Carlotta Domeniconi

发表

Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm

Kenneth A. De Jong, Uday Kamath, Carlotta Domeniconi, 2016, Evolutionary Computation.

Enhancing Single-Objective Projective Clustering Ensembles

Andrea Tagarelli, Carlotta Domeniconi, Francesco Gullo, 2010, 2010 IEEE International Conference on Data Mining.

Nonparametric Bayesian Co-clustering Ensembles

Kathryn B. Laskey, Michael I. Jordan, Carlotta Domeniconi, 2011, SDM.

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

Carlotta Domeniconi, Guoxian Yu, Keyao Wang, 2020, Bioinform..

Multi-View Multiple Clusterings using Deep Matrix Factorization pdf

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, AAAI.

Deep Incomplete Multi-View Multiple Clusterings pdf

Jun Wang, Xiangliang Zhang, Carlotta Domeniconi, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Multi-label Collective Classification Using Adaptive Neighborhoods

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2012, 2012 11th International Conference on Machine Learning and Applications.

Proposal of a Darwin-Neural Network for a Robot Implementation

Carlotta Domeniconi, C. Domeniconi, 1997 .

Relational Network Classification and it’s Applications in Recommender Systems

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2017 .

Network-based Anomaly Detection for Insider Trading pdf

Carlotta Domeniconi, Adarsh Kulkarni, Priya Mani, 2017, ArXiv.

Multiple Co-clusterings

Jun Wang, Zili Zhang, Zhiwen Yu, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Evidence of Temporal Artifacts in Social Networks

Aditya Johri, Carlotta Domeniconi, Matt Revelle, 2015, MUSE@PKDD/ECML.

Detection of Communities and Bridges in Weighted Networks

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2011, MLDM.

Finding Community Topics and Membership in Graphs

Aditya Johri, Carlotta Domeniconi, Matt Revelle, 2015, ECML/PKDD.

An analysis of a spatial EA parallel boosting algorithm

Kenneth A. De Jong, Uday Kamath, Carlotta Domeniconi, 2013, GECCO '13.

Multi-label Answer Aggregation Based on Joint Matrix Factorization

Jun Wang, Carlotta Domeniconi, Guoxian Yu, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Topic Significance Ranking of LDA Generative Models

Daniel Barbará, Carlotta Domeniconi, Loulwah AlSumait, 2009, ECML/PKDD.

Kernel Pooled Local Subspaces for Classification

Jing Peng, Carlotta Domeniconi, Peng Zhang, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

Random Subspace Ensembles for Clustering Categorical Data

Daniel Barbará, Carlotta Domeniconi, Muna Al-Razgan, 2008 .

An Adaptive Metric Machine for Pattern Classification

Dimitrios Gunopulos, Jing Peng, Carlotta Domeniconi, 2000, NIPS.

CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2020, ACM Trans. Knowl. Discov. Data.

A framework for semi-supervised learning based on subjective and objective clustering criteria

Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Selective Matrix Factorization for Multi-relational Data Fusion

Jun Wang, Xiangliang Zhang, Carlotta Domeniconi, 2019, DASFAA.

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

Arthur Zimek, Ira Assent, Andrea Tagarelli, 2016, SIGKDD Explor..

Advancing data clustering via projective clustering ensembles

Andrea Tagarelli, Carlotta Domeniconi, Francesco Gullo, 2011, SIGMOD '11.

Categorization and keyword identification of unlabeled documents

Daniel Barbará, Carlotta Domeniconi, Ning Kang, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Selectivity estimators for multidimensional range queries over real attributes

Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, 2005, The VLDB Journal.

A Weighted Adaptive Mean Shift Clustering Algorithm

Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu, 2014, SDM.

Ranking-based Deep Cross-modal Hashing pdf

Jun Wang, Carlotta Domeniconi, Guoxian Yu, 2019, AAAI.

Multi-label zero-shot learning with graph convolutional networks

Xiangliang Zhang, Carlotta Domeniconi, Guoxian Yu, 2020, Neural Networks.

Protein Function Prediction Using Multilabel Ensemble Classification

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Daniel Barbará, Carlotta Domeniconi, Loulwah AlSumait, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Approximating multi-dimensional aggregate range queries over real attributes

Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, 2000, SIGMOD '00.

