Search Results for author: Seiji Okajima

Found 4 papers, 1 papers with code

Crowdsourcing Evaluation of Saliency-based XAI Methods

no code implementations27 Jun 2021 Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

In order to compare various saliency-based XAI methods quantitatively, several approaches for automated evaluation schemes have been proposed; however, there is no guarantee that such automated evaluation metrics correctly evaluate explainability, and a high rating by an automated evaluation scheme does not necessarily mean a high explainability for humans.

Explainable Artificial Intelligence (XAI)

Inter-domain Multi-relational Link Prediction

1 code implementation11 Jun 2021 Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

Multi-relational graph is a ubiquitous and important data structure, allowing flexible representation of multiple types of interactions and relations between entities.

Link Prediction

Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System

no code implementations22 Aug 2019 Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono, Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino, Seiji Okajima, Katsuhiko Murakami, Kunihiko Takamatsu, Aoi Sugiura, Shun Shiramatsu, Shawn Zhang, Kouji Kozaki

This paper presents a summary report of the first challenge held in 2018, including the knowledge graph construction, the techniques proposed for reasoning and/or estimation, the evaluation metrics, and the results.

graph construction

Cannot find the paper you are looking for? You can Submit a new open access paper.