5 citations · 5 across the 4 of their papers we have counts for
4 papers
FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class
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 the non-triviality of task heterogeneity with only a…
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…
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…
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…