Carlotta Domeniconi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
87
Venues
25
Active years
1998–2026
Best venue rank
A*
Where they publish
- A*ICDM26 papers
- ASDM13 papers
- A*AAAI9 papers
- A*IJCAI9 papers
- A*KDD5 papers
- BPAKDD2 papers
- AGECCO2 papers
- CICMLA2 papers
- A*SIGMOD2 papers
- A*CVPR2 papers
- AEACL1 paper
- A*ICDE1 paper
- ANAACL1 paper
- A*ACL1 paper
- AAISTATS1 paper
- BIJCNN1 paper
- BDASFAA1 paper
- MulticonferenceSAC1 paper
- BPRICAI1 paper
- BEDM1 paper
- BDocEng1 paper
- BSMC1 paper
- BICPR1 paper
- A*ICML1 paper
- MulticonferenceICASSP1 paper
Papers
87 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Counterfactual Fairness with Imperfect Causal Graphs. | Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang, Guoxian Yu |
| 2026 | AAAI | MLLM Enriched Explainable Multiple Clustering. | Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du, Jun Wang, Guoxian Yu |
| 2026 | EACL | Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models. | Sumanth Manduru, Carlotta Domeniconi |
| 2025 | ICDM | Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs. | Dipak Meher, Carlotta Domeniconi |
| 2025 | IJCAI | Aligning Contrastive Multiple Clusterings with User Interests. | Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu |
| 2025 | KDD | Causal Discovery from Shifted Multiple Environments. | Dezhi Yang, Guoxian Yu, Jun Wang, Jinglin Zhang, Carlotta Domeniconi |
| 2024 | AAAI | Federated Causality Learning with Explainable Adaptive Optimization. | Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang |
| 2024 | ICDE | Semi-Asynchronous Online Federated Crowdsourcing. | Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi |
| 2024 | NAACL | Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings. | Raj Patel, Carlotta Domeniconi |
| 2023 | AAAI | Long-Tail Cross Modal Hashing. | Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang |
| 2023 | AAAI | Incentive-Boosted Federated Crowdsourcing. | Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang |
| 2023 | ACL | Enhancing Out-of-Vocabulary Estimation with Subword Attention. | Raj Patel, Carlotta Domeniconi |
| 2022 | AISTATS | Hypergraph Simultaneous Generators. | Bahman Pedrood, Carlotta Domeniconi, Kathryn B. Laskey |
| 2022 | ICDM | Few-shot Partial Multi-label Learning with Data Augmentation. | Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi |
| 2021 | ICDM | Crowdsourcing with Self-paced Workers. | Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui |
| 2021 | ICDM | Incomplete Multi-view Multi-label Active Learning. | Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi |
| 2021 | ICDM | Few-Shot Partial Multi-Label Learning. | Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui |
| 2021 | IJCAI | Few-Shot Partial-Label Learning. | Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi |
| 2021 | PAKDD | Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. | Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo |
| 2021 | SDM | Unsupervised Selective Manifold Regularized Matrix Factorization. | Priya Mani, Carlotta Domeniconi, Igor Griva |
| 2021 | SDM | Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. | Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | AAAI | Multi-View Multiple Clusterings Using Deep Matrix Factorization. | Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | ICDM | Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization. | Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi |
| 2020 | ICDM | Deep Incomplete Multi-View Multiple Clusterings. | Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | ICDM | Multi-typed Objects Multi-view Multi-instance Multi-label Learning. | Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | ICDM | Partial Multi-label Learning using Label Compression. | Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | IJCAI | Crowdsourcing with Multiple-Source Knowledge Transfer. | Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi |
| 2020 | IJCAI | Weakly-Supervised Multi-view Multi-instance Multi-label Learning. | Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | IJCNN | Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. | Raj Patel, Carlotta Domeniconi |
| 2020 | SDM | Attention-Aware Answers of the Crowd. | Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | AAAI | Ranking-Based Deep Cross-Modal Hashing. | Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo |
| 2019 | AAAI | Multiple Independent Subspace Clusterings. | Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo |
| 2019 | AAAI | Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. | Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo |
| 2019 | DASFAA | Selective Matrix Factorization for Multi-relational Data Fusion. | Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo |
| 2019 | ICDM | Cross-Modal Zero-Shot Hashing. | Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | IJCAI | ActiveHNE: Active Heterogeneous Network Embedding. | Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang |
| 2019 | IJCAI | Multi-View Multiple Clustering. | Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | SAC | Graph-based selective outlier ensembles. | Hamed Sarvari, Carlotta Domeniconi, Giovanni Stilo |
| 2019 | SDM | Discovering Multiple Co-Clusterings in Subspaces. | Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo |
| 2018 | ICDM | Cost Effective Multi-label Active Learning via Querying Subexamples. | Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang |
| 2018 | ICDM | Multi-label Answer Aggregation Based on Joint Matrix Factorization. | Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo |
| 2018 | ICDM | Multiple Co-clusterings. | Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang |
| 2018 | ICDM | Feature-Induced Partial Multi-label Learning. | Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu |
| 2018 | IJCAI | Incomplete Multi-View Weak-Label Learning. | Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2018 | IJCAI | Multi-Label Co-Training. | Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2018 | PRICAI | Matrix Factorization for Identifying Noisy Labels of Multi-label Instances. | Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2018 | SDM | Multi-view Weak-label Learning based on Matrix Completion. | Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2016 | EDM | Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs. | Ben U. Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni, Aditya Johri |
| 2015 | SDM | Predicting Preference Tags to Improve Item Recommendation. | Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi |
| 2014 | DocEng | Semantic analysis of documents workshop (SemADoc): extended abstract. | Evangelos E. Milios, Carlotta Domeniconi |
| 2014 | SDM | A Weighted Adaptive Mean Shift Clustering Algorithm. | Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu |
| 2013 | GECCO | An analysis of a spatial EA parallel boosting algorithm. | Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong |
| 2013 | ICDM | Weighted-Object Ensemble Clustering. | Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu |
| 2013 | IJCAI | Protein Function Prediction by Integrating Multiple Kernels. | Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang |
| 2012 | GECCO | Multiobjective optimization of co-clustering ensembles. | Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli |
| 2012 | ICMLA | Multi-label Collective Classification Using Adaptive Neighborhoods. | Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi |
| 2012 | KDD | Transductive multi-label ensemble classification for protein function prediction. | Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu |
| 2012 | PAKDD | Feature Enriched Nonparametric Bayesian Co-clustering. | Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey |
| 2011 | SIGMOD | Advancing data clustering via projective clustering ensembles. | Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli |
| 2011 | SDM | Nonparametric Bayesian Co-clustering Ensembles. | Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, Michael I. Jordan |
| 2010 | ICDM | Enhancing Single-Objective Projective Clustering Ensembles. | Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli |
| 2009 | ICDM | Projective Clustering Ensembles. | Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli |
| 2009 | ICDM | Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge. | Pu Wang, Carlotta Domeniconi |
| 2008 | ICDM | On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking. | Loulwa S. Al-Sumait, Daniel Barbar, Carlotta Domeniconi |
| 2008 | ICDM | Detecting Suspicious Behavior in Surveillance Images. | Daniel Barbar, Carlotta Domeniconi, Zoran Duric, Maurizio Filippone, Richard Mansfield, Edgard Lawson |
| 2008 | ICDM | Using Wikipedia for Co-clustering Based Cross-Domain Text Classification. | Pu Wang, Carlotta Domeniconi, Jian Hu |
| 2008 | KDD | Building semantic kernels for text classification using wikipedia. | Pu Wang, Carlotta Domeniconi |
| 2006 | ICMLA | Regression Databases: Probabilistic Querying Using Sparse Learning Sets. | Alexander Brodsky, Carlotta Domeniconi, David Etter |
| 2006 | KDD | Detecting outliers using transduction and statistical testing. | Daniel Barbar, Carlotta Domeniconi, James P. Rogers |
| 2006 | SMC | Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering. | Bojun Yan, Carlotta Domeniconi |
| 2006 | SDM | Weighted Clustering Ensembles. | Muna Al-Razgan, Carlotta Domeniconi |
| 2005 | ICDM | A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria. | Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, Carlotta Domeniconi |
| 2005 | ICDM | Categorization and Keyword Identification of Unlabeled Documents. | Ning Kang, Carlotta Domeniconi, Daniel Barbar |
| 2005 | SDM | On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers. | Carlotta Domeniconi, Bojun Yan |
| 2004 | ICPR | Nearest Neighbor Ensemble. | Carlotta Domeniconi, Bojun Yan |
| 2004 | SDM | Classifying Documents Without Labels. | Daniel Barbar, Carlotta Domeniconi, Ning Kang |
| 2004 | SDM | Subspace Clustering of High Dimensional Data. | Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, Sheng Ma |
| 2003 | CVPR | Kernel Pooled Local Subspaces for Classification. | Peng Zhang, Jing Peng, Carlotta Domeniconi |
| 2003 | ICDM | Mining Relevant Text from Unlabelled Documents. | Daniel Barbar, Carlotta Domeniconi, Ning Kang |
| 2003 | ICDM | Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. | Peng Zhang, Jing Peng, Carlotta Domeniconi |
| 2002 | KDD | Non-linear dimensionality reduction techniques for classification and visualization. | Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas |
| 2002 | SDM | Efficient Local Flexible Nearest Neighbor Classification. | Carlotta Domeniconi, Dimitrios Gunopulos |
| 2001 | ICDM | Incremental Support Vector Machine Construction. | Carlotta Domeniconi, Dimitrios Gunopulos |
| 2001 | ICML | An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets. | Carlotta Domeniconi, Dimitrios Gunopulos |
| 2000 | CVPR | Adaptive Metric nearest Neighbor Classification. | Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng |
| 2000 | SIGMOD | Approximating Multi-Dimensional Aggregate Range Queries over Real Attributes. | Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, Carlotta Domeniconi |
| 1998 | ICASSP | Direct gray scale ridge reconstruction in fingerprint images. | Carlotta Domeniconi, Sibel Tari, Ping Liang |