Ikuko Nishikawa
Orcid: 0000-0003-4780-0155
According to our database1,
Ikuko Nishikawa
authored at least 33 papers
between 1993 and 2024.
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Bibliography
2024
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
2022
Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Analysis of Time Series Anomalies Using Causal InfoGAN and Its Application to Biological Data.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
2018
Automatic Correction by Deep Generative Model and its Application to Building Construction.
Proceedings of the 14th International Conference on Natural Computation, 2018
Data Correction by a Generative Model with an Encoder and its Application to Structure Design.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of <i>Caenorhabditis elegans</i>.
J. Comput. Biol., 2017
2016
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., 2016
2015
Improving heuristic search for RTS-game unit micromanagement using reinforcement learning.
Proceedings of the IEEE 4th Global Conference on Consumer Electronics, 2015
Nuclear detection in 4D microscope images using enhanced probability map of top-ranked intensity-ordered descriptors.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015
2014
A Mechanism Design of Solar Power Trading by Autonomous Agent based on Reinforcement Learning.
Proceedings of the Smart Digital Futures 2014, 2014
2013
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013
2012
Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations.
Comput. Intell. Neurosci., 2012
Comput. Intell. Neurosci., 2012
2009
Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks.
Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009
Prediction of the O-glycosylation by Support Vector Machines and Characteristics of the Crowded and Isolated O-glycosylation Sites.
Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009
2008
Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008
Prediction of the <i>O</i>-Glycosylation by Support Vector Machines and Semi-supervised Learning.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
2007
Prediction of the <i>O</i> -Glycosylation with Secondary Structure Information by Support Vector Machines.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
Pattern Analysis and Prediction of <i>O</i> -Linked Glycosylation Sites in Protein by Principal Component Subspace Analysis.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
2006
Prediction of the <i>O</i>-glycosylation Sites in Protein by Layered Neural Networks and Support Vector Machines.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Phase dynamics of complex-valued neural networks and its application to traffic signal control.
Int. J. Neural Syst., 2005
2004
Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System.
Proceedings of the Neural Information Processing, 11th International Conference, 2004
1993
A model for feature linking via collective oscillations in the primary visual cortex.
Biol. Cybern., 1993