Book
Edited
Volumes
  • Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek (Eds.): Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, in conjunction with KDD 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2334-5
  • Ian Davidson, Carlotta Domeniconi (Eds.): Statistical Analysis and Data Mining, Special Issue: Best Papers of SDM'12. Forthcoming.
  • Takashi Washio, Jun Luo, Prasanna Desikan, Kuo-Wei Hsu, Jaideep Srivastava, Ee-Peng Lim, Maguelonne Teisseire, Mathieu Roche, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Hung Khoon Tan, Chee Onn Wong (Volume Editors): Emerging Trends in Knowledge Discovery and Data Mining. PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM. Revised Selected Papers, LNAI 7769, Springer, 2013.
  • Ian Davidson, Carlotta Domeniconi (Eds.): Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, April 26 - 28, 2012.
  • Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli (Eds.): Proceedings of the First International Workshop on Multi-view data, High Dimensionality, and External Knowledge: Striving for a Unified Approach to Clustering (3Clust'12), in conjunction with PAKDD 2012, Kuala Lumpur, Malaysia, May 29, 2012. Online Proceedings
Book
Chapters
(Peer Reviewed)
  • L. AlSumait, P. Wang, C. Domeniconi, and D. Barbara, "Embedding Semantics in LDA Topic Models", in Text Mining: Application and Theory , Michael W. Berry and Jacob Kogan, Editors. John Wiley & Sons, 2010.
  • M. Al-Razgan and C. Domeniconi, "Clustering Ensembles with Active Constraints", Oleg Okun and Giorgio Valentini, Editors. Springer, 2009.
  • B. Yan and C. Domeniconi, "Learning Kernels for Semi-supervised Clustering", in Encyclopedia of Data warehousing and Mining , edited by John Wang. Information Science Reference, (Second Edition) August 2008.
  • C. Domeniconi and M. Al-Razgan, "Techniques for Weighted Clustering Ensembles", in Encyclopedia of Data warehousing and Mining , edited by John Wang. Information Science Reference, (Second Edition) August 2008.
  • C. Domeniconi, "Learning Distance Measures", Entry in Encyclopedia of Database Systems , Ling Liu and M. Tamer Ozsu, Editors. Springer, 2008. web site
  • M. Al-Razgan, C. Domeniconi, and D. Barbara, "Random Subspace Ensembles for Clustering Categorical Data", in Supervised and Unsupervised Ensemble Methods and their Applications , Series: Studies in Computational Intelligence, Vol. 126, Oleg Okun and Giorgio Valentini, Editors. Springer, April 2008. web site
  • L. AlSumait and C. Domeniconi, "Text Clustering with Local Semantic Kernels", in Survey of Text Mining: Clustering, Classification, and Retrieval , Second Edition, Michael W. Berry and Malu Castellanos, Editors. Springer, January 2008.
  • C. Domeniconi and D. Gunopulos, "Local Feature Selection for Classification", in Computational Methods of Feature Selection , edited by Huan Liu and Hiroshi Motoda. Chapman and Hall/CRC Press, 2007.
  • C. Domeniconi and D. Gunopulos, "Locally Adaptive Techniques for Pattern Classification", in Encyclopedia of Data warehousing and Mining , edited by John Wang. Idea Group Inc., July 2005.
  • C. Domeniconi, D. Barbara, H. Chaudhary, A. Al-Timini, C. Jamison, "Data Mining Techniques for Microarray Data Analysis", in New Generation of Data Mining Applications , edited by M. M. Kantardzic and J. Zurada. A Wiley-IEEE Press Publication, January 2005.
Journal
Articles
  • Y. Ren, C. Domeniconi, G. Zhang, and G. Yu, "Weighted-object ensemble clustering: methods and analysis", Knowledge and Information Systems, Springer. Published online September 6, 2016. Available online pdf
  • C. Domeniconi and K. B. Laskey, "Bayesian Co-clustering", WIREs Computational Statistics, Wiley, In Print, 2015 (Invited).
  • G. Yu, H. Zhu, and C. Domeniconi, "Predicting Protein Function using Incomplete Hierarchical Labels", BMC Bioinformatics, 16:1, 2015. Online Supporting Material
  • G. Yu, H. Zhu, C. Domeniconi, and M. Guo, "Integrating Multiple Networks for Protein Function Prediction", BMC Systems Biology, 9(S1):S3, 2015. Online Supporting Material
  • G. Yu, H. Rangwala, C. Domeniconi, G. Zhang, and Z. Zhang, "Predicting Protein Functions using Multiple Kernels", IEEE/ACM Transactions in Computational Biology & Bioinformatics (TCBB), 12(1): 219 - 233, 2015. Online Supporting Material and Code
  • G. Yu, H. Rangwala, C. Domeniconi, G. Zhang, and Z. Yu, "Protein Function Prediction with Incomplete Annotations", IEEE/ACM Transactions in Computational Biology & Bioinformatics (TCBB), 11(3): 579 - 591, June 2014. pdf
  • G. Yu, H. Rangwala, C. Domeniconi, G. Zhang, and Z. Yu, "Protein Function Prediction using Multi-label Ensemble Classification", IEEE/ACM Transactions in Computational Biology & Bioinformatics (TCBB), 10(4): 1045 - 1057, 2013. pdf
  • F. Gullo, C. Domeniconi, and A. Tagarelli, "Metacluster-based Projective Clustering Ensembles", Machine Learning, Special Issue on MultiClust, Editors: E. Muller, I. Assent, S. Gunnemann, T. Seidl, and J. Dy, Springer, Published online June 29, 2013.
  • F. Gullo, C. Domeniconi, and A. Tagarelli, "Projective Clustering Ensembles", Data Mining and Knowledge Discovery, Volume 26, Issue 3, p. 452 - 511, Springer, 2013. [Published on line May 3, 2012.]
  • G. Yu, G. Zhang, Z. Yu, C. Domeniconi, J. You, and G. Han, "Semi-supervised ensemble classification in subspaces", Applied Soft Computing, Volume 12, Issue 5, pp. 1511-1522, Elsevier, May 2012.
  • G. Yu, G. Zhang, C. Domeniconi, Z. Yu, and J. You, "Semi-supervised classification based on random subspace dimensionality reduction", Pattern Recognition, Volume 45, Issue 3, pp. 1119-1135, Elsevier, March 2012. [Published on line August 30, 2011.]
  • C. Domeniconi, J. Peng, and B. Yan, "Composite Kernels for Semi-supervised Clustering", Knowledge and Information Systems, 28(1), pp. 99-116, Springer, 2011. [Published on line June 26, 2010.]
  • C. Domeniconi and M. Al-Razgan, "Weighted Cluster Ensembles: Methods and Analysis", ACM Transactions on Knowledge Discovery from Data, 2(4), January 2009. a17-domeniconi.pdf
  • P. Wang, C. Domeniconi, and J. Hu, "Cross-domain Text Classification using Wikipedia", The IEEE Intelligent Informatics Bulletin, 9(1), November 2009. IIBWiki.pdf
  • M. Halkidi, D. Gunopulos, M. Vazirgiannis, N. Kumar, and C. Domeniconi, "A Clustering Framework based on Subjective and Objective Validity Criteria", ACM Transactions on Knowledge Discovery from Data, 1(4), January 2008. a18-halkidi.pdf
  • C. Domeniconi, D. Gunopulos, S. Ma, B. Yan, M. Al-Razgan, and D. Papadopoulos, "Locally Adaptive Metrics for Clustering High Dimensional Data", Data Mining and Knowledge Discovery Journal, 14, pp. 63-97, Springer, 2007. dami07.pdf [Published on line January 26, 2007.]
  • C. Domeniconi, D. Gunopulos, and J. Peng, "Large Margin Nearest Neighbor Classifiers", IEEE Transactions on Neural Networks,, 16(4), pp. 899-909, July 2005. 01461432.pdf
  • P. Zhang, J. Peng, C. Domeniconi, "Kernel Pooled Local Subspaces for Classification", IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics. Special Issue on Learning in Computer Vision and Pattern Recognition, 35(3), pp.489-502, June 2005. kpools.pdf
  • D. Gunopulos, G. Kollios, V. Tsotras, C. Domeniconi, "Selectivity Estimators for Multi-Dimensional Range Queries over Real Attributes", VLDB Journal, 14(2), pp. 137-154, April 2005. vldb090.pdf
  • C. Domeniconi, D. Gunopulos, "An Efficient Density-Based Approach for Data Mining Tasks", Knowledge and Information Systems, 6(6), pp. 750-770, November 2004. kais04.pdf
  • C. Domeniconi, J. Peng, D. Gunopulos, "Locally Adaptive Metric Nearest Neighbor Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence , 24(9), pp. 1281-1285, September 2002. pami.pdf
Extended Abstracts
  • G. Yu, H. Zhu, and C. Domeniconi, "Predicting Protein Functions using Incomplete Hierarchical Labels", in Poster Proceedings of the European Conference on Computational Biology (ECCB), 7-10 September, Strasbourg, France, 2014.
  • E. Milios and C. Domeniconi, "Semantic Analysis of Documents Workshop (SemADoc)", in Proceedings of the ACM Symposium on Document Engineering", p. 209-210, September 16-19, Fort Collins, Colorado, USA, 2014.
  • C. Domeniconi, "Subspace Clustering Ensembles" (also Invited Talk), MultiClust@SDM, p. 1 - 2, 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012. pdf
  • P. Wang, K. B. Laskey, and C. Domeniconi, "Population MCMC for Dirichlet Diffusion Trees", The Learning Workshop, Fort Lauderdale, Florida, April 13-16, 2011. 157.pdf
  • P. Wang, K. B. Laskey, and C. Domeniconi, "Nonparametric Bayesian Methods for Relational Clustering", The Learning Workshop, Cliff Lodge, Snowbird, Utah, April 6-9, 2010. 129.pdf
  • P. Wang, C. Domeniconi, and K. B. Laskey, "Nonparametric Bayesian Co-clustering Ensembles", Workshop on Nonparametric Bayes, held in conjunction with NIPS, Whistler, BC, Canada, December 11-12, 2009.
  • J. Rogers, D. Barbara, and C. Domeniconi, "Detecting Spatio-Temporal Outliers with Kernels and Statistical Testing" in Proceedings of the International Conference on Geoinformatics, Fairfax, VA, August 12-14, 2009.
Refereed
Conference
and
Workshop
Papers
  • New! A. Kulkarni, P. Mani, and C. Domeniconi, "Network-based Anomaly Detection for Insider Trading", In Proceedings of the Workshop on Inferring Networks from Non-Network Data (NETINF'17) (in conjunction with SDM) , Houston, Texas, April 27, 2017 pdf
  • M. Revelle, C. Domeniconi,and A. Johri, "Persistent Roles in Online Social Networks", in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-16) , Riva del Garda, Italy, Sept 19 - 23, 2016 (Acceptance rate 28%) pdf
  • B. Gelman, M. Revelle, C. Domeniconi, A. Johri, and K. Veeramachaneni, "Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs", in Proceedings of the International Conference on Educational Data Mining , Raleigh, North Carolina, June 29 - July 2, 2016. pdf
  • B. Gelman, C. Beckley, A. Johri, C. Domeniconi, and S. Yang, "Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community", in Proceedings of the ACM Conference on Learning at Scale (L@S), The University of Edinburgh, April 25-26, 2016 (Acceptance rate 22%). pdf
  • M. Revelle, C. Domeniconi, and A. Johri, "Evidence of Temporal Artifacts in Social Networks", in Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) (in conjunction with ECML-PKDD), Porto, Portugal, September 7, 2015. pdf Source Code
  • M. Revelle, C. Domeniconi, M. Sweeney, and A. Johri, "Finding Community Topics and Membership in Graphs", in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-15), Porto, Portugal, September 7 - 11, 2015 (Acceptance rate 23.2%). pdf
  • T. Saha, H. Rangwala, and C. Domeniconi, "Predicting Preference Tags to Improve Item Recommendation", in Proceedings of the SIAM International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30 - May 2, 2015.
  • D. Etter and C. Domeniconi, "Multi2Rank: Multimedia Multiview Ranking", in Proceedings of the IEEE International Conference on Multimedia Big Data (BigMM), Beijing, China, April 20 - April 22, 2015 (Acceptance rate 22.47%).
