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Seiji Okajima

3 papers hereh-index 336 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.HC1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedCrowdsourcing Evaluation of Saliency-based XAI Methods

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.HC2021★ 2 cited

Crowdsourcing Evaluation of Saliency-based XAI Methods

Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto +5

Understanding the reasons behind the predictions made by deep neural networks is critical for gaining human trust in many important applications, which is reflected in the increasi…

cs.LG2021

Inter-domain Multi-relational Link Prediction

Luu Huu Phuc, Koh Takeuchi, Seiji Okajima +4

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

cs.AI2019

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

Takahiro Kawamura, Shusaku Egami, Koutarou Tamura +11

A new challenge for knowledge graph reasoning started in 2018. Deep learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social pro…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.