| 2026 | CHI | Lost in Translation: Understanding Autistic-Neurotypical Communication Style Differences in Job Postings. | Huining Feng, Zinat Ara, Andrew Hundt, Slobodan Vucetic, John Joon Young Chung, Sungsoo Ray Hong |
| 2025 | ICCCN | Towards a Unified Few-Shot Learning Evaluation Framework for RF Fingerprinting. | Sai Shi, Vahid Mahzoon, Xuyu Wang, Shiwen Mao, Jie Wu, Slobodan Vucetic |
| 2025 | IJCAI | Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework. | Vahid Mahzoon, Abigail Liu, Slobodan Vucetic |
| 2024 | ACL | X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. | Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin |
| 2024 | ACL | Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification. | Ziyu Yang, Santhosh Cherian, Slobodan Vucetic |
| 2024 | CHI | 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 |
| 2024 | CIKM | 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 |
| 2023 | EACL | Data Augmentation for Radiology Report Simplification. | Ziyu Yang, Santhosh Cherian, Slobodan Vucetic |
| 2023 | ECAI | Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). | Sandro Hauri, Slobodan Vucetic |
| 2022 | AMIA | MERIT: Minimal SupErvision Through Label Augmentation For Biomedical RelatIon ExTraction. | Saman Enayati, Slobodan Vucetic |
| 2022 | CoNLL | OpenStance: Real-world Zero-shot Stance Detection. | Hanzi Xu, Slobodan Vucetic, Wenpeng Yin |
| 2021 | IJCAI | Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization. | Hongchang Gao, Hanzi Xu, Slobodan Vucetic |
| 2021 | ICWSM | Cannot Predict Comment Volume of a News Article before (a few) Users Read It. | Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut |
| 2021 | KDD | Data Science with Human in the Loop. | Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic |
| 2021 | WACV | Multi-Modal Trajectory Prediction of NBA Players. | Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic |
| 2020 | COLING | Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models. | Phong Ha, Shanshan Zhang, Nemanja Djuric, Slobodan Vucetic |
| 2020 | ICML | Growing Adaptive Multi-hyperplane Machines. | Nemanja Djuric, Zhuang Wang, Slobodan Vucetic |
| 2019 | ACL | Spatial Aggregation Facilitates Discovery of Spatial Topics. | Aniruddha Maiti, Slobodan Vucetic |
| 2019 | IJCAI | Medical Concept Representation Learning from Multi-source Data. | Tian Bai, Brian L. Egleston, Richard Bleicher, Slobodan Vucetic |
| 2019 | KDD | How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction. | Shanshan Zhang, Lihong He, Eduard C. Dragut, Slobodan Vucetic |
| 2019 | MASS | Storage on the Edge: Evaluating Cloud Backed Edge Storage in Cyberphysical Systems. | Sanjeev Sondur, Krishna Kant, Slobodan Vucetic, Brandon Byers |
| 2019 | WWW | Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources. | Tian Bai, Slobodan Vucetic |
| 2018 | EMNLP | Regular Expression Guided Entity Mention Mining from Noisy Web Data. | Shanshan Zhang, Lihong He, Slobodan Vucetic, Eduard C. Dragut |
| 2018 | GLOBECOM | Enhancing Disaster Situational Awareness via Automated Summary Dissemination of Social Media Content. | Shanshan Zhang, Amitangshu Pal, Krishna Kant, Slobodan Vucetic |
| 2018 | KDD | Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. | Tian Bai, Shanshan Zhang, Brian L. Egleston, Slobodan Vucetic |
| 2016 | WWW | Sampling Bias in LinkedIn: A Case Study. | Shanshan Zhang, Slobodan Vucetic |
| 2016 | SDM | Joint Learning of Representation and Structure for Sparse Regression on Graphs. | Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic |
| 2014 | AAAI | Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests. | Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic |
| 2014 | AAAI | Spatial Scan for Disease Mapping on a Mobile Population. | Liang Lan, Vuk Malbasa, Slobodan Vucetic |
| 2014 | WWW | Generating ad targeting rules using sparse principal component analysis with constraints. | Mihajlo Grbovic, Slobodan Vucetic |
| 2014 | SDM | Frugal Traffic Monitoring with Autonomous Participatory Sensing. | Vladimir Coric, Nemanja Djuric, Slobodan Vucetic |
