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

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

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

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

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)

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

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

Accuracy-Optimized Quantization for High-Dimensional Data Fusion. - Slobodan Vucetic (DCC, 2005)

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

A Fast Algorithm for Lossless Compression of Data Tables by Reordering. - Slobodan Vucetic (DCC, 2006)

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

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

A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation. - Vuk Malbasa; Slobodan Vucetic (IJCNN, 2007)

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)

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 Multi-task Feature Selection Filter for Microarray Classification. - Liang Lan; Slobodan Vucetic (BIBM, 2009)

Decentralized Estimation Using Learning Vector Quantization. - Mihajlo Grbovic; Slobodan Vucetic (DCC, 2009)

Compressed Kernel Perceptrons. - Slobodan Vucetic; Vladimir Coric; Zhuang Wang (DCC, 2009)

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

Regression Learning Vector Quantization. - Mihajlo Grbovic; Slobodan Vucetic (ICDM, 2009)

Fast Online Training of Ramp Loss Support Vector Machines. - Zhuang Wang; Slobodan Vucetic (ICDM, 2009)

Learning Vector Quantization with adaptive prototype addition and removal. - Mihajlo Grbovic; Slobodan Vucetic (IJCNN, 2009)

Tighter Perceptron with improved dual use of cached data for model representation and validation. - Zhuang Wang; Slobodan Vucetic (IJCNN, 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)

Twin Vector Machines for Online Learning on a Budget. - Zhuang Wang; Slobodan Vucetic (SDM, 2009)

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

Multi-Class Pegasos on a Budget. - Zhuang Wang; Koby Crammer; Slobodan Vucetic (ICML, 2010)

Online Passive-Aggressive Algorithms on a Budget. - Zhuang Wang; Slobodan Vucetic (AISTATS, 2010)

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

Online training on a budget of support vector machines using twin prototypes. - Zhuang Wang; Slobodan Vucetic (Stat. Anal. Data Min., 2010)

Traffic speed forecasting by mixture of experts. - Vladimir Coric; Zhuang Wang; Slobodan Vucetic (ITSC, 2011)

Spatially regularized logistic regression for disease mapping on large moving populations. - Vuk Malbasa; Slobodan Vucetic (KDD, 2011)

Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification. - Zhuang Wang; Nemanja Djuric; Koby Crammer; Slobodan Vucetic (KDD, 2011)

Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss. - Mihajlo Grbovic; Slobodan Vucetic (ECML/PKDD (1), 2011)

Improving accuracy of microarray classification by a simple multi-task feature selection filter. - Liang Lan; Slobodan Vucetic (Int. J. Data Min. Bioinform., 2011)

Active Learning Based on Parzen Window. - Liang Lan; Haidong Shi; Zhuang Wang; Slobodan Vucetic (Active Learning and Experimental Design @ AISTATS, 2011)

Convex Kernelized Sorting. - Nemanja Djuric; Mihajlo Grbovic; Slobodan Vucetic (AAAI, 2012)

Sparse Principal Component Analysis with Constraints. - Mihajlo Grbovic; Christopher R. Dance; Slobodan Vucetic (AAAI, 2012)

A connectivity-based popularity prediction approach for social networks. - Huangmao Quan; Ana Milicic; Slobodan Vucetic; Jie Wu 001 (ICC, 2012)

Supervised Clustering of Label Ranking Data. - Mihajlo Grbovic; Nemanja Djuric; Slobodan Vucetic (SDM, 2012)

Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training. - Zhuang Wang; Koby Crammer; Slobodan Vucetic (J. Mach. Learn. Res., 2012)

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

Mixture Model for Multiple Instance Regression and Applications in Remote Sensing. - Zhuang Wang; Liang Lan; Slobodan Vucetic (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)

Distributed confidence-weighted classification on MapReduce. - Nemanja Djuric; Mihajlo Grbovic; Slobodan Vucetic (IEEE BigData, 2013)

Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization. - Nemanja Djuric; Slobodan Vucetic (ICDM, 2013)

Semi-Supervised Learning for Integration of Aerosol Predictions from Multiple Satellite Instruments. - Nemanja Djuric; Lakesh Kansakar; Slobodan Vucetic (IJCAI, 2013)

Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation. - Mihajlo Grbovic; Nemanja Djuric; Slobodan Vucetic (IJCAI, 2013)

MS-kNN: protein function prediction by integrating multiple data sources. - Liang Lan; Nemanja Djuric; Yuhong Guo; Slobodan Vucetic (BMC Bioinform., 2013)

