Ikuko Nishikawa

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 12

Top Topics

Generative Model

Top Venues

Publications

Carlos E. López Fortín, Ikuko Nishikawa
Generative Data Augmentation for Few-Shot Domain Adaptation. ICPRAM (2024)
Eisuke Ito, Takaya Ueda, Ryo Takano, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa
Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model. ICANN (2) (2022)
Seita Kono, Takaya Ueda, Enrique Arriaga-Varela, Ikuko Nishikawa
Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation. IJCNN (2021)
Takaya Ueda, Yukako Tohsato, Ikuko Nishikawa
Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data. ICANN (1) (2020)
Takaya Ueda, Ikuko Nishikawa
Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation. IJCNN (2020)
Yu Yamane, Masataka Seo, Ikuko Nishikawa
Diversity Preservation in Genetic Algorithm by Lifespan Control. ICNC-FSKD (2019)
Yuki Kimura, Takaya Ueda, Seo Masataka, Yukako Tohsato, Ikuko Nishikawa
Characterizing Phenotype Abnormality by Variational Auto Encoder. ICNC-FSKD (2019)
Takaya Ueda, Masataka Seo, Yukako Tohsato, Ikuko Nishikawa
Analysis of Time Series Anomalies Using Causal InfoGAN and Its Application to Biological Data. ICNC-FSKD (2019)
Takaya Ueda, Masataka Seo, Ikuko Nishikawa
Automatic Correction by Deep Generative Model and its Application to Building Construction. ICNC-FSKD (2018)
Takaya Ueda, Masataka Seo, Ikuko Nishikawa
Data Correction by a Generative Model with an Encoder and its Application to Structure Design. ICANN (3) (2018)
Sihai Yang, Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen
. J. Comput. Biol. 24 (5) (2017)
Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen
Nuclear detection in 4D microscope images of a developing embryo using an enhanced probability map of top-ranked intensity-ordered descriptors. IPSJ Trans. Comput. Vis. Appl. 8 (2016)
Supaphon Kamon, Tung Duc Nguyen, Tomohiro Harada, Ruck Thawonmas, Ikuko Nishikawa
Improving heuristic search for RTS-game unit micromanagement using reinforcement learning. GCCE (2015)
Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen
Nuclear detection in 4D microscope images using enhanced probability map of top-ranked intensity-ordered descriptors. ACPR (2015)
Masayoshi Suzuki, Ryuji Nakatani, Ikuko Nishikawa
A Mechanism Design of Solar Power Trading by Autonomous Agent based on Reinforcement Learning. IDT/IIMSS/STET (2014)
Tomoki Ishino, Ikuko Nishikawa, Yukako Tohsato, Satoshi Fukuchi, Ken Nishikawa
Prediction of protein phosphorylation sites by support vector machines. BMEI (2013)
Yen-Wei Chen, Ikuko Nishikawa, Shinichi Tamura, Bao-Liang Lu, Huiyan Jiang
Computational Intelligence in Biomedical Science and Engineering. Comput. Intell. Neurosci. 2012 (2012)
Hidetoshi Ikeno, Tomoki Kazawa, Shigehiro Namiki, Daisuke Miyamoto, Yohei Sato, Stephan Shuichi Haupt, Ikuko Nishikawa, Ryohei Kanzaki
Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations. Comput. Intell. Neurosci. 2012 (2012)
Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa
Prediction of the O-glycosylation by Support Vector Machines and Characteristics of the Crowded and Isolated O-glycosylation Sites. IIH-MSP (2009)
Chu-Zheng Wang, Xian-Hua Han, Masahiro Ito, Ikuko Nishikawa, Yen-Wei Chen
Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks. IIH-MSP (2009)
Hirotaka Sakamoto, Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa
-Glycosylation by Support Vector Machines and Semi-supervised Learning. ICONIP (1) (2008)
Shingo Takemura, Xian-Hua Han, Yen-Wei Chen, Kazuhiro Ito, Ikuko Nishikawa, Masahiro Ito
Enhancement and detection of lung nodules with Multiscale filters in CT images. IIH-MSP (2008)
Keita Hamahata, Tadahiro Taniguchi, Kazutoshi Sakakibara, Ikuko Nishikawa, Kazuma Tabuchi, Tetsuo Sawaragi
Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward. ISDA (3) (2008)
Kazutoshi Sakakibara, Yoshiro Fukui, Ikuko Nishikawa
Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System. ISDA (3) (2008)
Yen-Wei Chen, Xuemei Yang, Masahiro Ito, Ikuko Nishikawa
-Linked Glycosylation Sites in Protein by Principal Component Subspace Analysis. KES (2) (2007)
Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. IJCNN (2007)
Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Kazutoshi Sakakibara, Masahiro Ito
-Glycosylation with Secondary Structure Information by Support Vector Machines. KES (2) (2007)
Xuemei Yang, Yen-Wei Chen, Masahiro Ito, Ikuko Nishikawa
Principal Component Analysis of O-linked Glycosylation Sites in Protein Sequence. IIH-MSP (2007)
Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Takeshi Iritani, Kazutoshi Sakakibara, Masahiro Ito
-glycosylation Sites in Protein by Layered Neural Networks and Support Vector Machines. KES (2) (2006)
Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara
Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks. IJCNN (2006)
Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara, Yasuaki Kuroe
Phase dynamics of complex-valued neural networks and its application to traffic signal control. Int. J. Neural Syst. 15 (1-2) (2005)
Ikuko Nishikawa, Yasuaki Kuroe
Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System. ICONIP (2004)
Tsuyoshi Chawanya, Toshio Aoyagi, Ikuko Nishikawa, Koji Okuda, Yoshiki Kuramoto
A model for feature linking via collective oscillations in the primary visual cortex. Biol. Cybern. 68 (6) (1993)