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Slobodan Vucetic
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2020 – today
- 2024
- [j27]Saman Enayati, Slobodan Vucetic:
Leveraging shortest dependency paths in low-resource biomedical relation extraction. BMC Medical Informatics Decis. Mak. 24(4): 205 (2024) - [c71]Zinat Ara
, Amrita Ganguly
, Donna Peppard
, Dongjun Chung
, Slobodan Vucetic
, Vivian Genaro Motti
, Sungsoo Ray Hong
:
Collaborative Job Seeking for People with Autism: Challenges and Design Opportunities. CHI 2024: 73:1-73:17 - [i13]Zinat Ara, Amrita Ganguly, Donna Peppard, Dongjun Chung, Slobodan Vucetic, Vivian Genaro Motti
, Sungsoo Ray Hong:
Collaborative Job Seeking for People with Autism: Challenges and Design Opportunities. CoRR abs/2403.01715 (2024) - [i12]Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin
:
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. CoRR abs/2403.03863 (2024) - [i11]Hanzi Xu, Renze Lou, Jiangshu Du, Vahid Mahzoon, Elmira Talebianaraki, Zhuoan Zhou, Elizabeth Garrison, Slobodan Vucetic, Wenpeng Yin:
LLMs' Classification Performance is Overclaimed. CoRR abs/2406.16203 (2024) - [i10]Ziyu Yang, Santhosh Cherian, Slobodan Vucetic:
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification. CoRR abs/2406.18859 (2024) - 2023
- [j26]Aniruddha Maiti
, Sai Shi, Slobodan Vucetic:
An ablation study on the use of publication venue quality to rank computer science departments. Scientometrics 128(8): 4197-4218 (2023) - [c70]Ziyu Yang, Santhosh Cherian, Slobodan Vucetic:
Data Augmentation for Radiology Report Simplification. EACL (Findings) 2023: 1877-1887 - [c69]Sandro Hauri, Slobodan Vucetic:
Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). ECAI 2023: 1012-1019 - [i9]Sai Shi, Aniruddha Maiti, Ashis Kumar Chanda, Slobodan Vucetic:
Scholar Ranking 2023: Ranking of Computer Science Departments Based on Faculty Citations. CoRR abs/2301.03140 (2023) - 2022
- [j25]Ashis Kumar Chanda
, Tian Bai, Ziyu Yang, Slobodan Vucetic
:
Improving medical term embeddings using UMLS Metathesaurus. BMC Medical Informatics Decis. Mak. 22(1): 114 (2022) - [c68]Saman Enayati, Slobodan Vucetic:
MERIT: Minimal SupErvision Through Label Augmentation For Biomedical RelatIon ExTraction. AMIA 2022 - [c67]Hanzi Xu, Slobodan Vucetic, Wenpeng Yin:
OpenStance: Real-world Zero-shot Stance Detection. CoNLL 2022: 314-324 - [i8]Sandro Hauri, Slobodan Vucetic:
Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). CoRR abs/2209.00451 (2022) - [i7]Hanzi Xu, Slobodan Vucetic, Wenpeng Yin:
OpenStance: Real-world Zero-shot Stance Detection. CoRR abs/2210.14299 (2022) - 2021
- [c66]Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut:
Cannot Predict Comment Volume of a News Article before (a few) Users Read It. ICWSM 2021: 173-184 - [c65]Hongchang Gao, Hanzi Xu, Slobodan Vucetic:
Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization. IJCAI 2021: 3501-3507 - [c64]Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic:
Data Science with Human in the Loop. KDD 2021: 4123-4124 - [c63]Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic:
Multi-Modal Trajectory Prediction of NBA Players. WACV 2021: 1639-1648 - [e2]Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic:
3rd Workshop on Data Science with Human in the Loop, DaSH@KDD, Virtual Conference, August 15, 2021. 2021 [contents] - [i6]Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic:
Learning Semi-Structured Representations of Radiology Reports. CoRR abs/2112.10746 (2021) - 2020
- [c62]Phong Ha, Shanshan Zhang, Nemanja Djuric, Slobodan Vucetic:
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models. COLING 2020: 1204-1213 - [c61]Nemanja Djuric, Zhuang Wang, Slobodan Vucetic:
Growing Adaptive Multi-hyperplane Machines. ICML 2020: 2567-2576 - [e1]Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic:
1st Workshop on Data Science with Human in the Loop, DaSH@KDD 2020, San Diego, California, USA, August 24, 2020. 2020 [contents] - [i5]Lihong He, Chen Shen
, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut:
Cannot Predict Comment Volume of a News Article before (a few) Users Read It. CoRR abs/2008.06414 (2020) - [i4]Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic:
Multi-Modal Trajectory Prediction of NBA Players. CoRR abs/2008.07870 (2020)
2010 – 2019
- 2019
- [j24]Maxim V. Shapovalov
, Slobodan Vucetic, Roland L. Dunbrack Jr.
