Carlotta Domeniconi

229 papers A* 48A 15B 9C 1Misc 2Journal 99Unranked 45
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models.
EACL (Student Research Workshop)
Sumanth Manduru, Carlotta Domeniconi
2026 J jnl
Coarse-to-Fine Learning of Dynamic Causal Structures.
CoRR
Dezhi Yang, Qiaoyu Tan, Carlotta Domeniconi, Jun Wang, Li-Zhen Cui, Guoxian Yu
2026 A* conf
Counterfactual Fairness with Imperfect Causal Graphs.
AAAI
Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang, Guoxian Yu
2026 A* conf
MLLM Enriched Explainable Multiple Clustering.
AAAI
Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du, Jun Wang, Guoxian Yu
2025 A* conf
Aligning Contrastive Multiple Clusterings with User Interests.
IJCAI
Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu
2025 J jnl
CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks.
CoRR
Dipak Meher, Carlotta Domeniconi, Guadalupe Correa-Cabrera
2025 — conf
Causal Discovery from Shifted Multiple Environments.
KDD (1)
Dezhi Yang, Guoxian Yu, Jun Wang, Jinglin Zhang, Carlotta Domeniconi
2025 — conf
DispaRisk: Assessing Fairness Through Usable Information.
ECML/PKDD (1)
Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala
2025 J jnl
Fairness is Not Silence: Unmasking Vacuous Neutrality in Small Language Models.
CoRR
Sumanth Manduru, Carlotta Domeniconi
2025 — conf
Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs.
ICDM (Workshops)
Dipak Meher, Carlotta Domeniconi
2025 J jnl
Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs.
CoRR
Dipak Meher, Carlotta Domeniconi
2025 — conf
LINK-KG: LLM-Driven Coreference-Resolved Knowledge Graphs for Human Smuggling Networks.
ICKG
Dipak Meher, Carlotta Domeniconi, Guadalupe Correa-Cabrera
2025 J jnl
LINK-KG: LLM-Driven Coreference-Resolved Knowledge Graphs for Human Smuggling Networks.
CoRR
Dipak Meher, Carlotta Domeniconi, Guadalupe Correa-Cabrera
2025 J jnl
Multi-Dimensional Causality Fairness Learning.
IEEE Trans. Knowl. Data Eng.
Cong Su, Guoxian Yu, Jun Wang, Wei Guo, Yongqing Zheng, Carlotta Domeniconi
2025 J jnl
Personalized federated few-shot node classification.
Sci. China Inf. Sci.
Yunfeng Zhao, Xintong He, Guoxian Yu, Jun Wang, Yongqing Zheng, Carlotta Domeniconi
2025 J jnl
Sophon: Byzantine-Robust Federated Learning via Dual Trust Mechanism.
IEEE Trans. Dependable Secur. Comput.
Xiaoqiang Gui, Guoxian Yu, Jun Wang, Zhongmin Yan, Wei Wang, Carlotta Domeniconi, Lizhen Cui
2024 J jnl
Causality-Based Fair Multiple Decision by Response Functions.
ACM Trans. Knowl. Discov. Data
Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi
2024 J jnl
DispaRisk: Assessing and Interpreting Disparity Risks in Datasets.
CoRR
Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala
2024 J jnl
FedTA: Federated Worthy Task Assignment for Crowd Workers.
IEEE Trans. Dependable Secur. Comput.
Xiangping Kang, Guoxian Yu, Lanju Kong, Carlotta Domeniconi, Xiangliang Zhang, Qingzhong Li
2024 A* conf
Federated Causality Learning with Explainable Adaptive Optimization.
AAAI
Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang
2024 J jnl
Few-shot partial multi-label learning with synthetic features network.
Knowl. Inf. Syst.
Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi
2024 J jnl
Gradient-Based Local Causal Structure Learning.
IEEE Trans. Cybern.
Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo
2024 J jnl
Multiple clusterings: Recent advances and perspectives.
Comput. Sci. Rev.
Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2024 J jnl
Personalized Federated Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui
2024 A* conf
Semi-Asynchronous Online Federated Crowdsourcing.
