A model for feature linking via collective oscillations in the primary visual cortex. - Tsuyoshi Chawanya; Toshio Aoyagi; Ikuko Nishikawa; Koji Okuda; Yoshiki Kuramoto (Biol. Cybern., 1993)

Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System. - Ikuko Nishikawa; Yasuaki Kuroe (ICONIP, 2004)

2 types of complex-valued Hopfield networks and the application to a traffic signal control. - Ikuko Nishikawa; Kazutoshi Sakakibara; Takeshi Iritani; Yasuaki Kuroe (IJCNN, 2005)

Phase dynamics of complex-valued neural networks and its application to traffic signal control. - Ikuko Nishikawa; Takeshi Iritani; Kazutoshi Sakakibara; Yasuaki Kuroe (Int. J. Neural Syst., 2005)

Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks. - Ikuko Nishikawa; Takeshi Iritani; Kazutoshi Sakakibara (IJCNN, 2006)

Prediction of the O-glycosylation Sites in Protein by Layered Neural Networks and Support Vector Machines. - Ikuko Nishikawa; Hirotaka Sakamoto; Ikue Nouno; Takeshi Iritani; Kazutoshi Sakakibara; Masahiro Ito (KES (2), 2006)

Principal Component Analysis of O-linked Glycosylation Sites in Protein Sequence. - Xuemei Yang; Yen-Wei Chen 001; Masahiro Ito; Ikuko Nishikawa (IIH-MSP, 2007)

Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. - Ikuko Nishikawa; Kohei Hayashi; Kazutoshi Sakakibara (IJCNN, 2007)

Pattern Analysis and Prediction of O -Linked Glycosylation Sites in Protein by Principal Component Subspace Analysis. - Yen-Wei Chen 001; Xuemei Yang; Masahiro Ito; Ikuko Nishikawa (KES (2), 2007)

Prediction of the O -Glycosylation with Secondary Structure Information by Support Vector Machines. - Ikuko Nishikawa; Hirotaka Sakamoto; Ikue Nouno; Kazutoshi Sakakibara; Masahiro Ito (KES (2), 2007)

Prediction of the O-Glycosylation by Support Vector Machines and Semi-supervised Learning. - Hirotaka Sakamoto; Yukiko Nakajima; Kazutoshi Sakakibara; Masahiro Ito; Ikuko Nishikawa (ICONIP (1), 2008)

Enhancement and detection of lung nodules with Multiscale filters in CT images. - Shingo Takemura; Xian-Hua Han; Yen-Wei Chen 001; Kazuhiro Ito; Ikuko Nishikawa; Masahiro Ito (IIH-MSP, 2008)

Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward. - Keita Hamahata; Tadahiro Taniguchi; Kazutoshi Sakakibara; Ikuko Nishikawa; Kazuma Tabuchi; Tetsuo Sawaragi (ISDA (3), 2008)

Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System. - Kazutoshi Sakakibara; Yoshiro Fukui; Ikuko Nishikawa (ISDA (3), 2008)

Prediction of the O-glycosylation by Support Vector Machines and Characteristics of the Crowded and Isolated O-glycosylation Sites. - Yukiko Nakajima; Kazutoshi Sakakibara; Masahiro Ito; Ikuko Nishikawa (IIH-MSP, 2009)

Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks. - Chu-Zheng Wang; Xian-Hua Han; Masahiro Ito; Ikuko Nishikawa; Yen-Wei Chen 001 (IIH-MSP, 2009)

Computational Intelligence in Biomedical Science and Engineering. - Yen-Wei Chen 001; Ikuko Nishikawa; Shinichi Tamura; Bao-Liang Lu; Huiyan Jiang (Comput. Intell. Neurosci., 2012)

Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations. - Hidetoshi Ikeno; Tomoki Kazawa; Shigehiro Namiki; Daisuke Miyamoto; Yohei Sato; Stephan Shuichi Haupt; Ikuko Nishikawa; Ryohei Kanzaki (Comput. Intell. Neurosci., 2012)

Prediction of protein phosphorylation sites by support vector machines. - Tomoki Ishino; Ikuko Nishikawa; Yukako Tohsato; Satoshi Fukuchi; Ken Nishikawa (BMEI, 2013)

A Mechanism Design of Solar Power Trading by Autonomous Agent based on Reinforcement Learning. - Masayoshi Suzuki; Ryuji Nakatani; Ikuko Nishikawa (IDT/IIMSS/STET, 2014)

Nuclear detection in 4D microscope images using enhanced probability map of top-ranked intensity-ordered descriptors. - Xian-Hua Han; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa; Yen-Wei Chen 001 (ACPR, 2015)

Improving heuristic search for RTS-game unit micromanagement using reinforcement learning. - Supaphon Kamon; Tung Duc Nguyen; Tomohiro Harada; Ruck Thawonmas; Ikuko Nishikawa (GCCE, 2015)

Nuclear detection in 4D microscope images of a developing embryo using an enhanced probability map of top-ranked intensity-ordered descriptors. - Xian-Hua Han; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa; Yen-Wei Chen 001 (IPSJ Trans. Comput. Vis. Appl., 2016)

Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans. - Sihai Yang; Xian-Hua Han; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa; Yen-Wei Chen 001 (J. Comput. Biol., 2017)

Data Correction by a Generative Model with an Encoder and its Application to Structure Design. - Takaya Ueda; Masataka Seo; Ikuko Nishikawa (ICANN (3), 2018)

Automatic Correction by Deep Generative Model and its Application to Building Construction. - Takaya Ueda; Masataka Seo; Ikuko Nishikawa (ICNC-FSKD, 2018)

Characterizing Phenotype Abnormality by Variational Auto Encoder. - Yuki Kimura; Takaya Ueda; Seo Masataka; Yukako Tohsato; Ikuko Nishikawa (ICNC-FSKD, 2019)

Analysis of Time Series Anomalies Using Causal InfoGAN and Its Application to Biological Data. - Takaya Ueda; Masataka Seo; Yukako Tohsato; Ikuko Nishikawa (ICNC-FSKD, 2019)

Diversity Preservation in Genetic Algorithm by Lifespan Control. - Yu Yamane; Masataka Seo; Ikuko Nishikawa (ICNC-FSKD, 2019)

Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data. - Takaya Ueda; Yukako Tohsato; Ikuko Nishikawa (ICANN (1), 2020)

Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation. - Takaya Ueda; Ikuko Nishikawa (IJCNN, 2020)

Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation. - Seita Kono; Takaya Ueda; Enrique Arriaga-Varela; Ikuko Nishikawa (IJCNN, 2021)

Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model. - Eisuke Ito; Takaya Ueda; Ryo Takano; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa (ICANN (2), 2022)

Generative Data Augmentation for Few-Shot Domain Adaptation. - Carlos E. López Fortín; Ikuko Nishikawa (ICPRAM, 2024)

Two-Stage Diffusion Model for 3D Medical Image Segmentation. - Masaki Nishimura; Takaya Ueda; Eisuke Ito; Ikuko Nishikawa (IJCNN, 2024)