:
A new clustering and nomenclature for beta turns derived from high-resolution protein structures. PLoS Comput. Biol. 15(3) (2019) - [c60]Aniruddha Maiti, Slobodan Vucetic:
Spatial Aggregation Facilitates Discovery of Spatial Topics. ACL (1) 2019: 252-262 - [c59]Tian Bai, Brian L. Egleston
, Richard Bleicher, Slobodan Vucetic:
Medical Concept Representation Learning from Multi-source Data. IJCAI 2019: 4897-4903 - [c58]Shanshan Zhang, Lihong He, Eduard C. Dragut, Slobodan Vucetic:
How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction. KDD 2019: 2305-2313 - [c57]Sanjeev Sondur, Krishna Kant, Slobodan Vucetic, Brandon Byers:
Storage on the Edge: Evaluating Cloud Backed Edge Storage in Cyberphysical Systems. MASS 2019: 362-370 - [c56]Tian Bai, Slobodan Vucetic:
Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources. WWW 2019: 72-82 - 2018
- [j23]Slobodan Vucetic, Ashis Kumar Chanda
, Shanshan Zhang, Tian Bai, Aniruddha Maiti
:
Peer assessment of CS doctoral programs shows strong correlation with faculty citations. Commun. ACM 61(9): 70-76 (2018) - [j22]Tian Bai, Ashis Kumar Chanda
, Brian L. Egleston
, Slobodan Vucetic:
EHR phenotyping via jointly embedding medical concepts and words into a unified vector space. BMC Medical Informatics Decis. Mak. 18(S-4): 15-25 (2018) - [c55]Shanshan Zhang, Lihong He, Slobodan Vucetic, Eduard C. Dragut:
Regular Expression Guided Entity Mention Mining from Noisy Web Data. EMNLP 2018: 1991-2000 - [c54]Shanshan Zhang, Amitangshu Pal, Krishna Kant, Slobodan Vucetic:
Enhancing Disaster Situational Awareness via Automated Summary Dissemination of Social Media Content. GLOBECOM 2018: 1-7 - [c53]Tian Bai, Shanshan Zhang, Brian L. Egleston
, Slobodan Vucetic:
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. KDD 2018: 43-51 - 2017
- [c52]Tian Bai, Ashis Kumar Chanda
, Brian L. Egleston
, Slobodan Vucetic:
Joint learning of representations of medical concepts and words from EHR data. BIBM 2017: 764-769 - [i3]Slobodan Vucetic, Ashis Kumar Chanda, Shanshan Zhang, Tian Bai, Aniruddha Maiti:
Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs. CoRR abs/1708.05435 (2017) - 2016
- [j21]Nemanja Djuric, Lakesh Kansakar
, Slobodan Vucetic:
Semi-supervised combination of experts for aerosol optical depth estimation. Artif. Intell. 230: 1-13 (2016) - [c51]Chao Han, Shanshan Zhang, Mohamed F. Ghalwash
, Slobodan Vucetic, Zoran Obradovic:
Joint Learning of Representation and Structure for Sparse Regression on Graphs. SDM 2016: 846-854 - [c50]Shanshan Zhang, Slobodan Vucetic:
Sampling Bias in LinkedIn: A Case Study. WWW (Companion Volume) 2016: 145-146 - [i2]Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic:
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests. CoRR abs/1606.08963 (2016) - [i1]Shanshan Zhang, Slobodan Vucetic:
Semi-supervised Discovery of Informative Tweets During the Emerging Disasters. CoRR abs/1610.03750 (2016) - 2015
- [j20]Nemanja Djuric, Vladan Radosavljevic, Zoran Obradovic, Slobodan Vucetic:
Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals. IEEE Geosci. Remote. Sens. Lett. 12(4): 761-765 (2015) - [j19]Kai Zhang, Liang Lan
, James T. Kwok, Slobodan Vucetic, Bahram Parvin:
