Huan Liu

Affiliations:
  • Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
  • National University of Singapore, School of Computing, Singapore (1994 - 2001)
  • Telecom Australia Research Laboratories, Melbourne, Australia (1989 - 1993)
  • University of Southern California, Los Angeles, CA, USA (PhD 1989)


According to our database1, Huan Liu authored at least 624 papers between 1988 and 2024.

Collaborative distances:

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Bibliography

2024
Adversarial Text Purification: A Large Language Model Approach for Defense.
CoRR, 2024

ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement.
CoRR, 2024

A Generative Approach to Surrogate-based Black-box Attacks.
CoRR, 2024

Causal Feature Selection for Responsible Machine Learning.
CoRR, 2024

Exploiting Class Probabilities for Black-box Sentence-level Attacks.
CoRR, 2024

Contextualization Distillation from Large Language Model for Knowledge Graph Completion.
CoRR, 2024

2023
Fast Secure Aggregation With High Dropout Resilience for Federated Learning.
IEEE Trans. Green Commun. Netw., September, 2023

CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations.
ACM Trans. Knowl. Discov. Data, February, 2023

Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation.
IEEE Trans. Netw. Sci. Eng., 2023

Causal Disentanglement for Implicit Recommendations with Network Information.
ACM Trans. Knowl. Discov. Data, 2023

Auction-Based Learning for Question Answering over Knowledge Graphs.
Inf., 2023

Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection.
IEEE Intell. Syst., 2023

Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention.
CoRR, 2023

Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey.
CoRR, 2023

Interpreting Pretrained Language Models via Concept Bottlenecks.
CoRR, 2023

VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization.
CoRR, 2023

Exploring Musical, Lyrical, and Network Dimensions of Music Sharing Among Depression Individuals.
CoRR, 2023

Disinformation Detection: An Evolving Challenge in the Age of LLMs.
CoRR, 2023

STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation.
CoRR, 2023

LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers?
CoRR, 2023

User Migration across Multiple Social Media Platforms.
CoRR, 2023

SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection.
CoRR, 2023

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection.
CoRR, 2023

J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News.
CoRR, 2023

Neural Authorship Attribution: Stylometric Analysis on Large Language Models.
CoRR, 2023

Causality Guided Disentanglement for Cross-Platform Hate Speech Detection.
CoRR, 2023

Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
CoRR, 2023

UPREVE: An End-to-End Causal Discovery Benchmarking System.
CoRR, 2023

Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach.
CoRR, 2023

Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study.
CoRR, 2023

Stylometric Detection of AI-Generated Text in Twitter Timelines.
CoRR, 2023

STERLING: Synergistic Representation Learning on Bipartite Graphs.
CoRR, 2023

Detecting Harmful Agendas in News Articles.
CoRR, 2023

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards Detecting Harmful Agendas in News Articles.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Inductive Linear Probing for Few-Shot Node Classification.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Contrastive Meta-Learning for Few-shot Node Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Virtual Node Tuning for Few-shot Node Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Socially Responsible Machine Learning: A Causal Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Strong Graph Neural Networks with Weak Information.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning Node Abnormality with Weak Supervision.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Fairness through Aleatoric Uncertainty.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Two-tier Shared Embedding Method for Review-based Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AISecKG: Knowledge Graph Dataset for Cybersecurity Education.
Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023

Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Socially Responsible AI - Theories and Practices
WorldScientific, ISBN: 9789811266645, 2023

2022
Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks.
IEEE Trans. Netw. Serv. Manag., 2022

Deep Graph Learning for Anomalous Citation Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Cross-Domain Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Social Bots and Their Coordination During Online Campaigns: A Survey.
IEEE Trans. Comput. Soc. Syst., 2022

Collaborative Filtering With Network Representation Learning for Citation Recommendation.
IEEE Trans. Big Data, 2022

Evaluation Methods and Measures for Causal Learning Algorithms.
IEEE Trans. Artif. Intell., 2022

ACM WSDM 2022 report.
SIGWEB Newsl., 2022

Data Augmentation for Deep Graph Learning: A Survey.
SIGKDD Explor., 2022

Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.
Neuroinformatics, 2022

Characterizing multi-domain false news and underlying user effects on Chinese Weibo.
Inf. Process. Manag., 2022

Foreword to the special issue on dis/misinformation mining from social media.
Inf. Process. Manag., 2022

Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands.
IEEE Internet Things J., 2022

Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education.
Inf., 2022

Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations".
Neurocomputing, 2022

Domain Generalization - A Causal Perspective.
CoRR, 2022

Learning with Few Labeled Nodes via Augmented Graph Self-Training.
CoRR, 2022

Improving Vaccine Stance Detection by Combining Online and Offline Data.
CoRR, 2022

Estimating Topic Exposure for Under-Represented Users on Social Media.
CoRR, 2022

CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research.
CoRR, 2022

Toward Understanding Bias Correlations for Mitigation in NLP.
CoRR, 2022

Causal Disentanglement with Network Information for Debiased Recommendations.
CoRR, 2022

