel J. Rubin
2022	J	`jnl`	Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification. Data Min. Knowl. Discov. Fang Zhou, Suting Gao, Lyu Ni, Martin Pavlovski, Qiwen Dong, Zoran Obradovic, Weining Qian
2022	C	`conf`	Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. COMPLEXIS Zoran Obradovic
2022	C	`conf`	Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. IoTBDS Zoran Obradovic
2022	A	`conf`	Leveraging Dependencies among Learned Temporal Subsequences. SDM Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic
2022	—	`conf`	Line Faults Classification Using Machine Learning on Three Phase Voltages Extracted from Large Dataset of PMU Measurements. HICSS Hussain Otudi, Tatjana Dokic, Taif Mohamed, Mladen Kezunovic, Yi Hu, Zoran Obradovic
2022	—	`conf`	MultiLayerET: A Unified Representation of Entities and Topics Using Multilayer Graphs. ECML/PKDD (2) Jumanah Alshehri, Marija Stanojevic, Parisa Khan, Benjamin Rapp, Eduard C. Dragut, Zoran Obradovic
2022	C	`conf`	On Label Quality in Class Imbalance Setting -A Case Study. ICMLA Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic
2022	C	`conf`	Predicting anxiety treatment outcomes with machine learning. ICMLA Marija Stanojevic, Lesley A. Norris, Philip C. Kendall, Zoran Obradovic
2022	J	`jnl`	Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast. CoRR Mohammad Alqudah, Tatjana Dokic, Mladen Kezunovic, Zoran Obradovic
2022	B	`conf`	Session-based News Recommendation from Temporal User Commenting Dynamics. ASONAM Chen Shen, Chao Han, Lihong He, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
2022	C	`conf`	Software package for regression algorithms based on Gaussian Conditional Random Fields. ICMLA Tijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic
2022	—	`conf`	Supervised Multi-view Latent Space Learning by Jointly Preserving Similarities Across Views and Samples. DASFAA (2) Xiaoyang Li, Martin Pavlovski, Fang Zhou, Qiwen Dong, Weining Qian, Zoran Obradovic
2022	C	`conf`	Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. ICMLA Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic
2021	J	`jnl`	Another estimation of Laplacian spectrum of the Kronecker product of graphs. CoRR Milan Basic, Branko Arsic, Zoran Obradovic
2021	B	`conf`	Cosine similarity for multiplex network summarization. ASONAM Athanasia Polychronopoulou, Fang Zhou, Zoran Obradovic
2021	J	`jnl`	DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Res. Bi Zhao, Akila Katuwawala, Christopher J. Oldfield, A. Keith Dunker, Eshel Faraggi, Jörg Gsponer, Andrzej Kloczkowski, Nawar Malhis, Milot Mirdita, Zoran Obradovic, Johannes Söding, Martin Steinegger, Yaoqi Zhou, Lukasz A. Kurgan
2021	B	`conf`	Distinguishability of graphs: a case for quantum-inspired measures. ASONAM Athanasia Polychronopoulou, Jumanah Alshehri, Zoran Obradovic
2021	—	`conf`	Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset using Big Data Analytics. HICSS Rashid Baembitov, Tatjana Dokic, Mladen Kezunovic, Yi Hu, Zoran Obradovic
2021	J	`jnl`	Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. IEEE Trans. Instrum. Meas. Martin Pavlovski, Mohammad Alqudah, Tatjana Dokic, Ameen Abdel Hai, Mladen Kezunovic, Zoran Obradovic
2021	J	`jnl`	Interception of automated adversarial drone swarms in partially observed environments. Integr. Comput. Aided Eng. Daniel Saranovic, Martin Pavlovski, William Power, Ivan Stojkovic, Zoran Obradovic
2021	—	`conf`	Stay on Topic, Please: Aligning User Comments to the Content of a News Article. ECIR (1) Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic
2021	J	`jnl`	Stay on Topic, Please: Aligning User Comments to the Content of a News Article. CoRR Jumanah Alshehri, Marija Stanojevic, Eduard C. Dragut, Zoran Obradovic
2021	J	`jnl`	Transfer Learning for Event Detection From PMU Measurements With Scarce Labels. IEEE Access Ameen Abdel Hai, Tatjana Dokic, Martin Pavlovski, Taif Mohamed, Daniel Saranovic, Mohammad Alqudah, Mladen Kezunovic, Zoran Obradovic
2020	—	`conf`	Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning. AIAI (2) William Power, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic, Zoran Obradovic
2020	J	`jnl`	Extracting Entities and Topics from News and Connecting Criminal Records. CoRR Quang Pham, Marija Stanojevic, Zoran Obradovic
2020	J	`jnl`	Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput. Methods Programs Biomed. Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic
2020	J	`jnl`	On the dynamics of user engagement in news comment media. WIREs Data Mining Knowl. Discov. Lihong He, Chao Han, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut
2020	J	`jnl`	Predicting complications of diabetes mellitus using advanced machine learning algorithms. J. Am. Medical Informatics Assoc. Branimir Ljubic, Ameen Abdel Hai, Marija Stanojevic, Wilson Diaz, Daniel Polimac, Martin Pavlovski, Zoran Obradovic
2020	—	`conf`	Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast. HICSS Mohammad Alqudah, Tatjana Djokic, Mladen Kezunovic, Zoran Obradovic
2020	A*	`conf`	Time-Aware User Embeddings as a Service. KDD Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic
2020	J	`jnl`	Use of disease embedding technique to predict the risk of progression to end-stage renal disease. J. Biomed. Informatics Fang Zhou, Avrum Gillespie, Djordje Gligorijevic, Jelena Gligorijevic, Zoran Obradovic
2019	—	`conf`	Biased News Data Influence on Classifying Social Media Posts. NewsIR@SIGIR Marija Stanojevic, Jumanah Alshehri, Eduard C. Dragut, Zoran Obradovic
2019	J	`jnl`	Deeply supervised model for click-through rate prediction in sponsored search. Data Min. Knowl. Discov. Jelena Gligorijevic, Djordje Gligorijevic, Ivan Stojkovic, Xiao Bai, Amit Goyal, Zoran Obradovic
2019	J	`jnl`	Editorial Message. Big Data Zoran Obradovic
2019	J	`jnl`	Editorial Message. Big Data Zoran Obradovic
2019	J	`jnl`	Further results on structured regression for multi-scale networks. CoRR Milan Basic, Branko Arsic, Zoran Obradovic
2019	A	`conf`	Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification. SDM Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic
2019	J	`jnl`	Multi-domain and multi-view networks model for clustering hospital admissions from the emergency department. Int. J. Data Sci. Anal. Nouf Albarakati, Zoran Obradovic
2019	J	`jnl`	Optimizing clinical trials recruitment via deep learning. J. Am. Medical Informatics Assoc. Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, Zoran Obradovic
2019	—	`conf`	Pattern discovery in intrusion chains and adversarial movement. CyberSA Nima Asadi, Aunshul Rege, Zoran Obradovic
2019	J	`jnl`	Social network analysis for better understanding of influenza. J. Biomed. Informatics Branimir Ljubic, Djordje Gligorijevic, Jelena Gligorijevic, Martin Pavlovski, Zoran Obradovic
2019	—	`conf`	Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission. HICSS Tatjana Dokic, Martin Pavlovski, Djordje Gligorijevic, Mladen Kezunovic, Zoran Obradovic
2019	B	`conf`	Surveying public opinion using label prediction on social media data. ASONAM Marija Stanojevic, Jumanah Alshehri, Zoran Obradovic
2019	A	`conf`	Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. SDM Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic
2019	J	`jnl`	Time-to-event estimation by re-defining time. J. Biomed. Informatics Xi Hang Cao, Chao Han, Lucas M. Glass, Allen Kindman, Zoran Obradovic
2018	A	`conf`	A Simple yet Effective Model for Zero-Shot Learning. WACV Xi Hang Cao, Zoran Obradovic, Kyungnam Kim
2018	—	`conf`	Analysis of Adversarial Movement Through Characteristics of Graph Topological Ordering. CyberSA Nima Asadi, Aunshul Rege, Zoran Obradovic
2018	—	`conf`	Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology. SBP-BRiMS Nima Asadi, Aunshul Rege, Zoran Obradovic
2018	A	`conf`	Deep Attention Model for Triage of Emergency Department Patients. SDM Djordje Gligorijevic, Jelena Stojanovic, Wayne Satz, Ivan Stojkovic, Kraftin Schreyer, Daniel Del Portal, Zoran Obradovic
2018	J	`jnl`	Deep Attention Model for Triage of Emergency Department Patients. CoRR Djordje Gligorijevic, Jelena Stojanovic, Wayne Satz, Ivan Stojkovic, Kraftin Schreyer, Daniel Del Portal, Zoran Obradovic
2018	J	`jnl`	Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search. CoRR Jelena Gligorijevic, Djordje Gligorijevic, Ivan Stojkovic, Xiao Bai, Amit Goyal, Zoran Obradovic
2018	J	`jnl`	Editorial Message. Big Data Zoran Obradovic
2018	J	`jnl`	Editorial Message. Big Data Zoran Obradovic
2018	J	`jnl`	Fast learning of scale-free networks based on Cholesky factorization. Int. J. Intell. Syst. Vladisav Jelisavcic, Ivan Stojkovic, Veljko Milutinovic, Zoran Obradovic
2018	A*	`conf`	Generalization-Aware Structured Regression towards Balancing Bias and Variance. IJCAI Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic
2018	J	`jnl`	Improving confidence while predicting trends in temporal disease networks. CoRR Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic
2018	—	`conf`	Learning a Dynamic-Based Representation for Multivariate Biomarker Time Series Classifications. ICHI Xi Hang Cao, Chao Han, Zoran Obradovic
2018	J	`jnl`	Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models. IEEE J. Biomed. Health Informatics Milos Jordanski, Milos D. Radovic, Zarko Milosevic, Nenad Filipovic, Zoran Obradovic
2018	J	`jnl`	Modeling Customer Engagement from Partial Observations. CoRR Jelena Stojanovic, Djordje Gligorijevic, Zoran Obradovic
2018	A*	`conf`	Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. SIGIR Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic
2018	J	`jnl`	NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo
2018	J	`jnl`	New Methods for Analyzing Complex Biomedical Systems and Signals. Complex. Irini Reljin, Zoran Obradovic, Mirjana B. Popovic, Valeri M. Mladenov
