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2020 – today
- 2024
[j5]Takuma Nagao, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki, Michiko Inoue, Michihiro Shintani:
Wafer-Level Characteristic Variation Modeling Considering Systematic Discontinuous Effects. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(1): 96-104 (2024)- [j4]Tomoki Nakamura, Naoki Hayashi, Masahiro Inuiguchi:
Consensus-Based Distributed Exp3 Policy Over Directed Time-Varying Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(5): 799-805 (2024) - [j3]Riaz-ul-haque Mian
, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki, Michihiro Shintani:
Efficient Wafer-Level Spatial Variation Modeling for Multi-Site RF IC Testing. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(8): 1139-1150 (2024) - 2023
- [j2]Tomoki Nakamura, Naoki Hayashi, Masahiro Inuiguchi:
Cooperative Learning for Adversarial Multi-Armed Bandit on Open Multi-Agent Systems. IEEE Control. Syst. Lett. 7: 1712-1717 (2023) - [j1]Yuya Degawa, Toru Koizumi, Tomoki Nakamura, Ryota Shioya, Junichiro Kadomoto, Hidetsugu Irie, Shuichi Sakai:
A Principal Factor of Performance in Decoupled Front-End. IEICE Trans. Inf. Syst. 106(12): 1960-1968 (2023) - [c11]Takuma Nagao, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki, Michiko Inoue, Michihiro Shintani:
Wafer-Level Characteristic Variation Modeling Considering Systematic Discontinuous Effects. ASP-DAC 2023: 442-448 - [c10]Makoto Eiki, Tomoki Nakamura, Masuo Kajiyama, Michiko Inoue, Takashi Sato, Michihiro Shintani:
Improving Efficiency and Robustness of Gaussian Process Based Outlier Detection via Ensemble Learning. ITC 2023: 132-140 - 2022
- [c9]Toru Koizumi, Tomoki Nakamura, Yuya Degawa, Hidetsugu Irie, Shuichi Sakai, Ryota Shioya:
T-SKID: Predicting When to Prefetch Separately from Address Prediction. DATE 2022: 1389-1394 - [c8]Makoto Eiki, Tomoki Nakamura, Masuo Kajiyama, Michiko Inoue, Michihiro Shintani:
Accurate Failure Rate Prediction Based on Gaussian Process Using WAT Data. ITC 2022: 573-577 - [c7]Kaito Furuo, Kento Morita, Tomohito Hagi, Tomoki Nakamura, Kunihiro Asanuma, Akihiro Sudo, Tetsushi Wakabayashi:
Tumor segmentation using CNN for automatic diagnosis of bone tumor in X-ray image. SCIS/ISIS 2022: 1-5 - [c6]Yasuhide Nonaka, Kento Morita, Tomohito Hagi, Tomoki Nakamura, Kunihiro Asanuma, Akihiro Sudo, Katsunori Uchida, Tetsushi Wakabayashi:
CNN Based survivability prediction Using Pathological Image of Soft Tissue Tumor. SMC 2022: 1886-1890 - 2021
- [c5]Kaito Furuo, Kento Morita, Tomohito Hagi, Tomoki Nakamura, Tetsushi Wakabayashi:
Automatic benign and malignant estimation of bone tumors using deep learning. CYBCONF 2021: 30-33 - [c4]Tomoki Nakamura, Kazutaka Tomida, Shouta Kouno, Hidetsugu Irie, Shuichi Sakai:
Stochastic Iterative Approximation: Software/hardware techniques for adjusting aggressiveness of approximation. ICCD 2021: 74-82 - [c3]Yuya Degawa, Toru Koizumi, Tomoki Nakamura, Ryota Shioya, Junichiro Kadomoto, Hidetsugu Irie, Shuichi Sakai:
Accurate and Fast Performance Modeling of Processors with Decoupled Front-end. ICCD 2021: 88-92 - [c2]Michihiro Shintani, Riaz-ul-haque Mian, Michiko Inoue, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki:
Wafer-level Variation Modeling for Multi-site RF IC Testing via Hierarchical Gaussian Process. ITC 2021: 103-112 - [i1]Michihiro Shintani, Riaz-ul-haque Mian, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki, Michiko Inoue:
Wafer-level Variation Modeling for Multi-site RF IC Testing via Hierarchical Gaussian Process. CoRR abs/2111.01369 (2021)
2010 – 2019
- 2019
- [c1]Keita Isaka, Naoaki Tadami, A. Fujiwara, Tomoki Watanabe, M. Sugesawa, Y. Yamada, Hiroshi Yoshida, Tomoki Nakamura:
Study on Drilling Resistance Reduction of a Seafloor Robotic Explorer Based on the Drilling Properties of Underwater Ground. SII 2019: 718-723
Coauthor Index
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