Qiang Yang

According to our database1, Qiang Yang
  • authored at least 444 papers between 1989 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
State of the Journal Editorial.
IEEE Trans. Big Data, 2018

Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning.
CoRR, 2018

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Building Ethics into Artificial Intelligence.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Opportunistic Work-Rest Scheduling for Productive Aging.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

SmartHS: An AI Platform for Improving Government Service Provision.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Personalizing a Dialogue System With Transfer Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Transferable Contextual Bandit for Cross-Domain Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Transfer Learning for Behavior Ranking.
ACM TIST, 2017

State of the Journal Editorial.
IEEE Trans. Big Data, 2017

Big Data.
IEEE Intelligent Systems, 2017

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System.
CoRR, 2017

Flexible End-to-End Dialogue System for Knowledge Grounded Conversation.
CoRR, 2017

Learning to Transfer.
CoRR, 2017

A Survey on Multi-Task Learning.
CoRR, 2017

Ridesourcing Car Detection by Transfer Learning.
CoRR, 2017

A unified framework of active transfer learning for cross-system recommendation.
Artif. Intell., 2017

Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation.
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Understanding How Feature Structure Transfers in Transfer Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Neural Networks for High Dimension, Low Sample Size Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Sparse Task Relations in Multi-Task Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Distant Domain Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Transitive Hashing Network for Heterogeneous Multimedia Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Individual Judgments Versus Consensus: Estimating Query-URL Relevance.
TWEB, 2016

Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization.
IEEE Trans. Knowl. Data Eng., 2016

Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search.
TKDD, 2016

Telco User Activity Level Prediction with Massive Mobile Broadband Data.
ACM TIST, 2016

Transfer Learning for Semisupervised Collaborative Recommendation.
TiiS, 2016

Personalizing a Dialogue System with Transfer Learning.
CoRR, 2016

Partially Observable Markov Decision Process for Recommender Systems.
CoRR, 2016

Transitive Hashing Network for Heterogeneous Multimedia Retrieval.
CoRR, 2016

Cross-Domain Data Fusion.
IEEE Computer, 2016

The Lifecycle and Cascade of WeChat Social Messaging Groups.
Proceedings of the 25th International Conference on World Wide Web, 2016

Correlated Tag Learning in Topic Model.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Transfer Knowledge between Cities.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

City-Scale Map Creation and Updating using GPS Collections.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Deep Visual-Semantic Hashing for Cross-Modal Retrieval.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Matrix Factorization+ for Movie Recommendation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Collaborative Evolution for User Profiling in Recommender Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-Domain Active Learning for Recommendation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Infusing Human Factors into Algorithmic Crowdsourcing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification.
IEEE Trans. Image Processing, 2015

Introduction to the IEEE Transactions on Big Data.
IEEE Trans. Big Data, 2015

Differential Privacy in Telco Big Data Platform.
PVLDB, 2015

The Lifecycle and Cascade of Social Messaging Groups.
CoRR, 2015

PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies.
Bioinformatics, 2015

Scalable Parallel EM Algorithms for Latent Dirichlet Allocation in Multi-Core Systems.
Proceedings of the 24th International Conference on World Wide Web, 2015

Question Classification by Approximating Semantics.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Telco Churn Prediction with Big Data.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

User Modeling in Telecommunications and Internet Industry.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Transitive Transfer Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Preface.
Proceedings of the 4th International Workshop on Big Data, 2015

Sampling Big Trajectory Data.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Mining target users for online marketing based on App Store data.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

Efficient Task Sub-Delegation for Crowdsourcing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

RAIN: Social Role-Aware Information Diffusion.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Spectral Label Refinement for Noisy and Missing Text Labels.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Content-Based Collaborative Filtering for News Topic Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Transfer Learning with Graph Co-Regularization.
IEEE Trans. Knowl. Data Eng., 2014