2018	J	`jnl`	Predicting Adversarial Cyber-Intrusion Stages Using Autoregressive Neural Networks. IEEE Intell. Syst. Aunshul Rege, Zoran Obradovic, Nima Asadi, Edward Parker, Rohan Pandit, Nicholas Masceri, Brian Singer
2018	J	`jnl`	Semi-supervised learning for structured regression on partially observed attributed graphs. CoRR Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic
2018	—	`conf`	Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications. HICSS Mladen Kezunovic, Zoran Obradovic, Tatjana Djokic, Shoumik Roychoudhury
2017	—	`ed.`	2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017 IEEE BigData Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
2017	—	`conf`	A Robust Descriptor for Color Texture Classification Under Varying Illumination. VISIGRAPP (4: VISAPP) Tamiris Trevisan Negri, Fang Zhou, Zoran Obradovic, Adilson Gonzaga
2017	—	`conf`	A temporal assessment of cyber intrusion chains using multidisciplinary frameworks and methodologies. CyberSA Aunshul Rege, Zoran Obradovic, Nima Asadi, Brian Singer, Nicholas Masceri
2017	—	`conf`	Adaptive Skip-Train Structured Regression for Temporal Networks. ECML/PKDD (2) Martin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic
2017	A*	`conf`	Continuous Conditional Dependency Network for Structured Regression. AAAI Chao Han, Mohamed F. Ghalwash, Zoran Obradovic
2017	—	`conf`	Cost Sensitive Time-Series Classification. ECML/PKDD (2) Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic
2017	B	`conf`	Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach. CBMS Nouf Albarakati, Zoran Obradovic
2017	A*	`conf`	Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization. IJCAI Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic
2017	J	`jnl`	Gaussian conditional random fields extended for directed graphs. Mach. Learn. Tijana Vujicic, Jesse Glass, Fang Zhou, Zoran Obradovic
2017	J	`jnl`	Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. BMC Bioinform. Milos D. Radovic, Mohamed F. Ghalwash, Nenad Filipovic, Zoran Obradovic
2017	J	`jnl`	Mining Skier Transportation Patterns From Ski Resort Lift Usage Data. IEEE Trans. Hum. Mach. Syst. Boris Delibasic, Petar Markovic, Pavlos Delias, Zoran Obradovic
2017	J	`jnl`	Modeling Healthcare Quality via Compact Representations of Electronic Health Records. IEEE ACM Trans. Comput. Biol. Bioinform. Jelena Stojanovic, Djordje Gligorijevic, Vladan Radosavljevic, Nemanja Djuric, Mihajlo Grbovic, Zoran Obradovic
2017	B	`conf`	Predicting Sepsis Biomarker Progression under Therapy. CBMS Ivan Stojkovic, Zoran Obradovic
2017	—	`conf`	Ranking Based Multitask Learning of Scoring Functions. ECML/PKDD (2) Ivan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic
2017	J	`jnl`	Sparse Learning of the Disease Severity Score for High-Dimensional Data. Complex. Ivan Stojkovic, Zoran Obradovic
2017	J	`jnl`	Structured Regression on Multiscale Networks. IEEE Intell. Syst. Jesse Glass, Zoran Obradovic
2017	—	`conf`	Using a Real-Time Cybersecurity Exercise Case Study to Understand Temporal Characteristics of Cyberattacks. SBP-BRiMS Aunshul Rege, Zoran Obradovic, Nima Asadi, Edward Parker, Nicholas Masceri, Brian Singer, Rohan Pandit
2016	—	`conf`	A fast structured regression for large networks. IEEE BigData Fang Zhou, Mohamed F. Ghalwash, Zoran Obradovic
2016	J	`jnl`	A robust data scaling algorithm to improve classification accuracies in biomedical data. BMC Bioinform. Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic
2016	A*	`conf`	Distance Based Modeling of Interactions in Structured Regression. IJCAI Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic, Zoran Obradovic
2016	A*	`conf`	Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. AAAI Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic
2016	J	`jnl`	Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic
2016	A	`conf`	Joint Learning of Representation and Structure for Sparse Regression on Graphs. SDM Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic
2016	A	`conf`	Modeling Customer Engagement from Partial Observations. CIKM Jelena Stojanovic, Djordje Gligorijevic, Zoran Obradovic
2016	—	`conf`	Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification. SocInfo (1) Tom Mirowski, Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic
2016	—	`conf`	Risk Assessment of a Transmission Line Insulation Breakdown Due to Lightning and Severe Weather. HICSS Tatjana Djokic, Payman Dehghanian, Po-Chen Chen, Mladen Kezunovic, Zenon Medina-Cetina, Jelena Stojanovic, Zoran Obradovic
2016	A	`conf`	Shape Invariant Formulation for Change Point Models in Multiple Dimensions. ECAI Jesse Glass, Zoran Obradovic
2016	A	`conf`	Structured Regression on Multilayer Networks. SDM Athanasia Polychronopoulou, Zoran Obradovic
2016	J	`jnl`	Structured feature selection using coordinate descent optimization. BMC Bioinform. Mohamed F. Ghalwash, Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic
2016	A*	`conf`	Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks. AAAI Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic
2015	J	`jnl`	A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States. IEEE Trans. Geosci. Remote. Sens. Debasish Das, Auroop R. Ganguly, Zoran Obradovic
2015	J	`jnl`	A distributed decision support algorithm that preserves personal privacy. J. Intell. Inf. Syst. George Mathew, Zoran Obradovic
2015	C	`conf`	A robust data scaling algorithm for gene expression classification. BIBE Xi Hang Cao, Zoran Obradovic
2015	Misc	`conf`	Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses. AMIA Dusan Ramljak, Adam Davey, Alexey Uversky, Shoumik Roychoudhury, Zoran Obradovic
2015	B	`conf`	Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. AIME Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
2015	C	`conf`	False alarm suppression in early prediction of cardiac arrhythmia. BIBE Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic
2015	J	`jnl`	Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals. IEEE Geosci. Remote. Sens. Lett. Nemanja Djuric, Vladan Radosavljevic, Zoran Obradovic, Slobodan Vucetic
2015	J	`jnl`	Guest editorial: Special issue on data mining for medicine and healthcare. Data Min. Knowl. Discov. Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson
2015	—	`conf`	Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. KMO Milan Vukicevic, Sandro Radovanovic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
2015	J	`jnl`	Patient-specific early classification of multivariate observations. Int. J. Data Min. Bioinform. Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic
2015	A	`conf`	Semi-supervised learning for structured regression on partially observed attributed graphs. SDM Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic
2014	—	`conf`	Hospital pricing estimation by Gaussian conditional random fields based regression on graphs. BIBM Athanasia Polychronopoulou, Zoran Obradovic
2014	J	`jnl`	Imputation of missing links and attributes in longitudinal social surveys. Mach. Learn. Vladimir Ouzienko, Zoran Obradovic
2014	—	`conf`	Neural Gaussian Conditional Random Fields. ECML/PKDD (2) Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2014	J	`jnl`	Panning for gold: using variograms to select useful connections in a temporal multigraph setting. Soc. Netw. Anal. Min. Alexey Uversky, Dusan Ramljak, Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic
2014	B	`conf`	Predicting Sepsis Severity from Limited Temporal Observations. Discovery Science Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic
2014	A	`ed.`	Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 SDM Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy
2014	Misc	`conf`	Readmission Classification Using Stacked Regularized Logistic Regression Models. AMIA Gregor Stiglic, Fei Wang, Adam Davey, Zoran Obradovic
2014	A*	`conf`	Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. KDD Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013	J	`jnl`	Classifying Temporal microarray Data by Selecting Informative genes. J. Bioinform. Comput. Biol. Qiang Lou, Zoran Obradovic
2013	—	`conf`	Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources. ECML/PKDD (3) Ping Zhang, Pankaj Agarwal, Zoran Obradovic
2013	A*	`conf`	Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. AAAI Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2013	J	`jnl`	D Nucleic Acids Res. Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough
2013	J	`jnl`	Distributed Privacy-Preserving Decision Support System for Highly Imbalanced Clinical Data. ACM Trans. Manag. Inf. Syst. George Mathew, Zoran Obradovic
2013	J	`jnl`	Dynamic distributed predictive learning models that preserve privacy for hospitals with insufficient labeled data. Netw. Model. Anal. Health Informatics Bioinform. George Mathew, Zoran Obradovic
2013	—	`conf`	Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment. ICHI Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013	A*	`conf`	Extraction of Interpretable Multivariate Patterns for Early Diagnostics. ICDM Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013	—	`conf`	Improving Computational Efficiency for Personalized Medical Applications in Mobile Cloud Computing Environment. ICHI George Mathew, Zoran Obradovic
2013	J	`jnl`	Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics. BMC Bioinform. Ping Zhang, Weidan Cao, Zoran Obradovic
2013	—	`conf`	Poster: Auto-reduction of features for containing communication costs in a distributed privacy-preserving clinical decision support system. ICCABS George Mathew, Zoran Obradovic
2013	—	`conf`	Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions. ICHI Gregor Stiglic, Adam Davey, Zoran Obradovic
2013	B	`conf`	Which links should I use?: a variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs. ASONAM Alexey Uversky, Dusan Ramljak, Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic
2012	—	`conf`	A data mining approach for optimization of acute inflammation therapy. BIBM Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic
2012	C	`conf`	A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. CIBCB Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic
2012	A*	`conf`	Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates. ICDM Qiang Lou, Zoran Obradovic
2012	J	`jnl`	DNA microarray SNP associations with clinical efficacy and side effects of domperidone treatment for gastroparesis. J. Biomed. Informatics Dairong Wang, Henry P. Parkman, Michael R. Jacobs, Anurag K. Mishra, Evgeny Krynetskiy, Zoran Obradovic
2012	—	`conf`	Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data. ICMLA (2) George Mathew, Zoran Obradovic
2012	J	`jnl`	Early classification of multivariate temporal observations by extraction of interpretable shapelets. BMC Bioinform. Mohamed F. Ghalwash, Zoran Obradovic
2012	—	`conf`	Early classification of multivariate time series using a hybrid HMM/SVM model. BIBM Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic
2012	C	`conf`	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. CIBCB Qiang Lou, Henry P. Parkman, Michael R. Jacobs, Evgeny Krynetskiy, Zoran Obradovic
2012	—	`conf`	Integration of multiple annotators by aggregating experts and filtering novices. BIBM Ping Zhang, Zoran Obradovic
2012	J	`jnl`	Learning pair-wise gene functional similarity by multiplex gene expression maps. BMC Bioinform. Li An, Haibin Ling, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou
2012	A*	`conf`	Margin-Based Feature Selection in Incomplete Data. AAAI Qiang Lou, Zoran Obradovic
2012	A	`conf`	Mining Extremes: Severe Rainfall and Climate Change. ECAI Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly
2012	—	`conf`	Predicting viral infection by selecting informative biomarkers from temporal high-dimensional gene expression data. BIBM Qiang Lou, Zoran Obradovic
2012	J	`jnl`	Reusable components in decision tree induction algorithms. Comput. Stat. Milija Suknovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Dragana Becejski-Vujaklija, Zoran Obradovic
2012	—	`conf`	Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. ICMLA (1) Jelena Slivka, Ping Zhang, Aleksandar Kovacevic, Zora Konjovic, Zoran Obradovic
2012	C	`conf`	Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic
2012	—	`conf`	Towards a DGSS Prototype for Early Warning for Ski Injuries. ICDE Workshops Boris Delibasic, Zoran Obradovic
2012	J	`jnl`	Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval. IEEE Trans. Geosci. Remote. Sens. Kosta Ristovski, Slobodan Vucetic, Zoran Obradovic
2012	—	`conf`	Understanding Cloud Data Using Approximate String Matching and Edit Distance. SC Companion Joseph Jupin, Justin Y. Shi, Zoran Obradovic
2011	J	`jnl`	A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. Stat. Anal. Data Min. Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2011	—	`conf`	A privacy-preserving framework for distributed clinical decision support. ICCABS George Mathew, Zoran Obradovic
2011	J	`jnl`	Bioinformatics analysis of disordered proteins in prokaryotes. BMC Bioinform. Gordana Pavlovic-Lazetic, Nenad S. Mitic, Jovana J. Kovacevic, Zoran Obradovic, Sasa N. Malkov, Milos V. Beljanski
2011	J	`jnl`	Component-based decision trees for classification. Intell. Data Anal. Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic, Zoran Obradovic
2011	—	`conf`	Constraint graphs as security filters for privacy assurance in medical transactions. BCB George Mathew, Zoran Obradovic
2011	—	`conf`	Identifying pair-wise gene functional similarity by multiplex gene expression maps and supervised learning. BCB Li An, Haibin Ling, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou
2011	—	`conf`	Imputation of Missing Links and Attributes in Longitudinal Social Surveys. ICDM Workshops Vladimir Ouzienko, Zoran Obradovic
2011	—	`conf`	Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. BIBM Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic
2011	—	`conf`	Intrinsic Disorder in Putative Protein Sequences. BIBM Uros Midic, Zoran Obradovic
2011	—	`conf`	Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion. ECML/PKDD (3) Ping Zhang, Zoran Obradovic
2011	J	`jnl`	Local spatial biclustering and prediction of urban juvenile delinquency and recidivism. Stat. Anal. Data Min. Alan J. Izenman, Philip W. Harris, Jeremy Mennis, Joseph Jupin, Zoran Obradovic
2011	A*	`conf`	Modeling Multivariate Spatio-Temporal Remote Sensing Data with Large Gaps. IJCAI Qiang Lou, Zoran Obradovic
2010	J	`jnl`	A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures. IEEE Geosci. Remote. Sens. Lett. Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2010	A	`conf`	Continuous Conditional Random Fields for Regression in Remote Sensing. ECAI Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2010	A	`conf`	Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space. ECAI Qiang Lou, Zoran Obradovic
