1 citations · 3 across the 6 of their papers we have counts for
6 papers
Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen
Prototypical self-explainable classifiers have emerged to meet the growing demand for interpretable AI systems. These classifiers are designed to incorporate high transparency in t…
Classification of Tennis Actions Using Deep Learning
Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder Clemmensen
Recent advances of deep learning makes it possible to identify specific events in videos with greater precision. This has great relevance in sports like tennis in order to e.g., au…
On Crowdsourcing-design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms
Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen +1
Speech enhancement techniques improve the quality or the intelligibility of an audio signal by removing unwanted noise. It is used as preprocessing in numerous applications such as…
Pre-processing Blood-Volume-Pulse for In-the-wild Applications
Laurits Fromberg, Sneha Das, Line Katrine Harder Clemmensen
Blood-volume-pulse (BVP) is a biosignal commonly used in applications for non-invasive affect recognition and wearable technology. However, its predisposition to noise constitutes…
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry
Flavia D. Frumosu, Nicole N. Lønfeldt, A. -R. Cecilie Mora-Jensen +4
Observation is an essential tool for understanding and studying human behavior and mental states. However, coding human behavior is a time-consuming, expensive task, in which relia…
Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data
Rune D. Kjærsgaard, Manja G. Grønberg, Line K. H. Clemmensen
Data imbalance is common in production data, where controlled production settings require data to fall within a narrow range of variation and data are collected with quality assess…