User behavior learning and transfer in composite social networks.
TKDD, 2014

Multi-transfer: Transfer learning with multiple views and multiple sources.
Statistical Analysis and Data Mining, 2014

OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data.
PVLDB, 2014

Bird Flu Outbreak Prediction via Satellite Tracking.
IEEE Intelligent Systems, 2014

Friendship Prediction in Composite Social Networks.
CoRR, 2014

Towards Topic Modeling for Big Data.
CoRR, 2014

Learning hierarchical task network domains from partially observed plan traces.
Artif. Intell., 2014

Action-model acquisition for planning via transfer learning.
Artif. Intell., 2014

Adaptive User Distance Modeling in Social Media.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Mixed-Transfer: Transfer Learning over Mixed Graphs.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Crowdsourced time-sync video tagging using temporal and personalized topic modeling.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Scalable heterogeneous translated hashing.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Temporal skeletonization on sequential data: patterns, categorization, and visualization.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Preface.
Proceedings of the 3rd International Workshop on Big Data, 2014

Source Free Transfer Learning for Text Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

Feature engineering for semantic place prediction.
Pervasive and Mobile Computing, 2013

User demographics prediction based on mobile data.
Pervasive and Mobile Computing, 2013

Artificial Intelligence on Mobile Devices: An Introduction to the Special Issue.
AI Magazine, 2013

Transfer learning in heterogeneous collaborative filtering domains.
Artif. Intell., 2013

Big data, lifelong machine learning and transfer learning.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Selective Transfer Learning for Cross Domain Recommendation.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

SMART: Semi-Supervised Music Emotion Recognition with Social Tagging.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Contextual rule-based feature engineering for author-paper identification.
Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Modeling the dynamics of composite social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Collaborative boosting for activity classification in microblogs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cross-task crowdsourcing.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels.
Proceedings of the 30th International Conference on Machine Learning, 2013

General Functional Matrix Factorization Using Gradient Boosting.
Proceedings of the 30th International Conference on Machine Learning, 2013

Predicting user activity level in social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Lifelong Machine Learning Systems: Beyond Learning Algorithms.
Proceedings of the Lifelong Machine Learning, 2013

Active Transfer Learning for Cross-System Recommendation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering
Synthesis Lectures on Engineering, Morgan & Claypool Publishers, 2012

Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010).
ACM TIST, 2012

Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models.
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Preface.
J. Comput. Sci. Technol., 2012

Where Is the User in Multimedia Retrieval?
IEEE MultiMedia, 2012

SMS Spam Detection Using Noncontent Features.
IEEE Intelligent Systems, 2012

Selective Transfer Learning for Cross Domain Recommendation
CoRR, 2012

Inferring Taxi Status Using GPS Trajectories
CoRR, 2012

Towards mobile intelligence: Learning from GPS history data for collaborative recommendation.
Artif. Intell., 2012

A habit mining approach for discovering similar mobile users.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Personalized click model through collaborative filtering.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

A noise-aware click model for web search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Beyond ten blue links: enabling user click modeling in federated web search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

A Machine Learning Approach for Instance Matching Based on Similarity Metrics.
Proceedings of the Semantic Web - ISWC 2012, 2012

Contextual Collaborative Filtering via Hierarchical Matrix Factorization.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Discriminative Factor Alignment across Heterogeneous Feature Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Action-Model Based Multi-agent Plan Recognition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Transfer Learning and Applications.
Proceedings of the Intelligent Information Processing VI, 2012

Surrounding context and episode awareness using dynamic Bluetooth data.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Social recommendation across multiple relational domains.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Social contextual recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Cross-Domain Co-Extraction of Sentiment and Topic Lexicons.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Discovering Spammers in Social Networks.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

A Mouse-Trajectory Based Model for Predicting Query-URL Relevance.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning in Collaborative Filtering with Uncertain Ratings.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning with Graph Co-Regularization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning for Text Mining.
Proceedings of the Mining Text Data, 2012

2011
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier.
IEEE Trans. Neural Networks, 2011

