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Margaret J. Eppstein

Affiliations: 
Computer Science The University of Vermont and State Agricultural College 
Area:
Computer Science, Environmental Health
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"Margaret Eppstein"
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Narine Manukyan grad student 2014 The University of Vermont and State Agricultural College

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Hanley JP, Rizzo DM, Buzas JS, et al. (2019) A Tandem Evolutionary Algorithm for Identifying Causal Rules from Complex Data. Evolutionary Computation. 1-32
Manukyan N, Eppstein MJ, Buzas JS. (2016) Tunably Rugged Landscapes With Known Maximum and Minimum. Ieee Transactions On Evolutionary Computation : a Publication of the Ieee Neural Networks Council. 20: 263-274
Manukyan N, Eppstein MJ, Buzas JS. (2016) Tunably Rugged Landscapes with Known Maximum and Minimum Ieee Transactions On Evolutionary Computation. 20: 263-274
Garcia-Bernardo J, Eppstein MJ. (2015) Evolving modular genetic regulatory networks with a recursive, top-down approach. Systems and Synthetic Biology. 9: 179-189
Eppstein MJ, Rizzo DM, Lee BHY, et al. (2015) Using national survey respondents as consumers in an agent-based model of plug-in hybrid vehicle adoption Ieee Access. 3: 457-468
Manukyan N, Eppstein MJ, Buzas JS. (2014) NM landscapes: Beyond NK Gecco 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. 203-204
Manukyan N, Eppstein MJ, Horbar JD, et al. (2013) Exploratory Analysis in Time-Varying Data Sets: a Healthcare Network Application. International Journal of Advanced Computer Science. 3: 322-329
Manukyan N, Eppstein MJ, Horbar JD. (2013) Team Learning for Healthcare Quality Improvement. Ieee Access : Practical Innovations, Open Solutions. 1: 545-557
Manukyan N, Eppstein MJ, Horbar JD. (2013) Team structure and quality improvement in collaborative environments Proceedings of the 2013 International Conference On Collaboration Technologies and Systems, Cts 2013. 523-529
Manukyan N, Eppstein MJ, Rizzo DM. (2012) Data-driven cluster reinforcement and visualization in sparsely-matched self-organizing maps. Ieee Transactions On Neural Networks and Learning Systems. 23: 846-52
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