Xingquan Zhu

According to our database1, Xingquan Zhu authored at least 271 papers between 2000 and 2021.

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Bibliography

2021
Extreme clustering - A clustering method via density extreme points.
Inf. Sci., 2021

2020
A survey and taxonomy of adversarial neural networks for text-to-image synthesis.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2020

Topic-aware Web Service Representation Learning.
ACM Trans. Web, 2020

Time-Variant Graph Classification.
IEEE Trans. Syst. Man Cybern. Syst., 2020

MLNE: Multi-Label Network Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2020

Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data.
ACM Trans. Knowl. Discov. Data, 2020

Network Representation Learning: A Survey.
IEEE Trans. Big Data, 2020

Dropout vs. batch normalization: an empirical study of their impact to deep learning.
Multim. Tools Appl., 2020

Topical network embedding.
Data Min. Knowl. Discov., 2020

Deep Learning for User Interest and Response Prediction in Online Display Advertising.
Data Sci. Eng., 2020

TriNE: Network Representation Learning for Tripartite Heterogeneous Networks.
CoRR, 2020

Evolutionary Architecture Search for Graph Neural Networks.
CoRR, 2020

Topology and Content Co-Alignment Graph Convolutional Learning.
CoRR, 2020

Unsupervised Domain Adaptive Graph Convolutional Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multi-Class Imbalanced Graph Convolutional Network Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

COPD Disease Classification Using Network Embedding with Synthetic Relationships.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class Distributions.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019
CFOND: Consensus Factorization for Co-Clustering Networked Data.
IEEE Trans. Knowl. Data Eng., 2019

Encrypted data indexing for the secure outsourcing of spectral clustering.
Knowl. Inf. Syst., 2019

Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks.
Inf. Syst. Frontiers, 2019

Convolutional neural network learning for generic data classification.
Inf. Sci., 2019

Attributed network embedding via subspace discovery.
Data Min. Knowl. Discov., 2019

Multi-Label Graph Convolutional Network Representation Learning.
CoRR, 2019

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
CoRR, 2019

Search Efficient Binary Network Embedding.
CoRR, 2019

Discriminative Sample Generation for Deep Imbalanced Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Relation Structure-Aware Heterogeneous Graph Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain-Adversarial Graph Neural Networks for Text Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Network Analysis and Recommendation for Infectious Disease Clinical Trial Research.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Deep Learning for Online Display Advertising User Clicks and Interests Prediction.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
Quantitative Association Rules.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Consistent Random Forest Framework: Bernoulli Random Forests.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Instance Learning with Discriminative Bag Mapping.
IEEE Trans. Knowl. Data Eng., 2018

K-Ary Tree Hashing for Fast Graph Classification.
IEEE Trans. Knowl. Data Eng., 2018

A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.
IEEE J. Biomed. Health Informatics, 2018

NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints.
IEEE Trans. Cybern., 2018

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
IEEE Trans. Cybern., 2018

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Tackling Class Imbalance in Cyber Security Datasets.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Deep Transfer Learning for Traffic Sign Recognition.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Learning Convolutional Neural Networks from Ordered Features of Generic Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

SINE: Scalable Incomplete Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Structure Learning for Fraud Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

EDLT: Enabling Deep Learning for Generic Data Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Fraud Prevention in Online Digital Advertising
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-56792-1, 2017

Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2017

Combining Structured Node Content and Topology Information for Networked Graph Clustering.
ACM Trans. Knowl. Discov. Data, 2017

Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybern., 2017

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybern., 2017

SALE: Self-adaptive LSH encoding for multi-instance learning.
Pattern Recognit., 2017

Efficient sequential pattern mining with wildcards for keyphrase extraction.
Knowl. Based Syst., 2017

Boosting for graph classification with universum.
Knowl. Inf. Syst., 2017

Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients.
J. Big Data, 2017

Hashing Techniques: A Survey and Taxonomy.
ACM Comput. Surv., 2017

ULTR-CTR: Fast Page Grouping Using URL Truncation for Real-Time Click Through Rate Estimation.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

GFEL: Generalized Feature Embedding Learning Using Weighted Instance Matching.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Localized sampling for hospital re-admission prediction with imbalanced sample distributions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Latent topic ensemble learning for hospital readmission cost reduction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

User Profile Preserving Social Network Embedding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

CNFL: Categorical to Numerical Feature Learning for Clustering and Classification.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

MGAE: Marginalized Graph Autoencoder for Graph Clustering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Co-occurring evidence discovery for COPD patients using natural language processing.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

A cost sensitive approach to predicting 30-day hospital readmission in COPD patients.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng., 2016

Supervised sampling for networked data.
Signal Process., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit., 2016

Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst., 2016

Topic discovery and future trend forecasting for texts.
J. Big Data, 2016

Active exploration for large graphs.
Data Min. Knowl. Discov., 2016

Time-Variant Graph Classification.
CoRR, 2016

Towards a Big Data Architecture for Facilitating Cyber Threat Intelligence.
Proceedings of the 8th IFIP International Conference on New Technologies, 2016

Co-clustering enterprise social networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tri-Party Deep Network Representation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Homophily, Structure, and Content Augmented Network Representation Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Direct Discriminative Bag Mapping for Multi-Instance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng., 2015

CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.
IEEE Trans. Knowl. Data Eng., 2015

TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.
IEEE Trans. Knowl. Data Eng., 2015

Boosting for Multi-Graph Classification.
IEEE Trans. Cybern., 2015

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.
IEEE Trans. Cybern., 2015

Rating Knowledge Sharing in Cross-Domain Collaborative Filtering.
IEEE Trans. Cybern., 2015

An empirical study of morphing on behavior-based network traffic classification.
Secur. Commun. Networks, 2015

Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit., 2015

DCMS: A data analytics and management system for molecular simulation.
J. Big Data, 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

Reverse twin plant for efficient diagnosability testing and optimizing.
Eng. Appl. Artif. Intell., 2015

Social Network Privacy: Issues and Measurement.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Topic Discovery and Future Trend Prediction Using Association Analysis and Ensemble Forecasting.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Gender Prediction in Random Chat Networks Using Topological Network Structures and Masked Content.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Multi-Graph-View Learning for Complicated Object Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Active Class Discovery by Querying Pairwise Label Homogeneity.
Proceedings of the Data Science - Second International Conference, 2015

2014
Bag Constrained Structure Pattern Mining for Multi-Graph Classification.
IEEE Trans. Knowl. Data Eng., 2014

Data Mining with Big Data.
IEEE Trans. Knowl. Data Eng., 2014

Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach.
IEEE Trans. Knowl. Data Eng., 2014

Active learning with uncertain labeling knowledge.
Pattern Recognit. Lett., 2014

The effect of varying levels of class distribution on bagging for different algorithms: An empirical study.
Int. J. Mach. Learn. Cybern., 2014

Multi-Graph Learning with Positive and Unlabeled Bags.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Context-Preserving Hashing for Fast Text Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Super-Graph Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

iSRD: Spam review detection with imbalanced data distributions.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Who wrote this paper? Learning for authorship de-identification using stylometric featuress.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Dual instance and attribute weighting for Naive Bayes classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Multi-graph-view Learning for Graph Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

SNOC: Streaming Network Node Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Noisy but non-malicious user detection in social recommender systems.
World Wide Web, 2013

Hierarchical Sampling for Multi-Instance Ensemble Learning.
IEEE Trans. Knowl. Data Eng., 2013

Active Learning With Optimal Instance Subset Selection.
IEEE Trans. Cybern., 2013

Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A survey on instance selection for active learning.
Knowl. Inf. Syst., 2013

Editorial.
Int. J. Artif. Intell. Tools, 2013

PMBC: Pattern mining from biological sequences with wildcard constraints.
Comput. Biol. Medicine, 2013

Active Class Discovery and Learning for Networked Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Knowledge Transfer for Multi-labeler Active Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Fast Graph Stream Classification Using Discriminative Clique Hashing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Compression in Molecular Simulation Datasets.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Artificial immune system for attribute weighted Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-adaptive probability estimation for Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Graph Classification with Imbalanced Class Distributions and Noise.
Proceedings of the IJCAI 2013, 2013

Machine Learning for Android Malware Detection Using Permission and API Calls.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

An Empirical Study of Robustness of Network Centrality Scores in Various Networks and Conditions.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

A Classifier Ensembling Approach for Imbalanced Social Link Prediction.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Multi-instance Multi-graph Dual Embedding Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Transfer Learning across Networks for Collective Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Graph stream classification using labeled and unlabeled graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Understanding the roles of sub-graph features for graph classification: an empirical study perspective.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Graph hashing and factorization for fast graph stream classification.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Active exploration: simultaneous sampling and labeling for large graphs.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Special issue on data mining applications and case study.
Neurocomputing, 2012

Inverse matrix-free incremental proximal support vector machine.
Decis. Support Syst., 2012

Top-k correlated subgraph query for data streams.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

I don't know the label: Active learning with blind knowledge.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Self-Taught Active Learning from Crowds.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Parallel proximal support vector machine for high-dimensional pattern classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Continuous top-k query for graph streams.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

