activity
20182023
most citedUtilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

228 citations · 311 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DL2023★ 1 cited

PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases

Louise Bloch, Johannes Rückert, Christoph M. Friedrich

The growing impact of preprint servers enables the rapid sharing of time-sensitive research. Likewise, it is becoming increasingly difficult to distinguish high-quality, peer-revie…

cs.CV2023★ 1 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…

cs.CV2022★ 17 cited

Biomedical image analysis competitions: The state of current participation practice

Matthias Eisenmann, Annika Reinke, Vivienn Weru +352

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…

cs.CL2022★ 8 cited

Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback

Ahmad Idrissi-Yaghir, Henning Schäfer, Nadja Bauer +1

Understanding customer feedback is becoming a necessity for companies to identify problems and improve their products and services. Text classification and sentiment analysis can p…

cs.LG2022★ 27 cited

Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets

Louise Bloch, Christoph M. Friedrich

Purpose: Hard-to-interpret Black-box Machine Learning (ML) were often used for early Alzheimer's Disease (AD) detection. Methods: To interpret eXtreme Gradient Boosting (XGBoost),…

cs.CV2021★ 20 cited

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers

Louise Bloch, Raphael Brüngel, Christoph M. Friedrich

Diabetic foot ulcers are a common manifestation of lesions on the diabetic foot, a syndrome acquired as a long-term complication of diabetes mellitus. Accompanying neuropathy and v…

cs.CV2020★ 9 cited

Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation

Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18

There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…

cs.CL2018★ 228 cited

Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

Marcel Trotzek, Sven Koitka, Christoph M. Friedrich

Depression is ranked as the largest contributor to global disability and is also a major reason for suicide. Still, many individuals suffering from forms of depression are not trea…