Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sebastian Stabinger"'
Publikováno v:
Sensors, Vol 21, Iss 17, p 5703 (2021)
Data analysis plays an increasingly valuable role in sports. The better the data that is analysed, the more concise training methods that can be chosen. Several solutions already exist for this purpose in the tennis industry; however, none of them co
Externí odkaz:
https://doaj.org/article/b02a4c7690c848d3a1b4300cb18a6106
Publikováno v:
Sensors, Vol 20, Iss 23, p 6722 (2020)
Highly efficient training is a must in professional sports. Presently, this means doing exercises in high number and quality with some sort of data logging. In American football many things are logged, but there is no wearable sensor that logs a catc
Externí odkaz:
https://doaj.org/article/b91c86414ac549cda2344ee7a6f32e43
Publikováno v:
2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a11706d647bcb80227e0bff3f6737df9
https://doi.org/10.1109/ipas55744.2022.10052853
https://doi.org/10.1109/ipas55744.2022.10052853
Autor:
Chris Engelhardt, Jakob Mittelberger, David Peer, Sebastian Stabinger, Antonio Rodríguez-Sánchez
Publikováno v:
2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::455105815cf9929b489525be00dc810c
https://doi.org/10.1109/ipas55744.2022.10052906
https://doi.org/10.1109/ipas55744.2022.10052906
Publikováno v:
Sensors
Volume 21
Issue 17
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5703, p 5703 (2021)
Volume 21
Issue 17
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5703, p 5703 (2021)
Data analysis plays an increasingly valuable role in sports. The better the data that is analysed, the more concise training methods that can be chosen. Several solutions already exist for this purpose in the tennis industry
however, none of the
however, none of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53be5e0f9f926bf5bb6f5655ced22555
Publikováno v:
ARES
The BERT model is de facto state-of-the-art for aspect-based sentiment analysis (ABSA), an important task in natural language processing. Similar to every other model based on deep learning, BERT is vulnerable to so-called adversarial examples: strat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c40d23ad536383bdbb398fb0ce113ad9
https://doi.org/10.1145/3465481.3465770
https://doi.org/10.1145/3465481.3465770
Fine-tuning transformer models after unsupervised pre-training reaches a very high performance on many different natural language processing tasks. Unfortunately, transformers suffer from long inference times which greatly increases costs in producti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a94f977467fe72eefd3a2f6221d05356
http://arxiv.org/abs/2105.14839
http://arxiv.org/abs/2105.14839
Publikováno v:
Pattern Recognition Letters
A recently proposed method in deep learning groups multiple neurons to capsules such that each capsule represents an object or part of an object. Routing algorithms route the output of capsules from lower-level layers to upper-level layers. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93a0001424cae7800a46a5c2dcbb9ee5
Fine-tuning transformer models after unsupervised pre-training reaches a very high performance on many different NLP tasks. Unfortunately, transformers suffer from long inference times which greatly increases costs in production and is a limiting fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b464021f3021c46cae6794d57a48f538
Publikováno v:
WACV
Designing neural network architectures is a challenging task and knowing which specific layers of a model must be adapted to improve the performance is almost a mystery. In this paper, we introduce a novel theory and metric to identify layers that de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f98f2e412540a25cd6b8ac00b24f173
https://doi.org/10.1109/wacv48630.2021.00030
https://doi.org/10.1109/wacv48630.2021.00030