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Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks

G. Bellala, J. Stanley, C. Scott, and S. Bhavnani. CoRR, (2012)

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Extensions of Generalized Binary Search to Group Identification and Exponential Costs.G. Bellala, S. Bhavnani, and C. Scott. NIPS, page 154-162. Curran Associates, Inc., (2010)Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine.S. Bhavnani, A. Ayyaswami, T. Chen, S. Visweswaran, G. Bellala, and K. Bassler. AMIA, AMIA, (2017)A Secure Sum Protocol and Its Application to Privacy-preserving Multi-party Analytics.S. Mehnaz, G. Bellala, and E. Bertino. SACMAT, page 219-230. ACM, (2017)Privacy-Preserving Multi-Party Clustering: An Empirical Study.A. Silva, and G. Bellala. CLOUD, page 326-333. IEEE Computer Society, (2017)Application-awareness in SDN.Z. Qazi, J. Lee, T. Jin, G. Bellala, M. Arndt, and G. Noubir. SIGCOMM, page 487-488. ACM, (2013)A finite state machine-based characterization of building entities for monitoring and control.G. Bellala, M. Marwah, A. Shah, M. Arlitt, and C. Bash. BuildSys@SenSys, page 153-160. ACM, (2012)Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy NetworksG. Bellala, J. Stanley, C. Scott, and S. Bhavnani. CoRR, (2012)Towards an understanding of campus-scale power consumption.G. Bellala, M. Marwah, M. Arlitt, G. Lyon, and C. Bash. BuildSys@SenSys, page 73-78. ACM, (2011)IoTAbench: an Internet of Things Analytics Benchmark.M. Arlitt, M. Marwah, G. Bellala, A. Shah, J. Healey, and B. Vandiver. ICPE, page 133-144. ACM, (2015)Securing private data sharing in multi-party analytics.G. Bellala, and B. Huberman. First Monday, (2016)

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Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks

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Disambiguation of "Bellala, Gowtham"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks

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Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks