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ORCIDCarlotta 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]Carlo Spatocco, Alessandro D'Andrea, Carlotta Domeniconi, Giovanni Stilo:
A New Framework for Centrality Measures in Multiplex Networks. CoRR abs/1801.08026 (2018) - [i3]Hamed Sarvari, Carlotta Domeniconi, Giovanni Stilo:
Graph-based Selective Outlier Ensembles. CoRR abs/1804.06378 (2018) - 2017
- [j24]Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
Weighted-object ensemble clustering: methods and analysis. Knowl. Inf. Syst. 51(2): 661-689 (2017) - [c66]Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli:
The Projective Clustering Ensemble Problem for Advanced Data Clustering. SEBD 2017: 194 - [i2]Adarsh Kulkarni, Priya Mani, Carlotta Domeniconi:
Network-based Anomaly Detection for Insider Trading. CoRR abs/1702.05809 (2017) - 2016
- [j23]Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek:
MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]. SIGKDD Explor. 18(1): 35-38 (2016) - [c65]Ben U. Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni, Aditya Johri:
Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs. EDM 2016: 376-381 - [c64]Ben U. Gelman, Chris Beckley, Aditya Johri, Carlotta Domeniconi, Seungwon Yang:
Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community. L@S 2016: 21-30 - [c63]Matt Revelle, Carlotta Domeniconi, Aditya Johri:
Persistent Roles in Online Social Networks. ECML/PKDD (2) 2016: 47-62 - [e2]Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents] - 2015
- [j22]Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi:
Predicting protein functions using incomplete hierarchical labels. BMC Bioinform. 16: 1:1-1:12 (2015) - [j21]Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Jiming Liu:
Predicting protein function via downward random walks on a gene ontology. BMC Bioinform. 16: 271:1-271:13 (2015) - [j20]Guo-Xian Yu, Hailong Zhu, Carlotta Domeniconi, Maozu Guo:
Integrating multiple networks for protein function prediction. BMC Syst. Biol. 9(S-1): S3 (2015) - [j19]Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Metacluster-based Projective Clustering Ensembles. Mach. Learn. 98(1-2): 181-216 (2015) - [j18]Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang:
Predicting Protein Function Using Multiple Kernels. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 219-233 (2015) - [c62]David Etter, Carlotta Domeniconi:
Multi2Rank: Multimedia Multiview Ranking. BigMM 2015: 80-87 - [c61]Seungwon Yang, Carlotta Domeniconi, Matt Revelle, Mack Sweeney, Ben U. Gelman, Chris Beckley, Aditya Johri:
Uncovering Trajectories of Informal Learning in Large Online Communities of Creators. L@S 2015: 131-140 - [c60]Matt Revelle, Carlotta Domeniconi, Aditya Johri:
Evidence of Temporal Artifacts in Social Networks. MUSE@PKDD/ECML 2015: 35-42 - [c59]Matt Revelle, Carlotta Domeniconi, Mack Sweeney, Aditya Johri:
Finding Community Topics and Membership in Graphs. ECML/PKDD (2) 2015: 625-640 - [c58]Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
Predicting Preference Tags to Improve Item Recommendation. SDM 2015: 864-872 - [c57]David Etter, Carlotta Domeniconi:
SemRank: Semantic rank learning for multimedia retrieval. ICSC 2015: 57-64 - [i1]Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. CoRR abs/1508.01549 (2015) - 2014
- [j17]Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu:
Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification". IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 265 (2014) - [j16]Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu:
Protein Function Prediction withIncomplete Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 579-591 (2014) - [c56]Evangelos E. Milios, Carlotta Domeniconi:
Semantic analysis of documents workshop (SemADoc): extended abstract. ACM Symposium on Document Engineering 2014: 209-210 - [c55]David Etter, Carlotta Domeniconi:
Semi-Supervised Rank Learning for Multimedia Known-Item Search. ICMR 2014: 257 - [c54]Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
