Zobrazeno 1 - 10
of 330
pro vyhledávání: '"Villmann Thomas"'
Autor:
Zok Tomasz, Antczak Maciej, Riedel Martin, Nebel David, Villmann Thomas, Lukasiak Piotr, Blazewicz Jacek, Szachniuk Marta
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 25, Iss 3, Pp 689-700 (2015)
An increasing number of known RNA 3D structures contributes to the recognition of various RNA families and identification of their features. These tasks are based on an analysis of RNA conformations conducted at different levels of detail. On the oth
Externí odkaz:
https://doaj.org/article/a161eb182cd44a1e83a58121c96e37b9
Publikováno v:
Annals of Indian Academy of Neurology, Vol 12, Iss 1, Pp 28-34 (2009)
Objectives : Fine motor skills disorders belong to the neurological manifestation of Wilson′s disease. The aim of this study is to investigate if fine motor performance changes during the course of the disease and with therapy. Methods : In 15 neur
Externí odkaz:
https://doaj.org/article/219c2b3f8cd14b36afa1c67e83e30e2e
Publikováno v:
In Neurocomputing 1 September 2024 596
Autor:
Badura, Jan, Laskowski, Artur, Antczak, Maciej, Blazewicz, Jacek, Pawlak, Grzegorz, Pesch, Erwin, Villmann, Thomas, Wasik, Szymon
This paper concludes the Brilliant Challenges contest. Participants had to design interesting optimization problems and publish them using the Optil.io platform. It was the first widely-advertised contest in the area of operational research where the
Externí odkaz:
http://arxiv.org/abs/2110.04916
Autor:
van Veen, Rick, Tamboli, Neha Rajendra Bari, Lövdal, Sofie, Meles, Sanne K., Renken, Remco J., de Vries, Gert-Jan, Arnaldi, Dario, Morbelli, Silvia, Clavero, Pedro, Obeso, José A., Oroz, Maria C. Rodriguez, Leenders, Klaus L., Villmann, Thomas, Biehl, Michael
Publikováno v:
In Artificial Intelligence In Medicine March 2024 149
Akademický článek
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Publikováno v:
In Neurocomputing 14 October 2023 554
Adversarial attacks and the development of (deep) neural networks robust against them are currently two widely researched topics. The robustness of Learning Vector Quantization (LVQ) models against adversarial attacks has however not yet been studied
Externí odkaz:
http://arxiv.org/abs/1902.00577
An appropriate choice of the activation function (like ReLU, sigmoid or swish) plays an important role in the performance of (deep) multilayer perceptrons (MLP) for classification and regression learning. Prototype-based classification learning metho
Externí odkaz:
http://arxiv.org/abs/1901.05995
Neural networks currently dominate the machine learning community and they do so for good reasons. Their accuracy on complex tasks such as image classification is unrivaled at the moment and with recent improvements they are reasonably easy to train.
Externí odkaz:
http://arxiv.org/abs/1812.01214