ICDE
Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi
2024 — conf
Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings.
NAACL-HLT (Findings)
Raj Patel, Carlotta Domeniconi
2023 J jnl
A Diversified Attention Model for Interpretable Multiple Clusterings.
IEEE Trans. Knowl. Data Eng.
Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang
2023 J jnl
Directed Acyclic Graph Learning on Attributed Heterogeneous Network.
IEEE Trans. Knowl. Data Eng.
Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo
2023 — conf
Enhancing Out-of-Vocabulary Estimation with Subword Attention.
ACL (Findings)
Raj Patel, Carlotta Domeniconi
2023 J jnl
Federated Causality Learning with Explainable Adaptive Optimization.
CoRR
Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang
2023 J jnl
Few-shot partial multi-label learning via prototype rectification.
Knowl. Inf. Syst.
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui
2023 A* conf
Incentive-Boosted Federated Crowdsourcing.
AAAI
Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang
2023 A* conf
Long-Tail Cross Modal Hashing.
AAAI
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
2023 J jnl
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion.
Inf. Fusion
Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo
2023 — conf
Simulation and Optimization Techniques for the Mitigation of Disruptions to Supply Chains.
ANNSIM
Raj Patel, Abhisekh Rana, Sean Luke, Carlotta Domeniconi, Hamdi Kavak, Jim Jones, Andrew T. Crooks
2022 J jnl
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples.
IEEE Trans. Knowl. Data Eng.
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang
2022 A* conf
Few-shot Partial Multi-label Learning with Data Augmentation.
ICDM
Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi
2022 J jnl
Flexible Cross-Modal Hashing.
IEEE Trans. Neural Networks Learn. Syst.
Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2022 J jnl
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders.
CoRR
Priya Mani, Carlotta Domeniconi
2022 A conf
Hypergraph Simultaneous Generators.
AISTATS
Bahman Pedrood, Carlotta Domeniconi, Kathryn B. Laskey
2022 J jnl
Incentive-boosted Federated Crowdsourcing.
CoRR
Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang
2022 J jnl
Isoform function prediction by Gene Ontology embedding.
Bioinform.
Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, Maozu Guo
2022 J jnl
Long-tail Cross Modal Hashing.
CoRR
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
2022 — conf
Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents.
SBP-BRiMS
Abhisekh Rana, Hamdi Kavak, Andrew T. Crooks, Sean Luke, Carlotta Domeniconi, Jim Jones
2022 J jnl
Multiview Multi-Instance Multilabel Active Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2022 J jnl
Self-paced annotations of crowd workers.
Knowl. Inf. Syst.
Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui
2022 J jnl
Weakly Supervised Cross-Modal Hashing.
IEEE Trans. Big Data
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2021 J jnl
Active Multilabel Crowd Consensus.
IEEE Trans. Neural Networks Learn. Syst.
Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
Co-Clustering Ensembles Based on Multiple Relevance Measures.
IEEE Trans. Knowl. Data Eng.
Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
2021 J jnl
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways.
Briefings Bioinform.
Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
2021 J jnl
Cross-modal Zero-shot Hashing by Label Attributes Embedding.
CoRR
Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks.
ACM Trans. Knowl. Discov. Data
Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2021 J jnl
Crowdsourcing with Meta-Workers: A New Way to Save the Budget.
CoRR
Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
2021 A* conf
Crowdsourcing with Self-paced Workers.
ICDM
Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui
2021 J jnl
DMIL-IsoFun: predicting isoform function using deep multi-instance learning.
Bioinform.
Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo
2021 A conf
Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning.
SDM
Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
Discovering Multiple Co-Clusterings With Matrix Factorization.
IEEE Trans. Cybern.
Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang
2021 A* conf
Few-Shot Partial Multi-Label Learning.
ICDM
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui
2021 A* conf
Few-Shot Partial-Label Learning.
IJCAI
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
2021 J jnl
Few-Shot Partial-Label Learning.
CoRR
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
2021 J jnl
Group-Node Attention for Community Evolution Prediction.