CGStream: continuous correlated graph query for data streams.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

TCSST: transfer classification of short & sparse text using external data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

An empirical study of morphing on network traffic classification.
Proceedings of the 7th International Conference on Communications and Networking in China, 2012

Active Learning from Oracle with Knowledge Blind Spot.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Cross-Domain Semi-Supervised Learning Using Feature Formulation.
IEEE Trans. Syst. Man Cybern. Part B, 2011

One-class learning and concept summarization for data streams.
Knowl. Inf. Syst., 2011

Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model.
Int. J. Data Warehous. Min., 2011

Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling.
Inf. Syst., 2011

CLAP: Collaborative pattern mining for distributed information systems.
Decis. Support Syst., 2011

Robust ensemble learning for mining noisy data streams.
Decis. Support Syst., 2011

Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints.
Comput. Intell., 2011

Self-adjust Local Connectivity Analysis for Spectral Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Enabling fast prediction for ensemble models on data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Cross-Domain Collaborative Filtering over Time.
Proceedings of the IJCAI 2011, 2011

Enabling Fast Lazy Learning for Data Streams.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

How Does Research Evolve? Pattern Mining for Research Meme Cycles.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Transfer active learning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Do they belong to the same class: active learning by querying pairwise label homogeneity.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

An Empirical Study of Bagging Predictors for Different Learning Algorithms.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Tracking User-Preference Varying Speed in Collaborative Filtering.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Large Scale Diagnosis Using Associations between System Outputs and Components.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Optimal Subset Selection for Active Learning.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Multiple criteria programming models for VIP E-Mail behavior analysis.
Web Intell. Agent Syst., 2010

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Feature Selection for Datasets with Imbalanced Class Distributions.
Int. J. Softw. Eng. Knowl. Eng., 2010

Normalized dimensionality reduction using nonnegative matrix factorization.
Neurocomputing, 2010

Rule Synthesizing from Multiple Related Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Ensemble pruning via individual contribution ordering.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams.
Proceedings of the ICDM 2010, 2010

Transfer incremental learning for pattern classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

SKIF: a data imputation framework for concept drifting data streams.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Quantitative Association Rules.
Proceedings of the Encyclopedia of Database Systems, 2009

vEye: behavioral footprinting for self-propagating worm detection and profiling.
Knowl. Inf. Syst., 2009

Ubiquitous Mining with Interactive Data Mining Agents.
J. Comput. Sci. Technol., 2009

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Feature Selection with biased Sample Distributions.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

Gene Selection for Microarray Expression Data with Imbalanced Sample Distributions.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Multiple Information Sources Cooperative Learning.
Proceedings of the IJCAI 2009, 2009

Error Detection and Uncertainty Modeling for Imprecise Data.
Proceedings of the ICTAI 2009, 2009

Approximate Repeating Pattern Mining with Gap Requirements.
Proceedings of the ICTAI 2009, 2009

Vague One-Class Learning for Data Streams.
Proceedings of the ICDM 2009, 2009

Mining Data Streams with Labeled and Unlabeled Training Examples.
Proceedings of the ICDM 2009, 2009

Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models.
Proceedings of the Computational Science, 2009

Parallel Selection of Informative Genes for Classification.
Proceedings of the Bioinformatics and Computational Biology, 2009

The Impact of Gene Selection on Imbalanced Microarray Expression Data.
Proceedings of the Bioinformatics and Computational Biology, 2009

2008
Data Mining.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Mining With Noise Knowledge: Error-Aware Data Mining.
IEEE Trans. Syst. Man Cybern. Part A, 2008

MMIS07, 08: mining multiple information sources workshop report.
SIGKDD Explor., 2008

A lazy bagging approach to classification.
Pattern Recognit., 2008

Editorial.
Int. J. Softw. Informatics, 2008

Conceptual equivalence for contrast mining in classification learning.
Data Knowl. Eng., 2008

Imputation-boosted collaborative filtering using machine learning classifiers.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

iVESTA: an interactive visualization and evaluation system for drive test data.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Categorizing and mining concept drifting data streams.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

VCI predictors: Voting on classifications from imputed learning sets.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

Bagging very weak learners with lazy local learning.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

VoB predictors: Voting on bagging classifications.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Cleansing Noisy Data Streams.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Select Objective Functions for Multiple Criteria Programming Classification.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
Mining Sequential Patterns across Time Sequences.
New Gener. Comput., 2007

Editorial: Special issue on mining low-quality data.
Knowl. Inf. Syst., 2007

Mining maximal frequent itemsets from data streams.
J. Inf. Sci., 2007

Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Mining Frequent Patterns with Wildcards from Biological Sequences.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

An Empirical Study of the Noise Impact on Cost-Sensitive Learning.
Proceedings of the IJCAI 2007, 2007

Mining Complex Patterns across Sequences with Gap Requirements.
Proceedings of the IJCAI 2007, 2007

Active Learning from Data Streams.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Lazy Bagging for Classifying Imbalanced Data.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Discovering Relational Patterns across Multiple Databases.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Pushing Frequency Constraint to Utility Mining Model.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Using WordNet to Disambiguate Word Senses for Text Classification.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering.
IEEE Trans. Knowl. Data Eng., 2006

Effective classification of noisy data streams with attribute-oriented dynamic classifier selection.
Knowl. Inf. Syst., 2006

Efficient string matching with wildcards and length constraints.
Knowl. Inf. Syst., 2006

Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets.
Data Min. Knowl. Discov., 2006

Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams.
Data Min. Knowl. Discov., 2006

Scalable Representative Instance Selection and Ranking.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Error awareness data mining.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Accelerated Kernel Feature Analysis.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval.
IEEE Trans. Multim., 2005

Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective.
IEEE Trans. Knowl. Data Eng., 2005

Cost-Constrained Data Acquisition for Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng., 2005

Combining proactive and reactive predictions for data streams.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Scalable Inductive Learning on Partitioned Data.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Sequential Pattern Mining in Multiple Streams.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
ClassView: hierarchical video shot classification, indexing, and accessing.
IEEE Trans. Multim., 2004

Exploring video content structure for hierarchical summarization.
Multim. Syst., 2004

VDBMS: A testbed facility for research in video database benchmarking.
Multim. Syst., 2004

Class Noise vs. Attribute Noise: A Quantitative Study.
Artif. Intell. Rev., 2004

Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

OIDM: Online Interactive Data Mining.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Data Acquisition with Active and Impact-Sensitive Instance Selection.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Dynamic Classifier Selection for Effective Mining from Noisy Data Streams.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
A hierarchical access control model for video database systems.
ACM Trans. Inf. Syst., 2003

Accessing Video Contents through Key Objects over IP.
Multim. Tools Appl., 2003

Hierarchical video content description and summarization using unified semantic and visual similarity.
Multim. Syst., 2003

Mining Video Associations for Efficient Database Management.
Proceedings of the IJCAI-03, 2003

Eliminating Class Noise in Large Datasets.
Proceedings of the Machine Learning, 2003

Sequential association mining for video summarization.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Semantic principal video shot classification via mixture Gaussian.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Medical Video Mining for Efficient Database Indexing, Management and Access.
Proceedings of the 19th International Conference on Data Engineering, 2003

2002
Model-Based Video Classification toward Hierarchical Representation, Indexing and Access.
Multim. Tools Appl., 2002

Hierarchical video summarization for medical data.
Proceedings of the Storage and Retrieval for Media Databases 2002, 2002

Seeded image segmentation for content-based image retrieval application.
Proceedings of the Storage and Retrieval for Media Databases 2002, 2002

Qualitative Camera Motion Classification for Content-Based Video Indexing.
Proceedings of the Advances in Multimedia Information Processing, 2002

Semi-automatic Video Content Annotation.
Proceedings of the Advances in Multimedia Information Processing, 2002

ClassMiner: mining medical video for scalable skimming and summarization.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

A Video Database Management System for Advancing Video Database Research.
Proceedings of the MIS 2002, International Workshop on Multimedia Information Systems, October 10, 2002

Towards facial feature extraction and verification for omni-face detection in video/images.
Proceedings of the 2002 International Conference on Image Processing, 2002

A Distributed Database Server for Continuous Media.
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

ClassMiner: Mining Medical Video Content Structure and Events Towards Efficient Access and Scalable Skimming.
Proceedings of the 2002 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2002

2001
Automatic model-based semantic object extraction algorithm.
IEEE Trans. Circuits Syst. Video Technol., 2001

New query refinement and semantics integrated image retrieval system with semiautomatic annotation scheme.
J. Electronic Imaging, 2001

MultiView: Multilevel video content representation and retrieval.
J. Electronic Imaging, 2001

Automatic Scene Detection in News Program by Integrating Visual Feature and Rules.
Proceedings of the Advances in Multimedia Information Processing, 2001

Seeded Semantic Object Generation toward Content-Based Video Indexing.
Proceedings of the Advances in Multimedia Information Processing, 2001

2000
A unified framework for semantics and feature based relevance feedback in image retrieval systems.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000


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