  • S. Yang, C. Domeniconi, M. Revelle, M. Sweeney, B. U. Gelman, C. Beckley, and A. Johri, "Uncovering Trajectories of Informal Learning in Large Online Communities of Creators", in Proceedings of the ACM Conference on Learning at Scale (L@S),Vancouver, British Columbia, Canada, March 14-15, 2015. pdf
  • D. Etter and C. Domeniconi, "SemRank: Semantic Rank Learning for Multimedia Retrieval", in Proceedings of the IEEE International Conference on Semantic Computing (ICSC), Anaheim, California, USA, February 7-9, 2015 (Acceptance rate 27%). pdf
  • Y. Ren, U. Kamath, C. Domeniconi, and G. Zhang, "Boosted Mean Shift Clustering", in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-14), Nancy, France, September 15 - 19, 2014. pdf
  • T. Saha, H. Rangwala, and C. Domeniconi, "FLIP: Active Learning for Relational Network Classification", in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-14), Nancy, France, September 15 - 19, 2014.
  • D. Etter and C. Domeniconi, "Semi-Supervised Rank Learning for Multimedia Known-Item Search", in Proceedings of the ACM International Conference on Multimedia Retrieval, Glasgow, Scotland, UK, April 1 - 4, 2014. pdf
  • Y. Ren, C. Domeniconi, G. Zhang, and G. Yu, "A Weighted Adaptive Mean Shift Clustering Algorithm", in Proceedings of the SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, April 24 - 26, 2014. pdf Supplement File
  • Y. Ren, C. Domeniconi, G. Zhang, and G. Yu, "Weighted-Object Ensemble Clustering", in Proceedings of the IEEE 13th International Conference on Data Mining, Dallas, Texas, December 7 - 10, 2013. pdf
  • G. Yu, C. Domeniconi, H. Rangwala, and G. Zhang, "Protein Function Prediction using Dependence Maximization", in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-13), Prague, Czech Republic, September 23 - 27, 2013. pdf
  • G. Yu, H. Rangwala, C. Domeniconi, G. Zhang, and Z. Zhang "Protein Function Prediction by Integrating Multiple Kernels", in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China, August 3 - 9, 2013. pdf
  • U. Kamath, C. Domeniconi, and K. A. De Jong "An Analysis of a Spatial EA Parallel Boosting Algorithm", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Amsterdam, July 6 - 10, 2013. pdf
  • T. Saha, H. Rangwala, and C. Domeniconi "Sparsification and Sampling of Networks for Collective Classification", in Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction, Washington D.C., April 2 - 5, 2013. pdf
  • T. Saha, H. Rangwala, and C. Domeniconi "Multi-label Collective Classificatin using Adaptive Neighborhoods", in Proceedings of the International Conference on Machine Learning and Applications, p. 427-432, Boca Raton, Florida, December 12 - 15, 2012. pdf
  • G. Yu, G. Zhang, H. Rangwala, C. Domeniconi, and Z. Yu "Protein Function Prediction using Weak-label Learning", in Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine, p. 202-209, Orlando, Florida, October 7 - 10, 2012. pdf
  • G. Yu, C. Domeniconi, H. Rangwala, G. Zhang, and Z. Yu "Transductive Multi-label Ensemble Classification for Protein Function Prediction", in Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Beijing, China, August 12 - 16, 2012. pdf
  • F. Gullo, A. K. A. Talukder, S. Luke, C. Domeniconi, and A. Tagarelli "Multiobjective Optimization of Co-Clustering Ensembles" (poster paper), in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Philadelphia, USA, July 7 - 11, 2012. pdf [Longer version]
  • P. Wang, C. Domeniconi, H. Rangwala, and K. B. Laskey "Feature Enriched Nonparametric Bayesian Co-clustering", in Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kuala Lumpur, Malaysia, May 29 - June 1, 2012. pdf
  • R. Basili, C. Giannone, D. Croce, and C. Domeniconi "Latent Topic Models of Surface Syntactic Information", in Proceedings of the Conference of the Italian Association for Artificial Intelligence, Palermo, Italy, September 15-17, 2011.
  • T. Saha, C. Domeniconi, and H. Rangwala "Detection of Communities and Bridges in Weighted Networks", in Proceedings of the International Conference on Machine Learning and Data Mining, New York, August 30 - September 3, 2011. pdf
  • F. Gullo, C. Domeniconi, and A. Tagarelli "Advancing Data Clustering via Projective Clustering Ensembles", in Proceedings of the ACM SIGMOD International Conference on Management of Data, Athens, Greece, June 12-16, 2011. pdf Source code
  • P. Wang, K. B. Laskey, C. Domeniconi, and M. I. Jordan "Nonparametric Bayesian Co-clustering Ensembles", in Proceedings of the SIAM International Conference on Data Mining, Mesa, Arizona, April 28-30, 2011. Best Student Paper NBCCE.pdf
  • F. Gullo, C. Domeniconi, and A. Tagarelli "Enhancing Single-Objective Projective Clustering Ensembles", in Proceedings of the IEEE International Conference on Data Mining, Sydney, Australia, December 14-17, 2010. PCE.pdf
  • P. Wang, C. Domeniconi, and K. B. Laskey "Nonparametric Bayesian Clustering Ensembles", in Proceedings of the European Conference on Machine Learning and Principles and Practise of Knowledge Discovery in Databases, Barcelona, Spain, September 20-24, 2010. NBCE-final.pdf
  • P. Wang, C. Domeniconi, and K. B. Laskey "Information Bottleneck Co-clustering", in Proceedings of the Workshop on Text Mining, held in conjunction with the SIAM International Conference on Data Mining, Columbus, Ohio, May 1st, 2010. IBCC_TMW_final.pdf
  • P. Wang and C. Domeniconi "Towards a Universal Text Classifier: Transfer Learning using Encyclopedic Knowledge", in Proceedings of the First International Workshop on Transfer Mining, held in conjunction with the IEEE International Conference on Data Mining, Miami, Florida, December 6-9, 2009. uc-TMW.pdf
  • F. Gullo, C. Domeniconi, and A. Tagarelli "Projective Clustering Ensembles", in Proceedings of the IEEE International Conference on Data Mining, Miami, Florida, December 6-9, 2009. ICDM09-v1.pdf
  • P. Wang, C. Domeniconi, and K. B. Laskey "Latent Dirichlet Bayesian Co-Clustering", in Proceedings of the European Conference on Machine Learning and Principles and Practise of Knowledge Discovery in Databases, Bled, Slovenia, September 7-11, 2009. ldcc-final.pdf
  • L. AlSumait, D. Barbara, J. Gentle, and C. Domeniconi "Topic Significance Ranking of LDA Generative Models", in Proceedings of the European Conference on Machine Learning and Principles and Practise of Knowledge Discovery in Databases, Bled, Slovenia, September 7-11, 2009. ECML09_AlSumaitetal.pdf
  • L. AlSumait, D. Barbara, and C. Domeniconi "The role of semantic history on online generative topic modeling", in Proceedings of the Workshop on Text Mining, held in conjunction with the SIAM International Conference on Data Mining John Ascuaga's Nugget, Sparks, Nevada, May 2, 2009. Siam_SemOLDA.pdf
  • P. Wang, C. Domeniconi, and J. Hu "Using Wikipedia for Co-clustering Based Cross-domain Text Classifcation", in Proceedings of the IEEE International Conference on Data Mining, Pisa, Italy, December 15-19, 2008. wangp-cowiki.pdf
  • L. AlSumait, D. Barbara, and C. Domeniconi "On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking", in Proceedings of the IEEE International Conference on Data Mining, Pisa, Italy, December 15-19, 2008. AlsumaitL_onlineLDA.pdf
  • D. Barbara, C. Domeniconi, Zoran Duric, Maurizio Filippone, Richard Mansfield, and Edgar Lawson "Detecting Suspicious Behavior in Surveillance Images", in Proceedings of the First International Workshop on Video Mining, held in conjunction with the IEEE International Conference on Data Mining, Pisa, Italy, December 19, 2008. BarbaraDimageanomaly.pdf
  • P. Wang and C. Domeniconi "Building Semantic Kernels for Text Classification using Wikipedia", in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NE, August 24-27, 2008. kdd277-domeniconi.pdf
  • C. Domeniconi and M. Al-Razgan "Penta-Training: Clustering Ensembles with Bootstrapping of Constraints", in Proceedings of the Workshop on Supervised and Unsupervised Ensemble Methods and their Applications, held in conjunction with the 18th European Conference on Artificial Intelligence University of Patras, Patras, Greece, July 21-22, 2008. Penta_training.pdf