FLIP: Active Learning for Relational Network Classification. ECML/PKDD (3) 2014: 1-18 - [c53]Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang:
Boosted Mean Shift Clustering. ECML/PKDD (2) 2014: 646-661 - [c52]Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
A Weighted Adaptive Mean Shift Clustering Algorithm. SDM 2014: 794-802 - 2013
- [j15]Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Projective clustering ensembles. Data Min. Knowl. Discov. 26(3): 452-511 (2013) - [j14]Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu:
Protein Function Prediction Using Multilabel Ensemble Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 1045-1057 (2013) - [c51]Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
An analysis of a spatial EA parallel boosting algorithm. GECCO 2013: 1053-1060 - [c50]Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
Weighted-Object Ensemble Clustering. ICDM 2013: 627-636 - [c49]Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang:
Protein Function Prediction by Integrating Multiple Kernels. IJCAI 2013: 1869-1875 - [c48]Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang:
Protein Function Prediction Using Dependence Maximization. ECML/PKDD (1) 2013: 574-589 - [c47]Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
Sparsification and Sampling of Networks for Collective Classification. SBP 2013: 293-302 - [e1]Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek:
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 [contents] - 2012
- [j13]Guo-Xian Yu, Guoji Zhang, Zhiwen Yu, Carlotta Domeniconi, Jane You, Guoqiang Han:
Semi-supervised ensemble classification in subspaces. Appl. Soft Comput. 12(5): 1511-1522 (2012) - [j12]Guo-Xian Yu, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu, Jane You:
Semi-supervised classification based on random subspace dimensionality reduction. Pattern Recognit. 45(3): 1119-1135 (2012) - [j11]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:
Neural Networks and Learning Systems Come Together. IEEE Trans. Neural Networks Learn. Syst. 23(1): 1-6 (2012) - [c46]Guo-Xian Yu, Guoji Zhang, Huzefa Rangwala, Carlotta Domeniconi, Zhiwen Yu:
Protein function prediction using weak-label learning. BCB 2012: 202-209 - [c45]Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli:
Multiobjective optimization of co-clustering ensembles. GECCO (Companion) 2012: 1495-1496 - [c44]Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
Multi-label Collective Classification Using Adaptive Neighborhoods. ICMLA (1) 2012: 427-432 - [c43]Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu:
Transductive multi-label ensemble classification for protein function prediction. KDD 2012: 1077-1085 - [c42]Carlotta Domeniconi:
Subspace Clustering Ensembles. MultiClust@SDM 2012: 1-2 - [c41]Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey:
Feature Enriched Nonparametric Bayesian Co-clustering. PAKDD (1) 2012: 517-529 - 2011
- [j10]Carlotta Domeniconi, Jing Peng, Bojun Yan:
Composite kernels for semi-supervised clustering. Knowl. Inf. Syst. 28(1): 99-116 (2011) - [c40]Roberto Basili, Cristina Giannone, Danilo Croce, Carlotta Domeniconi:
Latent Topic Models of Surface Syntactic Information. AI*IA 2011: 225-237 - [c39]Tanwistha Saha, Carlotta Domeniconi, Huzefa Rangwala:
Detection of Communities and Bridges in Weighted Networks. MLDM 2011: 584-598 - [c38]Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, Michael I. Jordan:
Nonparametric Bayesian Co-clustering Ensembles. SDM 2011: 331-342 - [c37]Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Advancing data clustering via projective clustering ensembles. SIGMOD Conference 2011: 733-744 - 2010
- [c36]Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Enhancing Single-Objective Projective Clustering Ensembles. ICDM 2010: 833-838 - [c35]Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey:
Nonparametric Bayesian Clustering Ensembles. ECML/PKDD (3) 2010: 435-450
2000 – 2009
- 2009
- [j9]Carlotta Domeniconi, Muna Al-Razgan:
Weighted cluster ensembles: Methods and analysis. ACM Trans. Knowl. Discov. Data 2(4): 17:1-17:40 (2009) - [c34]Pu Wang, Carlotta Domeniconi:
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge. ICDM Workshops 2009: 435-440 - [c33]Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli:
Projective Clustering Ensembles. ICDM 2009: 794-799 - [c32]Loulwah AlSumait, Daniel Barbará, James Gentle, Carlotta Domeniconi:
Topic Significance Ranking of LDA Generative Models. ECML/PKDD (1) 2009: 67-82 - [c31]Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey:
Latent Dirichlet Bayesian Co-Clustering. ECML/PKDD (2) 2009: 522-537 - [p1]Muna Al-Razgan, Carlotta Domeniconi:
Clustering Ensembles with Active Constraints. Applications of Supervised and Unsupervised Ensemble Methods 2009: 175-189 - [r3]Carlotta Domeniconi, Dimitrios Gunopulos:
Locally Adaptive Techniques for Pattern Classification. Encyclopedia of Data Warehousing and Mining 2009: 1170-1175 - [r2]Carlotta Domeniconi:
Techniques for Weighted Clustering Ensembles. Encyclopedia of Data Warehousing and Mining 2009: 1916-1922 - [r1]Carlotta Domeniconi:
Learning Distance Measures. Encyclopedia of Database Systems 2009: 1601-1605 - 2008
- [j8]Pu Wang, Carlotta Domeniconi, Jian Hu:
Cross-domain Text Classification using Wikipedia. IEEE Intell. Informatics Bull. 9(1): 5-17 (2008) - [j7]Maria Halkidi, Dimitrios Gunopulos, Michalis Vazirgiannis, Nitin Kumar, Carlotta Domeniconi:
A clustering framework based on subjective and objective validity criteria. ACM Trans. Knowl. Discov. Data 1(4): 4:1-4:25 (2008) - [c30]Loulwah AlSumait, Daniel Barbará, Carlotta Domeniconi:
On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking. ICDM 2008: 3-12 - [c29]Daniel Barbará, Carlotta Domeniconi, Zoran Duric, Maurizio Filippone, Richard Mansfield, Edgard Lawson:
Detecting Suspicious Behavior in Surveillance Images. ICDM Workshops 2008: 891-900 - [c28]Pu Wang, Carlotta Domeniconi, Jian Hu:
Using Wikipedia for Co-clustering Based Cross-Domain Text Classification. ICDM 2008: 1085-1090 - [c27]Pu Wang, Carlotta Domeniconi:
Building semantic kernels for text classification using wikipedia. KDD 2008: 713-721 - 2007
- [j6]Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma, Bojun Yan, Muna Al-Razgan, Dimitris Papadopoulos:
Locally adaptive metrics for clustering high dimensional data. Data Min. Knowl. Discov. 14(1): 63-97 (2007) - 2006
- [c26]Bojun Yan, Carlotta Domeniconi:
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data. ECML 2006: 509-520 - [c25]Bojun Yan, Carlotta Domeniconi:
An Adaptive Kernel Method for Semi-supervised Clustering. ECML 2006: 521-532 - [c24]Alexander Brodsky, Carlotta Domeniconi, David Etter:
Regression Databases: Probabilistic Querying Using Sparse Learning Sets. ICMLA 2006: 123-128 - [c23]Daniel Barbará, Carlotta Domeniconi, James P. Rogers:
Detecting outliers using transduction and statistical testing. KDD 2006: 55-64 - [c22]Muna Al-Razgan, Carlotta Domeniconi:
Weighted Clustering Ensembles. SDM 2006: 258-269 - [c21]Bojun Yan, Carlotta Domeniconi:
Exploration of Different Constraints and Query Methods with Kernel-based Semi-supervised Clustering. SMC 2006: 829-834 - 2005
- [j5]Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng:
Large margin nearest neighbor classifiers. IEEE Trans. Neural Networks 16(4): 899-909 (2005) - [j4]Peng Zhang, Jing Peng, Carlotta Domeniconi:
Kernel pooled local subspaces for classification. IEEE Trans. Syst. Man Cybern. Part B 35(3): 489-502 (2005) - [j3]Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, Carlotta Domeniconi:
Selectivity estimators for multidimensional range queries over real attributes. VLDB J. 14(2): 137-154 (2005) - [c20]Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, Carlotta Domeniconi:
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria. ICDM 2005: 637-640 - [c19]Ning Kang, Carlotta Domeniconi, Daniel Barbará:
Categorization and Keyword Identification of Unlabeled Documents. ICDM 2005: 677-680 - [c18]Carlotta Domeniconi, Bojun Yan:
On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers. SDM 2005: 217-226 - 2004
- [j2]Carlotta Domeniconi, Dimitrios Gunopulos:
An Efficient Density-based Approach for Data Mining Tasks. Knowl. Inf. Syst. 6(6): 750-770 (2004) - [c17]Carlotta Domeniconi, Bojun Yan:
Nearest Neighbor Ensemble. ICPR (1) 2004: 228-231 - [c16]Daniel Barbará, Carlotta Domeniconi, Ning Kang:
Classifying Documents Without Labels. SDM 2004: 502-506 - [c15]Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, Sheng Ma:
Subspace Clustering of High Dimensional Data. SDM 2004: 517-521 - 2003
- [c14]Peng Zhang, Jing Peng, Carlotta Domeniconi:
Kernel Pooled Local Subspaces for Classification. CVPR Workshops 2003: 63 - [c13]Dimitris Papadopoulos, Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma:
Clustering gene expression data in SQL using locally adaptive metrics. DMKD 2003: 35-41 - [c12]Daniel Barbará, Carlotta Domeniconi, Ning Kang:
Mining Relevant Text from Unlabelled Documents. ICDM 2003: 489-492 - [c11]Peng Zhang, Jing Peng, Carlotta Domeniconi:
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. ICDM 2003: 701-704 - 2002
- [j1]Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos:
Locally Adaptive Metric Nearest-Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1281-1285 (2002) - [c10]Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas:
Non-linear dimensionality reduction techniques for classification and visualization. KDD 2002: 645-651 - [c9]Carlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma:
A Classification Approach for Prediction of Target Events in Temporal Sequences. PKDD 2002: 125-137 - [c8]Carlotta Domeniconi, Dimitrios Gunopulos:
Efficient Local Flexible Nearest Neighbor Classification. SDM 2002: 353-369 - 2001
- [c7]Carlotta Domeniconi, Dimitrios Gunopulos:
Incremental Support Vector Machine Construction. ICDM 2001: 589-592 - [c6]Carlotta Domeniconi, Dimitrios Gunopulos:
An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets. ICML 2001: 98-105 - [c5]Carlotta Domeniconi, Dimitrios Gunopulos:
Adaptive Nearest Neighbor Classification Using Support Vector Machines. NIPS 2001: 665-672 - 2000
- [c4]Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng:
Adaptive Metric nearest Neighbor Classification. CVPR 2000: 1517-1522 - [c3]Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos:
An Adaptive Metric Machine for Pattern Classification. NIPS 2000: 458-464 - [c2]Dimitrios Gunopulos, George Kollios, Vassilis J. Tsotras, Carlotta Domeniconi:
Approximating Multi-Dimensional Aggregate Range Queries over Real Attributes. SIGMOD Conference 2000: 463-474
1990 – 1999
- 1998
- [c1]Carlotta Domeniconi, Sibel Tari, Ping Liang:
Direct gray scale ridge reconstruction in fingerprint images. ICASSP 1998: 2941-2944
Coauthor Index
[j59] [j57] [j55] [j54] [c112] [c111] [j53] [j51] [j50] [c109] [c108] [i31] [j48] [j47] [j46] [j45] [j44] [i29] [i28] [j43] [j41] [j40] [j39] [j38] [j37] [j36] [c101] [i21] [j35] [j34] [j31] [j30] [c94] [c93] [c92] [c90] [c89] [c88] [c86] [i20] [i19] [c85] [c84] [c83] [c81] [c80] [c79] [c78] [c76] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i7] [i6] [i5] [j26] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67]
Guoxian Yu
aka: Guo-Xian Yu
aka: Guo-Xian Yu
[j59] [j58] [j57] [j56] [j55] [j54] [c112] [c111] [j53] [j52] [j51] [j50] [c109] [c108] [i31] [j49] [j48] [j47] [j46] [j45] [j44] [c104] [i29] [i28] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [c101] [c100] [c99] [c98] [c96] [i27] [i25] [i24] [i23] [i22] [i21] [j35] [j34] [j31] [j30] [j28] [c94] [c93] [c92] [c90] [c89] [c88] [c86] [i20] [i19] [c85] [c84] [c83] [c81] [c80] [c79] [c78] [c76] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i7] [i6] [i5] [j26] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [j24] [j22] [j21] [j20] [j18] [j17] [j16] [c52] [j14] [c50] [c49] [c48] [j13] [j12] [c46] [c43]
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