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 26(3): 444-457 (2015) - 2014
- [c49]Liang Lan, Vuk Malbasa, Slobodan Vucetic:
Spatial Scan for Disease Mapping on a Mobile Population. AAAI 2014: 431-437 - [c48]Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic:
Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests. AAAI 2014: 1788-1794 - [c47]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Neural Gaussian Conditional Random Fields. ECML/PKDD (2) 2014: 614-629 - [c46]Vladimir Coric, Nemanja Djuric, Slobodan Vucetic:
Frugal Traffic Monitoring with Autonomous Participatory Sensing. SDM 2014: 1019-1027 - [c45]Mihajlo Grbovic, Slobodan Vucetic:
Generating ad targeting rules using sparse principal component analysis with constraints. WWW (Companion Volume) 2014: 283-284 - 2013
- [j18]Liang Lan
, Nemanja Djuric, Yuhong Guo, Slobodan Vucetic:
MS-kNN: protein function prediction by integrating multiple data sources. BMC Bioinform. 14(S-3): S8 (2013) - [j17]Nemanja Djuric, Liang Lan, Slobodan Vucetic, Zhuang Wang:
BudgetedSVM: a toolbox for scalable SVM approximations. J. Mach. Learn. Res. 14(1): 3813-3817 (2013) - [j16]Mihajlo Grbovic, Nemanja Djuric, Shengbo Guo, Slobodan Vucetic:
Supervised clustering of label ranking data using label preference information. Mach. Learn. 93(2-3): 191-225 (2013) - [j15]Mihajlo Grbovic, Slobodan Vucetic:
Decentralized Estimation using distortion sensitive learning vector quantization. Pattern Recognit. Lett. 34(9): 963-969 (2013) - [j14]Mihajlo Grbovic, Weichang Li, Niranjan A. Subrahmanya, Adam K. Usadi, Slobodan Vucetic:
Cold Start Approach for Data-Driven Fault Detection. IEEE Trans. Ind. Informatics 9(4): 2264-2273 (2013) - [c44]Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. AAAI 2013: 840-846 - [c43]Nemanja Djuric, Mihajlo Grbovic, Slobodan Vucetic:
Distributed confidence-weighted classification on MapReduce. IEEE BigData 2013: 458-466 - [c42]Nemanja Djuric, Slobodan Vucetic:
Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization. ICDM 2013: 121-130 - [c41]Mihajlo Grbovic, Nemanja Djuric, Slobodan Vucetic:
Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation. IJCAI 2013: 1358-1364 - [c40]Nemanja Djuric, Lakesh Kansakar, Slobodan Vucetic:
Semi-Supervised Learning for Integration of Aerosol Predictions from Multiple Satellite Instruments. IJCAI 2013: 2797-2803 - 2012
- [j13]Zhuang Wang, Koby Crammer, Slobodan Vucetic:
Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training. J. Mach. Learn. Res. 13: 3103-3131 (2012) - [j12]Kosta Ristovski, Slobodan Vucetic, Zoran Obradovic:
Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval. IEEE Trans. Geosci. Remote. Sens. 50(2): 409-414 (2012) - [j11]Zhuang Wang, Liang Lan
, Slobodan Vucetic:
Mixture Model for Multiple Instance Regression and Applications in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 50(6): 2226-2237 (2012) - [c39]Nemanja Djuric, Mihajlo Grbovic, Slobodan Vucetic:
Convex Kernelized Sorting. AAAI 2012: 893-899 - [c38]Mihajlo Grbovic, Christopher R. Dance, Slobodan Vucetic:
Sparse Principal Component Analysis with Constraints. AAAI 2012: 935-941 - [c37]Huangmao Quan, Ana Milicic, Slobodan Vucetic, Jie Wu:
A connectivity-based popularity prediction approach for social networks. ICC 2012: 2098-2102 - [c36]Mihajlo Grbovic, Nemanja Djuric, Slobodan Vucetic:
Supervised Clustering of Label Ranking Data. SDM 2012: 94-105 - 2011
- [j10]Liang Lan
, Slobodan Vucetic:
Improving accuracy of microarray classification by a simple multi-task feature selection filter. Int. J. Data Min. Bioinform. 5(2): 189-208 (2011) - [c35]Vladimir Coric, Zhuang Wang, Slobodan Vucetic:
Traffic speed forecasting by mixture of experts. ITSC 2011: 283-288 - [c34]Zhuang Wang, Nemanja Djuric, Koby Crammer, Slobodan Vucetic:
Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification. KDD 2011: 24-32 - [c33]Vuk Malbasa, Slobodan Vucetic:
Spatially regularized logistic regression for disease mapping on large moving populations. KDD 2011: 1352-1360 - [c32]Mihajlo Grbovic, Slobodan Vucetic:
Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss. ECML/PKDD (1) 2011: 516-532 - [c31]Liang Lan, Haidong Shi, Zhuang Wang, Slobodan Vucetic:
Active Learning Based on Parzen Window. Active Learning and Experimental Design @ AISTATS 2011: 99-112 - 2010
- [j9]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures. IEEE Geosci. Remote. Sens. Lett. 7(2): 411-415 (2010) - [j8]Zhuang Wang, Slobodan Vucetic:
Online training on a budget of support vector machines using twin prototypes. Stat. Anal. Data Min. 3(3): 149-169 (2010) - [c30]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Continuous Conditional Random Fields for Regression in Remote Sensing. ECAI 2010: 809-814 - [c29]Zhuang Wang, Koby Crammer, Slobodan Vucetic:
Multi-Class Pegasos on a Budget. ICML 2010: 1143-1150 - [c28]Zhuang Wang, Slobodan Vucetic:
Online Passive-Aggressive Algorithms on a Budget. AISTATS 2010: 908-915
2000 – 2009
- 2009
- [c27]Liang Lan
, Slobodan Vucetic:
A Multi-task Feature Selection Filter for Microarray Classification. BIBM 2009: 160-165 - [c26]Slobodan Vucetic, Vladimir Coric, Zhuang Wang:
Compressed Kernel Perceptrons. DCC 2009: 153-162 - [c25]Mihajlo Grbovic, Slobodan Vucetic:
Decentralized Estimation Using Learning Vector Quantization. DCC 2009: 446 - [c24]Zhuang Wang, Slobodan Vucetic:
Fast Online Training of Ramp Loss Support Vector Machines. ICDM 2009: 569-577 - [c23]Debasish Das, Zoran Obradovic, Slobodan Vucetic:
Active Selection of Sensor Sites in Remote Sensing Applications. ICDM 2009: 758-763 - [c22]Mihajlo Grbovic, Slobodan Vucetic:
Regression Learning Vector Quantization. ICDM 2009: 788-793 - [c21]Mihajlo Grbovic, Slobodan Vucetic:
Learning Vector Quantization with adaptive prototype addition and removal. IJCNN 2009: 994-1001 - [c20]Zhuang Wang, Slobodan Vucetic:
Tighter Perceptron with improved dual use of cached data for model representation and validation. IJCNN 2009: 3297-3302 - [c19]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 71-78 - [c18]Zhuang Wang, Slobodan Vucetic:
Twin Vector Machines for Online Learning on a Budget. SDM 2009: 906-917 - 2008
- [j7]Slobodan Vucetic, Bo Han, Wen Mi, Zhanquing Li
, Zoran Obradovic:
A Data-Mining Approach for the Validation of Aerosol Retrievals. IEEE Geosci. Remote. Sens. Lett. 5(1): 113-117 (2008) - [c17]Debasish Das, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation. IGARSS (2) 2008: 879-882 - [c16]Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. SDM 2008: 609-620 - 2007
