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ORCIDIkuko Nishikawa
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2020 – today
- 2024
[c29]Carlos E. López Fortín, Ikuko Nishikawa:
Generative Data Augmentation for Few-Shot Domain Adaptation. ICPRAM 2024: 256-265- [c28]Masaki Nishimura, Takaya Ueda, Eisuke Ito, Ikuko Nishikawa:
Two-Stage Diffusion Model for 3D Medical Image Segmentation. IJCNN 2024: 1-7 - 2022
- [c27]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: 432-444 - 2021
- [c26]Seita Kono, Takaya Ueda, Enrique Arriaga-Varela, Ikuko Nishikawa:
Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation. IJCNN 2021: 1-7 - 2020
- [c25]Takaya Ueda, Yukako Tohsato, Ikuko Nishikawa:
Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data. ICANN (1) 2020: 553-565 - [c24]Takaya Ueda, Ikuko Nishikawa:
Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [c23]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: 609-617 - [c22]Yuki Kimura, Takaya Ueda, Seo Masataka, Yukako Tohsato, Ikuko Nishikawa:
Characterizing Phenotype Abnormality by Variational Auto Encoder. ICNC-FSKD 2019: 618-626 - [c21]Yu Yamane, Masataka Seo, Ikuko Nishikawa:
Diversity Preservation in Genetic Algorithm by Lifespan Control. ICNC-FSKD 2019: 627-635 - 2018
- [c20]Takaya Ueda, Masataka Seo, Ikuko Nishikawa:
Data Correction by a Generative Model with an Encoder and its Application to Structure Design. ICANN (3) 2018: 403-413 - [c19]Takaya Ueda, Masataka Seo, Ikuko Nishikawa:
Automatic Correction by Deep Generative Model and its Application to Building Construction. ICNC-FSKD 2018: 441-444 - 2017
- [j6]Sihai Yang, Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen:
Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans. J. Comput. Biol. 24(5): 436-446 (2017) - 2016
- [j5]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: 8 (2016) - 2015
- [c18]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: 554-558 - [c17]Supaphon Kamon, Tung Duc Nguyen, Tomohiro Harada, Ruck Thawonmas, Ikuko Nishikawa:
Improving heuristic search for RTS-game unit micromanagement using reinforcement learning. GCCE 2015: 25-26 - 2014
- [c16]Masayoshi Suzuki, Ryuji Nakatani, Ikuko Nishikawa:
A Mechanism Design of Solar Power Trading by Autonomous Agent based on Reinforcement Learning. IDT/IIMSS/STET 2014: 392-401 - 2013
- [c15]Tomoki Ishino, Ikuko Nishikawa, Yukako Tohsato, Satoshi Fukuchi, Ken Nishikawa:
Prediction of protein phosphorylation sites by support vector machines. BMEI 2013: 817-821 - 2012
- [j4]Yen-Wei Chen, Ikuko Nishikawa, Shinichi Tamura, Bao-Liang Lu, Huiyan Jiang:
Computational Intelligence in Biomedical Science and Engineering. Comput. Intell. Neurosci. 2012: 160356:1-160356:2 (2012) - [j3]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: 795291:1-795291:10 (2012)
2000 – 2009
- 2009
- [c14]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: 1193-1196 - [c13]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: 1209-1212 - 2008
- [c12]Hirotaka Sakamoto, Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa:
Prediction of the O-Glycosylation by Support Vector Machines and Semi-supervised Learning. ICONIP (1) 2008: 986-994 - [c11]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: 717-720 - [c10]Kazutoshi Sakakibara, Yoshiro Fukui, Ikuko Nishikawa:
Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System. ISDA (3) 2008: 115-120 - [c9]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: 121-126 - 2007
- [c8]Xuemei Yang, Yen-Wei Chen, Masahiro Ito, Ikuko Nishikawa:
Principal Component Analysis of O-linked Glycosylation Sites in Protein Sequence. IIH-MSP 2007: 121-126 - [c7]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: 327-332 - [c6]Yen-Wei Chen, Xuemei Yang, Masahiro Ito, Ikuko Nishikawa:
Pattern Analysis and Prediction of O -Linked Glycosylation Sites in Protein by Principal Component Subspace Analysis. KES (2) 2007: 326-334 - [c5]Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Kazutoshi Sakakibara, Masahiro Ito:
Prediction of the O -Glycosylation with Secondary Structure Information by Support Vector Machines. KES (2) 2007: 335-343 - 2006
- [c4]Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara:
Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks. IJCNN 2006: 459-464 - [c3]Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Takeshi Iritani, Kazutoshi Sakakibara, Masahiro Ito:
Prediction of the O-glycosylation Sites in Protein by Layered Neural Networks and Support Vector Machines. KES (2) 2006: 953-960 - 2005
- [j2]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): 111-120 (2005) - [c2]Ikuko Nishikawa, Kazutoshi Sakakibara, Takeshi Iritani, Yasuaki Kuroe:
2 types of complex-valued Hopfield networks and the application to a traffic signal control. IJCNN 2005: 782-787 - 2004
- [c1]Ikuko Nishikawa, Yasuaki Kuroe:
Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System. ICONIP 2004: 122-129
1990 – 1999
- 1993
- [j1]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): 483-490 (1993)
Coauthor Index
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