CoRR
Matt Revelle, Carlotta Domeniconi, Ben U. Gelman
2021 B conf
Group-node attention for community evolution prediction.
ASONAM
Matt Revelle, Carlotta Domeniconi, Ben U. Gelman
2021 A* conf
Incomplete Multi-view Multi-label Active Learning.
ICDM
Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi
2021 J jnl
Individuality- and Commonality-Based Multiview Multilabel Learning.
IEEE Trans. Cybern.
Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
Meta Cross-Modal Hashing on Long-Tailed Data.
CoRR
Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
MetaMIML: Meta Multi-Instance Multi-Label Learning.
CoRR
Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo
2021 J jnl
Multiple clusterings of heterogeneous information networks.
Mach. Learn.
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021 J jnl
Open-Set Crowdsourcing using Multiple-Source Transfer Learning.
CoRR
Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
2021 — conf
Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection.
PAKDD (1)
Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo
2021 A conf
Unsupervised Selective Manifold Regularized Matrix Factorization.
SDM
Priya Mani, Carlotta Domeniconi, Igor Griva
2020 A conf
Attention-Aware Answers of the Crowd.
SDM
Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Attributed heterogeneous network fusion via collaborative matrix tri-factorization.
Inf. Fusion
Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang
2020 A* conf
Crowdsourcing with Multiple-Source Knowledge Transfer.
IJCAI
Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
2020 A* conf
Deep Incomplete Multi-View Multiple Clusterings.
ICDM
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Deep Incomplete Multi-View Multiple Clusterings.
CoRR
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Differentiating isoform functions with collaborative matrix factorization.
Bioinform.
Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu
2020 A* conf
Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization.
ICDM
Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi
2020 J jnl
Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization.
CoRR
Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi
2020 B conf
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates.
IJCNN
Raj Patel, Carlotta Domeniconi
2020 J jnl
Hub-based subspace clustering.
Neurocomputing
Priya Mani, Carlotta Domeniconi
2020 J jnl
Introduction to the special issue of the ECML PKDD 2020 journal track.
Data Min. Knowl. Discov.
Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier
2020 J jnl
Introduction to the special issue of the ECML PKDD 2020 journal track.
Mach. Learn.
Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier
2020 J jnl
Isoform function prediction based on bi-random walks on a heterogeneous network.
Bioinform.
Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang
2020 A* conf
Multi-View Multiple Clusterings Using Deep Matrix Factorization.
AAAI
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Multi-label crowd consensus via joint matrix factorization.
Knowl. Inf. Syst.
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2020 J jnl
Multi-label zero-shot learning with graph convolutional networks.
Neural Networks
Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang
2020 A* conf
Multi-typed Objects Multi-view Multi-instance Multi-label Learning.
ICDM
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 J jnl
Multi-typed Objects Multi-view Multi-instance Multi-label Learning.
CoRR
Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 A* conf
Partial Multi-label Learning using Label Compression.
ICDM
Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2020 — ch.
Temporal Artifacts from Edge Accumulation in Social Interaction Networks.
Neural Advances in Processing Nonlinear Dynamic Signals
Matt Revelle, Carlotta Domeniconi, Aditya Johri
2020 J jnl
Unsupervised Selective Manifold Regularized Matrix Factorization.
CoRR
Priya Mani, Carlotta Domeniconi, Igor Griva
2020 A* conf
Weakly-Supervised Multi-view Multi-instance Multi-label Learning.
IJCAI
Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Active Multi-Label Crowd Consensus.
CoRR
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang
2019 A* conf
ActiveHNE: Active Heterogeneous Network Embedding.
IJCAI
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
2019 J jnl
ActiveHNE: Active Heterogeneous Network Embedding.
CoRR
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
2019 J jnl
Attention-Aware Answers of the Crowd.
CoRR
Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 A* conf
Cross-Modal Zero-Shot Hashing.
ICDM
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Cross-modal Zero-shot Hashing.
CoRR
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019 — conf
Decoy Ensemble Reduction in Template-free Protein Structure Prediction.
BCB
Ahmed Bin Zaman, Parastoo Kamranfar, Carlotta Domeniconi, Amarda Shehu
2019 A conf
Discovering Multiple Co-Clusterings in Subspaces.
