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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 2023Show all

4 papers · 1 filter

nucl-ex2023★ 6 cited

Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning

A. Kasagi, W. Dou, V. Drozd +18

This study developed a novel method for detecting hypernuclear events recorded in nuclear emulsion sheets using machine learning techniques. The artificial neural network-based obj…

cs.LG2023★ 1 cited

iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer

Toshihiro Ota, Masato Taki

In the last few years, the success of Transformers in computer vision has stimulated the discovery of many alternative models that compete with Transformers, such as the MLP-Mixer.…

cs.CV2023

FFT-based Dynamic Token Mixer for Vision

Yuki Tatsunami, Masato Taki

Multi-head-self-attention (MHSA)-equipped models have achieved notable performance in computer vision. Their computational complexity is proportional to quadratic numbers of pixels…

cs.AI2023★ 3 cited

Example-Based Explainable AI and its Application for Remote Sensing Image Classification

Shin-nosuke Ishikawa, Masato Todo, Masato Taki +5

We present a method of explainable artificial intelligence (XAI), "What I Know (WIK)", to provide additional information to verify the reliability of a deep learning model by showi…

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