| 2013 | AAAI | Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. | Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2013 | ICDM | Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization. | Nemanja Djuric, Slobodan Vucetic |
| 2013 | IJCAI | Semi-Supervised Learning for Integration of Aerosol Predictions from Multiple Satellite Instruments. | Nemanja Djuric, Lakesh Kansakar, Slobodan Vucetic |
| 2013 | IJCAI | Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation. | Mihajlo Grbovic, Nemanja Djuric, Slobodan Vucetic |
| 2012 | AAAI | Convex Kernelized Sorting. | Nemanja Djuric, Mihajlo Grbovic, Slobodan Vucetic |
| 2012 | AAAI | Sparse Principal Component Analysis with Constraints. | Mihajlo Grbovic, Christopher R. Dance, Slobodan Vucetic |
| 2012 | SDM | Supervised Clustering of Label Ranking Data. | Mihajlo Grbovic, Nemanja Djuric, Slobodan Vucetic |
| 2011 | KDD | Spatially regularized logistic regression for disease mapping on large moving populations. | Vuk Malbasa, Slobodan Vucetic |
| 2011 | KDD | Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification. | Zhuang Wang, Nemanja Djuric, Koby Crammer, Slobodan Vucetic |
| 2010 | ECAI | Continuous Conditional Random Fields for Regression in Remote Sensing. | Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2010 | ICML | Multi-Class Pegasos on a Budget. | Zhuang Wang, Koby Crammer, Slobodan Vucetic |
| 2009 | DCC | Decentralized Estimation Using Learning Vector Quantization. | Mihajlo Grbovic, Slobodan Vucetic |
| 2009 | DCC | Compressed Kernel Perceptrons. | Slobodan Vucetic, Vladimir Coric, Zhuang Wang |
| 2009 | ICDM | Active Selection of Sensor Sites in Remote Sensing Applications. | Debasish Das, Zoran Obradovic, Slobodan Vucetic |
| 2009 | ICDM | Regression Learning Vector Quantization. | Mihajlo Grbovic, Slobodan Vucetic |
| 2009 | ICDM | Fast Online Training of Ramp Loss Support Vector Machines. | Zhuang Wang, Slobodan Vucetic |
| 2009 | IJCNN | Learning Vector Quantization with adaptive prototype addition and removal. | Mihajlo Grbovic, Slobodan Vucetic |
| 2009 | IJCNN | Tighter Perceptron with improved dual use of cached data for model representation and validation. | Zhuang Wang, Slobodan Vucetic |
| 2009 | KDD | Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. | Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2009 | SDM | Twin Vector Machines for Online Learning on a Budget. | Zhuang Wang, Slobodan Vucetic |
| 2008 | IGARSS | Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation. | Debasish Das, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2008 | SDM | Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. | Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic |
| 2007 | IJCNN | A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation. | Vuk Malbasa, Slobodan Vucetic |
| 2006 | DCC | A Fast Algorithm for Lossless Compression of Data Tables by Reordering. | Slobodan Vucetic |
| 2006 | IGARSS | Data Mining Support for the Improvement of MODIS Aerosol Retrievals. | Bo Han, Zoran Obradovic, Zhanquing Li, Slobodan Vucetic |
| 2005 | DCC | Accuracy-Optimized Quantization for High-Dimensional Data Fusion. | Slobodan Vucetic |
| 2005 | SDM | Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. | Kang Peng, Slobodan Vucetic, Zoran Obradovic |
| 2004 | ECAI | Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. | Kang Peng, Zoran Obradovic, Slobodan Vucetic |
| 2004 | PSB | Exploring Bias in the Protein Data Bank Using Contrast Classifiers. | Kang Peng, Zoran Obradovic, Slobodan Vucetic |
| 2003 | ICDM | Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. | Kang Peng, Slobodan Vucetic, Bo Han, Hongbo M. Xie, Zoran Obradovic |
| 2003 | SDM | Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. | Slobodan Vucetic, Dragoljub Pokrajac, Hongbo M. Xie, Zoran Obradovic |
| 2000 | ICML | Discovering Homogeneous Regions in Spatial Data through Competition. | Slobodan Vucetic, Zoran Obradovic |
| 2000 | PAKDD | Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. | Slobodan Vucetic, Zoran Obradovic |
| 1999 | IJCNN | A data partitioning scheme for spatial regression. | Slobodan Vucetic, Tim Fiez, Zoran Obradovic |