Domain Adaptation via Transfer Component Analysis.
IEEE Trans. Neural Networks, 2011

Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction.
IEEE Trans. Knowl. Data Eng., 2011

Introduction to the special issue on intelligent systems for activity recognition.
ACM TIST, 2011

Introduction to special issue on computational sustainability.
ACM TIST, 2011

Multitask Learning for Protein Subcellular Location Prediction.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

A conversation with the Chinese KDD leaders.
SIGKDD Explorations, 2011

Cross-domain activity recognition via transfer learning.
Pervasive and Mobile Computing, 2011

Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009).
Knowl. Inf. Syst., 2011

A Survey of Transfer and Multitask Learning in Bioinformatics.
JCSE, 2011

Multi-platform gene-expression mining and marker gene analysis.
IJDMB, 2011

Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization.
Data Min. Knowl. Discov., 2011

A hidden two-locus disease association pattern in genome-wide association studies.
BMC Bioinformatics, 2011

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies.
BMC Bioinformatics, 2011

Identifying disease-associated SNP clusters via contiguous outlier detection.
Bioinformatics, 2011

Transfer Learning by Reusing Structured Knowledge.
AI Magazine, 2011

Characterizing search intent diversity into click models.
Proceedings of the 20th International Conference on World Wide Web, 2011

Wisdom of the better few: cold start recommendation via representative based rating elicitation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset.
Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

User-click modeling for understanding and predicting search-behavior.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction.
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

User-Dependent Aspect Model for Collaborative Activity Recognition.
Proceedings of the IJCAI 2011, 2011

Source-Selection-Free Transfer Learning.
Proceedings of the IJCAI 2011, 2011

Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks.
Proceedings of the IJCAI 2011, 2011

Incorporating Reviewer and Product Information for Review Rating Prediction.
Proceedings of the IJCAI 2011, 2011

Transfer Learning for Activity Recognition via Sensor Mapping.
Proceedings of the IJCAI 2011, 2011

Distance Metric Learning under Covariate Shift.
Proceedings of the IJCAI 2011, 2011

Characterizing Inverse Time Dependency in Multi-class Learning.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Transferring topical knowledge from auxiliary long texts for short text clustering.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Learning action models for multi-agent planning.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Cross-Domain Action-Model Acquisition for Planning via Web Search.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

Heterogeneous Transfer Learning for Image Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Transfer Learning by Structural Analogy.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Active Dual Collaborative Filtering with Both Item and Attribute Feedback.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

A Whole Page Click Model to Better Interpret Search Engine Click Data.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Activity Recognition from Trajectory Data.
Proceedings of the Computing with Spatial Trajectories, 2011

2010
Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA.
IEEE Trans. Knowl. Data Eng., 2010

Bridging Domains Using World Wide Knowledge for Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2010

A Survey on Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2010

Introduction to ACM TIST.
ACM TIST, 2010

Preface.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Three challenges in data mining.
Frontiers Comput. Sci. China, 2010

Social Learning.
IEEE Intelligent Systems, 2010

Introduction to Mobile Information Retrieval.
IEEE Intelligent Systems, 2010

Acquiring knowledge from inconsistent data sources through weighting.
Data Knowl. Eng., 2010

Vlogging: A survey of videoblogging technology on the web.
ACM Comput. Surv., 2010

BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies
CoRR, 2010

Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso.
BMC Bioinformatics, 2010

Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study.
BMC Bioinformatics, 2010

In-silico prediction of blood-secretory human proteins using a ranking algorithm.
BMC Bioinformatics, 2010

Detecting two-locus associations allowing for interactions in genome-wide association studies.
Bioinformatics, 2010

Predictive rule inference for epistatic interaction detection in genome-wide association studies.
Bioinformatics, 2010

Learning complex action models with quantifiers and logical implications.
Artif. Intell., 2010

Collaborative location and activity recommendations with GPS history data.
Proceedings of the 19th International Conference on World Wide Web, 2010

Cross-domain sentiment classification via spectral feature alignment.
Proceedings of the 19th International Conference on World Wide Web, 2010

Predictive Modeling with Heterogeneous Sources.
Proceedings of the SIAM International Conference on Data Mining, 2010

Generalized and Heuristic-Free Feature Construction for Improved Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2010

Online evolutionary collaborative filtering.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Indoor localization in multi-floor environments with reduced effort.
Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Unifying explicit and implicit feedback for collaborative filtering.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

An effective approach for mining mobile user habits.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Predicting chemical activities from structures by attributed molecular graph classification.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Relational network-service clustering analysis with set evidences.
Proceedings of the 3rd ACM Workshop on Security and Artificial Intelligence, 2010

Protein-protein interaction prediction via Collective Matrix Factorization.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Transfer Learning in Collaborative Filtering for Sparsity Reduction.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Visual Contextual Advertising: Bringing Textual Advertisements to Images.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Clickthrough Log Analysis by Collaborative Ranking.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Adaptive Transfer Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
User language model for collaborative personalized search.
ACM Trans. Inf. Syst., 2009

Discriminatively regularized least-squares classification.
Pattern Recognition, 2009

Editorial: special issue on selected papers of PAKDD 2007.
Knowl. Inf. Syst., 2009

Semantic Sensor Net: an extensible framework.
IJAHUC, 2009

Semi-supervised protein subcellular localization.
BMC Bioinformatics, 2009

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.
BMC Bioinformatics, 2009

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.
Bioinformatics, 2009

Identifying vertical search intention of query through social tagging propagation.
Proceedings of the 18th International Conference on World Wide Web, 2009

Context-aware query classification.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Relaxed Transfer of Different Classes via Spectral Partition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

Message from the Workshop Co-Organizers.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

LoSeCo: Location-based Search Computing for Pervasive Device Augmentation.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

Transfer Learning Action Models by Measuring the Similarity of Different Domains.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Learning HTN Method Preconditions and Action Models from Partial Observations.
Proceedings of the IJCAI 2009, 2009

Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields.
Proceedings of the IJCAI 2009, 2009

Activity Recognition: Linking Low-level Sensors to High-level Intelligence.
Proceedings of the IJCAI 2009, 2009

Domain Adaptation via Transfer Component Analysis.
Proceedings of the IJCAI 2009, 2009

Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction.
Proceedings of the IJCAI 2009, 2009

Abnormal Activity Recognition Based on HDP-HMM Models.
Proceedings of the IJCAI 2009, 2009

Transfer learning for collaborative filtering via a rating-matrix generative model.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

EigenTransfer: a unified framework for transfer learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework.
Proceedings of the ICDM 2009, 2009

Knowledge Transfer among Heterogeneous Information Networks.
Proceedings of the ICDM Workshops 2009, 2009

Constraint-Based Case-Based Planning Using Weighted MAX-SAT.
Proceedings of the Case-Based Reasoning Research and Development, 2009

Cross-domain activity recognition.
Proceedings of the UbiComp 2009: Ubiquitous Computing, 2009

Joint learning user's activities and profiles from GPS data.
Proceedings of the 2009 International Workshop on Location Based Social Networks, 2009

Exploiting term relationship to boost text classification.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Probabilistic latent preference analysis for collaborative filtering.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

PQC: personalized query classification.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Transfer Learning beyond Text Classification.
Proceedings of the Advances in Machine Learning, 2009

Context-Aware Online Commercial Intention Detection.
Proceedings of the Advances in Machine Learning, 2009

Heterogeneous Transfer Learning for Image Clustering via the SocialWeb.
Proceedings of the ACL 2009, 2009

2008
Activity recognition via user-trace segmentation.
TOSN, 2008

Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation.
IEEE Trans. Mob. Comput., 2008

