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ORCIDToshiyuki Nakata 0001
Person information
- unicode name: 中田 登志之
- affiliation: University of Tokyo, Japan
Other persons with the same name
- Toshiyuki Nakata 0002
![[0000-0002-0378-2242]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0378-2242")
— Chiba University, Chiba, Japan
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Journal Articles
- 2020
[j5]Rie Shigetomi Yamaguchi, Toshiyuki Nakata, Ryosuke Kobayashi:
Redefine and Organize, 4th Authentication Factor, Behavior. Int. J. Netw. Comput. 10(2): 189-199 (2020)- 1995
- [j4]Tsutomu Maruyama, Yasushi Kanoh, Tetsuya Hirose, Kazuhiro Muramatsu, Toshiyuki Nakata, Yoshihiro Asano, Yu Inamura:
Architecture of a parallel machine: Cenju-3. Syst. Comput. Jpn. 26(14): 26-36 (1995) - 1992
- [j3]Tatsuoki Takeda, Keiji Tani, Toshihide Tsunematsu, Yasuaki Kishimoto, Gen'Ichi Kurita, Satoshi Matsushita, Toshiyuki Nakata:
Plasma simulator METIS for tokamak confinement and heating studies. Parallel Comput. 18(7): 743-765 (1992) - 1989
- [j2]Nobuhiko Koike, Toshiyuki Nakata, Nobuki Kajihara:
MAN-YO: Mixed level parallel logic simulation engine. Syst. Comput. Jpn. 20(10): 31-38 (1989) - 1988
- [j1]Nobuki Kajihara, Satoshi Matsushita, Toshiyuki Nakata, Nobuhiko Koike:
Parallel neural network simulation machine: Neuman. Neural Networks 1(Supplement-1): 544 (1988)
Conference and Workshop Papers
- 2024
- [c23]Tran Van Sang, Toshiyuki Nakata, Rie Shigetomi Yamaguchi, Mhd Irvan, Yoshihide Yoshimoto:
Sub-Batch Update Mechanism for Component-Wise Natural Gradient Descent. ICAAI 2024: 73-79 - 2022
- [c22]Tran Van Sang, Tran Phuong Thao, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Enhancing Boundary Attack in Adversarial Image Using Square Random Constraint. IWSPA@CODASPY 2022: 13-23 - [c21]Tran Van Sang, Rie Shigetomi Yamaguchi, Ryosuke Kobayashi, Toshiyuki Nakata:
Evaluating the Performance Acceleration of Generalized Linear Solver using Normal Equation on Three Architectures for Tall Skinny Datasets. CSCI 2022: 134-139 - [c20]Tran Van Sang, Rie Shigetomi Yamaguchi, Mhd Irvan, Toshiyuki Nakata:
Component-Wise Natural Gradient Descent on Deep Neural Networks. CSCI 2022: 183-188 - [c19]Tran Van Sang, Mhd Irvan, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization. CANDAR 2022: 66-75 - 2021
- [c18]Mhd Irvan, Tran Phuong Thao, Ryosuke Kobayashi, Toshiyuki Nakata, Rie Shigetomi Yamaguchi:
Learning from Smartphone Location Data as Anomaly Detection for Behavioral Authentication through Deep Neuroevolution. ICISSP 2021: 723-728 - 2020
- [c17]Mhd Irvan, Toshiyuki Nakata, Rie Shigetomi Yamaguchi:
User authentication based on smartphone application usage patterns through learning classifier systems. IEEE BigData 2020: 4462-4466 - [c16]Zicong Zhu, Tran Phuong Thao, Hoang-Quoc Nguyen-Son, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Enhancing A New Classification for IDN Homograph Attack Detection. DASC/PiCom/CBDCom/CyberSciTech 2020: 507-514 - [c15]Tran Phuong Thao, Mhd Irvan, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Self-enhancing GPS-Based Authentication Using Corresponding Address. DBSec 2020: 333-344 - [c14]Mhd Irvan, Tran Phuong Thao, Ryosuke Kobayashi, Toshiyuki Nakata, Rie Shigetomi Yamaguchi:
Predicting Smartphone Users' Future Locations through Deep Reinforcement Learning. CANDAR (Workshops) 2020: 120-124 - [c13]Zicong Zhu, Tran Phuong Thao, Hoang-Quoc Nguyen-Son, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Enhanced Classification Method for Homograph Attack Detection. CANDAR (Workshops) 2020: 380-386 - [c12]Tran Phuong Thao, Hoang-Quoc Nguyen-Son, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Boosting Homograph Attack Classification Using Ensemble Learning and N-gram Model. TrustCom 2020: 1983-1988 - 2019
- [c11]Rie Shigetomi Yamaguchi, Toshiyuki Nakata, Ryosuke Kobayashi:
Redefine and Organize, 4th Authentication Factor, Behavior. CANDAR Workshops 2019: 412-415 - [c10]Tran Van Sang, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Accelerating Solution of Generalized Linear Models by Solving Normal Equation Using GPGPU on a Large Real-World Tall-Skinny Data Set. SBAC-PAD 2019: 112-119 - 2006
- [c9]Heiko Ludwig, Toshiyuki Nakata, Oliver Wäldrich, Philipp Wieder, Wolfgang Ziegler:
Reliable Orchestration of Resources Using WS-Agreement. HPCC 2006: 753-762 - 1999
- [c8]Yasushi Kanoh, Masaaki Nakamura, Tetsuya Hirose, Takeo Hosomi, Hirokazu Takayama, Toshiyuki Nakata:
Message Passing Communication in a Parallel Computer Cenju-4. ISHPC 1999: 55-70 - 1997
- [c7]Koutaro Hachiya, Toshiyuki Saito, Toshiyuki Nakata, Norio Tanabe:
Enhancement of parallelism for tearing-based circuit simulation. ASP-DAC 1997: 493-498 - 1994
- [c6]Kazuhiro Muramatsu, Shun Doi, Takumi Washio, Toshiyuki Nakata:
Cenju-3 parallel computer and its application to CFD. ISPAN 1994: 318-325 - 1991
- [c5]Tsukasa Yamauchi, Akio Ishizuka, Toshiyuki Nakata, Nobuyuki Nishiguchi, Nobuhiko Koike:
PROTON: A Parallel Detailed Router on an MIMD Parallel Machine. ICCAD 1991: 340-343 - 1990
- [c4]Shigeru Takasaki, Nobuyoshi Nomizu, Yoshihiro Hirabayashi, Hiroshi Ishikura, Masahiro Kurashita, Nobuhiko Koike, Toshiyuki Nakata:
HAL III: function level hardware logic simulation. ICCD 1990: 167-170 - 1986
- [c3]Toshiyuki Nakata, Nobuhiko Koike:
A Functional Level Simulation Engine of MAN-YO: A Special Purpose Parallel Machine for Logic Design Automation. ISCA 1986: 202-208 - [c2]Shinji Tomita, Kiyoshi Shibayama, Toshiyuki Nakata, Shinji Yuasa, Hiroshi Hagiwara:
A Computer with Low-Level Parallelism QA-2: Its Applications to 3-D Graphics and Prolog/Lisp Machines. ISCA 1986: 280-289 - 1983
- [c1]Shinji Tomita, Kiyoshi Shibayama, Toshiaki Kitamura, Toshiyuki Nakata, Hiroshi Hagiwara:
A User-Microprogrammable, Local Host Computer With Low-Level Parallelism. ISCA 1983: 151-157
Informal and Other Publications
- 2022
- [i1]Tran Van Sang, Mhd Irvan, Rie Shigetomi Yamaguchi, Toshiyuki Nakata:
Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization. CoRR abs/2210.05268 (2022)
Coauthor Index
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