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| [37] | IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients (Yang, Ruo, Wang, Binghui and Bilgic, Mustafa), In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. |
| [36] | Context-aware Feature Selection and Classification (Wang, Juanyan and and Bilgic, Mustafa), In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2023. |
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| [35] | Ranking-Constrained Learning with Rationales for Text Classification (Wang, Juanyan, Sharma, Manali and Bilgic, Mustafa), In Findings of the Association for Computational Linguistics: ACL 2022, Association for Computational Linguistics, 2022. |
| [34] | OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics (Matthews, Jonathan M., Schuster, Brooke, Kashaf, Sara Saheb, Liu, Ping, Ben-Yishay, Rakefet, Ishay-Ronen, Dana, Izumchenko, Evgeny, Shen, Le, Weber, Christopher R., Bielski, Margaret, Kupfer, Sonia S., Bilgic, Mustafa, Rzhetsky, Andrey and Tay, Savaş), In PLOS Computational Biology, Public Library of Science, volume 18, 2022. |
| [33] | Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation (Shivaram, Karthik, Liu, Ping, Shapiro, Matthew, Bilgic, Mustafa and Culotta, Aron), In Proceedings of the 16th ACM Conference on Recommender Systems, Association for Computing Machinery, 2022. |
| [32] | Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls (Balasubramanian, Siva K., Bilgic, Mustafa, Culotta, Aron, Hemphill, Libby, Nikolich, Anita and Shapiro, Matthew A.), In Proceedings of the International AAAI Conference on Web and Social Media, 2022. |
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| [31] | Disciplinary learning from an authentic engineering context (Langman, Catherine, Zawojewski, Judith, McNicholas, Patricia, Cinar, Ali, Brey, Eric, Bilgic, Mustafa and Mehdizadeh, Hamidreza), In Journal of Pre-College Engineering Education Research (J-PEER), Purdue University Press, volume 9, 2019. |
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| [30] | Learning with rationales for document classification (Sharma, Manali and Bilgic, Mustafa), In Machine Learning, 2018. |
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| [29] | Evidence-based uncertainty sampling for active learning (Sharma, Manali and Bilgic, Mustafa), In Data Mining and Knowledge Discovery, volume 31, 2017. |
| [28] | Active learning: an empirical study of common baselines (Ramirez-Loaiza, Maria E., Sharma, Manali, Kumar, Geet and Bilgic, Mustafa), In Data Mining and Knowledge Discovery, volume 31, 2017. |
| [27] | Active inference for dynamic Bayesian networks with an application to tissue engineering (Komurlu, Caner, Shao, Jinjian, Akar, Banu, Bayrak, Elif S., Brey, Eric M., Cinar, Ali and Bilgic, Mustafa), In Knowledge and Information Systems, volume 50, 2017. |
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| [26] | Towards Learning with Feature-Based Explanations for Document Classification (Sharma, Manali and Bilgic, Mustafa), In IJCAI Workshop on BeyondLabeler - Human is More than a Labeler, 2016. |
| [25] | Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation (Sharma, Manali, Das, Kamalika, Bilgic, Mustafa, Matthews, Bryan, Nielsen, David and Oza, Nikunj), In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2016. |
| [24] | Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks (Komurlu, Caner and Bilgic, Mustafa), In Proceedings of AAAI Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, 2016. |
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| [23] | Active Learning with Rationales for Text Classification (Sharma, Manali, Zhuang, Di and Bilgic, Mustafa), In North American Chapter of the Association for Computational Linguistics – Human Language Technologies, 2015. |
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| [22] | Anytime Active Learning (Ramirez-Loaiza, Maria E., Culotta, Aron and Bilgic, Mustafa), In AAAI Conference on Artificial Intelligence, 2014. |
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| [21] | Most-Surely vs. Least-Surely Uncertain (Sharma, Manali and Bilgic, Mustafa), In Proceedings of International Conference on Data Mining (ICDM), 2013. |