- [c15]Vuk Malbasa, Slobodan Vucetic:
A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation. IJCNN 2007: 2200-2204 - 2006
- [j6]Bo Han, Zoran Obradovic, Zhang-Zhi Hu, Cathy H. Wu
, Slobodan Vucetic:
Substring selection for biomedical document classification. Bioinform. 22(17): 2136-2142 (2006) - [j5]Kang Peng, Predrag Radivojac, Slobodan Vucetic, A. Keith Dunker, Zoran Obradovic:
Length-dependent prediction of protein intrinsic disorder. BMC Bioinform. 7: 208 (2006) - [j4]Bo Han, Slobodan Vucetic, Amy Braverman, Zoran Obradovic:
A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data. Eng. Appl. Artif. Intell. 19(7): 787-795 (2006) - [c14]Slobodan Vucetic:
A Fast Algorithm for Lossless Compression of Data Tables by Reordering. DCC 2006: 469 - [c13]Bo Han, Zoran Obradovic, Zhanquing Li, Slobodan Vucetic:
Data Mining Support for the Improvement of MODIS Aerosol Retrievals. IGARSS 2006: 2453-2456 - 2005
- [j3]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:
DisProt: a database of protein disorder. Bioinform. 21(1): 137-140 (2005) - [j2]Kang Peng, Slobodan Vucetic, Predrag Radivojac, Celeste J. Brown, A. Keith Dunker, Zoran Obradovic:
Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information. J. Bioinform. Comput. Biol. 3(1): 35-60 (2005) - [j1]Slobodan Vucetic, Zoran Obradovic:
Collaborative Filtering Using a Regression-Based Approach. Knowl. Inf. Syst. 7(1): 1-22 (2005) - [c12]Slobodan Vucetic:
Accuracy-Optimized Quantization for High-Dimensional Data Fusion. DCC 2005: 485 - [c11]Kang Peng, Slobodan Vucetic, Zoran Obradovic:
Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets. SDM 2005: 621-625 - 2004
- [c10]Kang Peng, Zoran Obradovic, Slobodan Vucetic:
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets. ECAI 2004: 623-627 - [c9]Predrag Radivojac, Zoran Obradovic, A. Keith Dunker, Slobodan Vucetic:
Feature Selection Filters Based on the Permutation Test. ECML 2004: 334-346 - [c8]Kang Peng, Zoran Obradovic, Slobodan Vucetic:
Exploring Bias in the Protein Data Bank Using Contrast Classifiers. Pacific Symposium on Biocomputing 2004: 435-446 - 2003
- [c7]Kang Peng, Slobodan Vucetic, Bo Han, Hongbo M. Xie, Zoran Obradovic:
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining. ICDM 2003: 267-274 - [c6]Bo Han, Slobodan Vucetic, Zoran Obradovic:
Reranking Medline Citations by Relevance to a Difficult Biological Query. Neural Networks and Computational Intelligence 2003: 38-43 - [c5]Slobodan Vucetic, Dragoljub Pokrajac, Hongbo M. Xie, Zoran Obradovic:
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. SDM 2003: 279-283 - 2001
- [c4]Slobodan Vucetic, Zoran Obradovic:
Classification on Data with Biased Class Distribution. ECML 2001: 527-538 - 2000
- [c3]Slobodan Vucetic, Zoran Obradovic:
Discovering Homogeneous Regions in Spatial Data through Competition. ICML 2000: 1095-1102 - [c2]Slobodan Vucetic, Zoran Obradovic:
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases. PAKDD 2000: 29-39
1990 – 1999
- 1999
- [c1]Slobodan Vucetic, Tim Fiez, Zoran Obradovic:
A data partitioning scheme for spatial regression. IJCNN 1999: 2474-2479
Coauthor Index
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