SDM
Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo
2019 — ch.
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications.
Innovations in Big Data Mining and Embedded Knowledge
Uday Kamath, Carlotta Domeniconi, Amarda Shehu, Kenneth A. De Jong
2019 J jnl
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates.
CoRR
Raj Patel, Carlotta Domeniconi
2019 Misc conf
Graph-based selective outlier ensembles.
SAC
Hamed Sarvari, Carlotta Domeniconi, Giovanni Stilo
2019 A* conf
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization.
AAAI
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
2019 J jnl
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization.
CoRR
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
2019 A* conf
Multi-View Multiple Clustering.
IJCAI
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Multi-View Multiple Clustering.
CoRR
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2019 J jnl
Multi-View Multiple Clusterings using Deep Matrix Factorization.
CoRR
Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2019 A* conf
Multiple Independent Subspace Clusterings.
AAAI
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
2019 J jnl
Multiple Independent Subspace Clusterings.
CoRR
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
2019 J jnl
Parallel boosted clustering.
Neurocomputing
Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu
2019 A* conf
Ranking-Based Deep Cross-Modal Hashing.
AAAI
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
2019 J jnl
Ranking-based Deep Cross-modal Hashing.
CoRR
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
2019 — conf
Selective Matrix Factorization for Multi-relational Data Fusion.
DASFAA (1)
Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo
2019 J jnl
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection.
CoRR
Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo
2019 J jnl
Weakly-paired Cross-Modal Hashing.
CoRR
Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
2018 J jnl
A New Framework for Centrality Measures in Multiplex Networks.
CoRR
Carlo Spatocco, Alessandro D'Andrea, Carlotta Domeniconi, Giovanni Stilo
2018 A* conf
Cost Effective Multi-label Active Learning via Querying Subexamples.
ICDM
Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang
2018 A* conf
Feature-Induced Partial Multi-label Learning.
ICDM
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu
2018 J jnl
Graph-based Selective Outlier Ensembles.
CoRR
Hamed Sarvari, Carlotta Domeniconi, Giovanni Stilo
2018 A* conf
Incomplete Multi-View Weak-Label Learning.
IJCAI
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 — ch.
Learning Distance Measures.
Encyclopedia of Database Systems (2nd ed.)
Carlotta Domeniconi
2018 B conf
Matrix Factorization for Identifying Noisy Labels of Multi-label Instances.
PRICAI
Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 J jnl
Matrix factorization-based data fusion for the prediction of lncRNA-disease associations.
Bioinform.
Guangyuan Fu, Jun Wang, Carlotta Domeniconi, Guoxian Yu
2018 A* conf
Multi-Label Co-Training.
IJCAI
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 A* conf
Multi-label Answer Aggregation Based on Joint Matrix Factorization.
ICDM
Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo
2018 A conf
Multi-view Weak-label Learning based on Matrix Completion.
SDM
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018 A* conf
Multiple Co-clusterings.
ICDM
Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang
2018 — ch.
Relational Network Classification and Its Applications in Recommender Systems.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2018 J jnl
Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm.
Evol. Comput.
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2018 — conf
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations.
BIBM
Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi
2017 J jnl
Network-based Anomaly Detection for Insider Trading.
CoRR
Adarsh Kulkarni, Priya Mani, Carlotta Domeniconi
2017 — conf
The Projective Clustering Ensemble Problem for Advanced Data Clustering.
SEBD
Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli
2017 J jnl
Weighted-object ensemble clustering: methods and analysis.
Knowl. Inf. Syst.
Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu
2016 B conf
Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs.
EDM
Ben U. Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni, Aditya Johri
2016 — ed.
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain.
ICDM Workshops
Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu
2016 J jnl
MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report].
SIGKDD Explor.
Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek
2016 B conf
Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community.
L@S
Ben U. Gelman, Chris Beckley, Aditya Johri, Carlotta Domeniconi, Seungwon Yang
2016 — conf
Persistent Roles in Online Social Networks.