BudgetedSVM: a toolbox for scalable SVM approximations. - Nemanja Djuric; Liang Lan; Slobodan Vucetic; Zhuang Wang (J. Mach. Learn. Res., 2013)

Supervised clustering of label ranking data using label preference information. - Mihajlo Grbovic; Nemanja Djuric; Shengbo Guo; Slobodan Vucetic (Mach. Learn., 2013)

Decentralized Estimation using distortion sensitive learning vector quantization. - Mihajlo Grbovic; Slobodan Vucetic (Pattern Recognit. Lett., 2013)

Cold Start Approach for Data-Driven Fault Detection. - Mihajlo Grbovic; Weichang Li; Niranjan A. Subrahmanya; Adam K. Usadi; Slobodan Vucetic (IEEE Trans. Ind. Informatics, 2013)

Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests. - Nemanja Djuric; Mihajlo Grbovic; Vladan Radosavljevic; Narayan Bhamidipati; Slobodan Vucetic (AAAI, 2014)

Spatial Scan for Disease Mapping on a Mobile Population. - Liang Lan; Vuk Malbasa; Slobodan Vucetic (AAAI, 2014)

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

Frugal Traffic Monitoring with Autonomous Participatory Sensing. - Vladimir Coric; Nemanja Djuric; Slobodan Vucetic (SDM, 2014)

Generating ad targeting rules using sparse principal component analysis with constraints. - Mihajlo Grbovic; Slobodan Vucetic (WWW (Companion Volume), 2014)

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

Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines. - Kai Zhang 001; Liang Lan; James T. Kwok; Slobodan Vucetic; Bahram Parvin (IEEE Trans. Neural Networks Learn. Syst., 2015)

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)

Sampling Bias in LinkedIn: A Case Study. - Shanshan Zhang; Slobodan Vucetic (WWW (Companion Volume), 2016)

Semi-supervised combination of experts for aerosol optical depth estimation. - Nemanja Djuric; Lakesh Kansakar; Slobodan Vucetic (Artif. Intell., 2016)

Semi-supervised Discovery of Informative Tweets During the Emerging Disasters. - Shanshan Zhang; Slobodan Vucetic (CoRR, 2016)

Joint learning of representations of medical concepts and words from EHR data. - Tian Bai 001; Ashis Kumar Chanda; Brian L. Egleston; Slobodan Vucetic (BIBM, 2017)

Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs. - Slobodan Vucetic; Ashis Kumar Chanda; Shanshan Zhang; Tian Bai 001; Aniruddha Maiti (CoRR, 2017)

Regular Expression Guided Entity Mention Mining from Noisy Web Data. - Shanshan Zhang; Lihong He 001; Slobodan Vucetic; Eduard C. Dragut (EMNLP, 2018)

Enhancing Disaster Situational Awareness via Automated Summary Dissemination of Social Media Content. - Shanshan Zhang; Amitangshu Pal; Krishna Kant 001; Slobodan Vucetic (GLOBECOM, 2018)

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. - Tian Bai 001; Shanshan Zhang; Brian L. Egleston; Slobodan Vucetic (KDD, 2018)

Peer assessment of CS doctoral programs shows strong correlation with faculty citations. - Slobodan Vucetic; Ashis Kumar Chanda; Shanshan Zhang; Tian Bai 001; Aniruddha Maiti (Commun. ACM, 2018)

EHR phenotyping via jointly embedding medical concepts and words into a unified vector space. - Tian Bai 001; Ashis Kumar Chanda; Brian L. Egleston; Slobodan Vucetic (BMC Medical Informatics Decis. Mak., 2018)

Spatial Aggregation Facilitates Discovery of Spatial Topics. - Aniruddha Maiti; Slobodan Vucetic (ACL (1), 2019)

Medical Concept Representation Learning from Multi-source Data. - Tian Bai 001; Brian L. Egleston; Richard Bleicher; Slobodan Vucetic (IJCAI, 2019)

How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction. - Shanshan Zhang; Lihong He 001; Eduard C. Dragut; Slobodan Vucetic (KDD, 2019)

Storage on the Edge: Evaluating Cloud Backed Edge Storage in Cyberphysical Systems. - Sanjeev Sondur; Krishna Kant 001; Slobodan Vucetic; Brandon Byers (MASS, 2019)

Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources. - Tian Bai 001; Slobodan Vucetic (WWW, 2019)

