Carlotta Domeniconi

According to our database1, Carlotta Domeniconi authored at least 114 papers between 1998 and 2019.

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Bibliography

2019
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications.
Proceedings of the Innovations in Big Data Mining and Embedded Knowledge, 2019

Parallel boosted clustering.
Neurocomputing, 2019

Graph-based selective outlier ensembles.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Multi-View Multiple Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ActiveHNE: Active Heterogeneous Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Selective Matrix Factorization for Multi-relational Data Fusion.
Proceedings of the Database Systems for Advanced Applications, 2019

Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multiple Independent Subspace Clusterings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Ranking-Based Deep Cross-Modal Hashing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Relational Network Classification and Its Applications in Recommender Systems.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Learning Distance Measures.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm.
Evolutionary Computation, 2018

Matrix factorization-based data fusion for the prediction of lncRNA-disease associations.
Bioinformatics, 2018

Multi-view Weak-label Learning based on Matrix Completion.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Matrix Factorization for Identifying Noisy Labels of Multi-label Instances.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-Label Co-Training.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Incomplete Multi-View Weak-Label Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Feature-Induced Partial Multi-label Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multiple Co-clusterings.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-label Answer Aggregation Based on Joint Matrix Factorization.
Proceedings of the IEEE International Conference on Data Mining, 2018

Cost Effective Multi-label Active Learning via Querying Subexamples.
Proceedings of the IEEE International Conference on Data Mining, 2018

Weighted matrix factorization based data fusion for predicting lncRNA-disease associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Weighted-object ensemble clustering: methods and analysis.
Knowl. Inf. Syst., 2017

The Projective Clustering Ensemble Problem for Advanced Data Clustering.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

2016
MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report].
SIGKDD Explorations, 2016

Persistent Roles in Online Social Networks.
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.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
Predicting Protein Function Using Multiple Kernels.
IEEE/ACM Trans. Comput. Biology Bioinform., 2015

Metacluster-based Projective Clustering Ensembles.
Machine Learning, 2015

Integrating multiple networks for protein function prediction.
BMC Systems Biology, 2015

Predicting protein function via downward random walks on a gene ontology.
BMC Bioinformatics, 2015

Predicting protein functions using incomplete hierarchical labels.
BMC Bioinformatics, 2015

SemRank: Semantic rank learning for multimedia retrieval.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Predicting Preference Tags to Improve Item Recommendation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Finding Community Topics and Membership in Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Evidence of Temporal Artifacts in Social Networks.
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.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Multi2Rank: Multimedia Multiview Ranking.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

2014
Protein Function Prediction withIncomplete Annotations.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification".
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

A Weighted Adaptive Mean Shift Clustering Algorithm.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

FLIP: Active Learning for Relational Network Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Boosted Mean Shift Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Semi-Supervised Rank Learning for Multimedia Known-Item Search.
Proceedings of the International Conference on Multimedia Retrieval, 2014

Semantic analysis of documents workshop (SemADoc): extended abstract.
Proceedings of the ACM Symposium on Document Engineering 2014, 2014

2013
Protein Function Prediction Using Multilabel Ensemble Classification.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

Sparsification and Sampling of Networks for Collective Classification.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Protein Function Prediction Using Dependence Maximization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Protein Function Prediction by Integrating Multiple Kernels.
Proceedings of the IJCAI 2013, 2013

Weighted-Object Ensemble Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

An analysis of a spatial EA parallel boosting algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Neural Networks and Learning Systems Come Together.
IEEE Trans. Neural Netw. Learning Syst., 2012

Semi-supervised classification based on random subspace dimensionality reduction.
Pattern Recognition, 2012

Semi-supervised ensemble classification in subspaces.
Appl. Soft Comput., 2012

Feature Enriched Nonparametric Bayesian Co-clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Subspace Clustering Ensembles.
Proceedings of the 3rd MultiClust Workshop: Discovering, 2012

Transductive multi-label ensemble classification for protein function prediction.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-label Collective Classification Using Adaptive Neighborhoods.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Multiobjective optimization of co-clustering ensembles.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Protein function prediction using weak-label learning.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Composite kernels for semi-supervised clustering.
Knowl. Inf. Syst., 2011

Advancing data clustering via projective clustering ensembles.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Nonparametric Bayesian Co-clustering Ensembles.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Detection of Communities and Bridges in Weighted Networks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Latent Topic Models of Surface Syntactic Information.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010
Nonparametric Bayesian Clustering Ensembles.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Enhancing Single-Objective Projective Clustering Ensembles.
Proceedings of the ICDM 2010, 2010

2009
Clustering Ensembles with Active Constraints.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Learning Distance Measures.
Proceedings of the Encyclopedia of Database Systems, 2009

Locally Adaptive Techniques for Pattern Classification.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Techniques for Weighted Clustering Ensembles.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Weighted cluster ensembles: Methods and analysis.
TKDD, 2009

Latent Dirichlet Bayesian Co-Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Topic Significance Ranking of LDA Generative Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge.
Proceedings of the ICDM Workshops 2009, 2009

Projective Clustering Ensembles.
Proceedings of the ICDM 2009, 2009

2008
A clustering framework based on subjective and objective validity criteria.
TKDD, 2008

Cross-domain Text Classification using Wikipedia.
IEEE Intelligent Informatics Bulletin, 2008

Building semantic kernels for text classification using wikipedia.
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.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Detecting Suspicious Behavior in Surveillance Images.
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.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Locally adaptive metrics for clustering high dimensional data.
Data Min. Knowl. Discov., 2007

2006
Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering.
Proceedings of the IEEE International Conference on Systems, 2006

Weighted Clustering Ensembles.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Detecting outliers using transduction and statistical testing.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Regression Databases: Probabilistic Querying Using Sparse Learning Sets.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

An Adaptive Kernel Method for Semi-supervised Clustering.
Proceedings of the Machine Learning: ECML 2006, 2006

Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Selectivity estimators for multidimensional range queries over real attributes.
VLDB J., 2005

Large margin nearest neighbor classifiers.
IEEE Trans. Neural Networks, 2005

On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Categorization and Keyword Identification of Unlabeled Documents.
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.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
An Efficient Density-based Approach for Data Mining Tasks.
Knowl. Inf. Syst., 2004

Subspace Clustering of High Dimensional Data.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Classifying Documents Without Labels.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Nearest Neighbor Ensemble.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Mining Relevant Text from Unlabelled Documents.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Clustering gene expression data in SQL using locally adaptive metrics.
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003

Kernel Pooled Local Subspaces for Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002
Locally Adaptive Metric Nearest-Neighbor Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Efficient Local Flexible Nearest Neighbor Classification.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

A Classification Approach for Prediction of Target Events in Temporal Sequences.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Non-linear dimensionality reduction techniques for classification and visualization.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001
Adaptive Nearest Neighbor Classification Using Support Vector Machines.
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.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Incremental Support Vector Machine Construction.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

2000
Approximating Multi-Dimensional Aggregate Range Queries over Real Attributes.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

An Adaptive Metric Machine for Pattern Classification.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Adaptive Metric nearest Neighbor Classification.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1998
Direct gray scale ridge reconstruction in fingerprint images.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998


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