Sensor-Based Abnormal Human-Activity Detection.
IEEE Trans. Knowl. Data Eng., 2008

Two-dimensional Laplacianfaces method for face recognition.
Pattern Recognition, 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Estimating Location Using Wi-Fi.
IEEE Intelligent Systems, 2008

Can chinese web pages be classified with english data source?
Proceedings of the 17th International Conference on World Wide Web, 2008

Deep classifier: automatically categorizing search results into large-scale hierarchies.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Personal name classification in web queries.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Deep classification in large-scale text hierarchies.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Topic-bridged PLSA for cross-domain text classification.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

EigenRank: a ranking-oriented approach to collaborative filtering.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Enhancing text clustering by leveraging Wikipedia semantics.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Web query translation via web log mining.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Transferring Knowledge from Another Domain for Learning Action Models.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Learning Bidirectional Similarity for Collaborative Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Digital Wall: A Power-efficient Solution for Location-based Data Sharing.
Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

Translated Learning: Transfer Learning across Different Feature Spaces.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Spectral domain-transfer learning.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Structural Support Vector Machine.
Proceedings of the Advances in Neural Networks, 2008

Adaptive p-posterior mixture-model kernels for multiple instance learning.
Proceedings of the Machine Learning, 2008

Dirichlet component analysis: feature extraction for compositional data.
Proceedings of the Machine Learning, 2008

Self-taught clustering.
Proceedings of the Machine Learning, 2008

Learning Action Models with Quantified Conditional Effects for Software Requirement Specification.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

TOFA: Trace Oriented Feature Analysis in Text Categorization.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

One-Class Collaborative Filtering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Real world activity recognition with multiple goals.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

An Introduction to Transfer Learning.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

Transferring Localization Models over Time.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transferring Multi-device Localization Models using Latent Multi-task Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Constraint Projections for Ensemble Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transferring Localization Models across Space.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transfer Learning via Dimensionality Reduction.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

CIGAR: Concurrent and Interleaving Goal and Activity Recognition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Mining Translations of Web Queries from Web Click-through Data.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Reducing the Calibration Effort for Probabilistic Indoor Location Estimation.
IEEE Trans. Mob. Comput., 2007

Extracting Actionable Knowledge from Decision Trees.
IEEE Trans. Knowl. Data Eng., 2007

Strong Compound-Risk Factors: Efficient Discovery Through Emerging Patterns and Contrast Sets.
IEEE Trans. Information Technology in Biomedicine, 2007

Multilinear Discriminant Analysis for Face Recognition.
IEEE Trans. Image Processing, 2007

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

ARMS: an automatic knowledge engineering tool for learning action models for AI planning.
Knowledge Eng. Review, 2007

A cognitive approach for agent-based personalized recommendation.
Knowl.-Based Syst., 2007

Noise reduction through summarization for Web-page classification.
Inf. Process. Manage., 2007

Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases.
IEEE Intelligent Systems, 2007

Domain-Driven, Actionable Knowledge Discovery.
IEEE Intelligent Systems, 2007

Learning action models from plan examples using weighted MAX-SAT.
Artif. Intell., 2007

Mining competent case bases for case-based reasoning.
Artif. Intell., 2007

Exploring in the weblog space by detecting informative and affective articles.
Proceedings of the 16th International Conference on World Wide Web, 2007

Discovering Patterns of DNA Methylation: Rule Mining with Rough Sets and Decision Trees, and Comethylation Analysis.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Domain-constrained semi-supervised mining of tracking models in sensor networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Co-clustering based classification for out-of-domain documents.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Document Summarization Using Conditional Random Fields.
Proceedings of the IJCAI 2007, 2007

Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian.
Proceedings of the IJCAI 2007, 2007

Detect and Track Latent Factors with Online Nonnegative Matrix Factorization.
Proceedings of the IJCAI 2007, 2007

Boosting for transfer learning.
Proceedings of the Machine Learning, 2007

Feature selection in a kernel space.
Proceedings of the Machine Learning, 2007

Document Transformation for Multi-label Feature Selection in Text Categorization.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Semi-Supervised Learning with Very Few Labeled Training Examples.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Mining Web Query Hierarchies from Clickthrough Data.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Online Co-Localization in Indoor Wireless Networks by Dimension Reduction.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Transferring Naive Bayes Classifiers for Text Classification.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Query enrichment for web-query classification.
ACM Trans. Inf. Syst., 2006

Test-Cost Sensitive Classification on Data with Missing Values.
IEEE Trans. Knowl. Data Eng., 2006

Effective and Efficient Dimensionality Reduction for Large-Scale and Streaming Data Preprocessing.
IEEE Trans. Knowl. Data Eng., 2006

Learning Contextual Dependency Network Models for Link-Based Classification.
IEEE Trans. Knowl. Data Eng., 2006

Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing.
IEEE Trans. Knowl. Data Eng., 2006

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

Power-Efficient Access-Point Selection for Indoor Location Estimation.
IEEE Trans. Knowl. Data Eng., 2006

A scalable supervised algorithm for dimensionality reduction on streaming data.
Inf. Sci., 2006

10 Challenging Problems in Data Mining Research.
International Journal of Information Technology and Decision Making, 2006

Mining Adaptive Ratio Rules from Distributed Data Sources.
Data Min. Knowl. Discov., 2006

Reinforcing Web-object Categorization Through Interrelationships.
Data Min. Knowl. Discov., 2006

Discovering Classification from Data of Multiple Sources.
Data Min. Knowl. Discov., 2006

A comparison of implicit and explicit links for web page classification.
Proceedings of the 15th international conference on World Wide Web, 2006

Thread detection in dynamic text message streams.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Building bridges for web query classification.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

A Novel Scalable Algorithm for Supervised Subspace Learning.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Latent Friend Mining from Blog Data.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Adding Semantics to Email Clustering.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Diverse Topic Phrase Extraction through Latent Semantic Analysis.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Text Classification Improved through Automatically Extracted Sequences.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Text classification improved through multigram models.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking.
Proceedings of the Proceedings, 2006

2005
Guest Editors' Introduction: Special Section on Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng., 2005

Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2.
IEEE/ACM Trans. Comput. Biology Bioinform., 2005

Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1.
IEEE/ACM Trans. Comput. Biology Bioinform., 2005

Q2C@UST: our winning solution to query classification in KDDCUP 2005.
SIGKDD Explorations, 2005

Advances in conversational case-based reasoning.
Knowledge Eng. Review, 2005

Learning quantifiable associations via principal sparse non-negative matrix factorization.
Intell. Data Anal., 2005

Guest Editors' Introduction: Data Mining in Bioinformatics.
IEEE Intelligent Systems, 2005

Mining Customer Value: From Association Rules to Direct Marketing.
Data Min. Knowl. Discov., 2005

Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops
CoRR, 2005

pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry.
Bioinformatics, 2005

Exploiting the hierarchical structure for link analysis.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Scalable collaborative filtering using cluster-based smoothing.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Web-page summarization using clickthrough data.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Adaptive Temporal Radio Maps for Indoor Location Estimation.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005

Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005

Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Accurate and Low-cost Location Estimation Using Kernels.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Efficient Text Classification by Weighted Proximal SVM.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Semantic Sensor Net: An Extensible Framework.
Proceedings of the Networking and Mobile Computing, Third International Conference, 2005

Simple Test Strategies for Cost-Sensitive Decision Trees.
Proceedings of the Machine Learning: ECML 2005, 2005

Discriminant Analysis with Tensor Representation.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Preprocessing Time Series Data for Classification with Application to CRM.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Mining Quantitative Associations in Large Database.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Learning Actions Models from Plan Examples with Incomplete Knowledge.
Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

Activity Recognition through Goal-Based Segmentation.
Proceedings of the Proceedings, 2005

