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M. Taki

12 papers hereh-index 8332 citations20 works total

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

author position
  • sole author1
  • middle author4
  • last author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV3
  • astro-ph.HE1
  • cs.AI1
  • nucl-ex1
  • q-bio.NC1
same name
  • M. Taki — 24 papers, h 23
  • M. Taki — 16 papers, h 21
  • M. Taki — 2 papers, h 7
  • M. Taki — 1 paper, h 3
  • M. Taki — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedSequencer: Deep LSTM for Image Classification

54 citations · 79 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

q-bio.NC2021

Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network

Teppei Matsui, Masato Taki, Trung Quang Pham +2

Deep neural networks (DNNs) can accurately decode task-related information from brain activations. However, because of the nonlinearity of the DNN, the decisions made by DNNs are h…

cs.CV2021★ 1 cited

RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?

Yuki Tatsunami, Masato Taki

For the past ten years, CNN has reigned supreme in the world of computer vision, but recently, Transformer has been on the rise. However, the quadratic computational cost of self-a…

astro-ph.HE2021

Machine learning application to Fermi-LAT data: sharpening all-sky map and emphasizing variable sources

Shogo Sato, Jun Kataoka, Soichiro Ito +6

A novel application of machine-learning (ML) based image processing algorithms is proposed to analyze an all-sky map (ASM) obtained using the Fermi Gamma-ray Space Telescope. An at…

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