Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability. - Shogo Takeuchi; Tomoyuki Kaneko; Kazunori Yamaguchi; Satoru Kawai (AAAI, 2007)

Evaluation of Monte Carlo tree search and the application to Go. - Shogo Takeuchi; Tomoyuki Kaneko; Kazunori Yamaguchi (CIG, 2008)

Evaluation of Game Tree Search Methods by Game Records. - Shogo Takeuchi; Tomoyuki Kaneko; Kazunori Yamaguchi (IEEE Trans. Comput. Intell. AI Games, 2010)

Optimizing Objective Function Parameters for Strength in Computer Game-Playing. - Yoshikuni Sato; Makoto Miwa; Shogo Takeuchi; Daisuke Takahashi (AAAI, 2013)

Shared-Memory Parallel Frontier-Based Search. - Shogo Takeuchi; Jun Kawahara; Akihiro Kishimoto; Shin-ichi Minato (WALCOM, 2013)

A General Framework for Parallel Unary Operations on ZDDs. - Shogo Takeuchi; Takahisa Toda; Shin-ichi Minato (PAKDD Workshops, 2014)

Estimating Ratings of Computer Players by the Evaluation Scores and Principal Variations in Shogi. - Shogo Takeuchi; Tomoyuki Kaneko (ACIT-CSI, 2015)

Enumerating Eulerian Trails via Hamiltonian Path Enumeration. - Hiroyuki Hanada; Shuhei Denzumi; Yuma Inoue; Hiroshi Aoki; Norihito Yasuda; Shogo Takeuchi; Shin-ichi Minato (WALCOM, 2015)

Superset Generation on Decision Diagrams. - Takahisa Toda; Shogo Takeuchi; Koji Tsuda; Shin-ichi Minato (WALCOM, 2015)

Weighted Majority Voting with a Heterogeneous System in the Game of Shogi. - Shogo Takeuchi (TAAI, 2018)

Advice is Useful for Game AI: Experiments with Alpha-Beta Search Players in Shogi. - Shogo Takeuchi (ACG, 2019)

Comparison of Search Behaviors in Chess, Shogi, and the game of Go. - Shogo Takeuchi (TAAI, 2022)