A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning.
CoRR, 2022

Few-Shot Learning on Graphs: A Survey.
CoRR, 2022

Physics-Informed Graph Learning: A Survey.
CoRR, 2022

Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning.
CoRR, 2022

"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Domain Adaptive Fake News Detection via Reinforcement Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Few-shot Class-incremental Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Minimally-supervised Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Causal Mediation Analysis with Hidden Confounders.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Causal Disentanglement with Network Information for Debiased Recommendations.
Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

Bias Mitigation for Toxicity Detection via Sequential Decisions.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2022

Supervised Graph Contrastive Learning for Few-Shot Node Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification.
Proceedings of the Learning on Graphs Conference, 2022

Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery.
Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

The KDD 2022 Workshop on Causal Discovery (CD2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Toward Graph Minimally-Supervised Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Few-Shot Learning on Graphs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Text Transformations in Contrastive Self-Supervised Learning: A Review.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Generalized Few-Shot Node Classification.
Proceedings of the IEEE International Conference on Data Mining, 2022

Physics-Informed Graph Learning.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Query-Efficient Target-Agnostic Black-Box Attack.
Proceedings of the IEEE International Conference on Data Mining, 2022

PPSL: Privacy-Preserving Text Classification for Split Learning.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Debiasing Word Embeddings with Nonlinear Geometry.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Distributional Shift Adaptation using Domain-Specific Features.
Proceedings of the IEEE International Conference on Big Data, 2022

STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems.
Proceedings of the IEEE International Conference on Big Data, 2022

Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems.
Proceedings of the IEEE International Conference on Big Data, 2022

Exploring the Target Distribution for Surrogate-Based Black-Box Attacks.
Proceedings of the IEEE International Conference on Big Data, 2022

Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2022

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficient Continuous Big Data Integrity Checking for Decentralized Storage.
IEEE Trans. Netw. Sci. Eng., 2021

Guest Editorial: Scholarly Big Data.
IEEE Trans. Emerg. Top. Comput., 2021

Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks.
Trans. Data Sci., 2021

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.
IEEE Trans. Comput. Soc. Syst., 2021

To Your Surprise: Identifying Serendipitous Collaborators.
IEEE Trans. Big Data, 2021

Graph Learning: A Survey.
IEEE Trans. Artif. Intell., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.
SIGKDD Explor., 2021

Causal inference for time series analysis: problems, methods and evaluation.
Knowl. Inf. Syst., 2021

Incremental one-class collaborative filtering with co-evolving side networks.
Knowl. Inf. Syst., 2021

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges.
J. Artif. Intell. Res., 2021

Session-Based Cyberbullying Detection: Problems and Challenges.
IEEE Internet Comput., 2021

Detecting Fake News With Weak Social Supervision.
IEEE Intell. Syst., 2021

Guest Editorial: Non-IID Outlier Detection in Complex Contexts.
IEEE Intell. Syst., 2021

A Survey of Learning Causality with Data: Problems and Methods.
ACM Comput. Surv., 2021

A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation.
CoRR, 2021

Weakly-supervised Graph Meta-learning for Few-shot Node Classification.
CoRR, 2021

Mechanisms and Attributes of Echo Chambers in Social Media.
CoRR, 2021

FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements.
CoRR, 2021

"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis.
CoRR, 2021

Improving Cyberbullying Detection with User Interaction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Few-shot Network Anomaly Detection via Cross-network Meta-learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Long-Term Effect Estimation with Surrogate Representation.
Proceedings of the WSDM '21, 2021

Privacy Preserving Text Representation Learning Using BERT.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

The KDD 2021 Workshop on Causal Discovery (CD2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery.
Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

Causal Understanding of Fake News Dissemination on Social Media.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Comparative Survey: Benchmarking for Pool-based Active Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Causal Learning for Socially Responsible AI.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors.
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Generating Topic-Preserving Synthetic News.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Fact-Enhanced Synthetic News Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Combating disinformation in a social media age.
WIREs Data Mining Knowl. Discov., 2020

Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis.
ACM Trans. Intell. Syst. Technol., 2020

A Survey on Privacy in Social Media: Identification, Mitigation, and Applications.
Trans. Data Sci., 2020

Causal Interpretability for Machine Learning - Problems, Methods and Evaluation.
SIGKDD Explor., 2020

Feature selection for hierarchical classification via joint semantic and structural information of labels.
Knowl. Based Syst., 2020

Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery.
Frontiers Big Data, 2020

MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation.
CoRR, 2020

Improving Cyberbully Detection with User Interaction.
CoRR, 2020

Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach.
CoRR, 2020

Towards Causal Understanding of Fake News Dissemination.
CoRR, 2020

Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges.
CoRR, 2020

Toward Privacy and Utility Preserving Image Representation.
CoRR, 2020

CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions.
CoRR, 2020

Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
CoRR, 2020

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements.
CoRR, 2020

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media.
Big Data, 2020

Joint Spatial and Temporal Modeling for Hydrological Prediction.
IEEE Access, 2020

