Xingquan Zhu

IEEE Trans. Knowl. Data Eng., September, 2024

Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., June, 2024

COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2024

Tackling the class imbalanced dermoscopic image classification using data augmentation and GAN.

[BibT_eX]

[DOI]

Multim. Tools Appl., May, 2024

Modeling and prediction of business success: a survey.

[BibT_eX]

[DOI]

Divya Gangwani

Rana Muhammad Shahroz Khan

Artif. Intell. Rev., February, 2024

Black-box attacks on dynamic graphs via adversarial topology perturbations.

[BibT_eX]

[DOI]

Neural Networks, 2024

LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild.

[BibT_eX]

[DOI]

Zhiqiang Wang

Dejia Xu

Yanbin Lin

Zhiwen Fan

CoRR, 2024

ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks.

[BibT_eX]

[DOI]

Yufei Jin

CoRR, 2024

Co-occurrence order-preserving pattern mining.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Manatee Aggregation Counting Through Augmentation and Cross-Domain Learning.

[BibT_eX]

[DOI]

Matteo Zaramella

Irene Amerini

IEEE Access, 2024

GLDL: Graph Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploring investor-business-market interplay for business success prediction.

[BibT_eX]

[DOI]

Divya Gangwani

Borko Furht

J. Big Data, December, 2023

OPR-Miner: Order-Preserving Rule Mining for Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Hierarchical Feature Selection Based on Label Distribution Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Editorial: Special Issue on Transfer Learning.

[BibT_eX]

[DOI]

Neural Process. Lett., June, 2023

OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2023

Repetitive nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

CoRR, 2023

Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel.

[BibT_eX]

[DOI]

CoRR, 2023

Top-k contrast order-preserving pattern mining for time series classification.

[BibT_eX]

[DOI]

CoRR, 2023

SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.

[BibT_eX]

[DOI]

Xin Zheng

Miao Zhang

Chunyang Chen

Quoc Viet Hung Nguyen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Computing Paradigms - Where Will Large Language Models Be Going.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Web Service Network Embedding Based on Link Prediction and Convolutional Learning.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2022

Topology and Content Co-Alignment Graph Convolutional Learning.

[BibT_eX]

[DOI]

Min Shi

Yufei Tang

IEEE Trans. Neural Networks Learn. Syst., 2022

The Evolution of Search: Three Computing Paradigms.

[BibT_eX]

[DOI]

Minghui Wu

ACM Trans. Manag. Inf. Syst., 2022

Knowledge Graph Embedding by Double Limit Scoring Loss.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

HW-Forest: Deep Forest with Hashing Screening and Window Screening.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Top-k Self-Adaptive Contrast Sequential Pattern Mining.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Predictive Modeling of Hospital Readmission: Challenges and Solutions.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Multi-Label Graph Convolutional Network Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View.

[BibT_eX]

[DOI]

Weiping Ding

Amir Alipour Yengejeh

IEEE CAA J. Autom. Sinica, 2022

Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction.

[BibT_eX]

[DOI]

Health Inf. Sci. Syst., 2022

Introduction to special issue on scientific and statistical data management in the age of AI 2021.

[BibT_eX]

[DOI]

Qiang Zhu

Yicheng Tu

Distributed Parallel Databases, 2022

User Response Prediction in Online Advertising.

[BibT_eX]

[DOI]

Zhabiz Gharibshah

ACM Comput. Surv., 2022

Deep Forest with Hashing Screening and Window Screening.

[BibT_eX]

[DOI]

CoRR, 2022

OPP-Miner: Order-preserving sequential pattern mining.

[BibT_eX]

[DOI]

CoRR, 2022

Editorial: special issue on multi-view learning.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.

[BibT_eX]

[DOI]

IEEE Access, 2022

Message from the ICDM 2022 Program Committee Chairs.

[BibT_eX]

[DOI]

Sanjay Ranka

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Local Contrastive Feature Learning for Tabular Data.

[BibT_eX]

[DOI]

Zhabiz Gharibshah

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Temporal Adaptive Aggregation Network for Dynamic Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Predictive Masking for Semi-Supervised Graph Contrastive Learning.