2010	—	`conf`	Identifying gene functions using functional expression profiles obtained by voxelation. BCB Li An, Desmond J. Smith, Hongbo M. Xie, Vasileios Megalooikonomou, Zoran Obradovic
2010	—	`conf`	Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. KDIR Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic
2010	A	`conf`	Prediction of Attributes and Links in Temporal Social Networks. ECAI Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2010	A	`conf`	Regression Learning with Multiple Noisy Oracles. ECAI Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2010	—	`conf`	Unsupervised integration of multiple protein disorder predictors. BIBM Ping Zhang, Zoran Obradovic
2010	C	`conf`	Vocabularies in collaboration channels. CollaborateCom George Mathew, Zoran Obradovic
2009	—	`conf`	A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants. BICoB Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen, Zoran Obradovic, A. Keith Dunker, Dong Xu
2009	A*	`conf`	Active Selection of Sensor Sites in Remote Sensing Applications. ICDM Debasish Das, Zoran Obradovic, Slobodan Vucetic
2009	J	`jnl`	Analysis of multiplex gene expression maps obtained by voxelation. BMC Bioinform. Li An, Hongbo M. Xie, Mark H. Chin, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou
2009	B	`conf`	Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data. DaWaK Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Zoran Obradovic
2009	—	`conf`	Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet. KDD Workshop on Statistical and Relational Learning in Bioinformatics Uros Midic, A. Keith Dunker, Zoran Obradovic
2009	—	`conf`	Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. KDD Workshop on Knowledge Discovery from Sensor Data Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2009	J	`jnl`	Special issue on the best papers of SDM'09. Stat. Anal. Data Min. Zoran Obradovic, Huan Liu
2008	J	`jnl`	A Data-Mining Approach for the Validation of Aerosol Retrievals. IEEE Geosci. Remote. Sens. Lett. Slobodan Vucetic, Bo Han, Wen Mi, Zhanquing Li, Zoran Obradovic
2008	A	`conf`	Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression. SDM Zhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic
2008	J	`jnl`	An adaptive partitioning approach for mining discriminant regions in 3D image data. J. Intell. Inf. Syst. Vasileios Megalooikonomou, Despina Kontos, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic
2008	—	`conf`	Analysis of Multiplex Gene Expression Maps Obtained by Voxelation. BIBM Li An, Hongbo M. Xie, Mark H. Chin, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou
2008	—	`conf`	Improvement of Survival Prediction from Gene Expression Profiles by Mining of Prior Knowledge. BIBM Siyuan Ren, Zoran Obradovic
2008	—	`conf`	Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation. IGARSS (2) Debasish Das, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2008	A	`conf`	Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. SDM Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2007	J	`jnl`	DisProt: the Database of Disordered Proteins. Nucleic Acids Res. Megan Sickmeier, Justin A. Hamilton, Tanguy LeGall, Vladimir Vacic, Marc S. Cortese, Ágnes Tantos, Beáta Szabó, Peter Tompa, Jake Yue Chen, Vladimir N. Uversky, Zoran Obradovic, A. Keith Dunker
2007	J	`jnl`	Exploring alternative knowledge representations for protein secondary-structure prediction. Int. J. Data Min. Bioinform. Uros Midic, A. Keith Dunker, Zoran Obradovic
2007	C	`conf`	Intrinsically Disordered Proteins: An Update. BIBE A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky
2007	C	`conf`	Intrinsically Disordered Proteins: Predictions and Applications. BIBE A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky
2007	J	`jnl`	ProtBuD: a database of biological unit structures of protein families and superfamilies. Bioinform. Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.
2006	J	`jnl`	A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data. Eng. Appl. Artif. Intell. Bo Han, Slobodan Vucetic, Amy Braverman, Zoran Obradovic
2006	C	`conf`	Data Mining Support for the Improvement of MODIS Aerosol Retrievals. IGARSS Bo Han, Zoran Obradovic, Zhanquing Li, Slobodan Vucetic
2006	A	`conf`	Efficient Learning from Massive Spatial-Temporal Data Through Selective Support Vector Propagation. ECAI Yilian Qin, Zoran Obradovic
2006	—	`conf`	Keyphrase extraction-based query expansion in digital libraries. JCDL Min Song, Il-Yeol Song, Robert B. Allen, Zoran Obradovic
2006	J	`jnl`	Length-dependent prediction of protein intrinsic disorder. BMC Bioinform. Kang Peng, Predrag Radivojac, Slobodan Vucetic, A. Keith Dunker, Zoran Obradovic
2006	J	`jnl`	ProtBuD: a database of biological unit structures of protein families and superfamilies. Bioinform. Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.
2006	J	`jnl`	Substring selection for biomedical document classification. Bioinform. Bo Han, Zoran Obradovic, Zhang-Zhi Hu, Cathy H. Wu, Slobodan Vucetic
2005	J	`jnl`	Applying spatial distribution analysis techniques to classification of 3D medical images. Artif. Intell. Medicine Dragoljub Pokrajac, Vasileios Megalooikonomou, Aleksandar Lazarevic, Despina Kontos, Zoran Obradovic
2005	J	`jnl`	Collaborative Filtering Using a Regression-Based Approach. Knowl. Inf. Syst. Slobodan Vucetic, Zoran Obradovic
2005	A	`conf`	Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. SDM Kang Peng, Slobodan Vucetic, Zoran Obradovic
2005	J	`jnl`	DisProt: a database of protein disorder. Bioinform. 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
2005	C	`conf`	Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments. CIBCB Uros Midic, A. Keith Dunker, Zoran Obradovic
2005	J	`jnl`	Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information. J. Bioinform. Comput. Biol. Kang Peng, Slobodan Vucetic, Predrag Radivojac, Celeste J. Brown, A. Keith Dunker, Zoran Obradovic
2004	J	`jnl`	Classification and knowledge discovery in protein databases. J. Biomed. Informatics Predrag Radivojac, Nitesh V. Chawla, A. Keith Dunker, Zoran Obradovic
2004	Misc	`conf`	Exploring Bias in the Protein Data Bank Using Contrast Classifiers. Pacific Symposium on Biocomputing Kang Peng, Zoran Obradovic, Slobodan Vucetic
2004	—	`conf`	Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. MICCAI (2) Despina Kontos, Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic, Orest B. Boyko, James Ford, Fillia Makedon, Andrew J. Saykin
2004	—	`conf`	Feature Selection Filters Based on the Permutation Test. ECML Predrag Radivojac, Zoran Obradovic, A. Keith Dunker, Slobodan Vucetic
2004	B	`conf`	Localized neural network based distributional learning for knowledge discovery in protein databases. IJCNN Dragoljub Pokrajac, Aleksandar Lazarevic, Teresa Singleton, Zoran Obradovic
2004	A	`conf`	Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. ECAI Kang Peng, Zoran Obradovic, Slobodan Vucetic
2003	A	`conf`	Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. SDM Slobodan Vucetic, Dragoljub Pokrajac, Hongbo M. Xie, Zoran Obradovic
2003	A*	`conf`	Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. ICDM Kang Peng, Slobodan Vucetic, Bo Han, Hongbo M. Xie, Zoran Obradovic
2003	J	`jnl`	Modeling Spatial-Temporal Data with a Short Observation History. Knowl. Inf. Syst. Dragoljub Pokrajac, Reed L. Hoskinson, Zoran Obradovic
2003	Misc	`conf`	Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions. Pacific Symposium on Biocomputing Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker
2003	—	`conf`	Reranking Medline Citations by Relevance to a Difficult Biological Query. Neural Networks and Computational Intelligence Bo Han, Slobodan Vucetic, Zoran Obradovic
2002	J	`jnl`	Boosting Algorithms for Parallel and Distributed Learning. Distributed Parallel Databases Aleksandar Lazarevic, Zoran Obradovic
2002	Misc	`conf`	Effective classification of 3D image data using partitioning methods. Visualization and Data Analysis Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic
2002	Misc	`conf`	Improving Sequence Alignments For Intrinsically Disordered Proteins. Pacific Symposium on Biocomputing Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker
2002	J	`jnl`	Knowledge Discovery in Multiple Spatial Databases. Neural Comput. Appl. Aleksandar Lazarevic, Zoran Obradovic
2001	J	`jnl`	Adaptive boosting techniques in heterogeneous and spatial databases. Intell. Data Anal. Aleksandar Lazarevic, Zoran Obradovic
2001	A	`conf`	Boosting Localized Classifiers in Heterogeneous Databases. SDM Aleksandar Lazarevic, Zoran Obradovic
2001	—	`conf`	Classification on Data with Biased Class Distribution. ECML Slobodan Vucetic, Zoran Obradovic
2001	—	`conf`	Data Reduction Using Multiple Models Integration. PKDD Aleksandar Lazarevic, Zoran Obradovic
2001	A	`conf`	Improved Spatial-Temporal Forecasting through Modelling of Spatial Residuals in Recent History. SDM Dragoljub Pokrajac, Zoran Obradovic
2001	Misc	`conf`	The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder. Pacific Symposium on Biocomputing R. M. Williams, Zoran Obradovic, V. Mathura, W. Braun, E. C. Garner, J. Young, S. Takayama, Celeste J. Brown, A. Keith Dunker
2001	A*	`conf`	The distributed boosting algorithm. KDD Aleksandar Lazarevic, Zoran Obradovic
2000	—	`conf`	A Software System for Spatial Data Analysis and Modeling. HICSS Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
2000	—	`conf`	A tool for controlled knowledge discovery in spatial domains. ESM Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez
2000	B	`conf`	Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. PAKDD Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
2000	A*	`conf`	Discovering Homogeneous Regions in Spatial Data through Competition. ICML Slobodan Vucetic, Zoran Obradovic
2000	A*	`conf`	Distributed and parallel knowledge discovery (workshop session - title only). KDD Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic
2000	B	`conf`	Distributed clustering and local regression for knowledge discovery in multiple spatial databases. ESANN Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Obradovic
2000	J	`jnl`	Intelligent Data Analysis for Protein Disorder Prediction. Artif. Intell. Rev. Pedro Romero, Zoran Obradovic, A. Keith Dunker
2000	—	`conf`	Learning Heterogeneous Functions from Sparse and Non-Uniform Sample. IJCNN (3) Dragoljub Pokrajac, Zoran Obradovic
2000	B	`conf`	Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. PAKDD Slobodan Vucetic, Zoran Obradovic
2000	J	`jnl`	Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. SIGKDD Explor. Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic
2000	—	`conf`	Understanding the influence of noise, sampling density and data distribution on spatial prediction quality through the use of simulated data. ESM Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez
1999	B	`conf`	A data partitioning scheme for spatial regression. IJCNN Slobodan Vucetic, Tim Fiez, Zoran Obradovic
1999	B	`conf`	Clustering-regression-ordering steps for knowledge discovery in spatial databases. IJCNN Aleksandar Lazarevic, Xiaowei Xu, Tim Fiez, Zoran Obradovic
1999	B	`conf`	Distribution comparison for site-specific regression modeling in agriculture. IJCNN Dragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoran Obradovic
1999	B	`conf`	Efficient probability density balancing for supporting distributed knowledge discovery in large databases. IJCNN Dragan Obradovic, Zoran Obradovic
1998	—	`conf`	Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms. ISMVL Alioune Ngom, Ivan Stojmenovic, Zoran Obradovic
1997	—	`conf`	INFFC data analysis: lower bounds and testbed design recommendations. CIFEr Radu Drossu, Zoran Obradovic
1997	—	`conf`	Identifying disordered regions in proteins from amino acid sequence. ICNN Pedro Romero, Zoran Obradovic, C. Kissinger, J. E. Villafranca, A. Keith Dunker
1997	—	`conf`	Regime Signaling Techniques for Non-stationary Time Series. HICSS (5) Radu Drossu, Zoran Obradovic
1996	—	`conf`	A Flexible Graphical User Interface to Heterogeneous Neural Network Simulators. ESM Radu Drossu, Zoran Obradovic, Justin Fletcher
1996	J	`jnl`	A multi-component nonlinear prediction system for the S&P 500 Index. Neurocomputing Tim Chenoweth, Zoran Obradovic
1996	—	`conf`	Annealing based dynamic learning in second-order neural networks. ICNN Srdjan Milenkovic, Zoran Obradovic, Vanco B. Litovski
1996	J	`jnl`	Embedding Technical Analysis Into Neural Network Based Trading Systems. Appl. Artif. Intell. Tim Chenoweth, Zoran Obradovic, Sauchi Stephen Lee
1996	J	`jnl`	Parallel neural network learning through repetitive bounded depth trajectory branching. Neural Parallel Sci. Comput. Zoran Obradovic, Iuri Mehr
1995	J	`jnl`	A discrete approach to constructive neural network learning. Neural Parallel Sci. Comput. Justin Fletcher, Zoran Obradovic
1994	—	`conf`	Evolutionary Design of Application Tailored Neural Networks. International Conference on Evolutionary Computation Zoran Obradovic, Rangarajan Srikumar
1994	J	`jnl`	Learning with Discrete Multi-valued Neurons. J. Comput. Syst. Sci. Zoran Obradovic, Ian Parberry
1994	—	`conf`	Parallel Neural Network Learning Through Repetitive Bounded Depth Trajectory Branching. IPPS Iuri Mehr, Zoran Obradovic
1993	A	`conf`	Parallel and Distributed Systems for Constructive Neural Network Learning. HPDC Justin Fletcher, Zoran Obradovic
1992	J	`jnl`	Computing with Discrete Multi-Valued Neurons. J. Comput. Syst. Sci. Zoran Obradovic, Ian Parberry
1990	—	`conf`	Learning with Discrete Multi-Valued Neurons. ML Zoran Obradovic, Ian Parberry
1990	J	`jnl`	Small Depth Polynomial Size Neural Networks. Neural Comput. Zoran Obradovic, Peiyuan Yan
1989	—	`conf`	Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. NIPS Zoran Obradovic, Ian Parberry