Learning Individual Causal Effects from Networked Observational Data.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Next-item Recommendation with Sequential Hypergraphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Representation Learning for Imbalanced Cross-Domain Classification.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Spatial Community-Informed Evolving Graphs for Demand Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Early Detection of Fake News with Multi-source Weak Social Supervision.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Debiasing Grid-based Product Search in E-commerce.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Inductive Anomaly Detection on Attributed Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Early Detection of Rumours on Twitter via Stance Transfer Learning.
Proceedings of the Advances in Information Retrieval, 2020

Learning Latent Perception Graphs for Personalized Unknowns Recommendation.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Causality and Uncertainty of Information for Content Understanding.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Tracking Disaster Footprints with Social Streaming Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Detecting Fake News on Social Media
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01915-9, 2019

Feature Learning from Social Graphs.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Towards privacy preserving social recommendation under personalized privacy settings.
World Wide Web, 2019

Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network.
IEEE Trans. Veh. Technol., 2019

Academic Team Formulation Based on Liebig's Barrel: Discovery of Anticask Effect.
IEEE Trans. Comput. Soc. Syst., 2019

"Identifying novel privacy issues of online users on social media platforms" by Ghazaleh Beigi and Huan Liu with Martin Vesely as coordinator.
SIGWEB Newsl., 2019

Misinformation in Social Media: Definition, Manipulation, and Detection.
SIGKDD Explor., 2019

Deep causal representation learning for unsupervised domain adaptation.
CoRR, 2019

Graph Neural Networks with High-order Feature Interactions.
CoRR, 2019

I Am Not What I Write: Privacy Preserving Text Representation Learning.
CoRR, 2019

Learning Individual Treatment Effects from Networked Observational Data.
CoRR, 2019

Applications of Social Media in Hydroinformatics: A Survey.
CoRR, 2019

A Novel Trend Symbolic Aggregate Approximation for Time Series.
CoRR, 2019

The Role of User Profile for Fake News Detection.
CoRR, 2019

Graph Neural Networks for User Identity Linkage.
CoRR, 2019

Robust Cyberbullying Detection with Causal Interpretation.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Signed Link Prediction with Sparse Data: The Role of Personality Information.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Fake News: Fundamental Theories, Detection Strategies and Challenges.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Beyond News Contents: The Role of Social Context for Fake News Detection.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Interactive Anomaly Detection on Attributed Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

XBully: Cyberbullying Detection within a Multi-Modal Context.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Debunking Rumors in Social Networks: A Timely Approach.
Proceedings of the 11th ACM Conference on Web Science, 2019

Abductive Causal Reasoning for Internet of Things.
Proceedings of the 2019 IEEE SmartWorld, 2019

Deep Anomaly Detection on Attributed Networks.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Exploiting Emojis for Sarcasm Detection.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration?
Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

Fake News Research: Theories, Detection Strategies, and Open Problems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

dEFEND: Explainable Fake News Detection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adaptive Unsupervised Feature Selection on Attributed Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

InterSpot: Interactive Spammer Detection in Social Media.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PI-Bully: Personalized Cyberbullying Detection with Peer Influence.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Novel Symbolic Aggregate Approximation for Time Series.
Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Privacy Preserving Text Representation Learning.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Smart CCR IoT: Internet of Things Testbed.
Proceedings of the 5th IEEE International Conference on Collaboration and Internet Computing, 2019

Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

dEFEND: A System for Explainable Fake News Detection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

BigScholar 2019: The 6th Workshop on Big Scholarly Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Causal Learning in Question Quality Improvement.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

A Practical Data Repository for Causal Learning with Big Data.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

The role of user profiles for fake news detection.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Multi-level network embedding with boosted low-rank matrix approximation.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Unsupervised Fake News Detection on Social Media: A Generative Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Detecting Crowdturfing in Social Media.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Social Provenance.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Time- and Event-Driven Modeling of Blogger Influence.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Cross-Validation.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Trust in Blogosphere.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Identifying Framing Bias in Online News.
ACM Trans. Soc. Comput., 2018

Exploring Hierarchical Structures for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2018

Random-Forest-Inspired Neural Networks.
ACM Trans. Intell. Syst. Technol., 2018

Understanding and Identifying Rhetorical Questions in Social Media.
ACM Trans. Intell. Syst. Technol., 2018

Exploiting Multilabel Information for Noise-Resilient Feature Selection.
ACM Trans. Intell. Syst. Technol., 2018

SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification.
Lang. Resour. Evaluation, 2018

Toward online node classification on streaming networks.
Data Min. Knowl. Discov., 2018

Feature Selection: A Data Perspective.
ACM Comput. Surv., 2018

Online Newton Step Algorithm with Estimated Gradient.
CoRR, 2018

FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media.
CoRR, 2018

Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation.
CoRR, 2018

Privacy in Social Media: Identification, Mitigation and Applications.
CoRR, 2018

Studying Fake News via Network Analysis: Detection and Mitigation.
CoRR, 2018

Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media.
CoRR, 2018

Cloud Information Retrieval: Model Description and Scheme Design.
IEEE Access, 2018

Understanding and Predicting Delay in Reciprocal Relations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

CrossFire: Cross Media Joint Friend and Item Recommendations.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Streaming Link Prediction on Dynamic Attributed Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Multi-Layered Network Embedding.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Toward Relational Learning with Misinformation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Understanding Cyber Attack Behaviors with Sentiment Information on Social Media.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

