162 citations
- Freie Universität BerlinDE10 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE9 papers
- University of Veterinary Medicine ViennaAT9 papers
- Technical University of MunichDE8 papers
- Flensburg University of Applied SciencesDE7 papers
- The Schwarzman Animal Medical CenterUS5 papers
- Medical University of ViennaAT4 papers
- Europa-Universität FlensburgDE3 papers
- IDEXX Laboratories (Germany)DE3 papers
- Michigan State UniversityUS3 papers
- Ross University School of Veterinary MedicineKN3 papers
- Universitätsklinikum ErlangenDE3 papers
47 papers
Location-Aware Language Models via Secondary Embeddings
Gokul Srinivasagan, Munir Georges
Pretrained transformer-based language models achieve strong performance across a wide range of NLP tasks but remain limited in encoding geo-locational semantics, leading to subopti…
Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
Emely Rosbach, Jonas Ammeling, Jonathan Ganz +4
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts…
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardina
In this paper, a probabilistic space-time representation of complex traffic scenarios is predicted using machine learning algorithms. Such a representation is significant for all a…
Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning
Parthasarathy Nadarajan, Michael Botsch
This paper presents a method to predict the evolution of a complex traffic scenario with multiple objects. The current state of the scenario is assumed to be known from sensors and…
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…
Comparison of Localization Algorithms between Reduced-Scale and Real-Sized Vehicles Using Visual and Inertial Sensors
Tobias Kern, Leon Tolksdorf, Christian Birkner
Physically reduced-scale vehicles are emerging to accelerate the development of advanced automated driving functions. In this paper, we investigate the effects of scaling on self-l…