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Journal Articles
- 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)- 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) - 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) - 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) - 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) - 2016
- [j21]Nemanja Djuric, Lakesh Kansakar, Slobodan Vucetic:
Semi-supervised combination of experts for aerosol optical depth estimation. Artif. Intell. 230: 1-13 (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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c74]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. ACL (Findings) 2024: 4652-4665 - [c73]Ziyu Yang, Santhosh Cherian, Slobodan Vucetic:
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification. ACL (Findings) 2024: 4701-4714 - [c72]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 - [c71]Alexander Russakoff, Kenny Miller, Vahid Mahzoon, Parsa Esmaeilkhani, Christine Cho, Jaffar Alzeidi, Sandro Hauri, Slobodan Vucetic:
CourtsightTV: An Interactive Visualization Software for Labeling Key Basketball Moments. CIKM 2024: 5270-5274 - 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 - 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 - 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 - 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 - 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
- [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 - 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 - 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
- [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
- [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
- [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
- [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 - 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
- [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
- [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
- [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 - 1999
- [c1]Slobodan Vucetic, Tim Fiez, Zoran Obradovic:
A data partitioning scheme for spatial regression. IJCNN 1999: 2474-2479
Editorship
- 2021
- [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] - 2020
- [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]
Informal and Other Publications
- 2024
- [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
- [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
- [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
- [i6]Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic:
Learning Semi-Structured Representations of Radiology Reports. CoRR abs/2112.10746 (2021) - 2020
- [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) - 2017
- [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
- [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)
Coauthor Index
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