#metoo Through the Lens of Social Media.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Social Cyber-Security.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Similar but Different: Exploiting Users' Congruity for Recommendation Systems.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Understanding User Profiles on Social Media for Fake News Detection.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Multimodal Fusion of Brain Networks with Longitudinal Couplings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interactive Unknowns Recommendation in E-Learning Systems.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Headline Generation for Clickbait Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Securing Social Media User Data: An Adversarial Approach.
Proceedings of the 29th on Hypertext and Social Media, 2018

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Towards Explainable Networked Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

"Bridge": Enhanced Signed Directed Network Embedding.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Exploiting User Actions for App Recommendations.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

A Study of Reddit-User's Response to Rape.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Personalized Privacy-Preserving Social Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Exploiting Emotion on Reviews for Recommender Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Unsupervised Personalized Feature Selection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Feature Selection.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Time-Aware Personalized Location Recommendation.
Proceedings of the Encyclopedia of GIS., 2017

Facilitating Time Critical Information Seeking in Social Media.
IEEE Trans. Knowl. Data Eng., 2017

Big Scholarly Data: A Survey.
IEEE Trans. Big Data, 2017

Fake News Detection on Social Media: A Data Mining Perspective.
SIGKDD Explor., 2017

Intelligent Disaster Response via Social Media Analysis A Survey.
SIGKDD Explor., 2017

Legislative prediction with dual uncertainty minimization from heterogeneous information.
Stat. Anal. Data Min., 2017

Discovering, assessing, and mitigating data bias in social media.
Online Soc. Networks Media, 2017

Recent advances in feature selection and its applications.
Knowl. Inf. Syst., 2017

In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics.
J. Mach. Learn. Res., 2017

Challenges of Feature Selection for Big Data Analytics.
IEEE Intell. Syst., 2017

Exploiting Tri-Relationship for Fake News Detection.
CoRR, 2017

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications.
CoRR, 2017

Heroes and Zeroes: Predicting the Impact of New Video Games on Twitch.tv.
CoRR, 2017

What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Exploiting Hierarchical Structures for Unsupervised Feature Selection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Signed Network Embedding in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Using a Random Forest to Inspire a Neural Network and Improving on It.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Toward Personalized Relational Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Sentiment Informed Cyberbullying Detection in Social Media.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Collaborative Filtering via Different Preference Structures.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Unsupervised Feature Selection in Signed Social Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Reconstruction-based Unsupervised Feature Selection: An Embedded Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Radar: Residual Analysis for Anomaly Detection in Attributed Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Detecting Camouflaged Content Polluters.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Adaptive Spammer Detection with Sparse Group Modeling.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Early Identification of Personalized Trending Topics in Microblogging.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Attributed Signed Network Embedding.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

CLARE: A Joint Approach to Label Classification and Tag Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Unsupervised Sentiment Analysis with Signed Social Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

Exploring characteristics of suspended users and network stability on Twitter.
Soc. Netw. Anal. Min., 2016

User Identity Linkage across Online Social Networks: A Review.
SIGKDD Explor., 2016

Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties.
ACM J. Data Inf. Qual., 2016

Users joining multiple sites: Friendship and popularity variations across sites.
Inf. Fusion, 2016

The good, the bad, and the ugly: uncovering novel research opportunities in social media mining.
Int. J. Data Sci. Anal., 2016

Online Behavioral Analysis and Modeling [Guest Editorial].
IEEE Intell. Syst., 2016

Uncovering and Predicting Human Behaviors.
IEEE Intell. Syst., 2016

Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance.
EURASIP J. Bioinform. Syst. Biol., 2016

A Survey of Signed Network Mining in Social Media.
ACM Comput. Surv., 2016

SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification.
CoRR, 2016

Recommendations in Signed Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content.
Proceedings of the 25th International Conference on World Wide Web, 2016

Relational Learning with Social Status Analysis.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Understanding and Identifying Advocates for Political Campaigns on Social Media.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Node Classification in Signed Social Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Robust Unsupervised Feature Selection on Networked Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Exploiting Emotional Information for Trust/Distrust Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-Label Informed Feature Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Identifying Rhetorical Questions in Social Media.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Community Cores: Removing Size Bias from Community Detection.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Exploring Personal Attributes from Unprotected Interactions.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Signed Link Analysis in Social Media Networks.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Toward Time-Evolving Feature Selection on Dynamic Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

PPP: Joint Pointwise and Pairwise Image Label Prediction.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Paired Restricted Boltzmann Machine for Linked Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Linked Document Embedding for Classification.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

FeatureMiner: A Tool for Interactive Feature Selection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Finding requests in social media for disaster relief.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

A new approach to bot detection: Striking the balance between precision and recall.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

A Novel Measure for Coherence in Statistical Topic Models.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Predicting Online Protest Participation of Social Media Users.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Trust in Social Media
Synthesis Lectures on Information Security, Privacy, & Trust, Morgan & Claypool Publishers, ISBN: 978-3-031-02345-3, 2015

Mining Human Mobility in Location-Based Social Networks
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01908-1, 2015

CCCloud: Context-Aware and Credible Cloud Service Selection Based on Subjective Assessment and Objective Assessment.
IEEE Trans. Serv. Comput., 2015

Trust Evolution: Modeling and Its Applications.
IEEE Trans. Knowl. Data Eng., 2015

User Identification Across Social Media.
ACM Trans. Knowl. Discov. Data, 2015

Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging.
IEEE Trans. Big Data, 2015

Discovering Location Information in Social Media.
IEEE Data Eng. Bull., 2015

Addressing the cold-start problem in location recommendation using geo-social correlations.
Data Min. Knowl. Discov., 2015

Predicting Online Protest Participation of Social Media Users.
CoRR, 2015

Evaluation without ground truth in social media research.
Commun. ACM, 2015

Reports on the 2015 AAAI Spring Symposium Series.
AI Mag., 2015

Visualizing Social Media Sentiment in Disaster Scenarios.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

LIKE and Recommendation in Social Media.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Negative Link Prediction in Social Media.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Sarcasm Detection on Twitter: A Behavioral Modeling Approach.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Propagation-based Sentiment Analysis for Microblogging Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Local SVD Framework for Stable Feature Selection for Clustering.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Online diffusion source detection in social networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Unsupervised Sentiment Analysis for Social Media Images.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Exploring Implicit Hierarchical Structures for Recommender Systems.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Context-Aware Experience Extraction from Online Health Forums.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Real-Time Crisis Mapping Using Language Distribution.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Finding Time-Critical Responses for Information Seeking in Social Media.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Text, Topics, and Turkers: A Consensus Measure for Statistical Topics.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

10 Bits of Surprise: Detecting Malicious Users with Minimum Information.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Toward Dual Roles of Users in Recommender Systems.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Unsupervised Streaming Feature Selection in Social Media.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Cell analytics in compound hit selection of bacterial inhibitors.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Finding the Right Social Media Site for Questions.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

The Fragility of Twitter Social Networks Against Suspended Users.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Embedded Unsupervised Feature Selection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Leveraging Social Foci for Information Seeking in Social Media.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Content-Aware Point of Interest Recommendation on Location-Based Social Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Social Provenance.
Encyclopedia of Social Network Analysis and Mining, 2014

Time- and Event-Driven Modeling of Blogger Influence.
Encyclopedia of Social Network Analysis and Mining, 2014

Global and Local Structure Preservation for Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2014

An Unsupervised Feature Selection Framework for Social Media Data.
IEEE Trans. Knowl. Data Eng., 2014

Feature Selection for Social Media Data.
ACM Trans. Knowl. Discov. Data, 2014

User Vulnerability and Its Reduction on a Social Networking Site.
ACM Trans. Knowl. Discov. Data, 2014

Uncovering deception in social media.
Soc. Netw. Anal. Min., 2014

Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics.
Soc. Netw. Anal. Min., 2014

A Hierarchical Word-Merging Algorithm with Class Separability Measure.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Behavior Informatics: A New Perspective.
IEEE Intell. Syst., 2014

A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search.
Eng. Appl. Artif. Intell., 2014

From Tweets to Events: Exploring a Scalable Solution for Twitter Streams.
CoRR, 2014

Trust in social computing.
Proceedings of the 23rd International World Wide Web Conference, 2014

When is it biased?: assessing the representativeness of twitter's streaming API.
Proceedings of the 23rd International World Wide Web Conference, 2014

Leveraging knowledge across media for spammer detection in microblogging.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Finding Friends on a New Site Using Minimum Information.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Discriminant Analysis for Unsupervised Feature Selection.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Identifying Users with Opposing Opinions in Twitter Debates.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

Personalized location recommendation on location-based social networks.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Recommendation in social media: recent advances and new frontiers.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Users Joining Multiple Sites: Distributions and Patterns.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Social Spammer Detection with Sentiment Information.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Social Role Identification via Dual Uncertainty Minimization Regularization.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Is distrust the negation of trust?: the value of distrust in social media.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

A behavior analytics approach to identifying tweets from crisis regions.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Scalable learning of users' preferences using networked data.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

An efficient privacy preserving location based service system.
Proceedings of the IEEE Global Communications Conference, 2014

Predictability of Distrust with Interaction Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Finding Eyewitness Tweets During Crises.
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

Online Social Spammer Detection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Twitter Data Analytics
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4614-9371-6, 2014

Social Media Mining: An Introduction
Cambridge University Press, ISBN: 9781139088510, 2014

Feature Selection for Classification: A Review.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Provenance Data in Social Media
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01904-3, 2013

On Similarity Preserving Feature Selection.
IEEE Trans. Knowl. Data Eng., 2013

Social recommendation: a review.
Soc. Netw. Anal. Min., 2013

Mining social media with social theories: a survey.
SIGKDD Explor., 2013

Learning with multi-resolution overlapping communities.
Knowl. Inf. Syst., 2013

Unsupervised sentiment analysis with emotional signals.
Proceedings of the 22nd International World Wide Web Conference, 2013

