Zobrazeno 1 - 10
of 7 791
pro vyhledávání: '"Keulen, A."'
Autor:
Wu, Boqian, Xiao, Qiao, Wang, Shunxin, Strisciuglio, Nicola, Pechenizkiy, Mykola, van Keulen, Maurice, Mocanu, Decebal Constantin, Mocanu, Elena
It is generally perceived that Dynamic Sparse Training opens the door to a new era of scalability and efficiency for artificial neural networks at, perhaps, some costs in accuracy performance for the classification task. At the same time, Dense Train
Externí odkaz:
http://arxiv.org/abs/2410.03030
Autor:
Keulen, Jurrien, Jayawardhana, Bayu
We study the properties of remnant function, which is a function of output remnant versus amplitude of the input signal, of Preisach hysteresis operators. The remnant behavior (or the leftover memory when the input reaches zero) enables an energy-opt
Externí odkaz:
http://arxiv.org/abs/2406.11295
Autor:
Junior, Sylvio Barbon, Ceravolo, Paolo, Groppe, Sven, Jarrar, Mustafa, Maghool, Samira, Sèdes, Florence, Sahri, Soror, Van Keulen, Maurice
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like fluency a
Externí odkaz:
http://arxiv.org/abs/2406.06596
In additive manufacturing, the fabrication sequence has a large influence on the quality of manufactured components. While planning of the fabrication sequence is typically performed after the component has been designed, recent developments have dem
Externí odkaz:
http://arxiv.org/abs/2404.13059
Autor:
Pathak, Shreyasi, Schlötterer, Jörg, Veltman, Jeroen, Geerdink, Jeroen, van Keulen, Maurice, Seifert, Christin
Deep learning models have achieved high performance in medical applications, however, their adoption in clinical practice is hindered due to their black-box nature. Self-explainable models, like prototype-based models, can be especially beneficial as
Externí odkaz:
http://arxiv.org/abs/2403.20260
Autor:
Wu, Boqian, Xiao, Qiao, Liu, Shiwei, Yin, Lu, Pechenizkiy, Mykola, Mocanu, Decebal Constantin, Van Keulen, Maurice, Mocanu, Elena
Deep neural networks have evolved as the leading approach in 3D medical image segmentation due to their outstanding performance. However, the ever-increasing model size and computation cost of deep neural networks have become the primary barrier to d
Externí odkaz:
http://arxiv.org/abs/2312.04727
Autor:
Pathak, Shreyasi, Schlötterer, Jörg, Geerdink, Jeroen, Vijlbrief, Onno Dirk, van Keulen, Maurice, Seifert, Christin
Automatic methods for early detection of breast cancer on mammography can significantly decrease mortality. Broad uptake of those methods in hospitals is currently hindered because the methods have too many constraints. They assume annotations availa
Externí odkaz:
http://arxiv.org/abs/2310.12677
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 9, Pp 6866-6877 (2024)
ABSTRACT: Increasing nutrient supply to dairy calves has well known benefits; however, the effects of milk replacer (MR) composition when supplied in higher amounts are not fully understood, particularly in the first weeks of life. To better understa
Externí odkaz:
https://doaj.org/article/e91a069d9edc4b42b06ea471dd01b09a
Autor:
Nauta, Meike, Hegeman, Johannes H., Geerdink, Jeroen, Schlötterer, Jörg, van Keulen, Maurice, Seifert, Christin
Part-prototype models are explainable-by-design image classifiers, and a promising alternative to black box AI. This paper explores the applicability and potential of interpretable machine learning, in particular PIP-Net, for automated diagnosis supp
Externí odkaz:
http://arxiv.org/abs/2307.10404
Autor:
Marvin Y. Chong, Koen G. Frenken, Simone J. P. M. Eussen, Annemarie Koster, Gerda K. Pot, Stéphanie O. Breukink, Maryska Janssen-Heijnen, Eric T. P. Keulen, Wouter Bijnens, Laurien M. Buffart, Kenneth Meijer, Frank A. J. L. Scheer, Karen Steindorf, Judith de Vos-Geelen, Matty P. Weijenberg, Eline H. van Roekel, Martijn J. L. Bours
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 21, Iss 1, Pp 1-15 (2024)
Abstract Background There is a growing population of survivors of colorectal cancer (CRC). Fatigue and insomnia are common symptoms after CRC, negatively influencing health-related quality of life (HRQoL). Besides increasing physical activity and dec
Externí odkaz:
https://doaj.org/article/fd3b599d43024412bc2bd0c3fe1f70f2