Competence Driven Case-Base Mining.
Proceedings of the Proceedings, 2005

Multiple-Goal Recognition from Low-Level Signals.
Proceedings of the Proceedings, 2005

2004
A block-based support vector machine approach to the protein homology prediction task in KDD Cup 2004.
SIGKDD Explorations, 2004

Guest Editors' Introduction: Information Enhancement for Data Mining.
IEEE Intelligent Systems, 2004

Guest Editors' Introduction: Mining Actionable Knowledge on the Web.
IEEE Intelligent Systems, 2004

Building Association-Rule Based Sequential Classifiers for Web-Document Prediction.
Data Min. Knowl. Discov., 2004

Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry.
Bioinformatics, 2004

Web-page classification through summarization.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

IMMC: incremental maximum margin criterion.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Decision trees with minimal costs.
Proceedings of the Machine Learning, 2004

IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Cluster Cores-Based Clustering for High Dimensional Data.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Test-Cost Sensitive Naive Bayes Classification.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Case Retrieval Using Nonlinear Feature-Space Transformation.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

Learning similarity measures in non-orthogonal space.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

High-Level Goal Recognition in a Wireless LAN.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
SANet: a service-agent network for call-center scheduling.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2003

A dynamic approach to characterizing termination of general logic programs.
ACM Trans. Comput. Log., 2003

Web-Log Mining for Predictive Web Caching.
IEEE Trans. Knowl. Data Eng., 2003

A Data Cube Model for Prediction-Based Web Prefetching.
J. Intell. Inf. Syst., 2003

Data Mining and Case-Based Reasoning for Distance Learning.
IJDET, 2003

Data Preparation for Data Mining.
Applied Artificial Intelligence, 2003

Web-Log Cleaning for Constructing Sequential Classifiers.
Applied Artificial Intelligence, 2003

Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Postprocessing Decision Trees to Extract Actionable Knowledge.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Mining Plans for Customer-Class Transformation.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Mining High Utility Itemsets.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Mining Customer Value: From Association Rules to Direct Marketing.
Proceedings of the 19th International Conference on Data Engineering, 2003

Case Mining from Large Databases.
Proceedings of the Case-Based Reasoning Research and Development, 2003

Planning for Marketing Campaigns.
Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003

2002
Correlation-Based Web Document Clustering for Adaptive Web Interface Design.
Knowl. Inf. Syst., 2002

A Dynamic Approach to Characterizing Termination of General Logic Programs
CoRR, 2002

Web-log Mining for Quantitative Temporal-Event Prediction.
IEEE Computational Intelligence Bulletin, 2002

Fuzzy Cognitive Agents for Personalized Recommendation.
Proceedings of the 3rd International Conference on Web Information Systems Engineering, 2002

An Open Framework for Smart and Personalized Distance Learning.
Proceedings of the Advances in Web-Based Learning, First International Conference, 2002

Mining Case Bases for Action Recommendation.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Objective-Oriented Utility-Based Association Mining.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Mining Optimal Actions for Profitable CRM.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

An Agent Approach for Personalized Recommendation.
Proceedings of the FSDK'02, 2002

Cut-and-Pick Transactions for Proxy Log Mining.
Proceedings of the Advances in Database Technology, 2002

The Application of Case Based Reasoning on Q&A System.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001
Integrating Web Prefetching Using Prediction Models.
World Wide Web, 2001

Redundancy Detection in Semistructured Case Bases.
IEEE Trans. Knowl. Data Eng., 2001

ActiveCBR: An Agent System That Integrates Case-Based Reasoning and Active Databases.
Knowl. Inf. Syst., 2001

Feature Weight Maintenance in Case Bases Using Introspective Learning.
J. Intell. Inf. Syst., 2001

Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems.
Computational Intelligence, 2001

Enhancing the Effectiveness of Interactive Case-Based Reasoning with Clustering and Decision Forests.
Appl. Intell., 2001