Dimensionality reduction using kernel pooled local discriminant information

Jing Peng, Carlotta Domeniconi, Peng Zhang, 2003, Third IEEE International Conference on Data Mining.

Semi-supervised ensemble classification in subspaces

Jane You, Zhiwen Yu, Guoqiang Han, 2012, Appl. Soft Comput..

An Efficient Density-based Approach for Data Mining Tasks

Dimitrios Gunopulos, Carlotta Domeniconi, C. Domeniconi, 2004, Knowledge and Information Systems.

Semantic analysis of documents workshop (SemADoc): extended abstract

Evangelos E. Milios, Carlotta Domeniconi, 2014, DocEng '14.

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

Xiangliang Zhang, Carlotta Domeniconi, Guoxian Yu, 2020, IJCAI.

Protein function prediction using weak-label learning

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2012, BCB.

FLIP: Active Learning for Relational Network Classification

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2014, ECML/PKDD.

Multi-view Weak-label Learning based on Matrix Completion

Zili Zhang, Carlotta Domeniconi, Guoxian Yu, 2018, SDM.

Matrix Factorization for Identifying Noisy Labels of Multi-label Instances

Zili Zhang, Xia Chen, Carlotta Domeniconi, 2018, PRICAI.

The Hubness Phenomenon in High-Dimensional Spaces

Carlotta Domeniconi, Sibel Tari, Priya Mani, 2019, Association for Women in Mathematics Series.

Weighted cluster ensembles: Methods and analysis

Carlotta Domeniconi, Muna Al-Razgan, Muna S. Al-Razgan, 2009, TKDD.

Unsupervised Selective Manifold Regularized Matrix Factorization pdf

Carlotta Domeniconi, Igor Griva, Priya Mani, 2020, SDM.

LOCAL SEMANTIC KERNELS FOR TEXT DOCUMENT CLUSTERING

Carlotta Domeniconi, Loulwah Alsumait, 2007 .

CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples

Zhao Li, Jun Wang, Xiangliang Zhang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Protein Function Prediction by Integrating Multiple Kernels

Zili Zhang, Huzefa Rangwala, Carlotta Domeniconi, 2013, IJCAI.

Multi-View Multiple Clustering pdf

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, IJCAI.

Sparsification and Sampling of Networks for Collective Classification

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2013, SBP.

Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge

Carlotta Domeniconi, Pu Wang, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Discovering Multiple Co-Clusterings With Matrix Factorization

Xing Wang, Zili Zhang, Zhiwen Yu, 2019, IEEE Transactions on Cybernetics.

Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering

Amarda Shehu, Carlotta Domeniconi, Parastoo Kamranfar, 2020, Molecules.

On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers

Carlotta Domeniconi, Bojun Yan, 2005, SDM.

Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection pdf

Giovanni Stilo, Carlotta Domeniconi, Bardh Prenkaj, 2019, PAKDD.

Cross-Modal Zero-Shot Hashing

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Flexible Cross-Modal Hashing

Jun Wang, Xiangliang Zhang, Carlotta Domeniconi, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Projective clustering ensembles

Andrea Tagarelli, Carlotta Domeniconi, Francesco Gullo, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Nonparametric Bayesian Clustering Ensembles

Kathryn B. Laskey, Carlotta Domeniconi, Pu Wang, 2010, ECML/PKDD.

Weakly-paired Cross-Modal Hashing pdf

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, ArXiv.

Adaptive Nearest Neighbor Classification Using Support Vector Machines

Dimitrios Gunopulos, Carlotta Domeniconi, C. Domeniconi, 2001, NIPS.

Attention-Aware Answers of the Crowd pdf

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, SDM.

Text Clustering with Local Semantic Kernels

Carlotta Domeniconi, Loulwah Alsumait, C. Domeniconi, 2008 .

Weighted Clustering Ensembles

Carlotta Domeniconi, Muna Al-Razgan, Muna S. Al-Razgan, 2006, SDM.

