E-LIB Suche - Ergebnisse für: Furukawa, Tetsuo

1

Recurrent Pericardial Effusion Resulting From Right Ventric..:

Oka, Takafumi ; Ozu, Kentaro ; Sekihara, Takayuki...
JACC: Case Reports. 29 (2024) 13 - p. 102378 , 2024

Link: https://doi.org/10.1016/..

2

Visual analytics of set data for knowledge discovery and me..:

Watanabe, Ryuji ; Ishibashi, Hideaki ; Furukawa, Tetsuo
Decision Support Systems. 152 (2022) - p. 113635 , 2022

Link: https://doi.org/10.1016/..

3

Low-rank kernel decomposition for scalable manifold modelin:

, In: 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS),

Miyazaki, Kazuki ; Takano, Shuhei ; Tsuno, Ryo.. - p. 1-6 , 2022

Link: https://doi.org/10.1109/..

4

Multi-task manifold learning for small sample size datasets:

Ishibashi, Hideaki ; Higa, Kazushi ; Furukawa, Tetsuo
Neurocomputing. 473 (2022) - p. 138-157 , 2022

Link: https://doi.org/10.1016/..

5

Nicolaas Tulp:

, In: Child Neurology,

Furukawa, Tetsuo - p. 10-11 , 2021

Link: https://doi.org/10.1016/..

6

List of Contributors:

, In: Child Neurology,

Aaen, Gregory ; Abroms, Israel F. ; Ådén, Ulrika... - p. ix-xi , 2021

Link: https://doi.org/10.1016/..

7

Simultaneous Visualization of Documents, Words and Topics b..:

, In: 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS),

Noguchi, Kazuki ; Ishida, Takuro ; Furukawa, Tetsuo - p. 1-4 , 2020

Link: https://doi.org/10.1109/..

8

Multi-task Manifold Learning Using Hierarchical Modeling fo..:

, In: Neural Information Processing; Lecture Notes in Computer Science,

Ishibashi, Hideaki ; Higa, Kazushi ; Furukawa, Tetsuo - p. 388-398 , 2018

Link: https://doi.org/10.1007/..

9

Hierarchical Tensor Manifold Modeling for Multi-Group Analy..:

ISHIBASHI, Hideaki ; ERA, Masayoshi ; FURUKAWA, Tetsuo
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E101.A (2018) 11 - p. 1745-1755 , 2018

Link: https://doi.org/10.1587/..

10

Simultaneous Analysis of Subjective and Objective Data Usin..:

, In: Neural Information Processing; Lecture Notes in Computer Science,

Yoneda, Keisuke ; Nakano, Kimihiro ; Horio, Keiichi. - p. 24-35 , 2018

Link: https://doi.org/10.1007/..

11

Hierarchical Tensor SOM Network for Multilevel–Multigroup A..:

Ishibashi, Hideaki ; Furukawa, Tetsuo
Neural Processing Letters. 47 (2017) 3 - p. 1011-1025 , 2017

Link: https://doi.org/10.1007/..

12

Tensor SOM and tensor GTM: Nonlinear tensor analysis by top..:

Iwasaki, Tohru ; Furukawa, Tetsuo
Neural Networks. 77 (2016) - p. 107-125 , 2016

Link: https://doi.org/10.1016/..

13

Quantitative Assessment of Fluid Accumulation Using Bioelec..:

Sakaguchi, Taiki ; Yasumura, Kaori ; Nishida, Hiroki...
Circulation Journal. 79 (2015) 12 - p. 2616-2622 , 2015

Link: https://doi.org/10.1253/..

14

The Efficacy of Tolvaptan in Acute Heart Failure with Nephr..:

Sakaguchi, Taiki ; Furukawa, Tetsuo ; Shinouchi, Kazuya...
Journal of Cardiac Failure. 19 (2013) 10 - p. S147 , 2013

Link: https://doi.org/10.1016/..

15

Self Evolving Modular Network:

TOKUNAGA, Kazuhiro ; KAWABATA, Nobuyuki ; FURUKAWA, Tetsuo
IEICE Transactions on Information and Systems. E95.D (2012) 5 - p. 1506-1518 , 2012

Link: https://doi.org/10.1587/..