Li Shen
Orcid: 0000-0002-5443-0503Affiliations:
- University of Pennsylvania, Philadelphia, USA
- Indiana University School of Medicine, Indianapolis, IN, USA (2007 - 2017)
- University of Massachusetts Dartmouth, MA, USA (2004 - 2007)
- Dartmouth College, Hanover, NH, USA (PhD 2004)
According to our database1,
Li Shen
authored at least 198 papers
between 1998 and 2024.
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Bibliography
2024
2023
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.
NeuroImage, October, 2023
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.
Briefings Bioinform., March, 2023
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network.
Medical Image Anal., 2022
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Medical Image Anal., 2022
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis.
CoRR, 2022
Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data.
BMC Bioinform., 2022
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.
BMC Bioinform., 2022
Briefings Bioinform., 2022
Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Using Optimal Transport to Improve Spherical Harmonic Quantification of Complex Biological Shapes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Connectome transformer with anatomically inspired attention for Parkinson's diagnosis.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions.
IEEE Trans. Biomed. Eng., 2021
A structural enriched functional network: An application to predict brain cognitive performance.
Medical Image Anal., 2021
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021
2020
Mining and visualizing high-order directional drug interaction effects using the FAERS database.
BMC Medical Informatics Decis. Mak., March, 2020
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
IEEE Trans. Medical Imaging, 2020
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction.
IEEE Trans. Medical Imaging, 2020
Neuroinformatics, 2020
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak., 2020
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal., 2020
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Medical Image Anal., 2020
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes.
Int. J. Comput. Biol. Drug Des., 2020
Int. J. Comput. Biol. Drug Des., 2020
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR, 2020
Effect of APOE ε4 on multimodal brain connectomic traits: a persistent homology study.
BMC Bioinform., 2020
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinform., 2020
BioData Min., 2020
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
Proceedings of the AMIA 2020, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Joint between-sample normalization and differential expression detection through ℓ 0-regularized regression.
BMC Bioinform., 2019
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Bioinform., 2019
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
J. Heal. Informatics Res., 2018
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol., 2018
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
Bioinform., 2018
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform., 2018
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data.
Briefings Bioinform., 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms.
Proceedings of the Shape in Medical Imaging, 2018
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics, 2017
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 2017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform., 2017
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
Proceedings of the Research in Computational Molecular Biology, 2017
Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model.
Proceedings of the Information Processing in Medical Imaging, 2017
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the Brain Informatics - International Conference, 2017
2016
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics, 2016
BMC Syst. Biol., 2016
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.
Bioinform., 2016
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.
BioData Min., 2016
Proceedings of the 7th International EuroVis Workshop on Visual Analytics, 2016
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration.
Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016
A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Erratum to: Improving protein order-disorder classification using charge-hydropathy plots.
BMC Bioinform., 2015
BioData Min., 2015
Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease.
Proceedings of the IEEE 58th International Midwest Symposium on Circuits and Systems, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
2014
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning.
IEEE Trans. Medical Imaging, 2014
BMC Bioinform., 2014
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinform., 2014
BioData Min., 2014
Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data.
Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014
Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Neurocomputing, 2013
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.
Proceedings of the Information Processing in Medical Imaging, 2013
Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013
2012
Erratum to "A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's Disease in the ADNI cohort" [Neuroimage 60/3(2012) 1608-1621].
NeuroImage, 2012
A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort.
NeuroImage, 2012
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform., 2012
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
Bioinform., 2012
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinform., 2012
Principles of Computational Modeling in NeuroscienceDavid Sterratt, Bruce Graham, Andrew Gillies and David Willshaw.
Briefings Bioinform., 2012
Proceedings of the 14th Eurographics Conference on Visualization, 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
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
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
NeuroImage, 2011
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects.
NeuroImage, 2011
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance.
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Age-related neuroinflammation in non-demented elderly adults: Preliminary findings with the TSPO ligand [11C]PBR28.
NeuroImage, 2010
Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease.
NeuroImage, 2010
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort.
NeuroImage, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Comput. Graph., 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
2007
Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter.
IEEE Trans. Medical Imaging, 2007
IEEE Trans. Inf. Technol. Biomed., 2007
Simul., 2007
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007
Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Visualization, 2006
Proceedings of the Medical Imaging and Augmented Reality, 2006
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006
Shape Analysis and Spatio-Temporal Tracking of Mesoscale Eddies in Miami Isopycnic Coordinate Ocean Model.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006
Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006
2005
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography.
Proceedings of the Medical Imaging 2005: Visualization, 2005
A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
2004
Intell. Data Anal., 2004
Proceedings of the Methods and Applications of Artificial Intelligence, 2004
Shape-based discriminative analysis of combined bilateral hippocampi using multiple object alignment.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2004
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004
2003
A Spatio-temporal Multi-modal Data Management and Analysis Environment for Tracking MS Lesions.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the ACM/IEEE 2003 Joint Conference on Digital Libraries (JCDL 2003), 2003
2002
Proceedings of the Research and Advanced Technology for Digital Libraries, 2002
2000
Knowl. Inf. Syst., 2000
Mining the Most Interesting Web Access Associations.
Proceedings of WebNet 2000 - World Conference on the WWW and Internet, San Antonio, Texas, USA, October 30, 2000
1999
1998
Mining Flexible Multiple-Level Association Rules in All Concept Hierarchies (Extended Abstract).
Proceedings of the Database and Expert Systems Applications, 9th International Conference, 1998