Fujiwara Kantaro

フジワラカンタロウ | Fujiwara Kantaro

Affiliation and department：
Job title： Associate Professor
Other affiliations (2)：

The University of Tokyo International Research Center for Neurointelligence Associate Professor
The University of Tokyo The Graduate School of Information Science and Technology Associate Professor

Homepage URL (1)： https://kaken.nii.ac.jp/d/r/00557704.ja.html

Research field (1)： Sensitivity (kansei) informatics

Research keywords (1)： Mathematical Engineering, Theoretical Neuroscience

Research theme for competitive and other funds (11)：

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Papers (82)：

Anubhav, Kantaro Fujiwara. Across Trials vs Subjects vs Contexts: A Multi-Reservoir Computing Approach for EEG Variations in Emotion Recognition. International Conference on Multimodel Interaction. 2024. 518-525
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 148. 1-9
Shuhan Zheng, Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Diffusion model for relational inference. CoRR. 2024. abs/2401.16755
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification. Lecture Notes in Computer Science. 2023. abs/2307.01237
Taiki Yamada, Kantaro Fujiwara. Topological Inference of State Space as Effective Goal of Dynamics Learning. Proceedings of the 2023 International Symposium on Nonlinear Theory and its Applications. 2023

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MISC (109)：

田村浩人, 藤原寛太郎, 合原一幸, 田中剛平. リザバー状態のマハラノビス距離を用いた高効率時系列分類. 日本神経回路学会全国大会講演論文集. 2023
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Identity Recognition with Bidirectional Echo State Networks from Continuous Blood Pressure Data. 日本神経回路学会全国大会講演論文集. 2023
藤原寛太郎. 未病データベースの基礎設計. 生体の科学. 2023. 74. 2. 158-162
野村亮太, 藤原寛太郎, 池口徹. カオス応答を示すIzhikevichニューロンの発火率を用いた共通入力の再構成. 電子情報通信学会技術研究報告. 2022. 122. 280. 91-96
Hiroto Tamura, Gouhei Tanaka, Kantaro Fujiwara. Memory Saving Time Series Anomaly Detection Using Mahalanobis Distance of Reservoir States. Neuro2022. 2022. 2O09a1-02

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Books (2)：

Lectures and oral presentations (121)：

Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification
(International Conference on Neural Information Processing (ICONIP2023) 2023)
Topological Inference of State Space as Effective Goal of Dynamics Learning
(International Symposium on Nonlinear Theory and its Application 2023)
An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data
(International Conference on Artificial Neural Networks 2023)
リザバー状態のマハラノビス距離を用いた高効率時系列分類
(日本神経回路学会 2023)
Identity Recognition with Bidirectional Echo State Networks from Continuous Blood Pressure Data
(日本神経回路学会 2023)

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Professional career (1)：

Work history (5)：

Awards (2)：

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