21 citations · 29 across the 5 of their papers we have counts for
5 papers
Study on the Helpfulness of Explainable Artificial Intelligence
Tobias Labarta, Elizaveta Kulicheva, Ronja Froelian +3
Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or au…
Applying separative non-negative matrix factorization to extra-financial data
P Fogel, C Geissler, P Cotte +1
We present here an original application of the non-negative matrix factorization (NMF) method, for the case of extra-financial data. These data are subject to high correlations bet…
Evaluating Generic Auto-ML Tools for Computational Pathology
Lars Ole Schwen, Daniela Schacherer, Christian Geißler +1
Image analysis tasks in computational pathology are commonly solved using convolutional neural networks (CNNs). The selection of a suitable CNN architecture and hyperparameters is…
Online Bayesian inference for multiple changepoints and risk assessment
Olivier Sorba, C Geissler
The aim of the present study is to detect abrupt trend changes in the mean of a multidimensional sequential signal. Directly inspired by papers of Fernhead and Liu ([4] and [5]), t…
Graduated Optimization of Black-Box Functions
Weijia Shao, Christian Geißler, Fikret Sivrikaya
Motivated by the problem of tuning hyperparameters in machine learning, we present a new approach for gradually and adaptively optimizing an unknown function using estimated gradie…