ECML/PKDD (2)
Matt Revelle, Carlotta Domeniconi, Aditya Johri
2015 — conf
Evidence of Temporal Artifacts in Social Networks.
MUSE@PKDD/ECML
Matt Revelle, Carlotta Domeniconi, Aditya Johri
2015 — conf
Finding Community Topics and Membership in Graphs.
ECML/PKDD (2)
Matt Revelle, Carlotta Domeniconi, Mack Sweeney, Aditya Johri
2015 J jnl
Integrating multiple networks for protein function prediction.
BMC Syst. Biol.
Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Maozu Guo
2015 J jnl
Metacluster-based Projective Clustering Ensembles.
Mach. Learn.
Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli
2015 — conf
Multi2Rank: Multimedia Multiview Ranking.
BigMM
David Etter, Carlotta Domeniconi
2015 A conf
Predicting Preference Tags to Improve Item Recommendation.
SDM
Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2015 J jnl
Predicting Protein Function Using Multiple Kernels.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang
2015 J jnl
Predicting protein function via downward random walks on a gene ontology.
BMC Bioinform.
Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Jiming Liu
2015 J jnl
Predicting protein functions using incomplete hierarchical labels.
BMC Bioinform.
Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi
2015 — conf
SemRank: Semantic rank learning for multimedia retrieval.
ICSC
David Etter, Carlotta Domeniconi
2015 J jnl
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm.
CoRR
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2015 B conf
Uncovering Trajectories of Informal Learning in Large Online Communities of Creators.
L@S
Seungwon Yang, Carlotta Domeniconi, Matt Revelle, Mack Sweeney, Ben U. Gelman, Chris Beckley, Aditya Johri
2014 A conf
A Weighted Adaptive Mean Shift Clustering Algorithm.
SDM
Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu
2014 — conf
Boosted Mean Shift Clustering.
ECML/PKDD (2)
Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang
2014 J jnl
Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification".
IEEE ACM Trans. Comput. Biol. Bioinform.
Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu
2014 — conf
FLIP: Active Learning for Relational Network Classification.
ECML/PKDD (3)
Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2014 J jnl
Protein Function Prediction withIncomplete Annotations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu
2014 B conf
Semantic analysis of documents workshop (SemADoc): extended abstract.
ACM Symposium on Document Engineering
Evangelos E. Milios, Carlotta Domeniconi
2014 B conf
Semi-Supervised Rank Learning for Multimedia Known-Item Search.
ICMR
David Etter, Carlotta Domeniconi
2013 A conf
An analysis of a spatial EA parallel boosting algorithm.
GECCO
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2013 — ed.
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
MultiClust@KDD
Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek
2013 J jnl
Projective clustering ensembles.
Data Min. Knowl. Discov.
Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli
2013 — conf
Protein Function Prediction Using Dependence Maximization.
ECML/PKDD (1)
Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang
2013 J jnl
Protein Function Prediction Using Multilabel Ensemble Classification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu
2013 A* conf
Protein Function Prediction by Integrating Multiple Kernels.
IJCAI
Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang
2013 — conf
Sparsification and Sampling of Networks for Collective Classification.
SBP
Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2013 A* conf
Weighted-Object Ensemble Clustering.
ICDM
Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu
2012 — conf
Feature Enriched Nonparametric Bayesian Co-clustering.
PAKDD (1)
Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey
2012 — conf
Multi-label Collective Classification Using Adaptive Neighborhoods.
ICMLA (1)
Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
2012 — conf
Multiobjective optimization of co-clustering ensembles.
GECCO (Companion)
Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli
2012 J jnl
Neural Networks and Learning Systems Come Together.
IEEE Trans. Neural Networks Learn. Syst.
Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda, Xuelong Li, Patricia Melin, Vadrevu Sree Hari Rao, Björn W. Schuller, Yi Shen, Huajin Tang, Cong Wang, Jian Yang, Derong Zhao, Derong Liu
2012 — conf
Protein function prediction using weak-label learning.
BCB
Guo-Xian Yu, Guoji Zhang, Huzefa Rangwala, Carlotta Domeniconi, Zhiwen Yu
2012 J jnl
Semi-supervised classification based on random subspace dimensionality reduction.