Classification Pruning for Web-request Prediction.
Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001

Mining Web Logs to Improve Web Caching and Prefetching.
Proceedings of the Web Intelligence: Research and Development, 2001

Mining web logs for prediction models in WWW caching and prefetching.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Mining High-Quality Cases for Hypertext Prediction and Prefetching.
Proceedings of the Case-Based Reasoning Research and Development, 2001

Taylor Series Prediction: A Cache Replacement Policy based on Second-Order Trend Analysis.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

Correlation-based Document Clustering using Web Logs.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

Model Based Predictive Prefetching.
Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001

2000
WhatNext: A Prediction System for Web Requests Using N-gram Sequence Models.
Proceedings of the WISE 2000, 2000

Towards a Next-Generation Search Engine.
PRICAI, 2000

A prediction system for multimedia pre-fetching in Internet.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

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

Activating Case-Based Reasoning with Active Databases.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Remembering to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Activating CBR Systems Through Autonomous Information Gathering.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

Real-Time Scheduling for Multi-agent Call Center Automation.
Proceedings of the Recent Advances in AI Planning, 5th European Conference on Planning, 1999

Plan Mining by Divide-and-Conquer.
Proceedings of the 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999

A Catalog of Agent Coordination Patterns.
Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998
Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques.
Autom. Softw. Eng., 1998

Applying Plan Recognition Algorithms To Program Understanding.
Autom. Softw. Eng., 1998

Towards Lifetime Maintenance of Case Based Indexes for Continual Case Based Reasoning.
Proceedings of the Artificial Intelligence: Methodology, 1998

An Agent for Intelligent Situation Assessment.
Proceedings of the Artificial Intelligence: Methodology, 1998

1997
Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments.
Artif. Intell., 1997

Maintaining Unstructured Case Base.
Proceedings of the Case-Based Reasoning Research and Development, 1997

Intelligent planning - a decomposition and abstraction based approach.
Artificial intelligence, Springer, ISBN: 978-3-540-61901-7, 1997

1996
On the Implenentation and Evaluation of ABTWEAK.
Computational Intelligence, 1996

Applying plan recognition algorithms to program understanding.
Proceedings of the 11th Knowledge-Based Software Engineering Conference, 1996

The Program Understanding Problem: Analysis and a Heuristic Approach.
Proceedings of the 18th International Conference on Software Engineering, 1996

1995
Relating the Performance of Partial-Order Planning Algorithms to Domain Features.
SIGART Bulletin, 1995

Planning as Refinement Search: A Unified Framework for Evaluating Design Tradeoffs in Partial-Order Planning.
Artif. Intell., 1995

Planning with Primary Effects: Experiments and Analysis.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
An Evaluation of the Temporal Coherence Heuristic in Partial-Order Planning.
Computational Intelligence, 1994

Downward Refinement and the Efficiency of Hierarchical Problem Solving.
Artif. Intell., 1994

Delaying Variable Binding Commitments in Planning.
Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994

A Framework for Automatic Problem Decomposition in Planning.
Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994

1993
Characterizing and Automatically Finding Primary Effects in Planning.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1992
Merging Separately Generated Plans with Restricted Interactions.
Computational Intelligence, 1992

A Theory of Conflict Resolution in Planning.
Artif. Intell., 1992

Theory and Algorithms for Plan Merging.
Artif. Intell., 1992

Handling feature interactions in process-planning.
Applied Artificial Intelligence, 1992

The Expected Value of Hierarchical Problem-Solving.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
The Downward Refinement Property.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Characterizing Abstraction Hierarchies for Planning.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991

A Quantitative Theory for Plan Merging.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990
Formalizing planning knowledge for hierarchical planning.
Computational Intelligence, 1990

ABTWEAK: Abstracting a Nonlinear, Least Commitment Planner.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

An Algebraic Approach to Conflict Resolution in Planning.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989
Preprocessing Search Spaces for Branch and Bound Search.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989


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