Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns. - Takehisa Yairi; Shiro Ogasawara; Koichi Hori; Shinichi Nakasuka; Naoki Ishihama (PAKDD, 2004)

Adaptive limit checking for spacecraft telemetry data using regression tree learning. - Minoru Nakatsugawa; Takehisa Yairi; Naoki Ishihama; Koichi Hori; Shinichi Nakasuka; Kazuo Machida (SMC (6), 2004)

Ship Classification from SAR Images Based on Deep Learning. - Shintaro Hashimoto; Yohei Sugimoto; Ko Hamamoto; Naoki Ishihama (IntelliSys (1), 2018)

Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout. - Tomoyuki Myojin; Shintaro Hashimoto; Kenji Mori; Keisuke Sugawara; Naoki Ishihama (ICANN (3), 2019)

Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling. - Tomoyuki Myojin; Shintaro Hashimoto; Naoki Ishihama (ICANN (2), 2020)

Prioritizing Scenarios based on STAMP/STPA Using Statistical Model Checking. - Mitsuaki Tsuji; Toshinori Takai; Kazuki Kakimoto; Naoki Ishihama; Masafumi Katahira; Hajimu Iida (ICST Workshops, 2020)

Research on Data Sufficiency and Model Validity toward AI for Critical Systems. - Shintaro Hashimoto; Haruhiko Higuchi; Naoki Ishihama (SACI, 2022)

Compaction of Spacecraft Operational Models with Metamodeling Domain Knowledge. - Kazunori Someya; Toshiaki Aoki; Naoki Ishihama (ENASE, 2023)

Technical Challenges for AI in Space Data Centers. - Takeharu Eda; Monikka Roslianna Busto; Takuro Udagawa; Naoki Ishihama; Keiichi Tabata; Yoshinori Matsuo; Ikuo Yamasaki (IGARSS, 2024)