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researcher

Hideaki Imaizumi

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • stat.ML2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedImproving image classifiers for small datasets by learning rate adaptations

6 citations · 6 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020

Assessing Robustness of Deep learning Methods in Dermatological Workflow

Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi +1

This paper aims to evaluate the suitability of current deep learning methods for clinical workflow especially by focusing on dermatology. Although deep learning methods have been a…

stat.ML2019★ 6 cited

Improving image classifiers for small datasets by learning rate adaptations

Sourav Mishra, Toshihiko Yamasaki, Hideaki Imaizumi

Our paper introduces an efficient combination of established techniques to improve classifier performance, in terms of accuracy and training time. We achieve two-fold to ten-fold s…

stat.ML2018

Supervised classification of Dermatological diseases by Deep learning

Sourav Mishra, Toshihiko Yamasaki, Hideaki Imaizumi

This paper introduces a deep-learning based efficient classifier for common dermatological conditions, aimed at people without easy access to skin specialists. We report approximat…

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