Zobrazeno 1 - 10
of 862
pro vyhledávání: '"P. Handschuh"'
In training neural networks, it is common practice to use partial gradients computed over batches, mostly very small subsets of the training set. This approach is motivated by the argument that such a partial gradient is close to the true one, with p
Externí odkaz:
http://arxiv.org/abs/2410.16523
Transformers are a widespread and successful model architecture, particularly in Natural Language Processing (NLP) and Computer Vision (CV). The essential innovation of this architecture is the Attention Mechanism, which solves the problem of extract
Externí odkaz:
http://arxiv.org/abs/2410.13732
This research dissects financial equity research reports (ERRs) by mapping their content into categories. There is insufficient empirical analysis of the questions answered in ERRs. In particular, it is not understood how frequently certain informati
Externí odkaz:
http://arxiv.org/abs/2407.18327
Autor:
M.B. Reed, T. Vanicek, R. Seiger, M. Klöbl, B. Spurny, P. Handschuh, V. Ritter, J. Unterholzner, G.M. Godbersen, G. Gryglewski, C. Kraus, D. Winkler, A. Hahn, R. Lanzenberger
Publikováno v:
NeuroImage, Vol 236, Iss , Pp 118039- (2021)
Animal studies using selective serotonin reuptake inhibitors (SSRIs) and learning paradigms have demonstrated that serotonin is important for flexibility in executive functions and learning. SSRIs might facilitate relearning through neuroplastic proc
Externí odkaz:
https://doaj.org/article/ae289921062b478f97d9ef105eb44449
Publikováno v:
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR2023
Deep neural networks have a good success record and are thus viewed as the best architecture choice for complex applications. Their main shortcoming has been, for a long time, the vanishing gradient which prevented the numerical optimization algorith
Externí odkaz:
http://arxiv.org/abs/2309.08414
Autor:
Yam, W. K., Renger, M., Gandorfer, S., Fesquet, F., Handschuh, M., Honasoge, K. E., Kronowetter, F., Nojiri, Y., Partanen, M., Pfeiffer, M., van der Vliet, H., Matthews, A. J., Govenius, J., Jabdaraghi, R. N., Prunnila, M., Marx, A., Deppe, F., Gross, R., Fedorov, K. G.
Scalable quantum information processing with superconducting circuits is expected to advance from individual processors located in single dilution refrigerators to more powerful distributed quantum computing systems. The realization of hardware platf
Externí odkaz:
http://arxiv.org/abs/2308.12398
Sentences that present a complex syntax act as a major stumbling block for downstream Natural Language Processing applications whose predictive quality deteriorates with sentence length and complexity. The task of Text Simplification (TS) may remedy
Externí odkaz:
http://arxiv.org/abs/2308.00425
This research article analyzes the language used in the official statements released by the Federal Open Market Committee (FOMC) after its scheduled meetings to gain insights into the impact of FOMC official statements on financial markets and econom
Externí odkaz:
http://arxiv.org/abs/2304.10164
Autor:
Barbara Mirska, Michal Zenczak, Katarzyna Nowis, Ireneusz Stolarek, Jan Podkowiński, Magdalena Rakoczy, Małgorzata Marcinkowska-Swojak, Natalia Koralewska, Paweł Zmora, Elżbieta Lenartowicz Onyekaa, Marcin Osuch, Katarzyna Łasińska, Jadwiga Kuczma-Napierała, Marcelina Jaworska, Łukasz Madej, Marzena Ciechomska, Aleksander Jamsheer, Krzysztof Kurowski, Marek Figlerowicz, Luiza Handschuh
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The COVID-19 pandemic has profoundly affected all aspects of our lives. Through real-time monitoring and rapid vaccine implementation, we succeeded in suppressing the spread of the disease and mitigating its consequences. Finally, conclusion
Externí odkaz:
https://doaj.org/article/39af2b49a72c4668bd467acbef7fc91c
Autor:
Tobias Ronny Haage, Emmanouil Charakopoulos, Vikas Bhuria, Conny K. Baldauf, Mark Korthals, Juliane Handschuh, Peter Müller, Juan Li, Kunjan Harit, Gopala Nishanth, Stephanie Frey, Martin Böttcher, Klaus-Dieter Fischer, Jan Dudeck, Anne Dudeck, Daniel B. Lipka, Burkhart Schraven, Anthony R. Green, Andreas J. Müller, Dimitrios Mougiakakos, Thomas Fischer
Publikováno v:
Journal of Hematology & Oncology, Vol 17, Iss 1, Pp 1-23 (2024)
Abstract Background Neutrophils play a crucial role in inflammation and in the increased thrombotic risk in myeloproliferative neoplasms (MPNs). We have investigated how neutrophil-specific expression of JAK2-V617F or CALRdel re-programs the function
Externí odkaz:
https://doaj.org/article/de0cb7b1744d4527b1c4f8287f2223f4