The Excessive Variegation of Nomenclature of Major Fields of Academic Degrees in Japan: Study of English Versions Based on 2017 Survey. - Nozomi Takahashi; Rie Mori (IIAI-AAI, 2019)

Relationship between academic fields and career paths after college graduation in Japan. - Nozomi Takahashi; Rie Mori (IIAI-AAI, 2020)

Bit duplication technique to generate hard QUBO problems. - Xiaotian Li; Koji Nakano; Yasuaki Ito; Daisuke Takafuji; Takashi Yazane; Junko Yano; Shiro Ozaki; Ryota Katsuki; Rie Mori (CANDARW, 2022)

A benchmark QUBO problem inspired by digital halftoning based on the human visual system. - Koji Nakano; Yasuaki Ito; Daisuke Takafuji; Takashi Yazane; Junko Yano; Shiro Ozaki; Ryota Katsuki; Rie Mori (CANDAR, 2022)

Solving the N-Queens Puzzle by a QUBO Model with Quadratic Size. - Shunsuke Tsukiyama; Koji Nakano; Yasuaki Ito; Takashi Yazane; Junko Yano; Takumi Kato; Shiro Ozaki; Rie Mori; Ryota Katsuki (candar, 2023)

Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs. - Koji Nakano; Daisuke Takafuji; Yasuaki Ito; Takashi Yazane; Junko Yano; Shiro Ozaki; Ryota Katsuki; Rie Mori (IPDPS Workshops, 2023)

Dual-Matrix Domain-Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes. - Koji Nakano; Shunsuke Tsukiyama; Yasuaki Ito; Takashi Yazane; Junko Yano; Takumi Kato; Shiro Ozaki; Rie Mori; Ryota Katsuki (CoRR, 2023)

Bit duplication technique to generate hard quadratic unconstrained binary optimization problems with adjustable sizes. - Xiaotian Li; Koji Nakano; Yasuaki Ito; Daisuke Takafuji; Takashi Yazane; Junko Yano; Takumi Kato; Shiro Ozaki; Rie Mori; Ryota Katsuki (Concurr. Comput. Pract. Exp., 2024)

Proposal of a Course-Classification Support System Using Deep Learning and its Evaluation When Combined with Reinforcement Learning. - Kazuteru Miyazaki; Shu Yamaguchi; Rie Mori; Yumiko Yoshikawa; Takanori Saito; Toshiya Suzuki (J. Adv. Comput. Intell. Intell. Informatics, 2024)