Direct gray scale ridge reconstruction in fingerprint images

Carlotta Domeniconi, Sibel Tari, Ping Liang, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Crowdsourcing with Multiple-Source Knowledge Transfer

Carlotta Domeniconi, Guoxian Yu, Jun Wang, 2020, IJCAI.

Mining relevant text from unlabelled documents

Daniel Barbará, Carlotta Domeniconi, Ning Kang, 2003, Third IEEE International Conference on Data Mining.

Decoy Ensemble Reduction in Template-free Protein Structure Prediction

Amarda Shehu, Carlotta Domeniconi, Ahmed Bin Zaman, 2019, BCB.

Active Multi-Label Crowd Consensus pdf

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, ArXiv.

Local Feature Selection for Classiﬁcation

Dimitrios Gunopulos, Carlotta Domeniconi, C. Domeniconi, 2007 .

Differentiating isoform functions with collaborative matrix factorization

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, Bioinform..

Techniques for Weighted Clustering Ensembles

Carlotta Domeniconi, 2009, Encyclopedia of Data Warehousing and Mining.

Locally adaptive metrics for clustering high dimensional data

Dimitrios Gunopulos, Sheng Ma, Carlotta Domeniconi, 2007, Data Mining and Knowledge Discovery.

Relational Network Classification and Its Applications in Recommender Systems

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Hub-based subspace clustering

Carlotta Domeniconi, Priya Mani, C. Domeniconi, 2020, Neurocomputing.

Embedding Semantics in LDA Topic Models

Daniel Barbará, Carlotta Domeniconi, Pu Wang, 2010 .

Approximating multi-dimensional aggregate range queries over real attributes

Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, 2000, SIGMOD 2000.

Learning in Streams

Djoerd Hiemstra, Fausto Giunchiglia, Yannis Manolopoulos, 2009, Encyclopedia of Database Systems.

Composite kernels for semi-supervised clustering

Jing Peng, Carlotta Domeniconi, Bojun Yan, 2011, Knowledge and Information Systems.

Proceedings of the 2012 SIAM International Conference on Data Mining

Ian Davidson, Joydeep Ghosh, Carlotta Domeniconi, 2012 .

Protein Function Prediction Using Dependence Maximization

Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, 2013, ECML/PKDD.

Neural Networks and Learning Systems Come Together

Jian Yang, Patricia Melin, Xuelong Li, 2012, IEEE Trans. Neural Networks Learn. Syst..

Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization pdf

Jun Wang, Zili Zhang, Carlotta Domeniconi, 2019, AAAI.

Locally Adaptive Metric Nearest-Neighbor Classification

Dimitrios Gunopulos, Jing Peng, Carlotta Domeniconi, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Annotating Proteins with Incomplete Label Information

Huzefa Rangwala, Carlotta Domeniconi, Guoxian Yu, 2015 .

A New Framework for Centrality Measures in Multiplex Networks pdf

Giovanni Stilo, Carlotta Domeniconi, Carlo Spatocco, 2018, ArXiv.

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

Guangyuan Fu, Jun Wang, Carlotta Domeniconi, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Kenneth A. De Jong, Amarda Shehu, Uday Kamath, 2019, Innovations in Big Data Mining and Embedded Knowledge.

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

Aditya Johri, Kalyan Veeramachaneni, Carlotta Domeniconi, 2016, EDM.

Projective Clustering Ensembles

Andrea Tagarelli, Carlotta Domeniconi, Francesco Gullo, 2009, ICDM.

Learning Distance Measures

Carlotta Domeniconi, 2009, Encyclopedia of Database Systems.

Multi-label crowd consensus via joint matrix factorization

Jun Wang, Carlotta Domeniconi, Jinzheng Tu, 2019, Knowledge and Information Systems.

ActiveHNE: Active Heterogeneous Network Embedding pdf

Xiangliang Zhang, Jun Wang, Xia Chen, 2019, IJCAI.

Learning Distance Measures

Carlotta Domeniconi, C. Domeniconi, 2009, Encyclopedia of Database Systems.

Graph-based selective outlier ensembles

Giovanni Stilo, Carlotta Domeniconi, Hamed Sarvari, 2018, SAC.

A Classification Approach for Prediction of Target Events in Temporal Sequences

Ricardo Vilalta, Sheng Ma, Carlotta Domeniconi, 2002, PKDD.

Erratum to "Protein function prediction using multilabel ensemble classification"

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2014, TCBB.

Theoretical and Empirical Analysis of a Parallel Boosting Algorithm pdf

Kenneth A. De Jong, Uday Kamath, Carlotta Domeniconi, 2015, ArXiv.

Multiobjective optimization of co-clustering ensembles

Andrea Tagarelli, Carlotta Domeniconi, Francesco Gullo, 2012, GECCO '12.

Efficient Local Flexible Nearest Neighbor Classification

Dimitrios Gunopulos, Carlotta Domeniconi, C. Domeniconi, 2002, SDM.

Mastering Java Machine Learning

Uday Kamath, Carlotta Domeniconi, Krishna Choppella, 2017 .

Cross-domain Text Classification using Wikipedia

Jian Hu, Carlotta Domeniconi, Pu Wang, 2008, IEEE Intell. Informatics Bull..

Protein Function Prediction withIncomplete Annotations

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2014, IEEE ACM Trans. Comput. Biol. Bioinform..

Predicting Protein Function Using Multiple Kernels

Zili Zhang, Huzefa Rangwala, Carlotta Domeniconi, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Subspace Clustering of High Dimensional Data

Dimitrios Gunopulos, Sheng Ma, Carlotta Domeniconi, 2004, SDM.

Clustering Ensembles with Active Constraints

Carlotta Domeniconi, Muna Al-Razgan, 2009, Applications of Supervised and Unsupervised Ensemble Methods.

Parallel boosted clustering

Zenglin Xu, Uday Kamath, Carlotta Domeniconi, 2019, Neurocomputing.

Predicting protein functions using incomplete hierarchical labels

Hailong Zhu, Carlotta Domeniconi, Guo-Xian Yu, 2015, BMC Bioinformatics.

Cost Effective Multi-label Active Learning via Querying Subexamples

Jun Wang, Zili Zhang, Zhao Li, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Discovering Multiple Co-Clusterings in Subspaces

Jun Wang, Carlotta Domeniconi, Guoxian Yu, 2019, SDM.

Online topic detection, tracking, and significance ranking using generative topic models

Daniel Barbará, Carlotta Domeniconi, Loulwah Alsumait, 2009 .

Incremental support vector machine construction

Dimitrios Gunopulos, Carlotta Domeniconi, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Persistent Roles in Online Social Networks

Aditya Johri, Carlotta Domeniconi, Matt Revelle, 2016, ECML/PKDD.

Adaptive metric nearest neighbor classification

Dimitrios Gunopulos, Jing Peng, Carlotta Domeniconi, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Attributed heterogeneous network fusion via collaborative matrix tri-factorization

Jun Wang, Xiangliang Zhang, Carlotta Domeniconi, 2020, Inf. Fusion.

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

Dimitrios Gunopulos, Carlotta Domeniconi, C. Domeniconi, 2001, ICML.

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

Carlotta Domeniconi, Bojun Yan, C. Domeniconi, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

SemRank: Semantic rank learning for multimedia retrieval

Carlotta Domeniconi, David Etter, C. Domeniconi, 2015, Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015).

Weakly-supervised Cross-modal Hashing

Carlotta Domeniconi, Maozu Guo, Xuanwu Liu, 2019 .

Feature-Induced Partial Multi-label Learning

Jun Wang, Zili Zhang, Xindong Wu, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Non-linear dimensionality reduction techniques for classification and visualization

Dimitrios Gunopulos, George Kollios, Nick Koudas, 2002, KDD.

Predicting Preference Tags to Improve Item Recommendation

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2015, SDM.

A clustering framework based on subjective and objective validity criteria

Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, 2008, TKDD.

Semi-Supervised Rank Learning for Multimedia Known-Item Search

Carlotta Domeniconi, David Etter, C. Domeniconi, 2014, ICMR.

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

Carlotta Domeniconi, Raj Patel, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Classifying Documents Without Labels

Daniel Barbará, Carlotta Domeniconi, Ning Kang, 2004, SDM.

Individuality- and Commonality-Based Multiview Multilabel Learning

Xiangliang Zhang, Jun Wang, Carlotta Domeniconi, 2019, IEEE Transactions on Cybernetics.

