Slobodan Vucetic

According to our database1, Slobodan Vucetic authored at least 75 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Peer assessment of CS doctoral programs shows strong correlation with faculty citations.
Commun. ACM, 2018

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Regular Expression Guided Entity Mention Mining from Noisy Web Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Joint learning of representations of medical concepts and words from EHR data.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Semi-supervised combination of experts for aerosol optical depth estimation.
Artif. Intell., 2016

Sampling Bias in LinkedIn: A Case Study.
Proceedings of the 25th International Conference on World Wide Web, 2016

Joint Learning of Representation and Structure for Sparse Regression on Graphs.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2015
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines.
IEEE Trans. Neural Netw. Learning Syst., 2015

Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals.
IEEE Geosci. Remote Sensing Lett., 2015

2014
Generating ad targeting rules using sparse principal component analysis with constraints.
Proceedings of the 23rd International World Wide Web Conference, 2014

Frugal Traffic Monitoring with Autonomous Participatory Sensing.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Neural Gaussian Conditional Random Fields.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Spatial Scan for Disease Mapping on a Mobile Population.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Cold Start Approach for Data-Driven Fault Detection.
IEEE Trans. Industrial Informatics, 2013

Decentralized Estimation using distortion sensitive learning vector quantization.
Pattern Recognition Letters, 2013

Supervised clustering of label ranking data using label preference information.
Machine Learning, 2013

BudgetedSVM: a toolbox for scalable SVM approximations.
Journal of Machine Learning Research, 2013

MS-kNN: protein function prediction by integrating multiple data sources.
BMC Bioinformatics, 2013

Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation.
Proceedings of the IJCAI 2013, 2013

Semi-Supervised Learning for Integration of Aerosol Predictions from Multiple Satellite Instruments.
Proceedings of the IJCAI 2013, 2013

Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Distributed confidence-weighted classification on MapReduce.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Mixture Model for Multiple Instance Regression and Applications in Remote Sensing.
IEEE Trans. Geoscience and Remote Sensing, 2012

Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval.
IEEE Trans. Geoscience and Remote Sensing, 2012

Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training.
Journal of Machine Learning Research, 2012

Supervised Clustering of Label Ranking Data.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A connectivity-based popularity prediction approach for social networks.
Proceedings of IEEE International Conference on Communications, 2012

Sparse Principal Component Analysis with Constraints.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Convex Kernelized Sorting.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Active Learning Based on Parzen Window.
Proceedings of the Active Learning and Experimental Design workshop, 2011

Improving accuracy of microarray classification by a simple multi-task feature selection filter.
IJDMB, 2011

Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Spatially regularized logistic regression for disease mapping on large moving populations.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Traffic speed forecasting by mixture of experts.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2010
Online training on a budget of support vector machines using twin prototypes.
Statistical Analysis and Data Mining, 2010

A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures.
IEEE Geosci. Remote Sensing Lett., 2010

Online Passive-Aggressive Algorithms on a Budget.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Multi-Class Pegasos on a Budget.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Continuous Conditional Random Fields for Regression in Remote Sensing.
Proceedings of the ECAI 2010, 2010

2009
Twin Vector Machines for Online Learning on a Budget.
Proceedings of the SIAM International Conference on Data Mining, 2009

Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Tighter Perceptron with improved dual use of cached data for model representation and validation.
Proceedings of the International Joint Conference on Neural Networks, 2009

Learning Vector Quantization with adaptive prototype addition and removal.
Proceedings of the International Joint Conference on Neural Networks, 2009

Fast Online Training of Ramp Loss Support Vector Machines.
Proceedings of the ICDM 2009, 2009

Regression Learning Vector Quantization.
Proceedings of the ICDM 2009, 2009

Active Selection of Sensor Sites in Remote Sensing Applications.
Proceedings of the ICDM 2009, 2009

Compressed Kernel Perceptrons.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

Decentralized Estimation Using Learning Vector Quantization.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

A Multi-task Feature Selection Filter for Microarray Classification.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
A Data-Mining Approach for the Validation of Aerosol Retrievals.
IEEE Geosci. Remote Sensing Lett., 2008

Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2008

Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data.
Eng. Appl. of AI, 2006

Length-dependent prediction of protein intrinsic disorder.
BMC Bioinformatics, 2006

Substring selection for biomedical document classification.
Bioinformatics, 2006

A Fast Algorithm for Lossless Compression of Data Tables by Reordering.
Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006

2005
Collaborative Filtering Using a Regression-Based Approach.
Knowl. Inf. Syst., 2005

Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information.
J. Bioinformatics and Computational Biology, 2005

DisProt: a database of protein disorder.
Bioinformatics, 2005

Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Accuracy-Optimized Quantization for High-Dimensional Data Fusion.
Proceedings of the 2005 Data Compression Conference (DCC 2005), 2005

2004
Exploring Bias in the Protein Data Bank Using Contrast Classifiers.
Proceedings of the Biocomputing 2004, 2004

Feature Selection Filters Based on the Permutation Test.
Proceedings of the Machine Learning: ECML 2004, 2004

Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Reranking Medline Citations by Relevance to a Difficult Biological Query.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2001
Classification on Data with Biased Class Distribution.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Discovering Homogeneous Regions in Spatial Data through Competition.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
A data partitioning scheme for spatial regression.
Proceedings of the International Joint Conference Neural Networks, 1999


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