Carlotta Domeniconi

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Multi-label zero-shot learning with graph convolutional networks.

[BibT_eX]

[DOI]

Neural Networks, 2020

Multi-label crowd consensus via joint matrix factorization.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Attributed heterogeneous network fusion via collaborative matrix tri-factorization.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

Hub-based subspace clustering.

[BibT_eX]

[DOI]

Priya Mani

Neurocomputing, 2020

Introduction to the special issue of the ECML PKDD 2020 journal track.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2020

Isoform function prediction based on bi-random walks on a heterogeneous network.

[BibT_eX]

[DOI]

Bioinform., 2020

Differentiating isoform functions with collaborative matrix factorization.

[BibT_eX]

[DOI]

Bioinform., 2020

Attention-Aware Answers of the Crowd.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates.

[BibT_eX]

[DOI]

Raj Patel

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Weakly-Supervised Multi-view Multi-instance Multi-label Learning.

[BibT_eX]

[DOI]

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

Crowdsourcing with Multiple-Source Knowledge Transfer.

[BibT_eX]

[DOI]

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

Partial Multi-label Learning using Label Compression.

[BibT_eX]

[DOI]

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

Multi-typed Objects Multi-view Multi-instance Multi-label Learning.

[BibT_eX]

[DOI]

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

Deep Incomplete Multi-View Multiple Clusterings.

[BibT_eX]

[DOI]

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

Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization.

[BibT_eX]

[DOI]

Mack Sweeney

Matthew van Adelsberg

Kathryn B. Laskey

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

Multi-View Multiple Clusterings Using Deep Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Big Data Mining and Embedded Knowledge, 2019

Parallel boosted clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Active Multi-Label Crowd Consensus.

[BibT_eX]

[DOI]

CoRR, 2019

Weakly-paired Cross-Modal Hashing.

[BibT_eX]

[DOI]

CoRR, 2019

Discovering Multiple Co-Clusterings in Subspaces.

[BibT_eX]

[DOI]

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

Graph-based selective outlier ensembles.

[BibT_eX]

[DOI]

Hamed Sarvari

Giovanni Stilo

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Multi-View Multiple Clustering.

[BibT_eX]

[DOI]

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

ActiveHNE: Active Heterogeneous Network Embedding.

[BibT_eX]

[DOI]

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

Cross-Modal Zero-Shot Hashing.

[BibT_eX]

[DOI]

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

Selective Matrix Factorization for Multi-relational Data Fusion.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Decoy Ensemble Reduction in Template-free Protein Structure Prediction.

[BibT_eX]

[DOI]

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

Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multiple Independent Subspace Clusterings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Ranking-Based Deep Cross-Modal Hashing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Relational Network Classification and Its Applications in Recommender Systems.

[BibT_eX]

[DOI]

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

Learning Distance Measures.

[BibT_eX]

[DOI]

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

Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm.

[BibT_eX]

[DOI]

Uday Kamath

Kenneth A. De Jong

Evol. Comput., 2018

A New Framework for Centrality Measures in Multiplex Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Matrix factorization-based data fusion for the prediction of lncRNA-disease associations.

[BibT_eX]

[DOI]

Bioinform., 2018

Multi-view Weak-label Learning based on Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Matrix Factorization for Identifying Noisy Labels of Multi-label Instances.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-Label Co-Training.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Incomplete Multi-View Weak-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Feature-Induced Partial Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Multiple Co-clusterings.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-label Answer Aggregation Based on Joint Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Cost Effective Multi-label Active Learning via Querying Subexamples.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Weighted matrix factorization based data fusion for predicting lncRNA-disease associations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Weighted-object ensemble clustering: methods and analysis.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Network-based Anomaly Detection for Insider Trading.

[BibT_eX]

[DOI]

Adarsh Kulkarni

Priya Mani

CoRR, 2017

The Projective Clustering Ensemble Problem for Advanced Data Clustering.

[BibT_eX]

[DOI]

Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

2016

MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report].

[BibT_eX]

[DOI]

SIGKDD Explor., 2016

Persistent Roles in Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs.