Weighted-object ensemble clustering: methods and analysis

Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu, 2016, Knowledge and Information Systems.

Bayesian co‐clustering

Kathryn B. Laskey, Carlotta Domeniconi, 2015 .

Semi-supervised classification based on random subspace dimensionality reduction

Jane You, Zhiwen Yu, Carlotta Domeniconi, 2012, Pattern Recognit..

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

Ira Assent, Carlotta Domeniconi, Eyke Hüllermeier, 2020, Data mining and knowledge discovery.

The Projective Clustering Ensemble Problem for Advanced Data Clustering

Andrea Tagarelli, Carlotta Domeniconi, Francesco Gullo, 2017, SEBD.

Protein Function Prediction with Incomplete Annotations

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Large margin nearest neighbor classifiers

Dimitrios Gunopulos, Jing Peng, Carlotta Domeniconi, 2005, IEEE Transactions on Neural Networks.

Metacluster-based Projective Clustering Ensembles

Andrea Tagarelli, Carlotta Domeniconi, Francesco Gullo, 2013, Machine Learning.

Detecting spatio-temporal outliers with kernels and statistical testing

Carlotta Domeniconi, James P. Rogers, Daniel Barbara, 2009, 2009 17th International Conference on Geoinformatics.

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

Aditya Johri, Seungwon Yang, Carlotta Domeniconi, 2016, L@S.

An Adaptive Kernel Method for Semi-supervised Clustering

Carlotta Domeniconi, Bojun Yan, C. Domeniconi, 2006, ECML.

Transductive multi-label ensemble classification for protein function prediction

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2012, KDD.

Temporal Artifacts from Edge Accumulation in Social Interaction Networks

Aditya Johri, Carlotta Domeniconi, Matt Revelle, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

Clustering gene expression data in SQL using locally adaptive metrics

Dimitrios Gunopulos, Sheng Ma, Carlotta Domeniconi, 2003, DMKD '03.

Incomplete Multi-View Weak-Label Learning

Zili Zhang, Carlotta Domeniconi, Guoxian Yu, 2018, IJCAI.

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

Ira Assent, Carlotta Domeniconi, Eyke Hüllermeier, 2020, Data mining and knowledge discovery.

Uncovering Trajectories of Informal Learning in Large Online Communities of Creators

Aditya Johri, Seungwon Yang, Carlotta Domeniconi, 2015, L@S.

Kernel pooled local subspaces for classification

Jing Peng, Carlotta Domeniconi, Peng Zhang, 2003, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Nearest neighbor ensemble

Carlotta Domeniconi, B. Yan, 2004, ICPR 2004.

Integrating multiple networks for protein function prediction

Hailong Zhu, Carlotta Domeniconi, Maozu Guo, 2015, BMC Systems Biology.

Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways

Xiangliang Zhang, Carlotta Domeniconi, Guoxian Yu, 2020, Briefings Bioinform..

Regression Databases: Probabilistic Querying Using Sparse Learning Sets

Carlotta Domeniconi, Alexander Brodsky, David Etter, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

Building semantic kernels for text classification using wikipedia

Carlotta Domeniconi, Pu Wang, Pu Wang, 2008, KDD.

Co-Clustering Ensembles Based on Multiple Relevance Measures

Jun Wang, Carlotta Domeniconi, Xianxue Yu, 2021, IEEE Transactions on Knowledge and Data Engineering.

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

Guangyuan Fu, Carlotta Domeniconi, Guoxian Yu, 2018, Bioinform..

Feature Enriched Nonparametric Bayesian Co-clustering

Kathryn B. Laskey, Huzefa Rangwala, Carlotta Domeniconi, 2012, PAKDD.

Detecting outliers using transduction and statistical testing

Daniel Barbará, Carlotta Domeniconi, James P. Rogers, 2006, KDD '06.

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

Kathryn Laskey, Kathryn B. Laskey, Carlotta Domeniconi, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Nearest neighbor ensemble

Carlotta Domeniconi, Bojun Yan, C. Domeniconi, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Detecting Suspicious Behavior in Surveillance Images

Maurizio Filippone, Daniel Barbará, Carlotta Domeniconi, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Latent Dirichlet Bayesian Co-Clustering

Kathryn B. Laskey, Carlotta Domeniconi, Pu Wang, 2009, ECML/PKDD.

