Publications Navigation
2017
[35] Active Learning with Rich Feedback (Manali Sharma), PhD thesis, Illinois Institute of Technology, 2017. [bib] [pdf]
[34] Evidence-based uncertainty sampling for active learning (Manali Sharma, Mustafa Bilgic), In Data Mining and Knowledge Discovery, volume 31, 2017. [bib] [pdf] [doi]
[33] Active learning: an empirical study of common baselines (Maria E. Ramirez-Loaiza, Manali Sharma, Geet Kumar, Mustafa Bilgic), In Data Mining and Knowledge Discovery, volume 31, 2017. [bib] [pdf] [doi]
[32] Active inference for dynamic Bayesian networks with an application to tissue engineering (Caner Komurlu, Jinjian Shao, Banu Akar, Elif S. Bayrak, Eric M. Brey, Ali Cinar, Mustafa Bilgic), In Knowledge and Information Systems, volume 50, 2017. [bib] [pdf] [doi]
2016
[31] Towards Learning with Feature-Based Explanations for Document Classification (Manali Sharma, Mustafa Bilgic), In IJCAI Workshop on BeyondLabeler - Human is More than a Labeler, 2016. [bib] [pdf]
[30] Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation (Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan Matthews, David Nielsen, Nikunj Oza), In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2016. [bib] [pdf]
[29] Anytime Active Learning (Maria E. Ramirez-Loaiza), PhD thesis, Illinois Institute of Technology, 2016. [bib] [pdf]
[28] Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks (Caner Komurlu, Mustafa Bilgic), In Proceedings of AAAI Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, 2016. [bib] [pdf]
2015
[27] Active Learning with Rationales for Text Classification (Manali Sharma, Di Zhuang, Mustafa Bilgic), In North American Chapter of the Association for Computational Linguistics -- Human Language Technologies, 2015. [bib] [pdf]
2014
[26] Anytime Active Learning (Maria E. Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic), In AAAI Conference on Artificial Intelligence, 2014. [bib] [pdf]
[25] Dynamic Bayesian Network Modeling of Vascularization in Engineered Tissues (Caner Komurlu, Jinjian Shao, Mustafa Bilgic), In Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop, 2014. [bib] [pdf]
2013
[24] Most-Surely vs. Least-Surely Uncertain (Manali Sharma, Mustafa Bilgic), In Proceedings of International Conference on Data Mining (ICDM), 2013. [bib] [pdf]
[23] Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs (Maria E. Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic), In ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'13), 2013. [bib] [pdf]
2012
[22] Active Query Selection for Learning Rankers (Mustafa Bilgic, Paul N. Bennett), In ACM SIGIR Conference on Research and Development in Information Retrieval, 2012. [bib] [pdf]
[21] Combining Active Learning and Dynamic Dimensionality Reduction (Mustafa Bilgic), In SIAM International Conference on Data Mining (SDM), 2012. [bib] [pdf]
2011
[20] Active Inference for Retrieval in Camera Networks (Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs, Lilyana Mihalkova, Tom Yeh), In Workshop on Person Oriented Vision, 2011. [bib] [pdf]
[19] Dynamic Processing Allocation in Video (Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs), In IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, volume 33, 2011. [bib] [pdf]
[18] Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition (Mustafa Bilgic, Lise Getoor), In Journal of Artificial Intelligence Research (JAIR), volume 41, 2011. [bib] [pdf]
2010
[17] Collective Classification (Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor), In Encyclopedia of Machine Learning, 2010. [bib]
[16] Cost-Sensitive Information Acquisition in Structured Domains (Mustafa Bilgic), PhD thesis, University of Maryland - College Park, 2010. [bib] [pdf]
[15] Active Learning for Networked Data (Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor), In Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010. [bib] [pdf]
[14] Active Inference for Collective Classification (Mustafa Bilgic, Lise Getoor), In Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track), 2010. [bib] [pdf]
2009
[13] Collective Classification for Text Classification (Galileo Mark Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor), Chapter in Text Mining: Classification, Clustering, and Applications (Mehran Sahami, Ashok Srivastava, eds.), Taylor and Francis Group, 2009. [bib]
[12] Efficient Resource-constrained Retrospective Analysis of Long Video Sequences (Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs), In NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications, 2009. [bib] [pdf]
[11] Reflect and Correct: A Misclassification Prediction Approach to Active Inference (Mustafa Bilgic, Lise Getoor), In ACM Transactions on Knowledge Discovery from Data, volume 3, 2009. [bib] [pdf]
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