Victor S. Sheng

According to our database1, Victor S. Sheng
• authored at least 85 papers between 2006 and 2018.
• has a "Dijkstra number"2 of four.

Book
In proceedings
Article
PhD thesis
Other

Bibliography

2018
Sparse regression with output correlation for cardiac ejection fraction estimation.
Inf. Sci., 2018

2017
Cost-Sensitive Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Class Imbalance Problem.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Location-aware publish/subscribe index with complex boolean expressions.
World Wide Web, 2017

Monochromatic and bichromatic ranked reverse boolean spatial keyword nearest neighbors search.
World Wide Web, 2017

Structural Minimax Probability Machine.
IEEE Trans. Neural Netw. Learning Syst., 2017

A Robust Regularization Path Algorithm for ν-Support Vector Classification.
IEEE Trans. Neural Netw. Learning Syst., 2017

Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification.
IEEE Trans. Multimedia, 2017

Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Broaden the minority class space for decision tree induction using antigen-derived detectors.
Knowl.-Based Syst., 2017

Consensus algorithms for biased labeling in crowdsourcing.
Inf. Sci., 2017

Active learning with label correlation exploration for multi-label image classification.
IET Computer Vision, 2017

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.
Comp. Int. and Neurosc., 2017

Social Personalized Ranking Embedding for Next POI Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Label Aggregation for Crowdsourcing with Bi-Layer Clustering.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Adaptive Low-Rank Multi-Label Active Learning for Image Classification.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Multi-label active learning with low-rank mapping for image classification.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Keyphrase Extraction Using Sequential Pattern Mining and Entropy.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Keyphrase Extraction with Sequential Pattern Mining.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering.
IEEE Trans. Knowl. Data Eng., 2016

Noise filtering to improve data and model quality for crowdsourcing.
Knowl.-Based Syst., 2016

A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification.
IJPRAI, 2016

Label noise correction and application in crowdsourcing.
Expert Syst. Appl., 2016

Stratification-Based Outlier Detection over the Deep Web.
Comp. Int. and Neurosc., 2016

Learning from crowdsourced labeled data: a survey.
Artif. Intell. Rev., 2016

A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaning.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Social Recommendation Terms: Probabilistic Explanation Optimization.
Proceedings of the Challenges and Opportunity with Big Data, 2016

Multi-label active learning for image classification with asymmetrical conditional dependence.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

An Efficient Location-Aware Top-k Subscription Matching for Publish/Subscribe with Boolean Expressions.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Incremental Support Vector Learning for Ordinal Regression.
IEEE Trans. Neural Netw. Learning Syst., 2015

Imbalanced Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng., 2015

Active Learning With Imbalanced Multiple Noisy Labeling.
IEEE Trans. Cybernetics, 2015

Incremental learning for ν-Support Vector Regression.
Neural Networks, 2015

CEKA: a tool for mining the wisdom of crowds.
Journal of Machine Learning Research, 2015

Immune Centroids Oversampling Method for Binary Classification.
Comp. Int. and Neurosc., 2015

An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Effective Sampling of Points of Interests on Maps Based on Road Networks.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Batch Mode Active Learning for Networked Data with Optimal Subset Selection.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

RPCV: Recommend Potential Customers to Vendors in Location-Based Social Network.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Semi-automatic Labeling with Active Learning for Multi-label Image Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Immune Centroids Over-Sampling Method for Multi-Class Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Weak Labeled Multi-Label Active Learning for Image Classification.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Multi-Label Active Learning with Chi-Square Statistics for Image Classification.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

A Double Weighted Naive Bayes for Multi-label Classification.
Proceedings of the Computational Intelligence and Intelligent Systems, 2015

Bi-Parameter Space Partition for Cost-Sensitive SVM.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Integrating Active Learning with Supervision for Crowdsourcing Generalization.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Learning from the Crowd with Neural Network.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Multi-label active learning with label correlation for image classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Noise correction of image labeling in crowdsourcing.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Label noise correction methods.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Scalable Top- k Spatial Image Search on Road Networks.
Proceedings of the Database Systems for Advanced Applications, 2015

Improving Label Quality in Crowdsourcing Using Noise Correction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Best First Over-Sampling for Multilabel Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

EPEMS: An Entity Matching System for E-Commerce Products.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

TK-SK: Textual-Restricted K Spatial Keyword Query on Road Networks.
Proceedings of the Databases Theory and Applications, 2015

Effective Spatial Keyword Query Processing on Road Networks.
Proceedings of the Databases Theory and Applications, 2015

2014
Cost-sensitive learning for defect escalation.
Knowl.-Based Syst., 2014

Repeated labeling using multiple noisy labelers.
Data Min. Knowl. Discov., 2014

Multi-label active learning for image classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Feasibility and Finite Convergence Analysis for Accurate On-Line $\nu$-Support Vector Machine.
IEEE Trans. Neural Netw. Learning Syst., 2013

A hybrid intelligent data classification algorithm.
IJWMC, 2013

An Empirical Study of Reducing Multiclass Classification Methodologies.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

A Study on Multi-label Classification.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013

A threshold method for imbalanced multiple noisy labeling.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Imbalanced Multiple Noisy Labeling for Supervised Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Empirical Comparison of Multi-Label Classification Algorithms.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications?
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Interval-Valued Centroids in K-Means Algorithms.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Studying Active Learning in the Cost-Sensitive Framework.
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

2011
Boosting Inspired Process for Improving AUC.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Fast Data Acquisition in Cost-Sensitive Learning.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

Simple Multiple Noisy Label Utilization Strategies.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Cost-Sensitive Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Class Imbalance Problem.
Proceedings of the Encyclopedia of Machine Learning, 2010

2009
Cost-Sensitive Learning.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008
Get another label? improving data quality and data mining using multiple, noisy labelers.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
Partial example acquisition in cost-sensitive learning.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Roulette Sampling for Cost-Sensitive Learning.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Test Strategies for Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng., 2006

Maximum profit mining and its application in software development.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Feature value acquisition in testing: a sequential batch test algorithm.
Proceedings of the Machine Learning, 2006

Thresholding for Making Classifiers Cost-sensitive.
Proceedings of the Proceedings, 2006