Search Results for author: Dane Taylor

Found 7 papers, 3 papers with code

The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level

no code implementations26 Feb 2022 Ting Chang, Yingjie Hu, Dane Taylor, Brian M. Quigley

In this study, we propose to derive information about the alcohol outlet visits of the residents of different neighborhoods from anonymized mobile phone location data, and investigate whether the derived visits can help better predict DV at the neighborhood level.

Association

Impact of Community Structure on Consensus Machine Learning

no code implementations2 Nov 2020 Bao Huynh, Haimonti Dutta, Dane Taylor

Here, we analyze the effect on $\tau_\epsilon$ of network community structure, which can arise when compute nodes/sensors are spatially clustered, for example.

BIG-bench Machine Learning

Continuous-in-Depth Neural Networks

4 code implementations5 Aug 2020 Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney

We first show that ResNets fail to be meaningful dynamical integrators in this richer sense.

Numerical Integration

Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware

no code implementations31 Jul 2020 N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney

The ubiquity of deep neural networks (DNNs), cloud-based training, and transfer learning is giving rise to a new cybersecurity frontier in which unsecure DNNs have `structural malware' (i. e., compromised weights and activation pathways).

Transfer Learning

Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks

2 code implementations3 Apr 2019 Dane Taylor, Mason A. Porter, Peter J. Mucha

Characterizing the importances of nodes in social, biological, information and technological networks is a core topic for the network-science and data-science communities.

Social and Information Networks Physics and Society 05C82

Post-processing partitions to identify domains of modularity optimization

1 code implementation12 Jun 2017 William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha

We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of possibly various computational heuristics.

Social and Information Networks Physics and Society

Clustering Network Layers With the Strata Multilayer Stochastic Block Model

no code implementations7 Jul 2015 Natalie Stanley, Saray Shai, Dane Taylor, Peter J. Mucha

While each layer provides its own set of information, community structure across layers can be collectively utilized to discover and quantify underlying relational patterns between nodes.

Stochastic Block Model

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