Zobrazeno 1 - 10
of 2 303
pro vyhledávání: '"P Clemmensen"'
Autor:
Due, Smilla, Das, Sneha, Andersen, Marianne, López, Berta Plandolit, Nexø, Sniff Andersen, Clemmensen, Line
Large Language Models (LLMs) have an increasing impact on our lives with use cases such as chatbots, study support, coding support, ideation, writing assistance, and more. Previous studies have revealed linguistic biases in pronouns used to describe
Externí odkaz:
http://arxiv.org/abs/2406.10133
Modeling non-stationary data is a challenging problem in the field of continual learning, and data distribution shifts may result in negative consequences on the performance of a machine learning model. Classic learning tools are often vulnerable to
Externí odkaz:
http://arxiv.org/abs/2404.16656
Prototypical self-explainable classifiers have emerged to meet the growing demand for interpretable AI systems. These classifiers are designed to incorporate high transparency in their decisions by basing inference on similarity with learned prototyp
Externí odkaz:
http://arxiv.org/abs/2403.09383
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., automatically collect game statistics, or replay actions of specific int
Externí odkaz:
http://arxiv.org/abs/2402.02545
Autor:
Skat-Rørdam, Harald Vilhelm, Knudsen, Mia Hang, Knudsen, Simon Nørby, Lønfeldt, Nicole Nadine, Das, Sneha, Clemmensen, Line Katrine Harder
We aim to investigate if we can improve predictions of stress caused by OCD symptoms using pre-trained models, and present our statistical analysis plan in this paper. With the methods presented in this plan, we aim to avoid bias from data knowledge
Externí odkaz:
http://arxiv.org/abs/2312.09052
Autor:
Anna-Rosa Cecilie Mora-Jensen, Line Katrine Harder Clemmensen, Manja Gersholm Grønberg, Eli R. Lebowitz, Daniel S. Quintana, Niklas Rye Jørgensen, Charlotte Sewerin Larsen, Lasse Kristoffer Bak, Gitte Lund Christensen, Linea Pretzmann, Valdemar Uhre, Sofie Heidenheim Christensen, Camilla Uhre, Nicoline Løcke Jepsen Korsbjerg, Christine Lykke Thoustrup, Julie Hagstrøm, Melanie Ritter, Kerstin Jessica Plessen, Anne Katrine Pagsberg, Nicole Nadine Lønfeldt
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The oxytocin system has been thought to contribute to obsessive-compulsive disorder (OCD). Few studies, only involving adults, have investigated this hypothesis and have found inconsistent results regarding oxytocin system activity and OCD.
Externí odkaz:
https://doaj.org/article/146a434a12244e448863dd3d23bc4d0b
Autor:
Lenette Knudsen, Gregers Stig Andersen, Lene Eide Joensen, Lars Jorge Diaz, Kim Katrine Bjerring Clemmensen, Lone Lindegaard Nordin, Anna Jessen, Mette Andersen Nexø, Kirsten Lomborg, Marit Eika Jørgensen, Dorte Lindqvist Hansen
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Individuals with diabetes and co-existing psychiatric disorders have more diabetes complications and lower life expectancy than those with diabetes but no co-existing psychiatric disorders. Psychiatric health professionals may hav
Externí odkaz:
https://doaj.org/article/3b9ab3bec835429d8e5e21b35f522f15
On Crowdsourcing-design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms
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 speech recognition, hearing aids, broadcasting and telephony. The eva
Externí odkaz:
http://arxiv.org/abs/2306.01538
Autor:
Dang, Lauren E, Fong, Edwin, Tarp, Jens Magelund, Clemmensen, Kim Katrine Bjerring, Ravn, Henrik, Kvist, Kajsa, Buse, John B, van der Laan, Mark, Petersen, Maya
Introduction: Increasing interest in real-world evidence has fueled the development of study designs incorporating real-world data (RWD). Using the Causal Roadmap, we specify three designs to evaluate the difference in risk of major adverse cardiovas
Externí odkaz:
http://arxiv.org/abs/2305.07647
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 limitations for its application in real-life settings. This paper revi
Externí odkaz:
http://arxiv.org/abs/2304.14186