| Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Galligher, T Eliassi-Rad AI magazine 29 (3), 93-93, 2008 | 5640 | 2008 |
| Explaining recommendations: Satisfaction vs. promotion M Bilgic, RJ Mooney Beyond personalization workshop, IUI 5, 153, 2005 | 490 | 2005 |
| Active learning for networked data M Bilgic Proceedings of the 27th international conference on machine learning (ICML-10), 2010 | 228 | 2010 |
| Combining collective classification and link prediction M Bilgic, GM Namata, L Getoor Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007 | 168 | 2007 |
| Active learning: an empirical study of common baselines ME Ramirez-Loaiza, M Sharma, G Kumar, M Bilgic Data mining and knowledge discovery 31 (2), 287-313, 2017 | 143 | 2017 |
| OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics JM Matthews, B Schuster, SS Kashaf, P Liu, R Ben-Yishay, ... PLoS computational biology 18 (11), e1010584, 2022 | 138 | 2022 |
| Evidence-based uncertainty sampling for active learning M Sharma, M Bilgic Data Mining and Knowledge Discovery 31 (1), 164-202, 2017 | 135 | 2017 |
| D-dupe: An interactive tool for entity resolution in social networks M Bilgic, L Licamele, L Getoor, B Shneiderman 2006 IEEE Symposium On Visual Analytics Science And Technology, 43-50, 2006 | 134 | 2006 |
| Interactive entity resolution in relational data: A visual analytic tool and its evaluation H Kang, L Getoor, B Shneiderman, M Bilgic, L Licamele IEEE transactions on visualization and computer graphics 14 (5), 999-1014, 2008 | 100 | 2008 |
| Effective label acquisition for collective classification M Bilgic, L Getoor Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 97 | 2008 |
| The interaction between political typology and filter bubbles in news recommendation algorithms P Liu, K Shivaram, A Culotta, MA Shapiro, M Bilgic Proceedings of the web conference 2021, 3791-3801, 2021 | 95 | 2021 |
| Link-based active learning M Bilgic, L Getoor NIPS workshop on analyzing networks and learning with graphs 4, 9, 2009 | 78 | 2009 |
| Voila: Efficient feature-value acquisition for classification M Bilgic, L Getoor Proceedings of the national conference on artificial intelligence 22 (2), 1225, 2007 | 73 | 2007 |
| Active Learning with Rationales for Text Classification M Sharma, D Zhuang, M Bilgic The 2015 Annual Conference of the North American Chapter of the ACL - Human …, 2015 | 48* | 2015 |
| IDGI: A framework to eliminate explanation noise from integrated gradients R Yang, B Wang, M Bilgic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 35 | 2023 |
| Active inference for collective classification M Bilgic, L Getoor Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1652-1655, 2010 | 34 | 2010 |
| Reflect and correct: A misclassification prediction approach to active inference M Bilgic, L Getoor ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (4), 1-32, 2009 | 31 | 2009 |
| Active learning with rationales for identifying operationally significant anomalies in aviation M Sharma, K Das, M Bilgic, B Matthews, D Nielsen, N Oza Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016 | 30 | 2016 |
| Most-Surely vs. Least-Surely Uncertain M Sharma, M Bilgic IEEE 13th International Conference on Data Mining (ICDM), 667-676, 2013 | 26 | 2013 |
| Reducing cross-topic political homogenization in content-based news recommendation K Shivaram, P Liu, M Shapiro, M Bilgic, A Culotta Proceedings of the 16th ACM conference on Recommender Systems, 220-228, 2022 | 24 | 2022 |
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerified email at ucsc.edu