A new clustering and nomenclature for beta turns derived from high-resolution protein structures. - Maxim V. Shapovalov; Slobodan Vucetic; Roland L. Dunbrack Jr. (PLoS Comput. Biol., 2019)

Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models. - Phong Ha; Shanshan Zhang; Nemanja Djuric; Slobodan Vucetic (COLING, 2020)

Growing Adaptive Multi-hyperplane Machines. - Nemanja Djuric; Zhuang Wang; Slobodan Vucetic (ICML, 2020)

Cannot Predict Comment Volume of a News Article before (a few) Users Read It. - Lihong He 001; Chen Shen 009; Arjun Mukherjee; Slobodan Vucetic; Eduard C. Dragut (ICWSM, 2021)

Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization. - Hongchang Gao; Hanzi Xu; Slobodan Vucetic (IJCAI, 2021)

Data Science with Human in the Loop. - Eduard C. Dragut; Yunyao Li 001; Lucian Popa 001; Slobodan Vucetic (KDD, 2021)

Multi-Modal Trajectory Prediction of NBA Players. - Sandro Hauri; Nemanja Djuric; Vladan Radosavljevic; Slobodan Vucetic (WACV, 2021)

Learning Semi-Structured Representations of Radiology Reports. - Tamara Katic; Martin Pavlovski; Danijela Sekulic; Slobodan Vucetic (CoRR, 2021)

MERIT: Minimal SupErvision Through Label Augmentation For Biomedical RelatIon ExTraction. - Saman Enayati; Slobodan Vucetic (AMIA, 2022)

OpenStance: Real-world Zero-shot Stance Detection. - Hanzi Xu; Slobodan Vucetic; Wenpeng Yin 001 (CoNLL, 2022)

Improving medical term embeddings using UMLS Metathesaurus. - Ashis Kumar Chanda; Tian Bai 001; Ziyu Yang; Slobodan Vucetic (BMC Medical Informatics Decis. Mak., 2022)

Data Augmentation for Radiology Report Simplification. - Ziyu Yang; Santhosh Cherian; Slobodan Vucetic (EACL (Findings), 2023)

Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). - Sandro Hauri; Slobodan Vucetic (ECAI, 2023)

Scholar Ranking 2023: Ranking of Computer Science Departments Based on Faculty Citations. - Sai Shi; Aniruddha Maiti; Ashis Kumar Chanda; Slobodan Vucetic (CoRR, 2023)

An ablation study on the use of publication venue quality to rank computer science departments. - Aniruddha Maiti; Sai Shi; Slobodan Vucetic (Scientometrics, 2023)

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. - Hanzi Xu; Muhao Chen 001; Lifu Huang; Slobodan Vucetic; Wenpeng Yin 001 (ACL (Findings), 2024)

Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification. - Ziyu Yang; Santhosh Cherian; Slobodan Vucetic (ACL (Findings), 2024)

Collaborative Job Seeking for People with Autism: Challenges and Design Opportunities. - Zinat Ara; Amrita Ganguly; Donna Peppard; Dongjun Chung; Slobodan Vucetic; Vivian Genaro Motti; Sungsoo Ray Hong (CHI, 2024)

CourtsightTV: An Interactive Visualization Software for Labeling Key Basketball Moments. - Alexander Russakoff; Kenny Miller; Vahid Mahzoon; Parsa Esmaeilkhani; Christine Cho; Jaffar Alzeidi; Sandro Hauri; Slobodan Vucetic (CIKM, 2024)

LLMs' Classification Performance is Overclaimed. - Hanzi Xu; Renze Lou; Jiangshu Du; Vahid Mahzoon; Elmira Talebianaraki; Zhuoan Zhou; Elizabeth Garrison; Slobodan Vucetic; Wenpeng Yin 001 (CoRR, 2024)

Leveraging shortest dependency paths in low-resource biomedical relation extraction. - Saman Enayati; Slobodan Vucetic (BMC Medical Informatics Decis. Mak., 2024)

Towards a Unified Few-Shot Learning Evaluation Framework for RF Fingerprinting. - Sai Shi; Vahid Mahzoon; Xuyu Wang; Shiwen Mao; Jie Wu; Slobodan Vucetic (ICCCN, 2025)

Exploring Engagement Opportunities for Autistic Children: Using AAC as a Controller in a Wizard-of-Oz Coloring Game. - Elizabeth Garrison; Stephen MacNeil; Elizabeth R. Lorah; Christine Holyfield; Slobodan Vucetic (Proc. ACM Hum. Comput. Interact., 2025)