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Carlotta Domeniconi
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- affiliation: George Mason University, Fairfax VA, USA
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2020 – today
- 2024
- [j59]Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. 52: 100621 (2024) - [j58]Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot partial multi-label learning with synthetic features network. Knowl. Inf. Syst. 66(2): 1167-1203 (2024) - [j57]Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo:
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54(1): 486-495 (2024) - [j56]Xiangping Kang, Guoxian Yu, Lanju Kong, Carlotta Domeniconi, Xiangliang Zhang, Qingzhong Li:
FedTA: Federated Worthy Task Assignment for Crowd Workers. IEEE Trans. Dependable Secur. Comput. 21(4): 4098-4109 (2024) - [j55]Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi:
Causality-Based Fair Multiple Decision by Response Functions. ACM Trans. Knowl. Discov. Data 18(3): 61:1-61:23 (2024) - [j54]Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui:
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2534-2544 (2024) - [c112]Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang:
Federated Causality Learning with Explainable Adaptive Optimization. AAAI 2024: 16308-16315 - [c111]Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi:
Semi-Asynchronous Online Federated Crowdsourcing. ICDE 2024: 4180-4193 - [c110]Raj Patel, Carlotta Domeniconi:
Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings. NAACL-HLT (Findings) 2024: 1383-1389 - [i32]Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala:
DispaRisk: Assessing and Interpreting Disparity Risks in Datasets. CoRR abs/2405.12372 (2024) - 2023
- [j53]Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo:
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. Inf. Fusion 94: 272-283 (2023) - [j52]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui:
Few-shot partial multi-label learning via prototype rectification. Knowl. Inf. Syst. 65(4): 1851-1880 (2023) - [j51]Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang:
A Diversified Attention Model for Interpretable Multiple Clusterings. IEEE Trans. Knowl. Data Eng. 35(9): 8852-8864 (2023) - [j50]Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo:
Directed Acyclic Graph Learning on Attributed Heterogeneous Network. IEEE Trans. Knowl. Data Eng. 35(10): 10845-10856 (2023) - [c109]Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang:
Incentive-Boosted Federated Crowdsourcing. AAAI 2023: 6021-6029 - [c108]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-Tail Cross Modal Hashing. AAAI 2023: 7642-7650 - [c107]Raj Patel, Carlotta Domeniconi:
Enhancing Out-of-Vocabulary Estimation with Subword Attention. ACL (Findings) 2023: 3592-3601 - [c106]Raj Patel, Abhisekh Rana, Sean Luke, Carlotta Domeniconi, Hamdi Kavak, Jim Jones, Andrew T. Crooks:
Simulation and Optimization Techniques for the Mitigation of Disruptions to Supply Chains. ANNSIM 2023: 134-145 - [i31]Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang:
Federated Causality Learning with Explainable Adaptive Optimization. CoRR abs/2312.05540 (2023) - 2022
- [j49]Sichao Qiu, Guoxian Yu, Xudong Lu, Carlotta Domeniconi, Maozu Guo:
Isoform function prediction by Gene Ontology embedding. Bioinform. 38(19): 4581-4588 (2022) - [j48]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui:
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64(12): 3235-3263 (2022) - [j47]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Weakly Supervised Cross-Modal Hashing. IEEE Trans. Big Data 8(2): 552-563 (2022) - [j46]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang:
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. IEEE Trans. Knowl. Data Eng. 34(5): 2091-2105 (2022) - [j45]Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Flexible Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 33(1): 304-314 (2022) - [j44]Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiview Multi-Instance Multilabel Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4311-4321 (2022) - [c105]Bahman Pedrood, Carlotta Domeniconi, Kathryn B. Laskey:
Hypergraph Simultaneous Generators. AISTATS 2022: 11118-11130 - [c104]Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot Partial Multi-label Learning with Data Augmentation. ICDM 2022: 478-487 - [c103]Abhisekh Rana, Hamdi Kavak, Andrew T. Crooks, Sean Luke, Carlotta Domeniconi, Jim Jones:
Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents. SBP-BRiMS 2022: 13-23 - [i30]Priya Mani, Carlotta Domeniconi:
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders. CoRR abs/2211.10469 (2022) - [i29]Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang:
Incentive-boosted Federated Crowdsourcing. CoRR abs/2211.14439 (2022) - [i28]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-tail Cross Modal Hashing. CoRR abs/2211.15162 (2022) - 2021
- [j43]Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Briefings Bioinform. 22(2): 1984-1999 (2021) - [j42]Guoxian Yu, Guangjie Zhou, Xiangliang Zhang, Carlotta Domeniconi, Maozu Guo:
DMIL-IsoFun: predicting isoform function using deep multi-instance learning. Bioinform. 37(24): 4818-4825 (2021) - [j41]Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings of heterogeneous information networks. Mach. Learn. 110(6): 1505-1526 (2021) - [j40]Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51(3): 1716-1727 (2021) - [j39]Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang:
Discovering Multiple Co-Clusterings With Matrix Factorization. IEEE Trans. Cybern. 51(7): 3576-3587 (2021) - [j38]Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Trans. Knowl. Discov. Data 15(1): 12:1-12:24 (2021) - [j37]Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Co-Clustering Ensembles Based on Multiple Relevance Measures. IEEE Trans. Knowl. Data Eng. 33(4): 1389-1400 (2021) - [j36]Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Active Multilabel Crowd Consensus. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1448-1459 (2021) - [c102]Matt Revelle, Carlotta Domeniconi, Ben U. Gelman:
Group-node attention for community evolution prediction. ASONAM 2021: 176-183 - [c101]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:
Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289 - [c100]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:
Few-Shot Partial Multi-Label Learning. ICDM 2021: 926-935 - [c99]Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi:
Incomplete Multi-view Multi-label Active Learning. ICDM 2021: 1294-1299 - [c98]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. IJCAI 2021: 3448-3454 - [c97]Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo:
Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. PAKDD (1) 2021: 91-103 - [c96]Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. SDM 2021: 486-494 - [c95]Priya Mani, Carlotta Domeniconi, Igor Griva:
Unsupervised Selective Manifold Regularized Matrix Factorization. SDM 2021: 657-665 - [i27]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. CoRR abs/2106.00984 (2021) - [i26]Matt Revelle, Carlotta Domeniconi, Ben U. Gelman:
Group-Node Attention for Community Evolution Prediction. CoRR abs/2107.04522 (2021) - [i25]Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Crowdsourcing with Meta-Workers: A New Way to Save the Budget. CoRR abs/2111.04068 (2021) - [i24]Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Open-Set Crowdsourcing using Multiple-Source Transfer Learning. CoRR abs/2111.04073 (2021) - [i23]Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing by Label Attributes Embedding. CoRR abs/2111.04080 (2021) - [i22]Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Meta Cross-Modal Hashing on Long-Tailed Data. CoRR abs/2111.04086 (2021) - [i21]Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo:
MetaMIML: Meta Multi-Instance Multi-Label Learning. CoRR abs/2111.04112 (2021) - 2020
- [j35]Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang:
Isoform function prediction based on bi-random walks on a heterogeneous network. Bioinform. 36(1): 303-310 (2020) - [j34]Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Differentiating isoform functions with collaborative matrix factorization. Bioinform. 36(6): 1864-1871 (2020) - [j33]Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier:
Introduction to the special issue of the ECML PKDD 2020 journal track. Data Min. Knowl. Discov. 34(5): 1235-1236 (2020) - [j32]Priya Mani, Carlotta Domeniconi:
Hub-based subspace clustering. Neurocomputing 413: 193-209 (2020) - [j31]Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion 63: 153-165 (2020) - [j30]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label crowd consensus via joint matrix factorization. Knowl. Inf. Syst. 62(4): 1341-1369 (2020) - [j29]Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier:
Introduction to the special issue of the ECML PKDD 2020 journal track. Mach. Learn. 109(9-10): 1697-1698 (2020) - [j28]Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang:
Multi-label zero-shot learning with graph convolutional networks. Neural Networks 132: 333-341 (2020) - [c94]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings Using Deep Matrix Factorization. AAAI 2020: 6348-6355 - [c93]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. ICDM 2020: 651-660 - [c92]Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Partial Multi-label Learning using Label Compression. ICDM 2020: 761-770 - [c91]Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi:
Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization. ICDM 2020: 1286-1291 - [c90]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. ICDM 2020: 1370-1375 - [c89]Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Crowdsourcing with Multiple-Source Knowledge Transfer. IJCAI 2020: 2908-2914 - [c88]Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-Supervised Multi-view Multi-instance Multi-label Learning. IJCAI 2020: 3124-3130 - [c87]Raj Patel, Carlotta Domeniconi:
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. IJCNN 2020: 1-8 - [c86]Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. SDM 2020: 451-459 - [p3]Matt Revelle, Carlotta Domeniconi, Aditya Johri:
Temporal Artifacts from Edge Accumulation in Social Interaction Networks. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 11-21 - [d1]Ahmed Bin Zaman, Parastoo Kamranfar, Carlotta Domeniconi, Amarda Shehu:
Protein Tertiary Structures Zaman_Molecules20. IEEE DataPort, 2020 - [i20]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. CoRR abs/2010.02024 (2020) - [i19]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. CoRR abs/2010.02539 (2020) - [i18]Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi:
Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization. CoRR abs/2010.04010 (2020) - [i17]Priya Mani, Carlotta Domeniconi, Igor Griva:
Unsupervised Selective Manifold Regularized Matrix Factorization. CoRR abs/2010.09936 (2020)
2010 – 2019
- 2019
- [j27]Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu:
Parallel boosted clustering. Neurocomputing 351: 87-100 (2019) - [c85]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. AAAI 2019: 4400-4407 - [c84]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. AAAI 2019: 5353-5360 - [c83]Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo:
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. AAAI 2019: 5508-5515 - [c82]Ahmed Bin Zaman, Parastoo Kamranfar, Carlotta Domeniconi, Amarda Shehu:
Decoy Ensemble Reduction in Template-free Protein Structure Prediction. BCB 2019: 562-567 - [c81]Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo:
Selective Matrix Factorization for Multi-relational Data Fusion. DASFAA (1) 2019: 313-329 - [c80]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-Modal Zero-Shot Hashing. ICDM 2019: 449-458 - [c79]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. IJCAI 2019: 2123-2129 - [c78]Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. IJCAI 2019: 4121-4127 - [c77]Hamed Sarvari, Carlotta Domeniconi, Giovanni Stilo:
Graph-based selective outlier ensembles. SAC 2019: 518-525 - [c76]Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo:
Discovering Multiple Co-Clusterings in Subspaces. SDM 2019: 423-431 - [p2]Uday Kamath, Carlotta Domeniconi, Amarda Shehu, Kenneth A. De Jong:
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications. Innovations in Big Data Mining and Embedded Knowledge 2019: 35-59 - [i16]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. CoRR abs/1905.04191 (2019) - [i15]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-based Deep Cross-modal Hashing. CoRR abs/1905.04450 (2019) - [i14]Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. CoRR abs/1905.05053 (2019) - [i13]Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo:
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization. CoRR abs/1905.05061 (2019) - [i12]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. CoRR abs/1905.05659 (2019) - [i11]Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-paired Cross-Modal Hashing. CoRR abs/1905.12203 (2019) - [i10]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing. CoRR abs/1908.07388 (2019) - [i9]Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo:
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection. CoRR abs/1910.09754 (2019) - [i8]Raj Patel, Carlotta Domeniconi:
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. CoRR abs/1910.10491 (2019) - [i7]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang:
Active Multi-Label Crowd Consensus. CoRR abs/1911.02789 (2019) - [i6]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings using Deep Matrix Factorization. CoRR abs/1911.11396 (2019) - [i5]Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. CoRR abs/1912.11238 (2019) - 2018
- [j26]Guangyuan Fu, Jun Wang, Carlotta Domeniconi, Guoxian Yu:
Matrix factorization-based data fusion for the prediction of lncRNA-disease associations. Bioinform. 34(9): 1529-1537 (2018) - [j25]Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Evol. Comput. 26(1) (2018) - [c75]Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi:
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. BIBM 2018: 572-577 - [c74]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label Answer Aggregation Based on Joint Matrix Factorization. ICDM 2018: 517-526 - [c73]Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang:
Cost Effective Multi-label Active Learning via Querying Subexamples. ICDM 2018: 905-910 - [c72]Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang:
Multiple Co-clusterings. ICDM 2018: 1308-1313 - [c71]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu:
Feature-Induced Partial Multi-label Learning. ICDM 2018: 1398-1403 - [c70]Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Incomplete Multi-View Weak-Label Learning. IJCAI 2018: 2703-2709 - [c69]Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Multi-Label Co-Training. IJCAI 2018: 2882-2888 - [c68]Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Matrix Factorization for Identifying Noisy Labels of Multi-label Instances. PRICAI 2018: 508-517 - [c67]Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Multi-view Weak-label Learning based on Matrix Completion. SDM 2018: 450-458 - [r5]Carlotta Domeniconi:
Learning Distance Measures. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
Relational Network Classification and Its Applications in Recommender Systems. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i4]