  • M. Al-Razgan, C. Domeniconi, and D. Barbara "Clustering Ensembles for Categorical Data", in Proceedings of the Workshop on Supervised and Unsupervised Ensemble Methods and their Applications, held in conjunction with the Third Iberian Conference on Pattern Recognition and Image Analysis Girona, Spain, June 4, 2007. ens-coolcat.pdf
  • L. AlSumait and C. Domeniconi "Local Semantic Kernels for Text Document Clustering", in Proceedings of the Workshop on Text Mining, held in conjunction with the Seventh SIAM International Conference on Data Mining Minneapolis, Minnesota, April 28, 2007. finalSemLAC.pdf
  • A. Brodsky, C. Domeniconi, and D. Etter "Regression Databases: Probabilistic Querying using Sparse Learning Sets", in Proceedings of the Fifth International Conference on Machine Learning and Applications, Orlando, Florida, December 14-16, 2006. brodsky-redb.pdf
  • B. Yan and C. Domeniconi "Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering", in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, October 8-11, 2006. SMC_01128.pdf
  • B. Yan and C. Domeniconi "An Adaptive Kernel Method for Semi-supervised Clustering", in Proceedings of the 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006. ak-final.pdf
  • B. Yan and C. Domeniconi "Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data", in Proceedings of the 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006. sl-final.pdf
  • D. Barbara, C. Domeniconi, and J. P. Rogers "Detecting Outliers using Transduction and Statistical Testing", in Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, August 20-23, 2006. rtfp719-domeniconi.pdf
  • M. Al-Razgan and C. Domeniconi "Weighted Clustering Ensembles", in Proceedings of the SIAM International Conference on Data Mining , Bethesda, Maryland, April 20-22, 2006. final-sdm06.pdf
  • M. Halkidi, D. Gunopulos, N. Kumar, M. Vazirgiannis, C. Domeniconi "A Framework for Semi-Supervised Learning based on Subjective and Objective Clustering Criteria", in Proceedings of the Fifth IEEE International Conference on Data Mining , Houston, Texas, November 27-30, 2005.
  • N. Kang, C. Domeniconi, D. Barbara, "Categorization and Keyword Identification of Unlabeled Documents", in Proceedings of the Fifth IEEE International Conference on Data Mining , Houston, Texas, November 27-30, 2005. short-icdm05.pdf
  • S. Raman and C. Domeniconi, "Gene Expression Analysis of HIV-1 Linked p24-specific CD4+ T-Cell Responses for Identifying Genetic Markers", in Proceedings of the International Workshop on Feature Selection for Data Mining: Interfacing Machine Learning with Statistics. In conjnction with SIAM International Conference on Data Mining , Newport Beach, California, April 21-23, 2005. raman.pdf
  • C. Domeniconi and B. Yan, "On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers", in Proceedings of the SIAM International Conference on Data Mining , Newport Beach, California, April 21-23, 2005. sdm05.pdf
  • H. Chai and C. Domeniconi, "An Evaluation of Gene Selection Methods for Multi-class Microarray Data Classification", in Proceedings of the Second European Workshop on Data Mining and Text Mining for Bioinformatics (in conjunction with ECML/PKDD), Pisa, Italy, September 24, 2004. 1.pdf
  • C. Domeniconi and B. Yan, "Nearest Neighbor Ensemble", in Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, UK, August 23-26, 2004. NNensemble.pdf
  • C. Domeniconi, D. Papadopoulos, D. Gunopulos, S. Ma, "Subspace Clustering of High Dimensonal Data", in Proceedings of the SIAM International Conference on Data Mining , Lake Buena Vista, Florida, April 22-24, 2004. final-sdm04.pdf [This work has been presented also at the Hellenic Data Management Symposium , Athens, Greece, August 25-26, 2005. HDMS ]
  • D. Barbara, C. Domeniconi, N. Kang, "Classifying Documents Without Labels", in Proceedings of the SIAM International Conference on Data Mining , Lake Buena Vista, Florida, April 22-24, 2004. sdm04.pdf [Extended Version]
  • D. Barbara, C. Domeniconi, N. Kang, "Mining Relevant Text from Unlabelled Documents", in Proceedings of the Third IEEE International Conference on Data Mining , Melbourne, Florida, November 19-22, 2003. icdm03.pdf
