Carlotta Domeniconi

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Guoxian Yu(余国先)Professor, School of Software, Shandong University, Jinan, ChinaEmail confirmado em sdu.edu.cn
Jun Wang（王峻）Professor, School of Software, Shandong UniversityEmail confirmado em sdu.edu.cn
Dimitrios GunopulosNational and Kapodistrian University of AthensEmail confirmado em di.uoa.gr
Xiangliang ZhangLeonard C. Bettex Collegiate Professor, Computer Science and Engineering, University of Notre DameEmail confirmado em nd.edu
Daniel BarbaraProfessor of Computer Science, George Mason UniversityEmail confirmado em gmu.edu
Huzefa RangwalaProfessor of Computer Science, George Mason/ ML Scientist, AmazonEmail confirmado em cs.gmu.edu
Jing PengMontclair State UniversityEmail confirmado em mail.montclair.edu
Loulwah AlSumaitAssistant Professor, Kuwait UniversityEmail confirmado em ku.edu.kw
Muna Al-RazganAssociate ProfessorEmail confirmado em ksu.edu.sa
Yazhou Ren (任亚洲)Associate Professor of Computer Science, University of Electronic Science and Technology of ChinaEmail confirmado em uestc.edu.cn
Francesco GulloAssociate Professor, University of L'AquilaEmail confirmado em acm.org
Kathryn B. LaskeyProfessor of Systems Engineering and Operations Research, George Mason UniversityEmail confirmado em gmu.edu
George KolliosProfessor of Computer Science, Boston UniversityEmail confirmado em bu.edu
Aditya JohriProfessor & Dr. L.Cranberg Endowed Research Fellow, Engineering & Computing, George Mason UniversityEmail confirmado em gmu.edu
Matthew RevelleAssistant Professor of Computer Science, Montana State UniversityEmail confirmado em montana.edu
Vassilis J. TsotrasProfessor, Department of Computer Science and Engineering, University of California, RiversideEmail confirmado em cs.ucr.edu
Dimitris PapadopoulosSenior Applied Scientist, MicrosoftEmail confirmado em acm.org
Andrea Tagarelli, PhDAssoc. Professor - Dept. Comp. Eng., Modeling, Electron., Syst. Eng. - Univ. Calabria, ITEmail confirmado em unical.it
Uday kamathGeorge Mason UniversityEmail confirmado em gmu.edu
Tanwistha SahaMachine Learning R&D Engineer, Synopsys Inc.Email confirmado em synopsys.com

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Carlotta Domeniconi

Professor of Computer Science, George Mason University

Email confirmado em cs.gmu.edu - Página inicial

machine learning data mining clustering classification ensemble methods


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking L AlSumait, D Barbará, C Domeniconi 2008 eighth IEEE international conference on data mining, 3-12, 2008	673	2008
Locally adaptive metric nearest-neighbor classification C Domeniconi, J Peng, D Gunopulos IEEE transactions on pattern analysis and machine intelligence 24 (9), 1281-1285, 2002	450	2002
Locally adaptive metrics for clustering high dimensional data C Domeniconi, D Gunopulos, S Ma, B Yan, M Al-Razgan, ... Data Mining and Knowledge Discovery 14, 63-97, 2007	322	2007
Building semantic kernels for text classification using wikipedia P Wang, C Domeniconi Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	300	2008
Approximating multi-dimensional aggregate range queries over real attributes D Gunopulos, G Kollios, VJ Tsotras, C Domeniconi Acm Sigmod Record 29 (2), 463-474, 2000	280	2000
Non-linear dimensionality reduction techniques for classification and visualization M Vlachos, C Domeniconi, D Gunopulos, G Kollios, N Koudas Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	270	2002
Topic significance ranking of LDA generative models L AlSumait, D Barbará, J Gentle, C Domeniconi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	255	2009
Incremental support vector machine construction C Domeniconi, D Gunopulos Proceedings 2001 ieee international conference on data mining, 589-592, 2001	251	2001
Weighted cluster ensembles: Methods and analysis C Domeniconi, M Al-Razgan ACM Transactions on Knowledge Discovery from Data (TKDD) 2 (4), 1-40, 2009	250	2009
Subspace clustering of high dimensional data C Domeniconi, D Papadopoulos, D Gunopulos, S Ma Proceedings of the 2004 SIAM international conference on data mining, 517-521, 2004	217	2004
Matrix factorization-based data fusion for the prediction of lncRNA–disease associations G Fu, J Wang, C Domeniconi, G Yu Bioinformatics 34 (9), 1529-1537, 2018	190	2018
Selectivity estimators for multidimensional range queries over real attributes D Gunopulos, G Kollios, VJ Tsotras, C Domeniconi the VLDB Journal 14, 137-154, 2005	146	2005
Adaptive nearest neighbor classification using support vector machines C Domeniconi, D Gunopulos Advances in neural information processing systems 14, 2001	143	2001
Large margin nearest neighbor classifiers C Domeniconi, D Gunopulos, J Peng IEEE transactions on neural networks 16 (4), 899-909, 2005	132	2005
Detecting outliers using transduction and statistical testing D Barbará, C Domeniconi, JP Rogers Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	124	2006
Incomplete multi-view weak-label learning. Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang Ijcai, 2703-2709, 2018	123	2018
Semi-supervised classification based on random subspace dimensionality reduction G Yu, G Zhang, C Domeniconi, Z Yu, J You Pattern Recognition 45 (3), 1119-1135, 2012	107	2012
Nonparametric bayesian co-clustering ensembles P Wang, KB Laskey, C Domeniconi, MI Jordan Proceedings of the 2011 SIAM International Conference on Data Mining, 331-342, 2011	103	2011
Nearest neighbor ensemble C Domeniconi, B Yan Proceedings of the 17th International Conference on Pattern Recognition …, 2004	98	2004
Feature-induced partial multi-label learning G Yu, X Chen, C Domeniconi, J Wang, Z Li, Z Zhang, X Wu 2018 IEEE international conference on data mining (ICDM), 1398-1403, 2018	97	2018

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