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T. Bernthaler

3 papers hereh-index 161.1k citations74 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.CV2
  • cond-mat.mtrl-sci1

identity via Semantic Scholar / OpenAlex

most citedMachine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function

Matias Oscar Volman Stern, Dominic Hohs, Andreas Jansche +2

Training of semantic segmentation models for material analysis requires micrographs and their corresponding masks. It is quite unlikely that perfect masks will be drawn, especially…

cs.CV2024

FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes

Anoop Kini, Andreas Jansche, Timo Bernthaler +1

FastCAR is a novel task consolidation approach in Multi-Task Learning (MTL) for a classification and a regression task, despite task heterogeneity with only subtle correlation. It…

cond-mat.mtrl-sci2022★ 5 cited

Machine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

Anoop Kini, Amit Kumar Choudhary, Dominic Hohs +6

The Fe14Nd2B-based permanent magnets are technologically sought-after for energy conversion due to their unparalleled high energy product (520 kJ/m3). For such 14:2:1 phases of dif…

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