activity
20192023
most citedSystematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression

118 citations · 195 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 18 cited

Building Blocks for a Complex-Valued Transformer Architecture

Florian Eilers, Xiaoyi Jiang

Most deep learning pipelines are built on real-valued operations to deal with real-valued inputs such as images, speech or music signals. However, a lot of applications naturally m…

cs.SE2020

The PHOTON Wizard -- Towards Educational Machine Learning Code Generators

Ramona Leenings, Nils Ralf Winter, Kelvin Sarink +4

Despite the tremendous efforts to democratize machine learning, especially in applied-science, the application is still often hampered by the lack of coding skills. As we consider…

cs.LG2020★ 35 cited

PHOTONAI -- A Python API for Rapid Machine Learning Model Development

Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz +12

PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development. It functions as a unifying framework allowing the user to easily access…

q-bio.NC2019★ 118 cited

Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression

Claas Flint, Micah Cearns, Nils Opel +15

We currently observe a disconcerting phenomenon in machine learning studies in psychiatry: While we would expect larger samples to yield better results due to the availability of m…

q-bio.NC2019★ 24 cited

Biological sex classification with structural MRI data shows increased misclassification in transgender women

Claas Flint, Katharina Förster, Sophie A. Koser +16

Transgender individuals (TIs) show brain structural alterations that differ from their biological sex as well as their perceived gender. To substantiate evidence that the brain str…