Konstantin Posch - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 4 from 4

2021

Correlated Parameters to Accurately Measure Uncertainty in Deep Neural NetworksKonstantin Posch, Jürgen Pilz. tnn, 32(3):1037-1051, 2021. [doi]

2020

A novel Bayesian approach for variable selection in linear regression modelsKonstantin Posch, Maximilian Arbeiter, Jürgen Pilz. csda, 144:106881, 2020. [doi]

Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational InferenceJan Steinbrener, Konstantin Posch, Jürgen Pilz. sensors, 20(21):6011, 2020. [doi]

2019

Hyperspectral fruit and vegetable classification using convolutional neural networksJan Steinbrener, Konstantin Posch, Raimund Leitner. cea, 162:364-372, 2019. [doi]

Sign in or sign up to see more results.

runs on WebDSL