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

Jun Wang, Xiangliang Zhang, Carlotta Domeniconi, 2020, ArXiv.

Multiple Independent Subspace Clusterings

Xing Wang, Jun Wang, Carlotta Domeniconi, 2019, AAAI.

Latent Topic Models of Surface Syntactic Information

Roberto Basili, Danilo Croce, Carlotta Domeniconi, 2011, AI*IA.

Active Multilabel Crowd Consensus

Xiangliang Zhang, Carlotta Domeniconi, Jun Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Weighted Matrix Factorization on multi-relational data for LncRNA-Disease Association prediction.

Guangyuan Fu, Carlotta Domeniconi, Guoxian Yu, 2020, Methods.

Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering

Arthur Zimek, Ira Assent, Andrea Tagarelli, 2013, MultiClust@KDD.

Predicting protein function via downward random walks on a gene ontology

Jiming Liu, Hailong Zhu, Carlotta Domeniconi, 2015, BMC Bioinformatics.

Boosted Mean Shift Clustering

Uday Kamath, Carlotta Domeniconi, Guoji Zhang, 2014, ECML/PKDD.

IEEE CIDM 2011 Committee Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011)

Tamara G. Kolda, Sven F. Crone, Nikola Kasabov, 2011 .

Multi2Rank: Multimedia Multiview Ranking

Carlotta Domeniconi, David Etter, C. Domeniconi, 2015, 2015 IEEE International Conference on Multimedia Big Data.

Local Feature Selection for Classification

Dimitrios Gunopulos, Carlotta Domeniconi, C. Domeniconi, 2007 .

Multi-Label Co-Training

Zili Zhang, Carlotta Domeniconi, Guoxian Yu, 2018, IJCAI.

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

Jian Hu, Carlotta Domeniconi, Pu Wang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Weighted-Object Ensemble Clustering

Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu, 2013, 2013 IEEE 13th International Conference on Data Mining.

Few-Shot Partial-Label Learning

Carlotta Domeniconi, Zhongmin Yan, Guoxian Yu, 2021, IJCAI.

Crowdsourcing with Meta-Workers: A New Way to Save the Budget pdf

Carlotta Domeniconi, Guoxian Yu, Lizhen Cui, 2021, ArXiv.

Multiple clusterings of heterogeneous information networks

Carlotta Domeniconi, Guoxian Yu, Xiangliang Zhang, 2021, Mach. Learn..

DMIL-IsoFun: predicting isoform function using deep multi-instance learning

Carlotta Domeniconi, Guoxian Yu, Maozu Guo, 2021, Bioinform..

Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning

Carlotta Domeniconi, Guoxian Yu, Xiangliang Zhang, 2021, SDM.

Multiview Multi-Instance Multilabel Active Learning.

Jun Wang, Xiangliang Zhang, Carlotta Domeniconi, 2021, IEEE transactions on neural networks and learning systems.

Group-node attention for community evolution prediction

Ben Gelman, Carlotta Domeniconi, Matt Revelle, 2021, ASONAM.

Open-Set Crowdsourcing using Multiple-Source Transfer Learning pdf

Carlotta Domeniconi, Guoxian Yu, Lizhen Cui, 2021, ArXiv.

Cross-modal Zero-shot Hashing by Label Attributes Embedding pdf

Carlotta Domeniconi, Guoxian Yu, Lizhen Cui, 2021, ArXiv.

MetaMIML: Meta Multi-Instance Multi-Label Learning pdf

Carlotta Domeniconi, Guoxian Yu, Maozu Guo, 2021, ArXiv.

Meta Cross-Modal Hashing on Long-Tailed Data pdf

Carlotta Domeniconi, Guoxian Yu, Runmin Wang, 2021, ArXiv.

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

Carlotta Domeniconi, Bojun Yan, C. Domeniconi, 2006, ECML.

Penta-Training : Clustering Ensembles with Bootstrapping of Constraints

Carlotta Domeniconi, Muna Al-Razgan, 2008 .