  • P. Zhang, J. Peng, C. Domeniconi, "Dimensionality Reduction Using Kernel Pooled Local Discriminant Information", in Proceedings of the Third IEEE International Conference on Data Mining , Melbourne, Florida, November 19-22, 2003. kpool-icdm03.pdf
  • P. Zhang, J. Peng, C. Domeniconi, "Kernel Pooled Local Subspaces for Classification", in Proceedings of the IEEE Workshop on Learning in Computer Vision and Pattern Recognition (in conjunction with CVPR), June 22, 2003, Madison, Wisconsin. zhang-final.pdf
  • D. Papadopoulos, C. Domeniconi, D. Gunopulos, S. Ma, "Clustering Gene Expression Data in SQL Using Locally Adaptive Metrics", in Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, June 13, 2003, San Diego, California. dmkd03.camera-ready.sql.lac.pdf.gz
  • C. Domeniconi, C. S. Perng, R. Vilalta, S. Ma, "A Classification Approach for Prediction of Target Events in Temporal Sequences", in Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) , 2002 ecml02.pdf.gz
  • M. Vlachos, C. Domeniconi, D. Gunopulos, G. Kollios, N. Koudas, "Non-Linear Dimensionality Reduction Techniques for Classification and Visualization", in Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , 2002 kdd02.pdf.gz
  • C. Domeniconi, D. Gunopulos, "Efficient Local Flexible Nearest Neighbor Classification", in Proceedings of the Second SIAM Intl. Conference on Data Mining , 2002. sdm02.pdf.gz
  • C. Domeniconi, D. Gunopulos, "Adaptive Nearest Neighbor Classification using Support Vector Machines", Advances in Neural Information Processing Systems 14 , MIT Press (NIPS-2001). nips01.pdf.gz
  • C. Domeniconi, D. Gunopulos, "Incremental Support Vector Machine Construction", in Proceedings of the First IEEE International Conference on Data Mining (ICDM), 2001. two.pdf and icdm01.pdf.gz [extended version]
  • C. Domeniconi, D. Gunopulos, "An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets", in Proceedings of the Eighteenth International Conference on Machine Learning , 2001. icml01.pdf.gz
  • C. Domeniconi, J. Peng, D. Gunopulos, "An Adaptive Metric Machine for Pattern Classification", Advances in Neural Information Processing Systems 13 , MIT Press, 2001 (NIPS-2000). nips00.pdf.gz
  • C. Domeniconi, J. Peng, D. Gunopulos, "Adaptive Metric Nearest Neighbor Classification", in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition , June 13-15, 2000, Hilton Head Island, South Carolina. cvpr.pdf
  • D. Gunopulos, G. Kollios, V. Tsotras, C. Domeniconi, "Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes", in Proceedings of the 19th ACM-SIGMOD Intl. Conference on Management of Data , 2000, Dallas. sigmod00.pdf.gz
  • C. Domeniconi, S. Tari, P. Liang, "Direct Gray Scale Ridge Reconstruction in Fingerprint Images", in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing , May 12-15, 1998, Seattle, Washington. icassp.pdf.gz
  • C. Domeniconi, "Proposal of a Darwin-Neural Network for a Robot Implementation", in Proceedings of the 8th Italian Workshop on Neural Nets , Vietri sul Mare, Salerno, Italy, 23-25 May 1996. wirn.doc
Other
Workshop
Papers
  • D. Gunopulos, G. Kollios, V. Tsotras, C. Domeniconi, "Using kernels to approximate multi-dimensional aggregate range queries over real attributes", presented at the Workshop on New Perspectives in Kernel-Based Learning Methods, NIPS 2000. abstract-wsnips00.pdf [abstract] and wsnips00.pdf.gz [poster]
  • G. Reni, S. Cavenaghi, C. M. Mambretti, U. Pozzoli, C. Domeniconi, "Neural network analysis of the Touwen's neurological protocol", in Proceedings of the 3rd European Conference on Engineering and Medicine , Florence, Italy, April 30th - May 3rd, 1995.
Other
Technical
Reports
  • C. Domeniconi, J. Peng, D. Gunopulos, "Locally Adaptive Metric Nearest Neighbor Classification", Technical Report UCR-CSE-00-02, August 10, 2000. UCR_CSE_00_01.pdf.gz
  • C. Domeniconi, D. Gunopulos, G. Kollios, V. Tsotras, "Using kernels to approximate multi-dimensional aggregate range queries over real attributes", Technical Report UCR-CSE-00-04, November 22, 2000. UCR_CS_00_04.pdf
  • C.Domeniconi, D. Gunopulos, "Adaptive Nearest Neighbor Classification using Support Vector Machines", Technical Report UCR-CSE-01-04, June 4, 2001. UCR_CSE_01_04.pdf
PhD Thesis
  • Locally Adaptive Techniques for Pattern Classification (main.pdf.gz)
MS Thesis