Pattern Recognit.
Guo-Xian Yu, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu, Jane You
2012 J jnl
Semi-supervised ensemble classification in subspaces.
Appl. Soft Comput.
Guo-Xian Yu, Guoji Zhang, Zhiwen Yu, Carlotta Domeniconi, Jane You, Guoqiang Han
2012 — conf
Subspace Clustering Ensembles.
MultiClust@SDM
Carlotta Domeniconi
2012 A* conf
Transductive multi-label ensemble classification for protein function prediction.
KDD
Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu
2011 — conf
Advancing data clustering via projective clustering ensembles.
SIGMOD Conference
Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli
2011 J jnl
Composite kernels for semi-supervised clustering.
Knowl. Inf. Syst.
Carlotta Domeniconi, Jing Peng, Bojun Yan
2011 — conf
Detection of Communities and Bridges in Weighted Networks.
MLDM
Tanwistha Saha, Carlotta Domeniconi, Huzefa Rangwala
2011 — conf
Latent Topic Models of Surface Syntactic Information.
AI*IA
Roberto Basili, Cristina Giannone, Danilo Croce, Carlotta Domeniconi
2011 A conf
Nonparametric Bayesian Co-clustering Ensembles.
SDM
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, Michael I. Jordan
2010 A* conf
Enhancing Single-Objective Projective Clustering Ensembles.
ICDM
Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli
2010 — conf
Nonparametric Bayesian Clustering Ensembles.
ECML/PKDD (3)
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey
2009 — ch.
Clustering Ensembles with Active Constraints.
Applications of Supervised and Unsupervised Ensemble Methods
Muna Al-Razgan, Carlotta Domeniconi
2009 — conf
Latent Dirichlet Bayesian Co-Clustering.
ECML/PKDD (2)
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
2009 — ch.
Learning Distance Measures.
Encyclopedia of Database Systems
Carlotta Domeniconi
2009 — ch.
Locally Adaptive Techniques for Pattern Classification.
Encyclopedia of Data Warehousing and Mining
Carlotta Domeniconi, Dimitrios Gunopulos
2009 A* conf
Projective Clustering Ensembles.
ICDM
Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli
2009 — ch.
Techniques for Weighted Clustering Ensembles.
Encyclopedia of Data Warehousing and Mining
Carlotta Domeniconi
2009 — conf
Topic Significance Ranking of LDA Generative Models.
ECML/PKDD (1)
Loulwa S. Al-Sumait, Daniel Barbará, James Gentle, Carlotta Domeniconi
2009 — conf
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge.
ICDM Workshops
Pu Wang, Carlotta Domeniconi
2009 J jnl
Weighted cluster ensembles: Methods and analysis.
ACM Trans. Knowl. Discov. Data
Carlotta Domeniconi, Muna Al-Razgan
2008 J jnl
A clustering framework based on subjective and objective validity criteria.
ACM Trans. Knowl. Discov. Data
Maria Halkidi, Dimitrios Gunopulos, Michalis Vazirgiannis, Nitin Kumar, Carlotta Domeniconi
2008 A* conf
Building semantic kernels for text classification using wikipedia.
KDD
Pu Wang, Carlotta Domeniconi
2008 J jnl
Cross-domain Text Classification using Wikipedia.
IEEE Intell. Informatics Bull.
Pu Wang, Carlotta Domeniconi, Jian Hu
2008 — conf
Detecting Suspicious Behavior in Surveillance Images.
ICDM Workshops
Daniel Barbará, Carlotta Domeniconi, Zoran Duric, Maurizio Filippone, Richard Mansfield, Edgard Lawson
2008 A* conf
On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking.
ICDM
Loulwa S. Al-Sumait, Daniel Barbará, Carlotta Domeniconi
2008 A* conf
Using Wikipedia for Co-clustering Based Cross-Domain Text Classification.
ICDM
Pu Wang, Carlotta Domeniconi, Jian Hu
2007 J jnl
Locally adaptive metrics for clustering high dimensional data.
Data Min. Knowl. Discov.
Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma, Bojun Yan, Muna Al-Razgan, Dimitris Papadopoulos
2006 — conf
An Adaptive Kernel Method for Semi-supervised Clustering.
ECML
Bojun Yan, Carlotta Domeniconi
2006 A* conf
Detecting outliers using transduction and statistical testing.
KDD
Daniel Barbará, Carlotta Domeniconi, James P. Rogers
2006 B conf
Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering.
SMC
Bojun Yan, Carlotta Domeniconi
2006 C conf
Regression Databases: Probabilistic Querying Using Sparse Learning Sets.
ICMLA
Alexander Brodsky, Carlotta Domeniconi, David Etter
2006 — conf
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data.
ECML
Bojun Yan, Carlotta Domeniconi
2006 A conf
Weighted Clustering Ensembles.
SDM
Muna Al-Razgan, Carlotta Domeniconi
2005 A* conf
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria.
ICDM
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, Carlotta Domeniconi
2005 A* conf
Categorization and Keyword Identification of Unlabeled Documents.
ICDM
Ning Kang, Carlotta Domeniconi, Daniel Barbará
2005 J jnl
Kernel pooled local subspaces for classification.
IEEE Trans. Syst. Man Cybern. Part B
Peng Zhang, Jing Peng, Carlotta Domeniconi
2005 J jnl
Large margin nearest neighbor classifiers.
IEEE Trans. Neural Networks
Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng
2005 A conf
On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers.
SDM
Carlotta Domeniconi, Bojun Yan
2005 J jnl
Selectivity estimators for multidimensional range queries over real attributes.
VLDB J.
Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, Carlotta Domeniconi
2004 J jnl
An Efficient Density-based Approach for Data Mining Tasks.
Knowl. Inf. Syst.
Carlotta Domeniconi, Dimitrios Gunopulos
2004 A conf
Classifying Documents Without Labels.
SDM
Daniel Barbará, Carlotta Domeniconi, Ning Kang
2004 — conf
Nearest Neighbor Ensemble.
ICPR (1)
Carlotta Domeniconi, Bojun Yan
2004 A conf
Subspace Clustering of High Dimensional Data.
SDM
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, Sheng Ma
2003 — conf
Clustering gene expression data in SQL using locally adaptive metrics.
DMKD
Dimitris Papadopoulos, Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma
2003 A* conf
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information.
ICDM
Peng Zhang, Jing Peng, Carlotta Domeniconi
2003 — conf
Kernel Pooled Local Subspaces for Classification.
CVPR Workshops
Peng Zhang, Jing Peng, Carlotta Domeniconi
2003 A* conf
Mining Relevant Text from Unlabelled Documents.
ICDM
Daniel Barbará, Carlotta Domeniconi, Ning Kang
2002 — conf
A Classification Approach for Prediction of Target Events in Temporal Sequences.
PKDD
Carlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma
2002 A conf
Efficient Local Flexible Nearest Neighbor Classification.
SDM
Carlotta Domeniconi, Dimitrios Gunopulos
2002 J jnl
Locally Adaptive Metric Nearest-Neighbor Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos
2002 A* conf
Non-linear dimensionality reduction techniques for classification and visualization.
KDD
Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas
2001 — conf
Adaptive Nearest Neighbor Classification Using Support Vector Machines.
NIPS
Carlotta Domeniconi, Dimitrios Gunopulos
2001 A* conf
An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets.
ICML
Carlotta Domeniconi, Dimitrios Gunopulos
2001 A* conf
Incremental Support Vector Machine Construction.
ICDM
Carlotta Domeniconi, Dimitrios Gunopulos
2000 A* conf
Adaptive Metric nearest Neighbor Classification.
CVPR
Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng
2000 — conf
An Adaptive Metric Machine for Pattern Classification.
NIPS
Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos
2000 — conf
Approximating Multi-Dimensional Aggregate Range Queries over Real Attributes.
SIGMOD Conference
Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, Carlotta Domeniconi
1998 Misc conf
Direct gray scale ridge reconstruction in fingerprint images.
ICASSP
Carlotta Domeniconi, Sibel Tari, Ping Liang