[BibT_eX]

[DOI]

Yufei Jin

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Search Efficient Binary Network Embedding.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Learning Graph Neural Networks with Positive and Unlabeled Nodes.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Community and topic modeling for infectious disease clinical trial recommendation.

[BibT_eX]

[DOI]

Magdalyn E. Elkin

Netw. Model. Anal. Health Informatics Bioinform., 2021

HANP-Miner: High average utility nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

OpenWGL: open-world graph learning for unseen class node classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Extreme clustering - A clustering method via density extreme points.

[BibT_eX]

[DOI]

Inf. Sci., 2021

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Weak Supervision Network Embedding for Constrained Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

GAEN: Graph Attention Evolving Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

An Empirical Study of Deep Learning Frameworks for Melanoma Cancer Detection using Transfer Learning and Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

GraSSNet: Graph Soft Sensing Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Graph Compression Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Understanding and Predicting Faculty Success in Winning Grant Awards.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A survey and taxonomy of adversarial neural networks for text-to-image synthesis.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2020

Topic-aware Web Service Representation Learning.

[BibT_eX]

[DOI]

ACM Trans. Web, 2020

Time-Variant Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

MLNE: Multi-Label Network Embedding.

[BibT_eX]

[DOI]

Min Shi

Yufei Tang

IEEE Trans. Neural Networks Learn. Syst., 2020

Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data.

[BibT_eX]

[DOI]

Huimei Han

Ying Li

ACM Trans. Knowl. Discov. Data, 2020

Network Representation Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2020

Dropout vs. batch normalization: an empirical study of their impact to deep learning.

[BibT_eX]

[DOI]

Christian Garbin

Oge Marques

Multim. Tools Appl., 2020

Topical network embedding.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2020

Deep Learning for User Interest and Response Prediction in Online Display Advertising.

[BibT_eX]

[DOI]

Data Sci. Eng., 2020

Evolutionary Architecture Search for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Domain Adaptive Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multi-Class Imbalanced Graph Convolutional Network Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

OpenWGL: Open-World Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Imbalanced Learning for Hospital Readmission Prediction using National Readmission Database.

[BibT_eX]

[DOI]

Magdalyn E. Elkin

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

TriNE: Network Representation Learning for Tripartite Heterogeneous Networks.

[BibT_eX]

[DOI]

Zhabiz Gharibshah

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Network Analysis of Technology Stocks using Market Correlation.

[BibT_eX]

[DOI]

Lukasz Chmielewski

Rafina Amin

Anak Wannaphaschaiyong

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

COPD Disease Classification Using Network Embedding with Synthetic Relationships.

[BibT_eX]

[DOI]

Anak Wannaphaschaiyong

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class Distributions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019

CFOND: Consensus Factorization for Co-Clustering Networked Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Encrypted data indexing for the secure outsourcing of spectral clustering.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks.

[BibT_eX]

[DOI]

Inf. Syst. Frontiers, 2019

Convolutional neural network learning for generic data classification.

[BibT_eX]

[DOI]

Huimei Han

Ying Li

Inf. Sci., 2019

Attributed network embedding via subspace discovery.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Discriminative Sample Generation for Deep Imbalanced Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Relation Structure-Aware Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain-Adversarial Graph Neural Networks for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Network Analysis and Recommendation for Infectious Disease Clinical Trial Research.

[BibT_eX]

[DOI]

Magdalyn E. Elkin

Whitney Angelica Andrews

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Deep Learning for Online Display Advertising User Clicks and Interests Prediction.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018

Quantitative Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Multiple Structure-View Learning for Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Consistent Random Forest Framework: Bernoulli Random Forests.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Instance Learning with Discriminative Bag Mapping.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

K-Ary Tree Hashing for Fast Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2018

NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Tackling Class Imbalance in Cyber Security Datasets.

[BibT_eX]

[DOI]

Charles Wheelus

Elias Bou-Harb

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Deep Transfer Learning for Traffic Sign Recognition.

[BibT_eX]

[DOI]

Grant Rosario

Thomas Sonderman

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Learning Convolutional Neural Networks from Ordered Features of Generic Data.

[BibT_eX]

[DOI]

Thomas Sonderman

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

SINE: Scalable Incomplete Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Structure Learning for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

EDLT: Enabling Deep Learning for Generic Data Classification.

[BibT_eX]

[DOI]

Huimei Han

Ying Li

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Fraud Prevention in Online Digital Advertising

[BibT_eX]

[DOI]

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-56792-1, 2017

Incremental Subgraph Feature Selection for Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Combining Structured Node Content and Topology Information for Networked Graph Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

Positive and Unlabeled Multi-Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

SALE: Self-adaptive LSH encoding for multi-instance learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Efficient sequential pattern mining with wildcards for keyphrase extraction.

[BibT_eX]

[DOI]

Fei Xie

Knowl. Based Syst., 2017

Boosting for graph classification with universum.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients.

[BibT_eX]

[DOI]

Christopher Baechle

Ankur Agarwal

J. Big Data, 2017

Hashing Techniques: A Survey and Taxonomy.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2017

ULTR-CTR: Fast Page Grouping Using URL Truncation for Real-Time Click Through Rate Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

GFEL: Generalized Feature Embedding Learning Using Weighted Instance Matching.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Localized sampling for hospital re-admission prediction with imbalanced sample distributions.

[BibT_eX]

[DOI]

Haicheng Tao

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Latent topic ensemble learning for hospital readmission cost reduction.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

User Profile Preserving Social Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Extending Database Technology, 2017

CNFL: Categorical to Numerical Feature Learning for Clustering and Classification.

[BibT_eX]

[DOI]

Thomas Sonderman

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

MGAE: Marginalized Graph Autoencoder for Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Co-occurring evidence discovery for COPD patients using natural language processing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Supervised sampling for networked data.

[BibT_eX]

[DOI]

Signal Process., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

Multi-graph-view subgraph mining for graph classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Topic discovery and future trend forecasting for texts.

[BibT_eX]

[DOI]

Ankur Agarwal

J. Big Data, 2016

Active exploration for large graphs.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2016

Time-Variant Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2016

Towards a Big Data Architecture for Facilitating Cyber Threat Intelligence.

[BibT_eX]

[DOI]

Charles Wheelus

Elias Bou-Harb

Proceedings of the 8th IFIP International Conference on New Technologies, 2016

Co-clustering enterprise social networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tri-Party Deep Network Representation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Homophily, Structure, and Content Augmented Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Direct Discriminative Bag Mapping for Multi-Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.

[BibT_eX]

[DOI]

Jia Wu

IEEE Trans. Knowl. Data Eng., 2015

TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Boosting for Multi-Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Rating Knowledge Sharing in Cross-Domain Collaborative Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

An empirical study of morphing on behavior-based network traffic classification.

[BibT_eX]

[DOI]

Secur. Commun. Networks, 2015

Finding the best not the most: regularized loss minimization subgraph selection for graph classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

DCMS: A data analytics and management system for molecular simulation.

[BibT_eX]

[DOI]

J. Big Data, 2015

Self-adaptive attribute weighting for Naive Bayes classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

Reverse twin plant for efficient diagnosability testing and optimizing.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Social Network Privacy: Issues and Measurement.

[BibT_eX]

[DOI]

Isabel Casas

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Topic Discovery and Future Trend Prediction Using Association Analysis and Ensemble Forecasting.

[BibT_eX]

[DOI]

Shihong Huang

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.

[BibT_eX]

[DOI]

Michael Crawford

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Multi-Graph-View Learning for Complicated Object Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Active Class Discovery by Querying Pairwise Label Homogeneity.

[BibT_eX]

[DOI]

Junbin Gao

Proceedings of the Data Science - Second International Conference, 2015

2014

Bag Constrained Structure Pattern Mining for Multi-Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Data Mining with Big Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Active learning with uncertain labeling knowledge.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

The effect of varying levels of class distribution on bagging for different algorithms: An empirical study.

[BibT_eX]

[DOI]

Guohua Liang

Int. J. Mach. Learn. Cybern., 2014

Multi-Graph Learning with Positive and Unlabeled Bags.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Context-Preserving Hashing for Fast Text Classification.

[BibT_eX]

[DOI]

Bin Li

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Super-Graph Classification.

[BibT_eX]

[DOI]

Ting Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

iSRD: Spam review detection with imbalanced data distributions.

[BibT_eX]

[DOI]

Hamzah Al Najada

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.

[BibT_eX]

[DOI]

Napat Taweewitchakreeya

Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Dual instance and attribute weighting for Naive Bayes classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards.

[BibT_eX]

[DOI]

Fei Xie

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Multi-graph-view Learning for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

SNOC: Streaming Network Node Classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

World Wide Web, 2013

Hierarchical Sampling for Multi-Instance Ensemble Learning.

[BibT_eX]

[DOI]

Hanning Yuan

IEEE Trans. Knowl. Data Eng., 2013

Active Learning With Optimal Instance Subset Selection.

[BibT_eX]

[DOI]

Ahmed K. Elmagarmid

IEEE Trans. Cybern., 2013

Online Feature Selection with Streaming Features.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

A survey on instance selection for active learning.

[BibT_eX]

[DOI]

Bin Li

Knowl. Inf. Syst., 2013

Editorial.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2013

PMBC: Pattern mining from biological sequences with wildcard constraints.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2013

Active Class Discovery and Learning for Networked Data.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Knowledge Transfer for Multi-labeler Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Fast Graph Stream Classification Using Discriminative Clique Hashing.

[BibT_eX]

[DOI]

Bin Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Compression in Molecular Simulation Datasets.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Artificial immune system for attribute weighted Naive Bayes classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-adaptive probability estimation for Naive Bayes classification.

[BibT_eX]

[DOI]

Jia Wu

Zhihua Cai

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Graph Classification with Imbalanced Class Distributions and Noise.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Machine Learning for Android Malware Detection Using Permission and API Calls.

[BibT_eX]

[DOI]

Naser Peiravian

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.

[BibT_eX]

[DOI]

Matthew Herland

Pablo Pastran

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

A Classifier Ensembling Approach for Imbalanced Social Link Prediction.

[BibT_eX]

[DOI]

Napat Taweewitchakreeya

Xue Kong

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.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Multi-instance Multi-graph Dual Embedding Learning.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Transfer Learning across Networks for Collective Classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Graph stream classification using labeled and unlabeled graphs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ting Guo

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Graph hashing and factorization for fast graph stream classification.

[BibT_eX]

[DOI]

Ting Guo

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Active exploration: simultaneous sampling and labeling for large graphs.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Special issue on data mining applications and case study.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Inverse matrix-free incremental proximal support vector machine.

[BibT_eX]

[DOI]

Decis. Support Syst., 2012

Top-k correlated subgraph query for data streams.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

I don't know the label: Active learning with blind knowledge.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Self-Taught Active Learning from Crowds.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Parallel proximal support vector machine for high-dimensional pattern classification.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Continuous top-k query for graph streams.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

CGStream: continuous correlated graph query for data streams.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

TCSST: transfer classification of short & sparse text using external data.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

An empirical study of morphing on network traffic classification.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Communications and Networking in China, 2012

Active Learning from Oracle with Knowledge Blind Spot.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Cross-Domain Semi-Supervised Learning Using Feature Formulation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

One-class learning and concept summarization for data streams.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model.

[BibT_eX]

[DOI]

Int. J. Data Warehous. Min., 2011

Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling.

[BibT_eX]

[DOI]

Inf. Syst., 2011

CLAP: Collaborative pattern mining for distributed information systems.

[BibT_eX]

[DOI]

Decis. Support Syst., 2011

Robust ensemble learning for mining noisy data streams.

[BibT_eX]

[DOI]

Decis. Support Syst., 2011

Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints.

[BibT_eX]

[DOI]

Comput. Intell., 2011

Self-adjust Local Connectivity Analysis for Spectral Clustering.

[BibT_eX]

[DOI]

Hui Wu

Guangzhi Qu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Enabling fast prediction for ensemble models on data streams.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Cross-Domain Collaborative Filtering over Time.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Enabling Fast Lazy Learning for Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

How Does Research Evolve? Pattern Mining for Research Meme Cycles.

[BibT_eX]

[DOI]

Douglas Stott Parker Jr.

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Transfer active learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Guohua Liang

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

An Empirical Study of Bagging Predictors for Different Learning Algorithms.

[BibT_eX]

[DOI]

Guohua Liang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Tracking User-Preference Varying Speed in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Large Scale Diagnosis Using Associations between System Outputs and Components.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Optimal Subset Selection for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Multiple criteria programming models for VIP E-Mail behavior analysis.

[BibT_eX]

[DOI]

Web Intell. Agent Syst., 2010

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2010

Feature Selection for Datasets with Imbalanced Class Distributions.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2010

Normalized dimensionality reduction using nonnegative matrix factorization.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Rule Synthesizing from Multiple Related Databases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Ensemble pruning via individual contribution ordering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Transfer incremental learning for pattern classification.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

SKIF: a data imputation framework for concept drifting data streams.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Quantitative Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

vEye: behavioral footprinting for self-propagating worm detection and profiling.

[BibT_eX]

[DOI]

Xuxian Jiang

Knowl. Inf. Syst., 2009

Ubiquitous Mining with Interactive Data Mining Agents.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2009

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Feature Selection with biased Sample Distributions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

Gene Selection for Microarray Expression Data with Imbalanced Sample Distributions.

[BibT_eX]

[DOI]

Abu H. M. Kamal

Ramaswamy Narayanan

Proceedings of the International Joint Conferences on Bioinformatics, 2009

Multiple Information Sources Cooperative Learning.

[BibT_eX]

[DOI]

Ruoming Jin

Proceedings of the IJCAI 2009, 2009

Error Detection and Uncertainty Modeling for Imprecise Data.

[BibT_eX]

[DOI]

Proceedings of the ICTAI 2009, 2009

Approximate Repeating Pattern Mining with Gap Requirements.

[BibT_eX]

[DOI]

Proceedings of the ICTAI 2009, 2009

Vague One-Class Learning for Data Streams.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2009, 2009

Mining Data Streams with Labeled and Unlabeled Training Examples.

[BibT_eX]

[DOI]

Peng Zhang

Li Guo

Proceedings of the ICDM 2009, 2009

Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models.

[BibT_eX]

[DOI]

Peng Zhang

Yong Shi

Proceedings of the Computational Science, 2009

Parallel Selection of Informative Genes for Classification.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Computational Biology, 2009

The Impact of Gene Selection on Imbalanced Microarray Expression Data.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Computational Biology, 2009

2008

Data Mining.

[BibT_eX]

[DOI]

Yan Zhang

Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Mining With Noise Knowledge: Error-Aware Data Mining.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2008

MMIS07, 08: mining multiple information sources workshop report.

[BibT_eX]

[DOI]

SIGKDD Explor., 2008

A lazy bagging approach to classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2008

Editorial.

[BibT_eX]

[DOI]

David L. Olson

Int. J. Softw. Informatics, 2008

Conceptual equivalence for contrast mining in classification learning.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2008

Imputation-boosted collaborative filtering using machine learning classifiers.

[BibT_eX]

[DOI]

Russell Greiner

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

iVESTA: an interactive visualization and evaluation system for drive test data.

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Categorizing and mining concept drifting data streams.

[BibT_eX]

[DOI]

Peng Zhang

Yong Shi

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

VCI predictors: Voting on classifications from imputed learning sets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

Bagging very weak learners with lazy local learning.

[BibT_eX]

[DOI]

Chengyi Bao

Weidong Qiu

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

VoB predictors: Voting on bagging classifications.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Cleansing Noisy Data Streams.

[BibT_eX]

[DOI]

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

Select Objective Functions for Multiple Criteria Programming Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Chinar C. Shah

Justin Beyer

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

Mining Sequential Patterns across Time Sequences.

