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Explaining neural network predictions of material strength



Ian A. Palmer , T. Nathan Mundhenk , Brian Gallagher , Yong Han


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Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery



Bhavya Kailkhura , Brian Gallagher , Sookyung Kim , Anna Hiszpanski , T. Yong-Jin Han


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Network Structure Inference, A Survey: Motivations, Methods, and Applications



Ivan Brugere , Brian Gallagher , Tanya Y. Berger-Wolf

* 37 pages, ACM Computing Surveys (in press) 

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Size-Consistent Statistics for Anomaly Detection in Dynamic Networks



Timothy La Fond , Jennifer Neville , Brian Gallagher


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Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective



Neil Shah , Alex Beutel , Brian Gallagher , Christos Faloutsos


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Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks



Ryan Rossi , Brian Gallagher , Jennifer Neville , Keith Henderson


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Role-Dynamics: Fast Mining of Large Dynamic Networks



Ryan Rossi , Brian Gallagher , Jennifer Neville , Keith Henderson


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