Stochastic Schemata Exploiter-Based Optimization of Convolutional Neural Network. - Hiroya Makino; Xuanang Feng; Eisuke Kita (SMC, 2020)

Application of Machine Learning for Growth Environment Prediction in Agriculture. - Momoko Fujita; Akari Yamada; Mao Susuki; Hiroya Makino; Eisuke Kita (ICDM (Workshops), 2021)

Stochastic Schemata Exploiter-Based AutoML. - Hiroya Makino; Eisuke Kita (ICDM (Workshops), 2021)

SSE-Based Evolutionary Algorithm for Hyper-parameter Optimization of LightGBM on Paddy Rice Yield Prediction Problem. - Ayana Takai; Hiroya Makino; Eisuke Kita (SMC, 2023)

Application of a Stochastic Schemata Exploiter for Multi-Objective Hyper-parameter Optimization of Machine Learning. - Hiroya Makino; Eisuke Kita (Rev. Socionetwork Strateg., 2023)

Online Multi-Agent Pickup and Delivery with Task Deadlines. - Hiroya Makino; Seigo Ito (IROS, 2024)

MARPF: Multi-Agent and Multi-Rack Path Finding. - Hiroya Makino; Yoshihiro Ohama; Seigo Ito (IROS, 2024)

Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data. - Koshi Oishi; Teruki Kato; Hiroya Makino; Seigo Ito (CoRR, 2024)

Zero-Shot Visual Concept Blending Without Text Guidance. - Hiroya Makino; Takahiro Yamaguchi; Hiroyuki Sakai 008 (CoRR, 2025)