[BibT_eX]

[DOI]

Gong Chen

New Gener. Comput., 2007

Editorial: Special issue on mining low-quality data.

[BibT_eX]

[DOI]

Ian Davidson

Shichao Zhang

Knowl. Inf. Syst., 2007

Mining maximal frequent itemsets from data streams.

[BibT_eX]

[DOI]

J. Inf. Sci., 2007

Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.

[BibT_eX]

[DOI]

Russell Greiner

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.

[BibT_eX]

[DOI]

Andres Folleco

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Mining Frequent Patterns with Wildcards from Biological Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

An Empirical Study of the Noise Impact on Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Yong Shi

Proceedings of the IJCAI 2007, 2007

Mining Complex Patterns across Sequences with Gap Requirements.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Active Learning from Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Lazy Bagging for Classifying Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Discovering Relational Patterns across Multiple Databases.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Data Engineering, 2007

Pushing Frequency Constraint to Utility Mining Model.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Using WordNet to Disambiguate Word Senses for Text Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

Effective classification of noisy data streams with attribute-oriented dynamic classifier selection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2006

Efficient string matching with wildcards and length constraints.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2006

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2006

Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2006

Scalable Representative Instance Selection and Ranking.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners.

[BibT_eX]

[DOI]

Yan Zhang

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Error awareness data mining.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Accelerated Kernel Feature Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2005

Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

Cost-Constrained Data Acquisition for Intelligent Data Preparation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

Combining proactive and reactive predictions for data streams.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Scalable Inductive Learning on Partitioned Data.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Sequential Pattern Mining in Multiple Streams.

[BibT_eX]

[DOI]

Gong Chen

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

ClassView: hierarchical video shot classification, indexing, and accessing.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2004

Exploring video content structure for hierarchical summarization.

[BibT_eX]

[DOI]

Multim. Syst., 2004

VDBMS: A testbed facility for research in video database benchmarking.

[BibT_eX]

[DOI]

Multim. Syst., 2004

Class Noise vs. Attribute Noise: A Quantitative Study.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2004

Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

OIDM: Online Interactive Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Data Acquisition with Active and Impact-Sensitive Instance Selection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

A hierarchical access control model for video database systems.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2003

Accessing Video Contents through Key Objects over IP.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2003

Hierarchical video content description and summarization using unified semantic and visual similarity.

[BibT_eX]

[DOI]

Multim. Syst., 2003

Mining Video Associations for Efficient Database Management.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Eliminating Class Noise in Large Datasets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Sequential association mining for video summarization.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Semantic principal video shot classification via mixture Gaussian.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Medical Video Mining for Efficient Database Indexing, Management and Access.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Data Engineering, 2003

2002

Model-Based Video Classification toward Hierarchical Representation, Indexing and Access.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2002

Hierarchical video summarization for medical data.

[BibT_eX]

[DOI]

Proceedings of the Storage and Retrieval for Media Databases 2002, 2002

Seeded image segmentation for content-based image retrieval application.

[BibT_eX]

[DOI]

Proceedings of the Storage and Retrieval for Media Databases 2002, 2002

Qualitative Camera Motion Classification for Content-Based Video Indexing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing, 2002

Semi-automatic Video Content Annotation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing, 2002

ClassMiner: mining medical video for scalable skimming and summarization.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

A Video Database Management System for Advancing Video Database Research.

[BibT_eX]

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.

[BibT_eX]

[DOI]

Jianping Fan

Ahmed K. Elmagarmid

Proceedings of the 2002 International Conference on Image Processing, 2002

A Distributed Database Server for Continuous Media.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jianping Fan

Lide Wu

IEEE Trans. Circuits Syst. Video Technol., 2001

New query refinement and semantics integrated image retrieval system with semiautomatic annotation scheme.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2001

MultiView: Multilevel video content representation and retrieval.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2001

Automatic Scene Detection in News Program by Integrating Visual Feature and Rules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing, 2001

Seeded Semantic Object Generation toward Content-Based Video Indexing.

[BibT_eX]

[DOI]

Jianping Fan