Domeniconi, Carlotta

36 publications

IJCAI 2025 Aligning Contrastive Multiple Clusterings with User Interests Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu

ECML-PKDD 2025 DispaRisk: Assessing Fairness Through Usable Information Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala

AAAI 2024 Federated Causality Learning with Explainable Adaptive Optimization Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang

AAAI 2023 Incentive-Boosted Federated Crowdsourcing Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang

AAAI 2023 Long-Tail Cross Modal Hashing Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang

AISTATS 2022 Hypergraph Simultaneous Generators Bahman Pedrood, Carlotta Domeniconi, Kathryn Laskey

IJCAI 2021 Few-Shot Partial-Label Learning Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi

MLJ 2021 Multiple Clusterings of Heterogeneous Information Networks Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IJCAI 2020 Crowdsourcing with Multiple-Source Knowledge Transfer Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi

MLJ 2020 Introduction to the Special Issue of the ECML PKDD 2020 Journal Track Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier

AAAI 2020 Multi-View Multiple Clusterings Using Deep Matrix Factorization Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang

IJCAI 2020 Weakly-Supervised Multi-View Multi-Instance Multi-Label Learning Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IJCAI 2019 ActiveHNE: Active Heterogeneous Network Embedding Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang

AAAI 2019 Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo

IJCAI 2019 Multi-View Multiple Clustering Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

AAAI 2019 Multiple Independent Subspace Clusterings Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo

AAAI 2019 Ranking-Based Deep Cross-Modal Hashing Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo

IJCAI 2018 Incomplete Multi-View Weak-Label Learning Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang

IJCAI 2018 Multi-Label Co-Training Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang

ECML-PKDD 2016 Persistent Roles in Online Social Networks Matt Revelle, Carlotta Domeniconi, Aditya Johri

ECML-PKDD 2015 Finding Community Topics and Membership in Graphs Matt Revelle, Carlotta Domeniconi, Mack Sweeney, Aditya Johri

MLJ 2015 Metacluster-Based Projective Clustering Ensembles Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli

ECML-PKDD 2014 Boosted Mean Shift Clustering Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang

ECML-PKDD 2014 FLIP: Active Learning for Relational Network Classification Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi

ECML-PKDD 2013 Protein Function Prediction Using Dependence Maximization Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang

IJCAI 2013 Protein Function Prediction by Integrating Multiple Kernels Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang

ECML-PKDD 2010 Nonparametric Bayesian Clustering Ensembles Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey

ECML-PKDD 2009 Latent Dirichlet Bayesian Co-Clustering Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey

ECML-PKDD 2009 Topic Significance Ranking of LDA Generative Models Loulwa S. Al-Sumait, Daniel Barbará, James Gentle, Carlotta Domeniconi

ECML-PKDD 2006 An Adaptive Kernel Method for Semi-Supervised Clustering Bojun Yan, Carlotta Domeniconi

ECML-PKDD 2006 Subspace Metric Ensembles for Semi-Supervised Clustering of High Dimensional Data Bojun Yan, Carlotta Domeniconi

CVPRW 2003 Kernel Pooled Local Subspaces for Classification Peng Zhang, Jing Peng, Carlotta Domeniconi

NeurIPS 2001 Adaptive Nearest Neighbor Classification Using Support Vector Machines Carlotta Domeniconi, Dimitrios Gunopulos

ICML 2001 An Efficient Approach for Approximating Multi-Dimensional Range Queries and Nearest Neighbor Classification in Large Datasets Carlotta Domeniconi, Dimitrios Gunopulos

CVPR 2000 Adaptive Metric Nearest Neighbor Classification Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng

NeurIPS 2000 An Adaptive Metric Machine for Pattern Classification Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos