Ikuko Nishikawa

Daisuke Naka, Masataka Seo, Kazutoshi Sakakibara, 2018, 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Automatic Correction by Deep Generative Model and its Application to Building Construction

Masataka Seo, Takaya Ueda, Ikuko Nishikawa, 2018, 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

An Incremental Approach for Storage and Delivery Planning Problems

Yajie Tian, Ikuko Nishikawa, Kazutoshi Sakakibara, 2012 .

Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward

Tetsuo Sawaragi, Kazutoshi Sakakibara, Tadahiro Taniguchi, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Hebbian Learning of a Behavior Network and its Application to a Collision Avoidance by an Autonomous Agent

Keisuke Kondo, Ikuko Nishikawa, K. Kondo, 2002 .

Prediction of the O -Glycosylation with Secondary Structure Information by Support Vector Machines

Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa, 2007, KES.

Data Correction by a Generative Model with an Encoder and its Application to Structure Design

Masataka Seo, Takaya Ueda, Ikuko Nishikawa, 2018, ICANN.

Improving heuristic search for RTS-game unit micromanagement using reinforcement learning

Ruck Thawonmas, Tomohiro Harada, Tung Duc Nguyen, 2015, 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE).

Simulated annealing method based on recursive problem decomposition for vehicle routing problems

Kazutoshi Sakakibara, Takahiro Tsuda, Ikuko Nishikawa, 2010, Proceedings of SICE Annual Conference 2010.

Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System

Kazutoshi Sakakibara, Ikuko Nishikawa, Yoshiro Fukui, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation

Takaya Ueda, Ikuko Nishikawa, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Prediction of O-linked glycosylation sites in protein by independent component analysis

Yen-Wei Chen, Ikuko Nishikawa, Chu-Zheng Wang, 2010, 2010 2nd International Conference on Signal Processing Systems.

Genetic Algorithm Application to a Scheduling Problem in the Plastic Injection Molding Process

Hidekatsu Tokumaru, Ikuko Nishikawa, Yuuji Azuma, 1998 .

Detection and recognition of road signs using simple layered neural networks

Ikuko Nishikawa, N. Yabuki, H. Ohara, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Line Balancing Using a Hopfield Network

Yasunori Hashimoto, Ikuko Nishikawa, Tohru Watanabe, 1993 .

Optimal Power Usage by Stochastic Programming

Masataka Seo, Kazutoshi Sakakibara, Ikuko Nishikawa, 2018 .

Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks

Kazutoshi Sakakibara, Ikuko Nishikawa, Takeshi Iritani, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Area-wide Control of Traffic Signals by Phase Model

Hajime Kita, Ikuko Nishikawa, Shigeto Nakazawa, 2003 .

Phase dynamics of complex-valued neural networks and its application to traffic signal control

Yasuaki Kuroe, Kazutoshi Sakakibara, Ikuko Nishikawa, 2005, Int. J. Neural Syst..

Mixed Integer Programming Model and Incremental Optimization for Delivery and Storage Planning Using Truck Terminals

Yajie Tian, Ikuko Nishikawa, Kazutoshi Sakakibara, 2011 .

Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks

Yen-Wei Chen, Xian-Hua Han, Masahiro Ito, 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Computational Intelligence in Biomedical Science and Engineering

Yen-Wei Chen, Shinichi Tamura, Huiyan Jiang, 2012, Comput. Intell. Neurosci..

Analysis of Time Series Anomalies Using Causal InfoGAN and Its Application to Biological Data

Masataka Seo, Yukako Tohsato, Takaya Ueda, 2019, ICNC-FSKD.

Independent component analysis-based prediction of O-Linked glycosylation sites in protein using multi-layered neural networks

Yen-Wei Chen, Ikuko Nishikawa, Xian-Hua Han, 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

A Stochastic Unsupervised Learning Algorithm and Its Application to an Autonomous Agent

Ikuko Nishikawa, Shuji Uchida, 2001 .

電力融通ネットワークに対する線形計画モデルを用いた効率の解析と感度分析;電力融通ネットワークに対する線形計画モデルを用いた効率の解析と感度分析;Efficiency and Sensitivity Analysis on Distributed Solar Power Network based on Linear Programming Model

Ikuko Nishikawa, Kazutoshi Sakakibara, Masayoshi Suzuki, 2016 .

A Mechanism Design of Solar Power Trading by Autonomous Agent based on Reinforcement Learning

Ikuko Nishikawa, Masayoshi Suzuki, Ryuji Nakatani, 2014, IDT/IIMSS/STET.

Distributed Metaheuristic Solution Based on Solution Space Decomposition for Route Planning Problems

Hisashi Tamaki, Ikuko Nishikawa, Kazutoshi Sakakibara, 2008 .

Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System

Yasuaki Kuroe, Ikuko Nishikawa, 2004, ICONIP.

Decomposition model of vehicle routing problem and hybrid approach mixing branch-and-bound techniques and meta-heuristics

Kazutoshi Sakakibara, Ikuko Nishikawa, Muneyoshi Iyama, 2009, 2009 ICCAS-SICE.

Estimation of functional connections in the premotor center of Bombyx mori using backpropagation

Ryohei Kanzaki, Ikuko Nishikawa, Ryota Kobayashi, 2010, Neuroscience Research.

Enhancement and detection of lung nodules with Multiscale filters in CT images

Yen-Wei Chen, Xian-Hua Han, Masahiro Ito, 2008, 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Nuclear detection in 4D microscope images of a developing embryo using an enhanced probability map of top-ranked intensity-ordered descriptors

Yen-Wei Chen, Xian-Hua Han, Yukako Tohsato, 2016, IPSJ Transactions on Computer Vision and Applications.

Nuclear detection in 4D microscope images using enhanced probability map of top-ranked intensity-ordered descriptors

Yen-Wei Chen, Yukako Tohsato, Ikuko Nishikawa, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data

Yukako Tohsato, Takaya Ueda, Ikuko Nishikawa, 2020, ICANN.

Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations

Daisuke Miyamoto, Ryohei Kanzaki, Yohei Sato, 2012, Comput. Intell. Neurosci..

Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion

Kazutoshi Sakakibara, Kohei Hayashi, Ikuko Nishikawa, 2007, 2007 International Joint Conference on Neural Networks.

A Method of Multiobjective Genetic Algorithms

Ikuko Nishikawa, Keisuke Nishide, 2002 .

A model for feature linking via collective oscillations in the primary visual cortex

Toshio Aoyagi, Yoshiki Kuramoto, Ikuko Nishikawa, 2004, Biological Cybernetics.

Job-Shop Scheduling Using a Neural Network to Estimate Margins to Due-Dates

T. Watanabe, Ikuko Nishikawa, Y. Hashimoto, 1995 .

Principal Component Analysis of O-linked Glycosylation Sites in Protein Sequence

Yen-Wei Chen, Masahiro Ito, Ikuko Nishikawa, 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

A simple non-synaptic memory mechanism

Ryohei Kanzaki, Ikuko Nishikawa, Tomoki Kazawa, 2010, Neuroscience Research.

Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans

Yen-Wei Chen, Xian-Hua Han, Yukako Tohsato, 2017, J. Comput. Biol..

Prediction of the O-glycosylation by Support Vector Machines and Characteristics of the Crowded and Isolated O-glycosylation Sites

Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa, 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Hybrid meta-heuristic approaches for vehicle routing problems based on the problem decomposition

Kazutoshi Sakakibara, Takahiro Tsuda, Ikuko Nishikawa, 2010, 2010 World Automation Congress.

Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation

Ikuko Nishikawa, Seita Kono, Takaya Ueda, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Multi-agent simulation on relationship between individuals' travel behavior and residential choice behavior

Tadahiro Taniguchi, Ikuko Nishikawa, Yusuke Takahashi, 2010, Proceedings of SICE Annual Conference 2010.

Population coding is essential for rapid information processing in the moth antennal lobe

Katsunori Kitano, Ryohei Kanzaki, Ryota Kobayashi, 2013, Brain Research.

Neural network model carrying phase information with application to collective dynamics

Toshio Aoyagi, Yoshiki Kuramoto, Ikuko Nishikawa, 1992 .

The constraints satisfaction problem approach in the design of an architectural functional layout

Kazuyoshi Tateyama, Machi Zawidzki, Ikuko Nishikawa, 2011 .

Computational Prediction of O-linked Glycosylation Sites That Preferentially Map on Intrinsically Disordered Regions of Extracellular Proteins

Ikuko Nishikawa, Satoshi Fukuchi, Masahiro Ito, 2010, International journal of molecular sciences.