Conducting research with undergraduates. - Karen Ward; Judith Bayard Cushing; Peter Drake; James D. Fix (J. Comput. Sci. Coll., 2005)

An Efficient Algorithm For Eyespace Classification In Go. - Peter Drake; Niku Schreiner; Brett Tomlin; Loring Veenstra (IC-AI, 2006)

Developing a computer strategy game in an undergraduate course in software development using extreme programming. - Peter Drake; Nigel Kerr (J. Comput. Sci. Coll., 2006)

Games in the computer science classroom. - Peter Drake; Genevieve Orr; Judith Bayard Cushing (J. Comput. Sci. Coll., 2006)

Heuristics in Monte Carlo Go. - Peter Drake; Steve Uurtamo (IC-AI, 2007)

Coevolving Partial Strategies for the Game of Go. - Peter Drake; Yung-Pin Chen (GEM, 2008)

The Beta Distribution in the UCB Algorithm Applied to Monte-Carlo Go. - John Stogin; Yung-Pin Chen; Peter Drake; Seth Pellegrino (IC-AI, 2009)

The Last-Good-Reply Policy for Monte-Carlo Go. - Peter Drake (J. Int. Comput. Games Assoc., 2009)

Localizing Search in Monte-Carlo Go using Statistical Covariance. - Seth Pellegrino; A. Hubbard; J. Galbraith; Peter Drake; Yung-Pin Chen (J. Int. Comput. Games Assoc., 2009)

Using Human knowledge to Improve Opening Strategy in Computer Go. - Jessica Mullins; Peter Drake (IC-AI, 2010)

Investigating the Effects of Playout Strength in Monte-Carlo Go. - Seth Pellegrino; Peter Drake (IC-AI, 2010)

The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go. - Hendrik Baier; Peter D. Drake (IEEE Trans. Comput. Intell. AI Games, 2010)

Teaching introductory programming with popular board games. - Peter Drake; Kelvin Sung (SIGCSE, 2011)

Learn Java in N Games. - Peter Drake (J. Comput. Sci. Coll., 2011)

Games, computer science, and education. - Peter Drake (Comput. Sci. Educ., 2013)

Learn Java in N games (abstract only). - Peter Drake; Mark H. Goadrich (SIGCSE, 2014)

Adding parallel Haskell to the undergraduate programming language course. - David P. Bunde; Jens Mache; Peter Drake (J. Comput. Sci. Coll., 2014)

Go: the deepest game. - Peter Drake (J. Comput. Sci. Coll., 2014)

Two Online Learning Playout Policies in Monte Carlo Go: An Application of Win/Loss States. - Jacques Basaldua; Sam Stewart; J. Marcos Moreno-Vega; Peter D. Drake (IEEE Trans. Comput. Intell. AI Games, 2014)

A brief overview of machine learning with Python: tutorial presentation. - Genevieve Orr; Peter Drake; Judith Bayard Cushing (J. Comput. Sci. Coll., 2016)

Building Out Data Science at Small Colleges: (Abstract Only). - Travis Mandel; Jens Mache; Richard Weiss 001; Peter Drake (SIGCSE, 2018)

Playing a Serious Game for Earthquake Preparedness: Effects of Resource Richness and Avatar Choice. - Erik Nilsen; Elizabeth Safran; Peter Drake; Bryan Sebok (CHI Extended Abstracts, 2020)