Zobrazeno 1 - 10
of 789
pro vyhledávání: '"Wagner, Johannes A."'
Autor:
Witt, Marcus, Nguyen, G. H. Philipp, von Puttkamer-Luerssen, Josefine R., Yilderim, Can H., Wagner, Johannes A. B., Malek, Ebrahim, Juretzka, Sabrina, Meyrelles Jr., Jorge L., Hofmann, Maximilan, Löwen, Hartmut, Palberg, Thomas
We study poly-crystalline spherical drops of an aqueous suspension of highly charged colloidal spheres exposed to a colloid-free aqueous environment. Crystal contours were obtained from standard optical imaging. The crystal spheres first expand to ne
Externí odkaz:
http://arxiv.org/abs/2404.07642
We report on the curation of several publicly available datasets for age and gender prediction. Furthermore, we present experiments to predict age and gender with models based on a pre-trained wav2vec 2.0. Depending on the dataset, we achieve an MAE
Externí odkaz:
http://arxiv.org/abs/2306.16962
Driven by the need for larger and more diverse datasets to pre-train and fine-tune increasingly complex machine learning models, the number of datasets is rapidly growing. audb is an open-source Python library that supports versioning and documentati
Externí odkaz:
http://arxiv.org/abs/2303.00645
Publikováno v:
In World Development January 2025 185
Autor:
Triantafyllopoulos, Andreas, Wagner, Johannes, Wierstorf, Hagen, Schmitt, Maximilian, Reichel, Uwe, Eyben, Florian, Burkhardt, Felix, Schuller, Björn W.
Publikováno v:
Proc. Interspeech 2022, 146-150
Large, pre-trained neural networks consisting of self-attention layers (transformers) have recently achieved state-of-the-art results on several speech emotion recognition (SER) datasets. These models are typically pre-trained in self-supervised mann
Externí odkaz:
http://arxiv.org/abs/2204.00400
Autor:
Wagner, Johannes, Triantafyllopoulos, Andreas, Wierstorf, Hagen, Schmitt, Maximilian, Burkhardt, Felix, Eyben, Florian, Schuller, Björn W.
Publikováno v:
in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 9, pp. 10745-10759, 1 Sept. 2023
Recent advances in transformer-based architectures which are pre-trained in self-supervised manner have shown great promise in several machine learning tasks. In the audio domain, such architectures have also been successfully utilised in the field o
Externí odkaz:
http://arxiv.org/abs/2203.07378
The cubic $Ia\bar{3}$ (BC8) and tetragonal $P4_32_12$ (ST12) high pressure modifications of Si and Ge are attractive candidates for applications in optoelectronic, thermoelectric or plasmonic devices. Si$_x$Ge$_{1-x}$ alloys in BC8/ST12 modifications
Externí odkaz:
http://arxiv.org/abs/2004.00461
Autor:
Bressler, Matthew, Campion, Peter, Cushman, V. Scott, Morrese, Alexander, Wagner, Johannes M., Zerbo, Salvatore, Neilson, Russell, Crisler, Mike, Dahl, C. Eric
In this paper, we report on the successful operation at Drexel University of the PICO collaboration's first C$_3$F$_8$ buffer-free prototype fluorocarbon bubble chamber. Previous PICO bubble chambers have produced world-leading WIMP search results wi
Externí odkaz:
http://arxiv.org/abs/1905.07367
Autor:
Steinberg, Fabian, Burggräf, Peter, Wagner, Johannes, Heinbach, Benjamin, Saßmannshausen, Till, Brintrup, Alexandra
Publikováno v:
In Supply Chain Analytics March 2023 1
Autor:
Wagner, Johannes1 johannes.wagner@stud.hs-coburg.de
Publikováno v:
Fachzeitschrift für Verbands- und Nonprofit-Management (VM). 2024, Vol. 50 Issue 2, p26-31. 6p.