output
20132026
most citedThe Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling

273 citations

35 papers

cs.CY2026

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?

Jennifer Meyer, Olaf Köller, Thorben Jansen +33

With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…

cs.CV2025

Benchmarking Foundation Models for Mitotic Figure Classification

Jonas Ammeling, Jonathan Ganz, Emely Rosbach +4

The performance of deep learning models is known to scale with data quantity and diversity. In pathology, as in many other medical imaging domains, the availability of labeled imag…

cs.CV2025★ 12 cited

Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)

Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan +6

Assessment of the density of mitotic figures (MFs) in histologic tumor sections is an important prognostic marker for many tumor types, including breast cancer. Recently, it has be…

cs.CV2024★ 2 cited

Beyond accuracy: quantifying the reliability of Multiple Instance Learning for Whole Slide Image classification

Hassan Keshvarikhojasteh, Marc Aubreville, Christof A. Bertram +2

Machine learning models have become integral to many fields, but their reliability, defined as producing dependable, trustworthy, and domain-consistent predictions, remains a criti…

cs.CV2024★ 8 cited

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images

Jonathan Ganz, Christian Marzahl, Jonas Ammeling +20

The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is an important prognostic marker as it is a measure for tumor cell proliferation. However…

math.LO2024

Almost sure OTM-realizability

Merlin Carl

Combining the approaches made in works with Galeotti and Passmann, we define and study a notion of "almost sure" realizability with parameter-free ordinal Turing machines (OTMs). I…