Evaluation of Nonlinear Tempo Modification Methods Based on Sinusoidal Modeling. - Kosuke Nakamura; Yuya Chiba; Takashi Nose; Akinori Ito (IIH-MSP (2), 2017)

Melody Completion Based on Convolutional Neural Networks and Generative Adversarial Learning. - Kosuke Nakamura; Takashi Nose; Yuya Chiba; Akinori Ito (IIH-MSP (2), 2018)

Partitioning vertices into in- and out-dominating sets in digraphs. - Kosuke Nakamura; Toru Araki (Discret. Appl. Math., 2020)

A Symbol-level Melody Completion Based on a Convolutional Neural Network with Generative Adversarial Learning. - Kosuke Nakamura; Takashi Nose; Yuya Chiba; Akinori Ito (J. Inf. Process., 2020)

Person Identification Based on Accelerations Sensed in Smartphones with LSTM. - Yoshihaya Takahashi; Kosuke Nakamura; Takeshi Kamiyama; Masato Oguchi; Saneyasu Yamaguchi (J. Inf. Process., 2021)

Providing Interpretability of Document Classification by Deep Neural Network with Self-attention. - Atsuki Tamekuri; Kosuke Nakamura; Yoshihaya Takahashi; Saneyasu Yamaguchi (J. Inf. Process., 2022)

HyperRS: Hypernetwork-Based Recommender System for the User Cold-Start Problem. - Yuxun Lu; Kosuke Nakamura; Ryutaro Ichise (IEEE Access, 2023)

QA2HALL: A Framework for Generating Non-trivial Hallucination Detection Datasets from KGQA Datasets. - Kosuke Nakamura; Rie Hasegawa; Kotaro Otomura; Ryutaro Ichise; Jumpei Hato (NLDB (1), 2025)