Exploiting homophily effect for trust prediction.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Exploiting social relations for sentiment analysis in microblogging.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Mining Social Media: Challenges and Opportunities.
Proceedings of the 2013 International Conference on Social Intelligence and Technology, 2013

CoSelect: Feature Selection with Instance Selection for Social Media Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

ActNeT: Active Learning for Networked Texts in Microblogging.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Unsupervised Feature Selection for Multi-View Data in Social Media.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Measuring User Credibility in Social Media.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Context-aware review helpfulness rating prediction.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploring temporal effects for location recommendation on location-based social networks.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Connecting users across social media sites: a behavioral-modeling approach.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Understanding Twitter data with TweetXplorer.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A tool for collecting provenance data in social media.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Exploiting Local and Global Social Context for Recommendation.
Proceedings of the IJCAI 2013, 2013

Social Spammer Detection in Microblogging.
Proceedings of the IJCAI 2013, 2013

Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Whom should I follow?: identifying relevant users during crises.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

A tool for assisting provenance search in social media.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Seeking provenance of information using social media.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Modeling temporal effects of human mobile behavior on location-based social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Network denoising in social media.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Recovering information recipients in social media via provenance.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Near real time assessment of social media using geo-temporal network analytics.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Feature Selection for Clustering: A Review.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Scalable Learning of Collective Behavior.
IEEE Trans. Knowl. Data Eng., 2012

Identifying Evolving Groups in Dynamic Multimode Networks.
IEEE Trans. Knowl. Data Eng., 2012

Modeling blogger influence in a community.
Soc. Netw. Anal. Min., 2012

Enriching short text representation in microblog for clustering.
Frontiers Comput. Sci. China, 2012

Opening Doors to Sharing Social Media Data.
IEEE Intell. Syst., 2012

Community detection via heterogeneous interaction analysis.
Data Min. Knowl. Discov., 2012

Maximizing benefits from crowdsourced data.
Comput. Math. Organ. Theory, 2012

Social status and role analysis of palin's email network.
Proceedings of the 21st World Wide Web Conference, 2012

mTrust: discerning multi-faceted trust in a connected world.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Feature Selection with Linked Data in Social Media.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Lessons Learned in Using Social Media for Disaster Relief - ASU Crisis Response Game.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Real-World Behavior Analysis through a Social Media Lens.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

eTrust: understanding trust evolution in an online world.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Unsupervised feature selection for linked social media data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Navigating information facets on twitter (NIF-T).
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Exploring Social-Historical Ties on Location-Based Social Networks.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Discovering Trust Networks for the Selection of Trustworthy Service Providers in Complex Contextual Social Networks.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Supervised Low Rank Matrix Approximation for Stable Feature Selection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

gSCorr: modeling geo-social correlations for new check-ins on location-based social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Faceted Browsing over Social Media.
Proceedings of the Big Data Analytics, First International Conference, 2012

Text Analytics in Social Media.
Proceedings of the Mining Text Data, 2012

2011
Understanding online groups through social media.
WIREs Data Mining Knowl. Discov., 2011

Group Profiling for Understanding Social Structures.
ACM Trans. Intell. Syst. Technol., 2011

Erratum.
Int. J. Gen. Syst., 2011

Sensor networks: decentralized monitoring and subspace classification of events.
Int. J. Gen. Syst., 2011

Quantifying the trustworthiness of social media content.
Distributed Parallel Databases, 2011

Leveraging social media networks for classification.
Data Min. Knowl. Discov., 2011

Integrating Social Media Data for Community Detection.
Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Promoting Coordination for Disaster Relief - From Crowdsourcing to Coordination.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Information Provenance in Social Media.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Feature Selection Strategy in Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Exploiting vulnerability to secure user privacy on a social networking site.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

The Effect of the Characteristics of the Dataset on the Selection Stability.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Extracting geographic knowledge from sensor intervention data using spatial association rules.
Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

Document Clustering via Matrix Representation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Dilemma in Assessing Stability of Feature Selection Algorithms.
Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

Connecting users with similar interests via tag network inference.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Enhancing accessibility of microblogging messages using semantic knowledge.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Understanding User Migration Patterns in Social Media.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Data Mining in Social Media.
Proceedings of the Social Network Data Analytics, 2011

2010
Community Detection and Mining in Social Media
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01900-5, 2010

Clustering of Blog Sites Using Collective Wisdom.
Proceedings of the Computational Social Network Analysis, 2010

Graph Mining Applications to Social Network Analysis.
Proceedings of the Managing and Mining Graph Data, 2010

Feature Selection.
Proceedings of the Encyclopedia of Machine Learning, 2010

Introduction to the ACM TIST special issue AI in social computing and cultural modeling.
ACM Trans. Intell. Syst. Technol., 2010

Feature Selection: An Ever Evolving Frontier in Data Mining.
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

Preface.
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

WisColl: Collective wisdom based blog clustering.
Inf. Sci., 2010

Guest Editors' Introduction: Social Computing in the Blogosphere.
IEEE Internet Comput., 2010

Toward Predicting Collective Behavior via Social Dimension Extraction.
IEEE Intell. Syst., 2010

An Integrative Approach to Indentifying Biologically Relevant Genes.
Proceedings of the SIAM International Conference on Data Mining, 2010

Sentiment Propagation in Social Networks: A Case Study in LiveJournal.
Proceedings of the Advances in Social Computing, 2010

A Social Network Analysis Approach to Detecting Suspicious Online Financial Activities.
Proceedings of the Advances in Social Computing, 2010

Convergence of Influential Bloggers for Topic Discovery in the Blogosphere.
Proceedings of the Advances in Social Computing, 2010

Network quantification despite biased labels.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

A multi-resolution approach to learning with overlapping communities.
Proceedings of the First Workshop on Social Media Analytics, 2010

Discovering Overlapping Groups in Social Media.
Proceedings of the ICDM 2010, 2010

Biological Relevance Detection via Network Dynamic Analysis.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010

Efficient Spectral Feature Selection with Minimum Redundancy.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Understanding Group Structures and Properties in Social Media.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Modeling and Data Mining in Blogosphere
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01898-5, 2009

Cross-Validation.
Proceedings of the Encyclopedia of Database Systems, 2009

Trust in Blogosphere.
Proceedings of the Encyclopedia of Database Systems, 2009

Bridging Taxonomic Semantics to Accurate Hierarchical Classification.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Manipulating Data and Dimension Reduction Methods: Feature Selection.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Searching for interacting features in subset selection.
Intell. Data Anal., 2009

Evaluating the trustworthiness of Wikipedia articles through quality and credibility.
Proceedings of the 2009 International Symposium on Wikis, 2009

Relational learning via latent social dimensions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Multiclass Probabilistic Kernel Discriminant Analysis.
Proceedings of the IJCAI 2009, 2009

Connecting Corresponding Identities across Communities.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

A Social Identity Approach to Identify Familiar Strangers in a Social Network.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Integrating Knowledge in Search of Biologically Relevant Genes.
Proceedings of the ICDM Workshops 2009, 2009

Uncoverning Groups via Heterogeneous Interaction Analysis.
Proceedings of the ICDM 2009, 2009

Connecting Sparsely Distributed Similar Bloggers.
Proceedings of the ICDM 2009, 2009

Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Scalable learning of collective behavior based on sparse social dimensions.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Dimensionality Reduction.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Topic taxonomy adaptation for group profiling.
ACM Trans. Knowl. Discov. Data, 2008

Blogosphere: research issues, tools, and applications.
SIGKDD Explor., 2008

Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis.
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

Completing missing views for multiple sources of web media.
Int. J. Data Min. Model. Manag., 2008

Identifying the influential bloggers in a community.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Identifying biologically relevant genes via multiple heterogeneous data sources.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Heterogeneous data fusion for alzheimer's disease study.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Community evolution in dynamic multi-mode networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Robust integration of multiple information sources by view completion.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

Clustering Blogs with Collective Wisdom.
Proceedings of the Eighth International Conference on Web Engineering, 2008

Socialtagger - collaborative tagging for blogs in the long tail.
Proceedings of the Proceeding of the 2008 ACM Workshop on Search in Social Media, 2008

Understanding the Effects of Sampling on Healthcare Risk Modeling for the Prediction of Future High-Cost Patients.
Proceedings of the Biomedical Engineering Systems and Technologies, 2008

Healthcare Risk Modeling for Medicaid Patients - The Impact of Sampling on the Prediction of High-Cost Patients.
Proceedings of the First International Conference on Health Informatics, 2008

Searching for "Familiar Strangers" on Blogosphere.
Proceedings of the Next Generation of Data Mining., 2008

2007
Semi-supervised Feature Selection via Spectral Analysis.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Time-dependent event hierarchy construction.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Nonlinear adaptive distance metric learning for clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Searching for Interacting Features.
Proceedings of the IJCAI 2007, 2007

Spectral feature selection for supervised and unsupervised learning.
Proceedings of the Machine Learning, 2007

Adaptive Distance Metric Learning for Clustering.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Predicting Future High-Cost Patients: A Real-World Risk Modeling Application.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
Blocking objectionable web content by leveraging multiple information sources.
SIGKDD Explor., 2006

Discovering mappings in hierarchical data from multiple sources using the inherent structure.
Knowl. Inf. Syst., 2006

A Subspace Clustering Framework for Research Group Collaboration.
Int. J. Inf. Technol. Web Eng., 2006

Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Feature subset selection bias for classification learning.
Proceedings of the Machine Learning, 2006

A Balanced Ensemble Approach to Weighting Classifiers for Text Classification.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Toward Integrating Feature Selection Algorithms for Classification and Clustering.
IEEE Trans. Knowl. Data Eng., 2005

Evolving Feature Selection.
IEEE Intell. Syst., 2005

CubeSVD: a novel approach to personalized Web search.
Proceedings of the 14th international conference on World Wide Web, 2005

Research Paper Recommender Systems: A Subspace Clustering Approach.
Proceedings of the Advances in Web-Age Information Management, 2005