| [20] | Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs (Ramirez-Loaiza, Maria E., Culotta, Aron and Bilgic, Mustafa), In ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'13), 2013. |
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| [19] | Active Inference for Retrieval in Camera Networks (Chen, Daozheng, Bilgic, Mustafa, Getoor, Lise, Jacobs, David and Mihalkova, Lilyana and Yeh, Tom), In Workshop on Person Oriented Vision, 2011. |
| [18] | Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition (Bilgic, Mustafa and Getoor, Lise), In Journal of Artificial Intelligence Research (JAIR), volume 41, 2011. |
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| [17] | Cost-Sensitive Information Acquisition in Structured Domains (Bilgic, Mustafa), PhD thesis, University of Maryland - College Park, 2010. |
| [16] | Collective Classification (Sen, Prithviraj, Namata, Galileo Mark, Bilgic, Mustafa and Getoor, Lise), In Encyclopedia of Machine Learning, 2010. |
| [15] | Active Learning for Networked Data (Bilgic, Mustafa, Mihalkova, Lilyana and Getoor, Lise), In Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010. |
| [14] | Active Inference for Collective Classification (Bilgic, Mustafa and Getoor, Lise), In Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track), 2010. |
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| [13] | Reflect and Correct: A Misclassification Prediction Approach to Active Inference (Bilgic, Mustafa and Getoor, Lise), In ACM Transactions on Knowledge Discovery from Data, volume 3, 2009. |
| [12] | Collective Classification for Text Classification (Namata, Galileo Mark, Sen, Prithviraj, Bilgic, Mustafa and Getoor, Lise), Chapter in Text Mining: Classification, Clustering, and Applications (Mehran Sahami, Ashok Srivastava, eds.), Taylor and Francis Group, 2009. |
| [11] | Efficient Resource-constrained Retrospective Analysis of Long Video Sequences (Chen, Daozheng, Bilgic, Mustafa, Getoor, Lise and Jacobs, David), In NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications, 2009. |
| [10] | Link-based Active Learning (Bilgic, Mustafa and Getoor, Lise), In NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009. |
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| [9] | Collective Classification in Network Data (Sen, Prithviraj, Namata, Galileo Mark, Bilgic, Mustafa, Getoor, Lise, Gallagher, Brian and Eliassi-Rad, Tina), In AI Magazine, volume 29, 2008. |
| [8] | Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation (Kang, Hyunmo, Getoor, Lise, Shneiderman, Ben and Bilgic, Mustafa and Licamele, Louis), In IEEE Transactions on Visualization and Computer Graphics, volume 14, 2008. |
| [7] | Effective Label Acquisition for Collective Classification (Bilgic, Mustafa and Getoor, Lise), In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008. |
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| [6] | VOILA: Efficient Feature-value Acquisition for Classification (Bilgic, Mustafa and Getoor, Lise), In AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence, 2007. |
| [5] | Combining Collective Classification and Link Prediction (Bilgic, Mustafa, Namata, Galileo Mark and Getoor, Lise), In Workshop on Mining Graphs and Complex Structures at the IEEE International Conference on Data Mining (ICDM-2007), 2007. |
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| [4] | D-Dupe: An Interactive Tool for Entity Resolution in Social Networks (Bilgic, Mustafa, Licamele, Louis, Getoor, Lise and Shneiderman, Ben), In Visual Analytics Science and Technology (VAST), 2006. |
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| [3] | D-Dupe: An Interactive Tool for Entity Resolution in Social Networks (Bilgic, Mustafa, Licamele, Louis, Getoor, Lise and Shneiderman, Ben), In International Symposium on Graph Drawing (Patrick Healy, Nikola S. Nikolov, eds.), Springer, volume 3843, 2005. |
| [2] | Capital and Benefit in Social Networks (Licamele, Louis, Bilgic, Mustafa, Getoor, Lise and Roussopoulos, Nick), In ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2005. |
| [1] | Explaining Recommendations: Satisfaction vs. Promotion (Bilgic, Mustafa and Mooney, Raymond), In Proceedings of Beyond Personalization 2005: A Workshop on the Next Stage of Recommender Systems Research at the 2005 International Conference on Intelligent User Interfaces, 2005. |