Richard Reeve

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Selecting Random Effect Components in a Sparse Hierarchical Bayesian Model for Identifying Antigenic Variability

Dirk Husmeier, Vinny Davies, Richard Reeve, 2015, CIBB.

Generation of test cases for hardware design verification of a super-scalar Fetch Processor

Irith Pomeranz, Nirmal R. Saxena, Richard Reeve, 1996, Proceedings International Test Conference 1996. Test and Design Validity.

Design in the World AND Our Work

Richard Reeve, Vanessa Svihla, 2013, CSCL.

An analysis of neural models for walking control

John Hallam, Richard Reeve, J. Hallam, 2005, IEEE Transactions on Neural Networks.

A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution

Dirk Husmeier, Vinny Davies, Richard Reeve, 2017, Comput. Stat..

Toward a Multi-Level Knowledge Building Innovation Network

Carol K. K. Chan, Thérèse Laferrière, Marlene Scardamalia, 2017, CSCL.

A fingerprint pattern of supports for teachers’ designing of technology-enhanced learning

Yael Kali, Richard Reeve, Ornit Sagy, 2015, Instructional Science.

The use and development of physical simulators

Richard Reeve, Sudhakar R. Paidy, 1982 .

Sequence-Based Prediction for Vaccine Strain Selection and Identification of Antigenic Variability in Foot-and-Mouth Disease Virus

Richard Reeve, Tjaart A. P. de Beer, Louise Matthews, 2010, PLoS Comput. Biol..

Technological Pedagogical Content Knowledge and the Context: An Integrated Model

Richard Reeve, 2008 .

Factors to be Considered: Overlapping Communities of Inquiry and a Knowledge-Building Classroom

Richard Reeve, Mary Lamon, 1998 .

Estimating viral covariances using Bayesian multivariate conditional autoregressive models

Richard Reeve, Pablo R. Murcia, Louise Matthews, 2016 .

Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus

Dirk Husmeier, Vinny Davies, Richard Reeve, 2014, AISTATS.

Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model

Dirk Husmeier, Vinny Davies, Richard Reeve, 2019, Journal of the Royal Statistical Society. Series C, Applied statistics.

Effects of Concept Mapping on Creativity in Photo Stories

Richard Reeve, John R. Kirby, Natalie Simper, 2016 .

Pre-service teachers as telementors: exploring the links between theory and practice

Richard Reeve, Jim Hewitt, Dale Vaillancourt, 2002 .

Wisdom in Elementary School

Marlene Scardamalia, Richard Messina, Richard Reeve, 2008 .

Design as Scholarship : Case Studies from the Learning Sciences

Richard Reeve, Vanessa Svihla, 2016 .

Facilitating Problem Framing in Project-Based Learning

Richard Reeve, Vanessa Svihla, V. Svihla, 2016, Interactional Research Into Problem-Based Learning.