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機械学習・説明可能AI(山口 晃広)
Showing the original Japanese · View translation
時系列データを分類するAIを解釈できるようにする研究室。

AboutAbout the lab
説明可能AIと時系列データの研究。
山口晃広教授は、
九州大学マス・フォア・インダストリ研究所の
研究者情報に
Key terms
- 説明可能AI
(XAI) - 学習済みの
分類器を 人が 解釈できるように する 技術。 高い 信頼性・安全性が 求められる 産業分野で 必要と される - 時系列データ
- 時間の
順に 並んだ データ。 IoTの 普及で、 AIで クラスを 分類する 技術の 重要性が 高まっている
ResearchResearch themes
山口教授は、
MembersFaculty
- Professor山口 晃広
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数値解析・数値流体力学The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Meteorological station 2” Jetam2 / CC BY-SA 4.0 (cropped)
- Related lab (〈機械学習・
説明可能AI〉): “Unsupervised-Learning” Rakshath / CC BY-SA 4.0 (cropped) - Related lab (〈数値解析・数値流体力学〉): “Biomechanics-Femur-Fracture-Nail-Internal Fixation-CAD-FEM” Fry72 Karel Frydrýšek, Tomáš Halo, Daniel Čepica / CC BY-SA 4.0 (cropped)
- Related lab (数値解析・数値流体力学
(田上 大助) ): “AbsoluteErrorNumericalDifferentiationExample” Berland / Public domain (cropped)
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