Publications

2017
[36] Active Learning with Rich Feedback (), PhD thesis, Illinois Institute of Technology, . [bibtex] [pdf]
[35] Learning with rationales for document classification ( and ), In Machine Learning, . [bibtex] [pdf] [doi]
[34] Evidence-based uncertainty sampling for active learning ( and ), In Data Mining and Knowledge Discovery, volume 31, . [bibtex] [pdf] [doi]
[33] Active learning: an empirical study of common baselines (, , and ), In Data Mining and Knowledge Discovery, volume 31, . [bibtex] [pdf] [doi]
[32] Active inference for dynamic Bayesian networks with an application to tissue engineering (, , , , , and ), In Knowledge and Information Systems, volume 50, . [bibtex] [pdf] [doi]
2016
[31] Anytime Active Learning (), PhD thesis, Illinois Institute of Technology, . [bibtex] [pdf]
[30] Towards Learning with Feature-Based Explanations for Document Classification ( and ), In IJCAI Workshop on BeyondLabeler - Human is More than a Labeler, . [bibtex] [pdf]
[29] Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation (, , , , and ), In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), . [bibtex] [pdf]
[28] Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks ( and ), In Proceedings of AAAI Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, . [bibtex] [pdf]
2015
[27] Active Learning with Rationales for Text Classification (, and ), In North American Chapter of the Association for Computational Linguistics – Human Language Technologies, . [bibtex] [pdf]
2014
[26] Anytime Active Learning (, and ), In AAAI Conference on Artificial Intelligence, . [bibtex] [pdf]
[25] Dynamic Bayesian Network Modeling of Vascularization in Engineered Tissues (, and ), In Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop, . [bibtex] [pdf]
2013
[24] Most-Surely vs. Least-Surely Uncertain ( and ), In Proceedings of International Conference on Data Mining (ICDM), . [bibtex] [pdf]
[23] Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs (, and ), In ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'13), . [bibtex] [pdf]
2012
[22] Active Query Selection for Learning Rankers ( and ), In ACM SIGIR Conference on Research and Development in Information Retrieval, . [bibtex] [pdf]
[21] Combining Active Learning and Dynamic Dimensionality Reduction (), In SIAM International Conference on Data Mining (SDM), . [bibtex] [pdf]
2011
[20] Active Inference for Retrieval in Camera Networks (, , , and ), In Workshop on Person Oriented Vision, . [bibtex] [pdf]
[19] Dynamic Processing Allocation in Video (, , and ), In IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, volume 33, . [bibtex] [pdf]
[18] Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition ( and ), In Journal of Artificial Intelligence Research (JAIR), volume 41, . [bibtex] [pdf]
2010
[17] Cost-Sensitive Information Acquisition in Structured Domains (), PhD thesis, University of Maryland - College Park, . [bibtex] [pdf]
[16]Collective Classification (, , and ), In Encyclopedia of Machine Learning, . [bibtex]
[15] Active Learning for Networked Data (, and ), In Proceedings of the 27th International Conference on Machine Learning (ICML-10), . [bibtex] [pdf]
[14] Active Inference for Collective Classification ( and ), In Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track), . [bibtex] [pdf]
2009
[13] Reflect and Correct: A Misclassification Prediction Approach to Active Inference ( and ), In ACM Transactions on Knowledge Discovery from Data, volume 3, . [bibtex] [pdf]
[12]Collective Classification for Text Classification (, , and ), Chapter in Text Mining: Classification, Clustering, and Applications (Mehran Sahami, Ashok Srivastava, eds.), Taylor and Francis Group, . [bibtex]
[11] Efficient Resource-constrained Retrospective Analysis of Long Video Sequences (, , and ), In NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications, . [bibtex] [pdf]
[10] Link-based Active Learning ( and ), In NIPS Workshop on Analyzing Networks and Learning with Graphs, . [bibtex] [pdf]
2008
[9] Collective Classification in Network Data (, , , , and ), In AI Magazine, volume 29, . [bibtex] [pdf]
[8] Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation (, , and ), In IEEE Transactions on Visualization and Computer Graphics, volume 14, . [bibtex] [pdf]
[7] Effective Label Acquisition for Collective Classification ( and ), In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, . [bibtex] [pdf]
2007
[6] VOILA: Efficient Feature-value Acquisition for Classification ( and ), In AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence, . [bibtex] [pdf]
[5] Combining Collective Classification and Link Prediction (, and ), In Workshop on Mining Graphs and Complex Structures at the IEEE International Conference on Data Mining (ICDM-2007), . [bibtex] [pdf]
2006
[4] D-Dupe: An Interactive Tool for Entity Resolution in Social Networks (, , and ), In Visual Analytics Science and Technology (VAST), . [bibtex] [pdf]
2005
[3] D-Dupe: An Interactive Tool for Entity Resolution in Social Networks (, , and ), In International Symposium on Graph Drawing (Patrick Healy, Nikola S. Nikolov, eds.), Springer, volume 3843, . [bibtex] [pdf]
[2] Capital and Benefit in Social Networks (, , and ), In ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), . [bibtex] [pdf]
[1] Explaining Recommendations: Satisfaction vs. Promotion ( and ), 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, . [bibtex] [pdf]