A Novel Approach to Model Generation for Heterogeneous Data Classification.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning with Labeled Sessions.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Bias Analysis in Text Classification for Highly Skewed Data.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Error-Sensitive Grading for Model Combination.
Proceedings of the Machine Learning: ECML 2005, 2005

BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers.
Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

2004
Subspace clustering for high dimensional data: a review.
SIGKDD Explor., 2004

Efficient Feature Selection via Analysis of Relevance and Redundancy.
J. Mach. Learn. Res., 2004

A selective sampling approach to active feature selection.
Artif. Intell., 2004

Compact Dual Ensembles for Active Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Redundancy based feature selection for microarray data.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Robust feature induction for support vector machines.
Proceedings of the Machine Learning, 2004

SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
Fast hierarchical clustering and its validation.
Data Knowl. Eng., 2003

Consistency-based search in feature selection.
Artif. Intell., 2003

Active Feature Selection Using Classes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Efficiently handling feature redundancy in high-dimensional data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution.
Proceedings of the Machine Learning, 2003

2002
On Issues of Instance Selection.
Data Min. Knowl. Discov., 2002

Discretization: An Enabling Technique.
Data Min. Knowl. Discov., 2002

Feature Selection with Selective Sampling.
Proceedings of the Machine Learning, 2002

Feature Selection for Clustering - A Filter Solution.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Toward Multidatabase Mining: Identifying Relevant Databases.
IEEE Trans. Knowl. Data Eng., 2001

Resource Description Framework: Metadata and Its Applications.
SIGKDD Explor., 2001

Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions.
Proceedings of the Knowledge Discovery and Data Mining, 2001

Efficient Yet Accurate Clustering.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

'1 + 1 > 2': Merging Distance and Density Based Clustering.
Proceedings of the Database Systems for Advanced Applications, Proceedings of the 7th International Conference on Database Systems for Advanced Applications (DASFAA 2001), 18-20 April 2001, 2001

2000
Exception Rule Mining with a Relative Interestingness Measure.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Consistency Based Feature Selection.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Feature Selection for Clustering.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Sampling from Databases Using B+-Trees.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

1999
A connectionist approach to generating oblique decision trees.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Efficient Search of Reliable Exceptions.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Handling Large Unsupervised Data via Dimensionality Reduction.
Proceedings of the 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999

Feature Selection Using Consistency Measure.
Proceedings of the Discovery Science, 1999

Mining Weak Rules.
Proceedings of the 23rd International Computer Software and Applications Conference (COMPSAC '99), 1999

1998
Guest Editors' Introduction: Feature Transformation and Subset Selection.
IEEE Intell. Syst., 1998

Analysis of Hidden Representations by Greedy Clustering.
Connect. Sci., 1998

Incremental Feature Selection.
Appl. Intell., 1998

Hybrid Search of Feature Subsets.
Proceedings of the PRICAI'98, 1998

Identifying Relevant Databases for Multidatabase Mining.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

Fragmentation problem and automated feature construction.
Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998

A Monotonic Measure for Optimal Feature Selection.
Proceedings of the Machine Learning: ECML-98, 1998

Feature Transformation and Multivariate Decision Tree Induction.
Proceedings of the Discovery Science, 1998

Feature Selection for Knowledge Discovery and Data Mining
The Springer International Series in Engineering and Computer Science 454, Kluwer, ISBN: 978-1-4615-5689-3, 1998

1997
Neural-network feature selector.
IEEE Trans. Neural Networks, 1997

Feature Selection via Discretization.
IEEE Trans. Knowl. Data Eng., 1997

NeuroLinear: From neural networks to oblique decision rules.
Neurocomputing, 1997

Feature Selection for Classification.
Intell. Data Anal., 1997

NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks.
Proceedings of the Machine Learning: ECML-97, 1997

1996
Effective Data Mining Using Neural Networks.
IEEE Trans. Knowl. Data Eng., 1996

Dimensionality reduction via discretization.
Knowl. Based Syst., 1996

Symbolic Representation of Neural Networks.
Computer, 1996

Improving Backpropagation Learning with Feature Selection.
Appl. Intell., 1996

Feature Selection and Classification - A Probabilistic Wrapper Approach.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

A Probabilistic Approach to Feature Selection - A Filter Solution.
Proceedings of the Machine Learning, 1996

1995
NeuroRule: A Connectionist Approach to Data Mining.
Proceedings of the VLDB'95, 1995

Understanding Neural Networks via Rule Extraction.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Chi2: feature selection and discretization of numeric attributes.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

Towards Effective Classfication Rule Extraction (Abstract).
Proceedings of the DOOD 1995 Post-Conference Workshops on Integration of Knowledge Discovery in Databases with Deductive and Object-Oriented Databases (KDOOD) and Temporal Reasoning in Deductive and Object-Oriented Databases (TDOOD), 1995

1993
Knowledge-based control of grasping in robot hands using heuristics from human motor skills.
IEEE Trans. Robotics Autom., 1993

1989
The multi-dimensional quality of task requirements for dextrous robot hand control.
Proceedings of the 1989 IEEE International Conference on Robotics and Automation, 1989

1988
Robot hand-eye coordination: shape description and grasping.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

Building a generic architecture for robot hand control.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988


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