[BibT_eX]

[DOI]

Ben U. Gelman

Kalyan Veeramachaneni

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Predicting Protein Function Using Multiple Kernels.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Metacluster-based Projective Clustering Ensembles.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Theoretical and Empirical Analysis of a Parallel Boosting Algorithm.

[BibT_eX]

[DOI]

Uday Kamath

Kenneth A. De Jong

CoRR, 2015

Integrating multiple networks for protein function prediction.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2015

Predicting protein function via downward random walks on a gene ontology.

[BibT_eX]

[DOI]

BMC Bioinform., 2015

Predicting protein functions using incomplete hierarchical labels.

[BibT_eX]

[DOI]

Guo-Xian Yu

Hailong Zhu

BMC Bioinform., 2015

SemRank: Semantic rank learning for multimedia retrieval.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Predicting Preference Tags to Improve Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Finding Community Topics and Membership in Graphs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Evidence of Temporal Artifacts in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) co-located with the 26th European Conference on Machine Learning / 19th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

Uncovering Trajectories of Informal Learning in Large Online Communities of Creators.

[BibT_eX]

[DOI]

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Multi2Rank: Multimedia Multiview Ranking.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

2014

Protein Function Prediction withIncomplete Annotations.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification".

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

A Weighted Adaptive Mean Shift Clustering Algorithm.

[BibT_eX]

[DOI]

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

FLIP: Active Learning for Relational Network Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Boosted Mean Shift Clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Semi-Supervised Rank Learning for Multimedia Known-Item Search.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Multimedia Retrieval, 2014

Semantic analysis of documents workshop (SemADoc): extended abstract.

[BibT_eX]

[DOI]

Evangelos E. Milios

Proceedings of the ACM Symposium on Document Engineering 2014, 2014

2013

Protein Function Prediction Using Multilabel Ensemble Classification.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Projective clustering ensembles.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2013

Sparsification and Sampling of Networks for Collective Classification.

[BibT_eX]

[DOI]

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Protein Function Prediction Using Dependence Maximization.

[BibT_eX]

[DOI]

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

Protein Function Prediction by Integrating Multiple Kernels.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Weighted-Object Ensemble Clustering.

[BibT_eX]

[DOI]

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

An analysis of a spatial EA parallel boosting algorithm.

[BibT_eX]

[DOI]

Uday Kamath

Kenneth A. De Jong

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Neural Networks and Learning Systems Come Together.

[BibT_eX]

[DOI]

Vadrevu Sree Hari Rao

IEEE Trans. Neural Networks Learn. Syst., 2012

Semi-supervised classification based on random subspace dimensionality reduction.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

Semi-supervised ensemble classification in subspaces.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2012

Feature Enriched Nonparametric Bayesian Co-clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Subspace Clustering Ensembles.

[BibT_eX]

[DOI]

Proceedings of the 3rd MultiClust Workshop: Discovering, 2012

Transductive multi-label ensemble classification for protein function prediction.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-label Collective Classification Using Adaptive Neighborhoods.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Multiobjective optimization of co-clustering ensembles.

[BibT_eX]

[DOI]

A. K. M. Khaled Ahsan Talukder

Sean Luke

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Protein function prediction using weak-label learning.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Composite kernels for semi-supervised clustering.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Advancing data clustering via projective clustering ensembles.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Nonparametric Bayesian Co-clustering Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Detection of Communities and Bridges in Weighted Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Latent Topic Models of Surface Syntactic Information.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010

Nonparametric Bayesian Clustering Ensembles.

[BibT_eX]

[DOI]

Kathryn Blackmond Laskey

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Enhancing Single-Objective Projective Clustering Ensembles.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

Clustering Ensembles with Active Constraints.

[BibT_eX]

[DOI]

Muna Al-Razgan

Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Learning Distance Measures.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

Locally Adaptive Techniques for Pattern Classification.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Techniques for Weighted Clustering Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Weighted cluster ensembles: Methods and analysis.

[BibT_eX]

[DOI]

Muna Al-Razgan

ACM Trans. Knowl. Discov. Data, 2009

Latent Dirichlet Bayesian Co-Clustering.

[BibT_eX]

[DOI]

Kathryn B. Laskey

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Topic Significance Ranking of LDA Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge.

[BibT_eX]

[DOI]

Proceedings of the ICDM Workshops 2009, 2009

2008

A clustering framework based on subjective and objective validity criteria.

[BibT_eX]

[DOI]

Maria Halkidi

Michalis Vazirgiannis

Nitin Kumar

ACM Trans. Knowl. Discov. Data, 2008

Cross-domain Text Classification using Wikipedia.

[BibT_eX]

[DOI]

Jian Hu

IEEE Intell. Informatics Bull., 2008

Building semantic kernels for text classification using wikipedia.

[BibT_eX]

[DOI]

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

Using Wikipedia for Co-clustering Based Cross-Domain Text Classification.

[BibT_eX]

[DOI]

Jian Hu

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

Detecting Suspicious Behavior in Surveillance Images.

[BibT_eX]

[DOI]

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

On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking.

[BibT_eX]

[DOI]

Loulwah AlSumait

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

2007

Locally adaptive metrics for clustering high dimensional data.

[BibT_eX]

[DOI]

Dimitris Papadopoulos

Data Min. Knowl. Discov., 2007

2006

Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2006

Weighted Clustering Ensembles.

[BibT_eX]

[DOI]

Muna Al-Razgan

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Detecting outliers using transduction and statistical testing.

[BibT_eX]

[DOI]

James P. Rogers

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Regression Databases: Probabilistic Querying Using Sparse Learning Sets.

[BibT_eX]

[DOI]

Alexander Brodsky

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

An Adaptive Kernel Method for Semi-supervised Clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2006, 2006

Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Selectivity estimators for multidimensional range queries over real attributes.

[BibT_eX]

[DOI]

VLDB J., 2005

Kernel pooled local subspaces for classification.

[BibT_eX]

[DOI]

Peng Zhang

IEEE Trans. Syst. Man Cybern. Part B, 2005

Large margin nearest neighbor classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2005

On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Categorization and Keyword Identification of Unlabeled Documents.

[BibT_eX]

[DOI]

Ning Kang

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

A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria.

[BibT_eX]

[DOI]

Maria Halkidi

Nitin Kumar

Michalis Vazirgiannis

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

2004

An Efficient Density-based Approach for Data Mining Tasks.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2004

Subspace Clustering of High Dimensional Data.

[BibT_eX]

[DOI]

Dimitris Papadopoulos

Sheng Ma

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Classifying Documents Without Labels.

[BibT_eX]

[DOI]

Ning Kang

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Nearest Neighbor Ensemble.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

Dimensionality Reduction Using Kernel Pooled Local Discriminant Information.

[BibT_eX]

[DOI]

Peng Zhang

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

Mining Relevant Text from Unlabelled Documents.

[BibT_eX]

[DOI]

Ning Kang

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

Clustering gene expression data in SQL using locally adaptive metrics.

[BibT_eX]

[DOI]

Dimitris Papadopoulos

Sheng Ma

Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003

2002

Locally Adaptive Metric Nearest-Neighbor Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2002

Efficient Local Flexible Nearest Neighbor Classification.

[BibT_eX]

[DOI]

Proceedings of the Second SIAM International Conference on Data Mining, 2002

A Classification Approach for Prediction of Target Events in Temporal Sequences.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Non-linear dimensionality reduction techniques for classification and visualization.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Adaptive Nearest Neighbor Classification Using Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets.

[BibT_eX]

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Incremental Support Vector Machine Construction.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

2000

Approximating Multi-Dimensional Aggregate Range Queries over Real Attributes.

[BibT_eX]

[DOI]

Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

An Adaptive Metric Machine for Pattern Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Adaptive Metric nearest Neighbor Classification.

[BibT_eX]

[DOI]

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1998

Direct gray scale ridge reconstruction in fingerprint images.

[BibT_eX]

[DOI]