E. A. Leicht
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View article: Designing User-Centric Metrics for Evaluation of Counterfactual Explanations
Designing User-Centric Metrics for Evaluation of Counterfactual Explanations Open
Machine learning-based decision models are increasingly being used to make decisions that significantly impact people's lives, but their opaque nature leaves end users without a clear understanding of why a decision was made. Counterfactua…
View article: A nonparametric significance test for sampled networks
A nonparametric significance test for sampled networks Open
Motivation Our work is motivated by an interest in constructing a protein–protein interaction network that captures key features associated with Parkinson’s disease. While there is an abundance of subnetwork construction methods available,…
View article: Appendix C. The generalized niche model.
Appendix C. The generalized niche model. Open
The generalized niche model.
View article: Appendix E. Compartment properties for the niche model.
Appendix E. Compartment properties for the niche model. Open
Compartment properties for the niche model.
View article: Appendix A. Homogeneity calculations.
Appendix A. Homogeneity calculations. Open
Homogeneity calculations.
View article: Appendix D. Compartment properties for the generalized niche model.
Appendix D. Compartment properties for the generalized niche model. Open
Compartment properties for the generalized niche model.
View article: Appendix F. Modularity as a function of diet contiguity for all food webs.
Appendix F. Modularity as a function of diet contiguity for all food webs. Open
Modularity as a function of diet contiguity for all food webs.
View article: Appendix B. Confidence intervals for compartment properties.
Appendix B. Confidence intervals for compartment properties. Open
Confidence intervals for compartment properties.
View article: Null models for community detection in spatially embedded, temporal networks
Null models for community detection in spatially embedded, temporal networks Open
In the study of networks, it is often insightful to use algorithms to determine mesoscale features such as “community structure”, in which densely connected sets of nodes constitute “communities” that have sparse connections to other commu…