Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. - Zoran Obradovic; Ian Parberry (NIPS, 1989)

Small Depth Polynomial Size Neural Networks. - Zoran Obradovic; Peiyuan Yan (Neural Comput., 1990)

Computing with Discrete Multi-Valued Neurons. - Zoran Obradovic; Ian Parberry (J. Comput. Syst. Sci., 1992)

Parallel and Distributed Systems for Constructive Neural Network Learning. - Justin Fletcher; Zoran Obradovic (HPDC, 1993)

Evolutionary Design of Application Tailored Neural Networks. - Zoran Obradovic; Rangarajan Srikumar (International Conference on Evolutionary Computation, 1994)

Learning with Discrete Multi-valued Neurons. - Zoran Obradovic; Ian Parberry (J. Comput. Syst. Sci., 1994)

A discrete approach to constructive neural network learning. - Justin Fletcher; Zoran Obradovic (Neural Parallel Sci. Comput., 1995)

A Flexible Graphical User Interface to Heterogeneous Neural Network Simulators. - Radu Drossu; Zoran Obradovic; Justin Fletcher (ESM, 1996)

Annealing based dynamic learning in second-order neural networks. - Srdjan Milenkovic; Zoran Obradovic; Vanco B. Litovski (ICNN, 1996)

Embedding Technical Analysis Into Neural Network Based Trading Systems. - Tim Chenoweth; Zoran Obradovic; Sauchi Stephen Lee (Appl. Artif. Intell., 1996)

A multi-component nonlinear prediction system for the S&P 500 Index. - Tim Chenoweth; Zoran Obradovic (Neurocomputing, 1996)

Parallel neural network learning through repetitive bounded depth trajectory branching. - Zoran Obradovic; Iuri Mehr (Neural Parallel Sci. Comput., 1996)

INFFC data analysis: lower bounds and testbed design recommendations. - Radu Drossu; Zoran Obradovic (CIFEr, 1997)

Regime Signaling Techniques for Non-stationary Time Series. - Radu Drossu; Zoran Obradovic (HICSS (5), 1997)

Identifying disordered regions in proteins from amino acid sequence. - Pedro Romero; Zoran Obradovic; C. Kissinger; J. E. Villafranca; A. Keith Dunker (ICNN, 1997)

Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms. - Alioune Ngom; Ivan Stojmenovic; Zoran Obradovic (ISMVL, 1998)

Clustering-regression-ordering steps for knowledge discovery in spatial databases. - Aleksandar Lazarevic; Xiaowei Xu 001; Tim Fiez; Zoran Obradovic (IJCNN, 1999)

Efficient probability density balancing for supporting distributed knowledge discovery in large databases. - Dragan Obradovic; Zoran Obradovic (IJCNN, 1999)

Distribution comparison for site-specific regression modeling in agriculture. - Dragoljub Pokrajac; Tim Fiez; Dragan Obradovic; Stephen Kwek; Zoran Obradovic (IJCNN, 1999)

A data partitioning scheme for spatial regression. - Slobodan Vucetic; Tim Fiez; Zoran Obradovic (IJCNN, 1999)

Distributed clustering and local regression for knowledge discovery in multiple spatial databases. - Aleksandar Lazarevic; Dragoljub Pokrajac; Zoran Obradovic (ESANN, 2000)

A tool for controlled knowledge discovery in spatial domains. - Dragoljub Pokrajac; Zoran Obradovic; Tim Fiez (ESM, 2000)

Understanding the influence of noise, sampling density and data distribution on spatial prediction quality through the use of simulated data. - Dragoljub Pokrajac; Zoran Obradovic; Tim Fiez (ESM, 2000)

A Software System for Spatial Data Analysis and Modeling. - Aleksandar Lazarevic; Tim Fiez; Zoran Obradovic (HICSS, 2000)

Discovering Homogeneous Regions in Spatial Data through Competition. - Slobodan Vucetic; Zoran Obradovic (ICML, 2000)

Learning Heterogeneous Functions from Sparse and Non-Uniform Sample. - Dragoljub Pokrajac; Zoran Obradovic (IJCNN (3), 2000)

Distributed and parallel knowledge discovery (workshop session - title only). - Hillol Kargupta; Philip Chan; Vipin Kumar 001; Zoran Obradovic (KDD, 2000)

Adaptive Boosting for Spatial Functions with Unstable Driving Attributes. - Aleksandar Lazarevic; Tim Fiez; Zoran Obradovic (PAKDD, 2000)

Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. - Slobodan Vucetic; Zoran Obradovic (PAKDD, 2000)

Intelligent Data Analysis for Protein Disorder Prediction. - Pedro Romero; Zoran Obradovic; A. Keith Dunker (Artif. Intell. Rev., 2000)

Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. - Hillol Kargupta; Joydeep Ghosh; Vipin Kumar 001; Zoran Obradovic (SIGKDD Explor., 2000)

Classification on Data with Biased Class Distribution. - Slobodan Vucetic; Zoran Obradovic (ECML, 2001)

The distributed boosting algorithm. - Aleksandar Lazarevic; Zoran Obradovic (KDD, 2001)

Data Reduction Using Multiple Models Integration. - Aleksandar Lazarevic; Zoran Obradovic (PKDD, 2001)

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 (Pacific Symposium on Biocomputing, 2001)

Boosting Localized Classifiers in Heterogeneous Databases. - Aleksandar Lazarevic; Zoran Obradovic (SDM, 2001)

Improved Spatial-Temporal Forecasting through Modelling of Spatial Residuals in Recent History. - Dragoljub Pokrajac; Zoran Obradovic (SDM, 2001)

