Michael E. Cotterell

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 6

Top Topics

Active Learning Strategies

Big Data Analytics

Top Venues

BigData Congress

Publications

Michael E. Cotterell, Delaram Yazdansepas, Bradley J. Barnes
Active Learning in CS2 and Discrete Mathematics. SIGCSE (2020)
Michael E. Cotterell, Delaram Yazdansepas, Bradley J. Barnes
Improving Student Sentiment of Active Learning in CS. ICER (2020)
Hao Peng, Santosh U. Bobade, Michael E. Cotterell, John A. Miller
Forecasting Traffic Flow: Short Term, Long Term, and When It Rains. BigData Congress (2018)
John A. Miller, Hao Peng, Michael E. Cotterell
Adding Support for Theory in Open Science Big Data. BigData Congress (2017)
John A. Miller, Hao Peng, Michael E. Cotterell
Adding Support for Theory in Open Science Big Data. SERVICES (2017)
Mustafa V. Nural, Michael E. Cotterell, John A. Miller
Using Semantics in Predictive Big Data Analytics. BigData Congress (2015)
John A. Miller, Michael E. Cotterell, Stephen J. Buckley
Supporting a modeling continuum in scalation: From predictive analytics to simulation modeling. WSC (2013)
Qin Sun, Aaron Beach, Michael E. Cotterell, Zhengkai Wu, Santiago Grijalva
An Economic Model for Distributed Energy Prosumers. HICSS (2013)
Michael E. Cotterell, Terrance Medina
A Markov Model for Ontology Alignment CoRR (2013)
Alok Dhamanaskar, Michael E. Cotterell, Jie Zheng, Jessica C. Kissinger, Christian J. Stoeckert Jr., John A. Miller
Suggestions for Galaxy Workflow Design Using Semantically Annotated Services. FOIS (2012)
Michael E. Cotterell, John A. Miller, Tom Horton
Unicode in Domain-Specific Programming Languages for Modeling & Simulation: ScalaTion as a Case Study CoRR (2011)