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of 50
pro vyhledávání: '"Grabner, Helmut"'
Autor:
Abdullahu, Fitim, Grabner, Helmut
Images tell stories, trigger emotions, and let us recall memories -- they make us think. Thus, they have the ability to attract and hold one's attention, which is the definition of being "interesting". Yet, the appeal of an image is highly subjective
Externí odkaz:
http://arxiv.org/abs/2409.16736
Autor:
Boedi, Linda H., Grabner, Helmut
Training fair machine learning models, aiming for their interpretability and solving the problem of domain shift has gained a lot of interest in the last years. There is a vast amount of work addressing these topics, mostly in separation. In this wor
Externí odkaz:
http://arxiv.org/abs/2101.04047
Akademický článek
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Autor:
Te, Yiea-Funk, Wieland, Michèle, Frey, Martin, Pyatigorskaya, Asya, Schiffer, Penny, Grabner, Helmut
Publikováno v:
In The Journal of Finance and Data Science November 2023 9
Deep neural networks have recently advanced the state-of-the-art in image compression and surpassed many traditional compression algorithms. The training of such networks involves carefully trading off entropy of the latent representation against rec
Externí odkaz:
http://arxiv.org/abs/1910.03472
Autor:
Berg, Michael, Furrer, Dirk, Thominet, Vincent, Wang, Xiaoqiang, Zeugin, Stefan, Grabner, Helmut, Stockinger, Kurt, Piamonteze, Cinthia
Publikováno v:
Journal of Synchrotron Radiation; Nov2024, Vol. 31 Issue 6, p1514-1524, 11p
Autor:
Yiea-Funk Te, Wieland, Michèle, Frey, Martin, Pyatigorskaya, Asya, Schiffer, Penny, Grabner, Helmut
Publikováno v:
Journal of Finance & Data Science; Nov2023, Vol. 9, p1-19, 19p
Autor:
Schmid, Nicolas, Bruderer, Simon, Fischetti, Giulia, Paruzzo, Federico, Toscano, Giuseppe, Graf, Dominik, Fey, Michael, Ziebart, Volker, Henrici, Andreas, Grabner, Helmut, Wegner, Jan Dirk, Sigel, Roland K.O., Heitmann, Björn, Wilhelm, Dirk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64e36c83c512ff46ab13cec934a526d
https://hdl.handle.net/11475/27429
https://hdl.handle.net/11475/27429
Instagram users including professional communicators at universities aim for the highest possible number of likes for their posts to get publicity. Thus, knowing what makes an image worth a like becomes part of professional communication skills. In a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3760::96928a32b1b5eb57eba3b60fa170e949
https://hdl.handle.net/11475/24930
https://hdl.handle.net/11475/24930
Autor:
Schmid, Nicolas, Bruderer, Simon, Fischetti, Giulia, Paruzzo, Federico, Toscano, Giuseppe, Graf, Dominik, Fey, Michael, Henrici, Andreas, Grabner, Helmut, Wegner, Jan Dirk, Sigel, Roland K. O., Heitmann, Björn, Wilhelm, Dirk
We introduce a deep learning-based deconvolution approach for 1H NMR spectra, developed by leveraging concepts from the field of physics informed-learning, intelligent labeling, and tailored high dynamic range (HDR) spectral preprocessing. Since auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::527fe80490b3cf15579e2180cc5bd787