Adaptive boosting techniques in heterogeneous and spatial databases. - Aleksandar Lazarevic; Zoran Obradovic (Intell. Data Anal., 2001)

Improving Sequence Alignments For Intrinsically Disordered Proteins. - Predrag Radivojac; Zoran Obradovic; Celeste J. Brown; A. Keith Dunker (Pacific Symposium on Biocomputing, 2002)

Effective classification of 3D image data using partitioning methods. - Vasileios Megalooikonomou; Dragoljub Pokrajac; Aleksandar Lazarevic; Zoran Obradovic (Visualization and Data Analysis, 2002)

Boosting Algorithms for Parallel and Distributed Learning. - Aleksandar Lazarevic; Zoran Obradovic (Distributed Parallel Databases, 2002)

Knowledge Discovery in Multiple Spatial Databases. - Aleksandar Lazarevic; Zoran Obradovic (Neural Comput. Appl., 2002)

Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. - Kang Peng; Slobodan Vucetic; Bo Han; Hongbo M. Xie; Zoran Obradovic (ICDM, 2003)

Reranking Medline Citations by Relevance to a Difficult Biological Query. - Bo Han; Slobodan Vucetic; Zoran Obradovic (Neural Networks and Computational Intelligence, 2003)

Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions. - Predrag Radivojac; Zoran Obradovic; Celeste J. Brown; A. Keith Dunker (Pacific Symposium on Biocomputing, 2003)

Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. - Slobodan Vucetic; Dragoljub Pokrajac; Hongbo M. Xie; Zoran Obradovic (SDM, 2003)

Modeling Spatial-Temporal Data with a Short Observation History. - Dragoljub Pokrajac; Reed L. Hoskinson; Zoran Obradovic (Knowl. Inf. Syst., 2003)

Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. - Kang Peng; Zoran Obradovic; Slobodan Vucetic (ECAI, 2004)

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

Localized neural network based distributional learning for knowledge discovery in protein databases. - Dragoljub Pokrajac; Aleksandar Lazarevic; Teresa Singleton; Zoran Obradovic (IJCNN, 2004)

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 (MICCAI (2), 2004)

Exploring Bias in the Protein Data Bank Using Contrast Classifiers. - Kang Peng; Zoran Obradovic; Slobodan Vucetic (Pacific Symposium on Biocomputing, 2004)

Classification and knowledge discovery in protein databases. - Predrag Radivojac; Nitesh V. Chawla; A. Keith Dunker; Zoran Obradovic (J. Biomed. Informatics, 2004)

Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments. - Uros Midic; A. Keith Dunker; Zoran Obradovic (CIBCB, 2005)

Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. - Kang Peng; Slobodan Vucetic; Zoran Obradovic (SDM, 2005)

Applying spatial distribution analysis techniques to classification of 3D medical images. - Dragoljub Pokrajac; Vasileios Megalooikonomou; Aleksandar Lazarevic; Despina Kontos; Zoran Obradovic (Artif. Intell. Medicine, 2005)

DisProt: a database of protein disorder. - 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 (Bioinform., 2005)

Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information. - Kang Peng; Slobodan Vucetic; Predrag Radivojac; Celeste J. Brown; A. Keith Dunker; Zoran Obradovic (J. Bioinform. Comput. Biol., 2005)

Collaborative Filtering Using a Regression-Based Approach. - Slobodan Vucetic; Zoran Obradovic (Knowl. Inf. Syst., 2005)

Efficient Learning from Massive Spatial-Temporal Data Through Selective Support Vector Propagation. - Yilian Qin; Zoran Obradovic (ECAI, 2006)

Data Mining Support for the Improvement of MODIS Aerosol Retrievals. - Bo Han; Zoran Obradovic; Zhanquing Li; Slobodan Vucetic (IGARSS, 2006)

Keyphrase extraction-based query expansion in digital libraries. - Min Song 001; Il-Yeol Song; Robert B. Allen; Zoran Obradovic (JCDL, 2006)

Substring selection for biomedical document classification. - Bo Han; Zoran Obradovic; Zhang-Zhi Hu; Cathy H. Wu; Slobodan Vucetic (Bioinform., 2006)

ProtBuD: a database of biological unit structures of protein families and superfamilies. - Qifang Xu; Adrian A. Canutescu; Zoran Obradovic; Roland L. Dunbrack Jr. (Bioinform., 2006)

Length-dependent prediction of protein intrinsic disorder. - Kang Peng; Predrag Radivojac; Slobodan Vucetic; A. Keith Dunker; Zoran Obradovic (BMC Bioinform., 2006)

A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data. - Bo Han; Slobodan Vucetic; Amy Braverman; Zoran Obradovic (Eng. Appl. Artif. Intell., 2006)

Intrinsically Disordered Proteins: Predictions and Applications. - A. Keith Dunker; Christopher J. Oldfield; Jingwei Meng; Pedro Romero; Jack Y. Yang; Zoran Obradovic; Vladimir N. Uversky (BIBE, 2007)

Intrinsically Disordered Proteins: An Update. - A. Keith Dunker; Christopher J. Oldfield; Jingwei Meng; Pedro Romero; Jack Y. Yang; Zoran Obradovic; Vladimir N. Uversky (BIBE, 2007)

Exploring alternative knowledge representations for protein secondary-structure prediction. - Uros Midic; A. Keith Dunker; Zoran Obradovic (Int. J. Data Min. Bioinform., 2007)

DisProt: the Database of Disordered Proteins. - 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 (Nucleic Acids Res., 2007)

Improvement of Survival Prediction from Gene Expression Profiles by Mining of Prior Knowledge. - Siyuan Ren; Zoran Obradovic (BIBM, 2008)

Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation. - Debasish Das; Vladan Radosavljevic; Slobodan Vucetic; Zoran Obradovic (IGARSS (2), 2008)

Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. - Vladan Radosavljevic; Slobodan Vucetic; Zoran Obradovic (SDM, 2008)

Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression. - Zhuang Wang; Vladan Radosavljevic; Bo Han; Zoran Obradovic (SDM, 2008)

An adaptive partitioning approach for mining discriminant regions in 3D image data. - Vasileios Megalooikonomou; Despina Kontos; Dragoljub Pokrajac; Aleksandar Lazarevic; Zoran Obradovic (J. Intell. Inf. Syst., 2008)

A Data-Mining Approach for the Validation of Aerosol Retrievals. - Slobodan Vucetic; Bo Han; Wen Mi; Zhanquing Li; Zoran Obradovic (IEEE Geosci. Remote. Sens. Lett., 2008)

A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants. - Jianjiong Gao; Ganesh Kumar Agrawal; Jay J. Thelen; Zoran Obradovic; A. Keith Dunker; Dong Xu 002 (BICoB, 2009)

Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data. - Vadim V. Ayuyev; Joseph Jupin; Philip W. Harris; Zoran Obradovic (DaWaK, 2009)

Active Selection of Sensor Sites in Remote Sensing Applications. - Debasish Das; Zoran Obradovic; Slobodan Vucetic (ICDM, 2009)

Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet. - Uros Midic; A. Keith Dunker; Zoran Obradovic (KDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009)

Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. - Vladan Radosavljevic; Slobodan Vucetic; Zoran Obradovic (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Analysis of multiplex gene expression maps obtained by voxelation. - Li An; Hongbo M. Xie; Mark H. Chin; Zoran Obradovic; Desmond J. Smith; Vasileios Megalooikonomou (BMC Bioinform., 2009)

Special issue on the best papers of SDM'09. - Zoran Obradovic; Huan Liu (Stat. Anal. Data Min., 2009)

Identifying gene functions using functional expression profiles obtained by voxelation. - Li An; Desmond J. Smith; Hongbo M. Xie; Vasileios Megalooikonomou; Zoran Obradovic (BCB, 2010)

Unsupervised integration of multiple protein disorder predictors. - Ping Zhang 016; Zoran Obradovic (BIBM, 2010)

Vocabularies in collaboration channels. - George Mathew; Zoran Obradovic (CollaborateCom, 2010)

Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space. - Qiang Lou; Zoran Obradovic (ECAI, 2010)

Prediction of Attributes and Links in Temporal Social Networks. - Vladimir Ouzienko; Yuhong Guo; Zoran Obradovic (ECAI, 2010)

Continuous Conditional Random Fields for Regression in Remote Sensing. - Vladan Radosavljevic; Slobodan Vucetic; Zoran Obradovic (ECAI, 2010)

Regression Learning with Multiple Noisy Oracles. - Kosta Ristovski; Debasish Das; Vladimir Ouzienko; Yuhong Guo; Zoran Obradovic (ECAI, 2010)

Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. - Goo Jun; Joydeep Ghosh; Vladan Radosavljevic; Zoran Obradovic (KDIR, 2010)

A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures. - Vladan Radosavljevic; Slobodan Vucetic; Zoran Obradovic (IEEE Geosci. Remote. Sens. Lett., 2010)

Identifying pair-wise gene functional similarity by multiplex gene expression maps and supervised learning. - Li An; Haibin Ling; Zoran Obradovic; Desmond J. Smith; Vasileios Megalooikonomou (BCB, 2011)

Constraint graphs as security filters for privacy assurance in medical transactions. - George Mathew; Zoran Obradovic (BCB, 2011)

Intrinsic Disorder in Putative Protein Sequences. - Uros Midic; Zoran Obradovic (BIBM, 2011)

Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. - Milan Vukicevic; Boris Delibasic; Milos Jovanovic 002; Milija Suknovic; Zoran Obradovic (BIBM, 2011)

A privacy-preserving framework for distributed clinical decision support. - George Mathew; Zoran Obradovic (ICCABS, 2011)

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

Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion. - Ping Zhang 016; Zoran Obradovic (ECML/PKDD (3), 2011)

Bioinformatics analysis of disordered proteins in prokaryotes. - Gordana Pavlovic-Lazetic; Nenad S. Mitic; Jovana J. Kovacevic; Zoran Obradovic; Sasa N. Malkov; Milos V. Beljanski (BMC Bioinform., 2011)

Component-based decision trees for classification. - Boris Delibasic; Milos Jovanovic 002; Milan Vukicevic; Milija Suknovic; Zoran Obradovic (Intell. Data Anal., 2011)

Local spatial biclustering and prediction of urban juvenile delinquency and recidivism. - Alan J. Izenman; Philip W. Harris; Jeremy Mennis; Joseph Jupin; Zoran Obradovic (Stat. Anal. Data Min., 2011)

A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. - Vladimir Ouzienko; Yuhong Guo; Zoran Obradovic (Stat. Anal. Data Min., 2011)

Margin-Based Feature Selection in Incomplete Data. - Qiang Lou; Zoran Obradovic (AAAI, 2012)

Early classification of multivariate time series using a hybrid HMM/SVM model. - Mohamed F. Ghalwash; Dusan Ramljak; Zoran Obradovic (BIBM, 2012)

Predicting viral infection by selecting informative biomarkers from temporal high-dimensional gene expression data. - Qiang Lou; Zoran Obradovic (BIBM, 2012)

A data mining approach for optimization of acute inflammation therapy. - Vladan Radosavljevic; Kosta Ristovski; Zoran Obradovic (BIBM, 2012)

Integration of multiple annotators by aggregating experts and filtering novices. - Ping Zhang 016; Zoran Obradovic (BIBM, 2012)

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 (CIBCB, 2012)

A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. - Milan Vukicevic; Boris Delibasic; Milos Jovanovic 002; Milija Suknovic; Zoran Obradovic (CIBCB, 2012)

Mining Extremes: Severe Rainfall and Climate Change. - Debasish Das; Evan Kodra; Zoran Obradovic; Auroop R. Ganguly (ECAI, 2012)

Towards a DGSS Prototype for Early Warning for Ski Injuries. - Boris Delibasic; Zoran Obradovic (ICDE Workshops, 2012)

Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates. - Qiang Lou; Zoran Obradovic (ICDM, 2012)

Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data. - George Mathew; Zoran Obradovic (ICMLA (2), 2012)

Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. - Jelena Slivka; Ping Zhang 016; Aleksandar Kovacevic; Zora Konjovic; Zoran Obradovic (ICMLA (1), 2012)

Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. - Debasish Das; Auroop R. Ganguly; Snigdhansu Chatterjee; Vipin Kumar 001; Zoran Obradovic (IGARSS, 2012)

Understanding Cloud Data Using Approximate String Matching and Edit Distance. - Joseph Jupin; Justin Y. Shi; Zoran Obradovic (SC Companion, 2012)

Learning pair-wise gene functional similarity by multiplex gene expression maps. - Li An; Haibin Ling; Zoran Obradovic; Desmond J. Smith; Vasileios Megalooikonomou (BMC Bioinform., 2012)

Early classification of multivariate temporal observations by extraction of interpretable shapelets. - Mohamed F. Ghalwash; Zoran Obradovic (BMC Bioinform., 2012)

Reusable components in decision tree induction algorithms. - Milija Suknovic; Boris Delibasic; Milos Jovanovic 002; Milan Vukicevic; Dragana Becejski-Vujaklija; Zoran Obradovic (Comput. Stat., 2012)

DNA microarray SNP associations with clinical efficacy and side effects of domperidone treatment for gastroparesis. - Dairong Wang; Henry P. Parkman; Michael R. Jacobs; Anurag K. Mishra; Evgeny Krynetskiy; Zoran Obradovic (J. Biomed. Informatics, 2012)

Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval. - Kosta Ristovski; Slobodan Vucetic; Zoran Obradovic (IEEE Trans. Geosci. Remote. Sens., 2012)

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

Which links should I use?: a variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs. - Alexey Uversky; Dusan Ramljak; Vladan Radosavljevic; Kosta Ristovski; Zoran Obradovic (ASONAM, 2013)

Poster: Auto-reduction of features for containing communication costs in a distributed privacy-preserving clinical decision support system. - George Mathew; Zoran Obradovic (ICCABS, 2013)

Extraction of Interpretable Multivariate Patterns for Early Diagnostics. - Mohamed F. Ghalwash; Vladan Radosavljevic; Zoran Obradovic (ICDM, 2013)

Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment. - Mohamed F. Ghalwash; Vladan Radosavljevic; Zoran Obradovic (ICHI, 2013)

Improving Computational Efficiency for Personalized Medical Applications in Mobile Cloud Computing Environment. - George Mathew; Zoran Obradovic (ICHI, 2013)

Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions. - Gregor Stiglic; Adam Davey; Zoran Obradovic (ICHI, 2013)

Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources. - Ping Zhang 016; Pankaj Agarwal; Zoran Obradovic (ECML/PKDD (3), 2013)

Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics. - Ping Zhang 016; Weidan Cao; Zoran Obradovic (BMC Bioinform., 2013)

Classifying Temporal microarray Data by Selecting Informative genes. - Qiang Lou; Zoran Obradovic (J. Bioinform. Comput. Biol., 2013)

D2P2: database of disordered protein predictions. - Matt E. Oates; Pedro Romero; Takashi Ishida 002; Mohamed F. Ghalwash; Marcin J. Mizianty; Bin Xue; Zsuzsanna Dosztányi; Vladimir N. Uversky; Zoran Obradovic; Lukasz A. Kurgan; A. Keith Dunker; Julian Gough (Nucleic Acids Res., 2013)

Dynamic distributed predictive learning models that preserve privacy for hospitals with insufficient labeled data. - George Mathew; Zoran Obradovic (Netw. Model. Anal. Health Informatics Bioinform., 2013)

Distributed Privacy-Preserving Decision Support System for Highly Imbalanced Clinical Data. - George Mathew; Zoran Obradovic (ACM Trans. Manag. Inf. Syst., 2013)

Readmission Classification Using Stacked Regularized Logistic Regression Models. - Gregor Stiglic; Fei Wang 001; Adam Davey; Zoran Obradovic (AMIA, 2014)

Hospital pricing estimation by Gaussian conditional random fields based regression on graphs. - Athanasia Polychronopoulou; Zoran Obradovic (BIBM, 2014)

Predicting Sepsis Severity from Limited Temporal Observations. - Xi Hang Cao; Ivan Stojkovic; Zoran Obradovic (Discovery Science, 2014)

Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. - Mohamed F. Ghalwash; Vladan Radosavljevic; Zoran Obradovic (KDD, 2014)

Neural Gaussian Conditional Random Fields. - Vladan Radosavljevic; Slobodan Vucetic; Zoran Obradovic (ECML/PKDD (2), 2014)

Imputation of missing links and attributes in longitudinal social surveys. - Vladimir Ouzienko; Zoran Obradovic (Mach. Learn., 2014)

Panning for gold: using variograms to select useful connections in a temporal multigraph setting. - Alexey Uversky; Dusan Ramljak; Vladan Radosavljevic; Kosta Ristovski; Zoran Obradovic (Soc. Netw. Anal. Min., 2014)

Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. - Sandro Radovanovic; Milan Vukicevic; Ana Kovacevic; Gregor Stiglic; Zoran Obradovic (AIME, 2015)

Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses. - Dusan Ramljak; Adam Davey; Alexey Uversky; Shoumik Roychoudhury; Zoran Obradovic (AMIA, 2015)

A robust data scaling algorithm for gene expression classification. - Xi Hang Cao; Zoran Obradovic (BIBE, 2015)

False alarm suppression in early prediction of cardiac arrhythmia. - Shoumik Roychoudhury; Mohamed F. Ghalwash; Zoran Obradovic (BIBE, 2015)

Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. - Milan Vukicevic; Sandro Radovanovic; Ana Kovacevic; Gregor Stiglic; Zoran Obradovic (KMO, 2015)

Semi-supervised learning for structured regression on partially observed attributed graphs. - Jelena Stojanovic; Milos Jovanovic 002; Djordje Gligorijevic; Zoran Obradovic (SDM, 2015)

Guest editorial: Special issue on data mining for medicine and healthcare. - Fei Wang 001; Gregor Stiglic; Zoran Obradovic; Ian Davidson (Data Min. Knowl. Discov., 2015)

Patient-specific early classification of multivariate observations. - Mohamed F. Ghalwash; Dusan Ramljak; Zoran Obradovic (Int. J. Data Min. Bioinform., 2015)

A distributed decision support algorithm that preserves personal privacy. - George Mathew; Zoran Obradovic (J. Intell. Inf. Syst., 2015)

Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals. - Nemanja Djuric; Vladan Radosavljevic; Zoran Obradovic; Slobodan Vucetic (IEEE Geosci. Remote. Sens. Lett., 2015)

A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States. - Debasish Das; Auroop R. Ganguly; Zoran Obradovic (IEEE Trans. Geosci. Remote. Sens., 2015)

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 (AAAI, 2016)

A fast structured regression for large networks. - Fang Zhou; Mohamed F. Ghalwash; Zoran Obradovic (IEEE BigData, 2016)

Modeling Customer Engagement from Partial Observations. - Jelena Stojanovic; Djordje Gligorijevic; Zoran Obradovic (CIKM, 2016)

Shape Invariant Formulation for Change Point Models in Multiple Dimensions. - Jesse Glass; Zoran Obradovic (ECAI, 2016)

Risk Assessment of a Transmission Line Insulation Breakdown Due to Lightning and Severe Weather. - Tatjana Djokic; Payman Dehghanian; Po-Chen Chen; Mladen Kezunovic; Zenon Medina-Cetina; Jelena Stojanovic; Zoran Obradovic (HICSS, 2016)

Distance Based Modeling of Interactions in Structured Regression. - Ivan Stojkovic; Vladisav Jelisavcic; Veljko Milutinovic; Zoran Obradovic (IJCAI, 2016)

Joint Learning of Representation and Structure for Sparse Regression on Graphs. - Chao Han 003; Shanshan Zhang; Mohamed F. Ghalwash; Slobodan Vucetic; Zoran Obradovic (SDM, 2016)

Structured Regression on Multilayer Networks. - Athanasia Polychronopoulou; Zoran Obradovic (SDM, 2016)

Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification. - Tom Mirowski; Shoumik Roychoudhury; Fang Zhou; Zoran Obradovic (SocInfo (1), 2016)

A robust data scaling algorithm to improve classification accuracies in biomedical data. - Xi Hang Cao; Ivan Stojkovic; Zoran Obradovic (BMC Bioinform., 2016)

Structured feature selection using coordinate descent optimization. - Mohamed F. Ghalwash; Xi Hang Cao; Ivan Stojkovic; Zoran Obradovic (BMC Bioinform., 2016)

Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. - Hanghang Tong; Fei Wang 001; Munmun De Choudhury; Zoran Obradovic (ACM Trans. Knowl. Discov. Data, 2016)

Continuous Conditional Dependency Network for Structured Regression. - Chao Han 003; Mohamed F. Ghalwash; Zoran Obradovic (AAAI, 2017)

Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach. - Nouf Albarakati; Zoran Obradovic (CBMS, 2017)

Predicting Sepsis Biomarker Progression under Therapy. - Ivan Stojkovic; Zoran Obradovic (CBMS, 2017)

A temporal assessment of cyber intrusion chains using multidisciplinary frameworks and methodologies. - Aunshul Rege; Zoran Obradovic; Nima Asadi 003; Brian Singer; Nicholas Masceri (CyberSA, 2017)

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

Adaptive Skip-Train Structured Regression for Temporal Networks. - Martin Pavlovski; Fang Zhou; Ivan Stojkovic; Ljupco Kocarev; Zoran Obradovic (ECML/PKDD (2), 2017)

Cost Sensitive Time-Series Classification. - Shoumik Roychoudhury; Mohamed F. Ghalwash; Zoran Obradovic (ECML/PKDD (2), 2017)

Ranking Based Multitask Learning of Scoring Functions. - Ivan Stojkovic; Mohamed F. Ghalwash; Zoran Obradovic (ECML/PKDD (2), 2017)

Using a Real-Time Cybersecurity Exercise Case Study to Understand Temporal Characteristics of Cyberattacks. - Aunshul Rege; Zoran Obradovic; Nima Asadi 003; Edward Parker; Nicholas Masceri; Brian Singer; Rohan Pandit (SBP-BRiMS, 2017)

A Robust Descriptor for Color Texture Classification Under Varying Illumination. - Tamiris Trevisan Negri; Fang Zhou; Zoran Obradovic; Adilson Gonzaga (VISIGRAPP (4: VISAPP), 2017)

Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. - Milos D. Radovic; Mohamed F. Ghalwash; Nenad Filipovic; Zoran Obradovic (BMC Bioinform., 2017)

Sparse Learning of the Disease Severity Score for High-Dimensional Data. - Ivan Stojkovic; Zoran Obradovic (Complex., 2017)

Structured Regression on Multiscale Networks. - Jesse Glass; Zoran Obradovic (IEEE Intell. Syst., 2017)

Gaussian conditional random fields extended for directed graphs. - Tijana Vujicic; Jesse Glass; Fang Zhou; Zoran Obradovic (Mach. Learn., 2017)

Modeling Healthcare Quality via Compact Representations of Electronic Health Records. - Jelena Stojanovic; Djordje Gligorijevic; Vladan Radosavljevic; Nemanja Djuric; Mihajlo Grbovic; Zoran Obradovic (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Mining Skier Transportation Patterns From Ski Resort Lift Usage Data. - Boris Delibasic; Petar Markovic; Pavlos Delias; Zoran Obradovic (IEEE Trans. Hum. Mach. Syst., 2017)

Analysis of Adversarial Movement Through Characteristics of Graph Topological Ordering. - Nima Asadi 003; Aunshul Rege; Zoran Obradovic (CyberSA, 2018)

Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications. - Mladen Kezunovic; Zoran Obradovic; Tatjana Djokic; Shoumik Roychoudhury (HICSS, 2018)

Learning a Dynamic-Based Representation for Multivariate Biomarker Time Series Classifications. - Xi Hang Cao; Chao Han 003; Zoran Obradovic (ICHI, 2018)

Generalization-Aware Structured Regression towards Balancing Bias and Variance. - Martin Pavlovski; Fang Zhou; Nino Arsov; Ljupco Kocarev; Zoran Obradovic (IJCAI, 2018)

Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology. - Nima Asadi 003; Aunshul Rege; Zoran Obradovic (SBP-BRiMS, 2018)

Deep Attention Model for Triage of Emergency Department Patients. - Djordje Gligorijevic; Jelena Stojanovic; Wayne Satz; Ivan Stojkovic; Kraftin Schreyer; Daniel Del Portal; Zoran Obradovic (SDM, 2018)

Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. - Djordje Gligorijevic; Jelena Gligorijevic; Aravindan Raghuveer; Mihajlo Grbovic; Zoran Obradovic (SIGIR, 2018)

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

Editorial Message. - Zoran Obradovic (Big Data, 2018)

New Methods for Analyzing Complex Biomedical Systems and Signals. - Irini Reljin; Zoran Obradovic; Mirjana B. Popovic; Valeri M. Mladenov (Complex., 2018)

Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search. - Jelena Gligorijevic; Djordje Gligorijevic; Ivan Stojkovic; Xiao Bai 002; Amit Goyal; Zoran Obradovic (CoRR, 2018)

Improving confidence while predicting trends in temporal disease networks. - Djordje Gligorijevic; Jelena Stojanovic; Zoran Obradovic (CoRR, 2018)

Predicting Adversarial Cyber-Intrusion Stages Using Autoregressive Neural Networks. - Aunshul Rege; Zoran Obradovic; Nima Asadi 003; Edward Parker; Rohan Pandit; Nicholas Masceri; Brian Singer (IEEE Intell. Syst., 2018)

Fast learning of scale-free networks based on Cholesky factorization. - Vladisav Jelisavcic; Ivan Stojkovic; Veljko Milutinovic; Zoran Obradovic (Int. J. Intell. Syst., 2018)

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. - Lisa Singh; Amol Deshpande; Wenchao Zhou; Arindam Banerjee 001; Alex J. Bowers; Sorelle A. Friedler; H. V. Jagadish; George Karypis; Zoran Obradovic; Anil Vullikanti; Wangda Zuo (SIGMOD Rec., 2018)

Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models. - Milos Jordanski; Milos D. Radovic; Zarko Milosevic 002; Nenad Filipovic; Zoran Obradovic (IEEE J. Biomed. Health Informatics, 2018)

Surveying public opinion using label prediction on social media data. - Marija Stanojevic; Jumanah Alshehri; Zoran Obradovic (ASONAM, 2019)

Pattern discovery in intrusion chains and adversarial movement. - Nima Asadi 003; Aunshul Rege; Zoran Obradovic (CyberSA, 2019)

Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission. - Tatjana Dokic; Martin Pavlovski; Djordje Gligorijevic; Mladen Kezunovic; Zoran Obradovic (HICSS, 2019)

Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. - Chao Han 003; Xi Hang Cao; Marija Stanojevic; Mohamed F. Ghalwash; Zoran Obradovic (SDM, 2019)

Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification. - Shoumik Roychoudhury; Fang Zhou; Zoran Obradovic (SDM, 2019)

Biased News Data Influence on Classifying Social Media Posts. - Marija Stanojevic; Jumanah Alshehri; Eduard C. Dragut; Zoran Obradovic (NewsIR@SIGIR, 2019)

Further results on structured regression for multi-scale networks. - Milan Basic; Branko Arsic; Zoran Obradovic (CoRR, 2019)

Deeply supervised model for click-through rate prediction in sponsored search. - Jelena Gligorijevic; Djordje Gligorijevic; Ivan Stojkovic; Xiao Bai 002; Amit Goyal; Zoran Obradovic (Data Min. Knowl. Discov., 2019)

Multi-domain and multi-view networks model for clustering hospital admissions from the emergency department. - Nouf Albarakati; Zoran Obradovic (Int. J. Data Sci. Anal., 2019)

Optimizing clinical trials recruitment via deep learning. - Jelena Gligorijevic; Djordje Gligorijevic; Martin Pavlovski; Elizabeth Milkovits; Lucas Glass; Kevin Grier; Praveen Vankireddy; Zoran Obradovic (J. Am. Medical Informatics Assoc., 2019)

Time-to-event estimation by re-defining time. - Xi Hang Cao; Chao Han 003; Lucas M. Glass; Allen Kindman; Zoran Obradovic (J. Biomed. Informatics, 2019)

Social network analysis for better understanding of influenza. - Branimir Ljubic; Djordje Gligorijevic; Jelena Gligorijevic; Martin Pavlovski; Zoran Obradovic (J. Biomed. Informatics, 2019)

Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast. - Mohammad Alqudah 002; Tatjana Djokic; Mladen Kezunovic; Zoran Obradovic (HICSS, 2020)

Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning. - William Power; Martin Pavlovski; Daniel Saranovic; Ivan Stojkovic; Zoran Obradovic (AIAI (2), 2020)

Time-Aware User Embeddings as a Service. - Martin Pavlovski; Jelena Gligorijevic; Ivan Stojkovic; Shubham Agrawal; Shabhareesh Komirishetty; Djordje Gligorijevic; Narayan Bhamidipati; Zoran Obradovic (KDD, 2020)

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. - Branimir Ljubic; Shoumik Roychoudhury; Xi Hang Cao; Martin Pavlovski; Stefan Obradovic; Richard Nair; Lucas Glass; Zoran Obradovic (Comput. Methods Programs Biomed., 2020)

Extracting Entities and Topics from News and Connecting Criminal Records. - Quang Pham; Marija Stanojevic; Zoran Obradovic (CoRR, 2020)

Predicting complications of diabetes mellitus using advanced machine learning algorithms. - Branimir Ljubic; Ameen Abdel Hai; Marija Stanojevic; Wilson Diaz; Daniel Polimac; Martin Pavlovski; Zoran Obradovic (J. Am. Medical Informatics Assoc., 2020)

Use of disease embedding technique to predict the risk of progression to end-stage renal disease. - Fang Zhou; Avrum Gillespie; Djordje Gligorijevic; Jelena Gligorijevic; Zoran Obradovic (J. Biomed. Informatics, 2020)

On the dynamics of user engagement in news comment media. - Lihong He 001; Chao Han 003; Arjun Mukherjee; Zoran Obradovic; Eduard C. Dragut (WIREs Data Mining Knowl. Discov., 2020)

Distinguishability of graphs: a case for quantum-inspired measures. - Athanasia Polychronopoulou; Jumanah Alshehri; Zoran Obradovic (ASONAM, 2021)

Cosine similarity for multiplex network summarization. - Athanasia Polychronopoulou; Fang Zhou; Zoran Obradovic (ASONAM, 2021)

Stay on Topic, Please: Aligning User Comments to the Content of a News Article. - Jumanah Alshehri; Marija Stanojevic; Eduard C. Dragut; Zoran Obradovic (ECIR (1), 2021)

Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset using Big Data Analytics. - Rashid Baembitov; Tatjana Dokic; Mladen Kezunovic; Yi Hu; Zoran Obradovic (HICSS, 2021)

Transfer Learning for Event Detection From PMU Measurements With Scarce Labels. - Ameen Abdel Hai; Tatjana Dokic; Martin Pavlovski; Taif Mohamed; Daniel Saranovic; Mohammad Alqudah 002; Mladen Kezunovic; Zoran Obradovic (IEEE Access, 2021)

Interception of automated adversarial drone swarms in partially observed environments. - Daniel Saranovic; Martin Pavlovski; William Power; Ivan Stojkovic; Zoran Obradovic (Integr. Comput. Aided Eng., 2021)

DescribePROT: database of amino acid-level protein structure and function predictions. - 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; et al. (Nucleic Acids Res., 2021)

Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. - Martin Pavlovski; Mohammad Alqudah 002; Tatjana Dokic; Ameen Abdel Hai; Mladen Kezunovic; Zoran Obradovic (IEEE Trans. Instrum. Meas., 2021)

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 (AMIA, 2022)

Session-based News Recommendation from Temporal User Commenting Dynamics. - Chen Shen 009; Chao Han 003; Lihong He 001; Arjun Mukherjee; Zoran Obradovic; Eduard C. Dragut (ASONAM, 2022)

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 (DASFAA (2), 2022)

Line Faults Classification Using Machine Learning on Three Phase Voltages Extracted from Large Dataset of PMU Measurements. - Hussain Otudi; Tatjana Dokic; Taif Mohamed; Mladen Kezunovic; Yi Hu; Zoran Obradovic (HICSS, 2022)

On Label Quality in Class Imbalance Setting -A Case Study. - Jumanah Alshehri; Marija Stanojevic; Eduard C. Dragut; Zoran Obradovic (ICMLA, 2022)

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 (ICMLA, 2022)

Software package for regression algorithms based on Gaussian Conditional Random Fields. - Tijana Markovic; Vladan Devedzic; Fang Zhou; Zoran Obradovic (ICMLA, 2022)

Predicting anxiety treatment outcomes with machine learning. - Marija Stanojevic; Lesley A. Norris; Philip C. Kendall; Zoran Obradovic (ICMLA, 2022)

Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels. - Zoran Obradovic (IoTBDS, 2022)

Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis. - Taif Mohamed; Mladen Kezunovic; Zoran Obradovic; Yi Hu; Zheyuan Cheng (ISGT-Europe, 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 (ECML/PKDD (2), 2022)

Leveraging Dependencies among Learned Temporal Subsequences. - Shoumik Roychoudhury; Fang Zhou; Zoran Obradovic (SDM, 2022)

Call for Papers: Big Data. - Zoran Obradovic (Big Data, 2022)

Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification. - Fang Zhou; Suting Gao; Lyu Ni; Martin Pavlovski; Qiwen Dong; Zoran Obradovic; Weining Qian (Data Min. Knowl. Discov., 2022)

Another estimation of Laplacian spectrum of the Kronecker product of graphs. - Milan Basic; Branko Arsic; Zoran Obradovic (Inf. Sci., 2022)

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 (AIME, 2023)

Classifying Severe Weather Events by Utilizing Social Sensor Data and Social Network Analysis. - Hussain Otudi; Shelly Gupta 001; Nouf Albarakati; Zoran Obradovic (ASONAM, 2023)

Understanding Online Attitudes with Pre-Trained Language Models. - William Power; Zoran Obradovic (ASONAM, 2023)

Training Machine Learning Models with Simulated Data for Improved Line Fault Events Classification From 3-Phase PMU Field Recordings. - Hussain Otudi; Taif Mohamed; Mladen Kezunovic; Yi Hu; Zoran Obradovic (HICSS, 2023)

Social Media Sensors for Weather-Caused Outage Prediction Based on Spatio-Temporal Multiplex Network Representation. - Rafaa Aljurbua; Jumanah Alshehri; Abdulrahman Alharbi; William Power; Zoran Obradovic (IEEE Access, 2023)

Automated Power System Fault Prediction and Precursor Discovery Using Multi-Modal Data. - Mohammad Alqudah 002; Mladen Kezunovic; Zoran Obradovic (IEEE Access, 2023)

Enhancing Weather-Related Outage Prediction and Precursor Discovery Through Attention-Based Multi-Level Modeling. - Mohammad Alqudah 002; Zoran Obradovic (IEEE Access, 2023)

Aligning Comments to News Articles on a Budget. - Jumanah Alshehri; Martin Pavlovski; Eduard C. Dragut; Zoran Obradovic (IEEE Access, 2023)

Incorporating Wind Modeling Into Electric Grid Outage Risk Prediction and Mitigation Solution. - Rashid Baembitov; Mladen Kezunovic; Keith A. Brewster; Zoran Obradovic (IEEE Access, 2023)

Discovering research articles containing evolutionary timetrees by machine learning. - Marija Stanojevic; Jovan Andjelkovic; Adrienne Kasprowicz; Louise A. Huuki; Jennifer Chao; S. Blair Hedges; Sudhir Kumar 001; Zoran Obradovic (Bioinform., 2023)

Quantum-inspired measures of network distinguishability. - Athanasia Polychronopoulou; Jumanah Alshehri; Zoran Obradovic (Soc. Netw. Anal. Min., 2023)

Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. - Hussain Otudi; Shelly Gupta 001; Zoran Obradovic (EANN, 2024)

Exploring Topic-Related User Experiences Through Social Graph. - Shelly Gupta 001; Ameen Abdel Hai; Abdulrahman Alharbi; Hussain Otudi; Zoran Obradovic (ECIS, 2024)

Sensitivity Analysis of Machine Learning Algorithms for Outage Risk Prediction. - Rashid Baembitov; Mladen Kezunovic; Daniel Saranovic; Zoran Obradovic (HICSS, 2024)

Node2VecFuseClassifier: Bridging Perspectives in Modeling Transplantation Attitudes Among Dialysis Patients. - Rafaa Aljurbua; Avrum Gillespie; Jumanah Alshehri; Abdulrahman Alharbi; Nouf Albarakati; Zoran Obradovic (ICHI, 2024)

AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT. - Abdulrahman Alharbi; Ameen Abdel Hai; Rafaa Aljurbua; Zoran Obradovic (AIAI (2), 2024)

From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering. - Shelly Gupta 001; Jumanah Alshehri; Ameen Abdel Hai; Hussain Otudi; Zoran Obradovic (AIAI (4), 2024)

Generating Profiles of News Commentators with Language Models. - William Power; Zoran Obradovic (AIAI (2), 2024)

Domain generalization for enhanced predictions of hospital readmission on unseen domains among patients with diabetes. - 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 (Artif. Intell. Medicine, 2024)

Disaster Data-Driven Forecasting for Preemptive Crisis Response. - Zafeer Lambe; Jumanah S. Alshehri; Zoran Obradovic (AIAI (2), 2025)

PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning. - Christos Petridis; Abhudaya Shrivastava; Marijana Vacic; Zoran Obradovic (AIAI (3), 2025)

Summarizing Online Discussions with Prototype Relation Networks Using Large Language Models. - William Power; Shelly Gupta 001; Zoran Obradovic (AIAI (4), 2025)

Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis. - Shelly Gupta 001; Hussain Otudi; Ameen Abdel Hai; Rafaa Aljurbua; Jovan Andjelkovic; Abdulrahman Alharbi; Zoran Obradovic (EANN (2), 2025)

Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids. - Rafaa Aljurbua; Rashid Baembitov; Christos Petridis; Daniel Saranovic; Mladen Kezunovic; Zoran Obradovic (EANN (2), 2025)

Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis. - Hussain Otudi; Shelly Gupta 001; Ameen Abdel Hai; Rafaa Aljurbua; Abdulrahman Alharbi; Zoran Obradovic (EANN (1), 2025)

Autonomous Navigation in Swarm of UAVs Using Spatio Temporal Data and Constrained-Reinforcement Learning. - Abhudaya Shrivastava; Christos Petridis; Marijana Vacic; Zoran Obradovic (EANN (2), 2025)