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Takeshi Sakumoto

3 papers hereh-index 327 citations5 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.DL1
  • cs.IR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedCommunity Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks

9 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 1 cited

Extraction of Research Objectives, Machine Learning Model Names, and Dataset Names from Academic Papers and Analysis of Their Interrelationships Using LLM and Network Analysis

S. Nishio, H. Nonaka, N. Tsuchiya +6

Machine learning is widely utilized across various industries. Identifying the appropriate machine learning models and datasets for specific tasks is crucial for the effective indu…

cs.DL2019★ 9 cited

Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks

Kensei Nakai, Hirofumi Nonaka, Asahi Hentona +5

Scoring patent documents is very useful for technology management. However, conventional methods are based on static models and, thus, do not reflect the growth potential of the te…

cs.IR2019★ 2 cited

Community Detection and Growth Potential Prediction from Patent Citation Networks

Asahi Hentona, Takeshi Sakumoto, Hugo Alberto Mendoza España +6

The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practic…

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