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Naoki Ishihama
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2020 – today
- 2024
- [c9]Takeharu Eda, Monikka Roslianna Busto, Takuro Udagawa, Naoki Ishihama, Keiichi Tabata, Yoshinori Matsuo, Ikuo Yamasaki:
Technical Challenges for AI in Space Data Centers. IGARSS 2024: 1733-1735 - 2023
- [c8]Kazunori Someya, Toshiaki Aoki, Naoki Ishihama:
Compaction of Spacecraft Operational Models with Metamodeling Domain Knowledge. ENASE 2023: 102-113 - 2022
- [c7]Shintaro Hashimoto, Haruhiko Higuchi, Naoki Ishihama:
Research on Data Sufficiency and Model Validity toward AI for Critical Systems. SACI 2022: 215-220 - 2020
- [c6]Tomoyuki Myojin
, Shintaro Hashimoto, Naoki Ishihama:
Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling. ICANN (2) 2020: 27-38 - [c5]Mitsuaki Tsuji, Toshinori Takai, Kazuki Kakimoto, Naoki Ishihama, Masafumi Katahira, Hajimu Iida:
Prioritizing Scenarios based on STAMP/STPA Using Statistical Model Checking. ICST Workshops 2020: 124-132
2010 – 2019
- 2019
- [c4]Tomoyuki Myojin
Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout. ICANN (3) 2019: 68-80 - 2018
- [c3]Shintaro Hashimoto, Yohei Sugimoto, Ko Hamamoto, Naoki Ishihama:
Ship Classification from SAR Images Based on Deep Learning. IntelliSys (1) 2018: 18-34
2000 – 2009
- 2004
- [c2]Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama:
Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns. PAKDD 2004: 240-244 - [c1]Minoru Nakatsugawa, Takehisa Yairi, Naoki Ishihama, Koichi Hori, Shinichi Nakasuka, Kazuo Machida:
Adaptive limit checking for spacecraft telemetry data using regression tree learning. SMC (6) 2004: 5130-5135
Coauthor Index
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last updated on 2024-09-28 02:20 CEST by the dblp team
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