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pro vyhledávání: '"P. Atanasova"'
Autor:
P. Atanasova
Publikováno v:
Agricultural Science and Technology, Vol 16, Iss 3, Pp 80-91 (2024)
Abstract. The challenges in the Agro sector increase with each passing year. Innovations in agricultural machinery meet the growing needs of this sector of the economy. The purpose of the current article is, on the one hand, to analyze the changes oc
Externí odkaz:
https://doaj.org/article/866fcaea8575423cb8cda143de394b59
Autor:
P. Atanasova
Publikováno v:
Trakia Journal of Sciences, Vol 21, Iss 2, Pp 81-86 (2023)
Smart specialization is not an imposed strategy, but a necessary adaptation of national and regional policies in modern times. It is the conditions of constantly decreasing resources and the adaptation of local economies to a new world order that r
Externí odkaz:
https://doaj.org/article/0d3aed998c81431e80900ded85d169a8
Autor:
Atanasova, Desislava G., Yang, Ian, Hönigl-Decrinis, Teresa, Gusenkova, Daria, Pop, Ioan M., Kirchmair, Gerhard
Quantum computation with bosonic modes presents a powerful paradigm for harnessing the principles of quantum mechanics to perform complex information processing tasks. In constructing a bosonic qubit with superconducting circuits, nonlinearity is typ
Externí odkaz:
http://arxiv.org/abs/2409.07612
Autor:
Y. Yarkova, P. Atanasova
Publikováno v:
Trakia Journal of Sciences, Vol 18, Iss Suppl. 1, Pp 451-459 (2020)
The regional context of smart specialization continues to be in the focus of academic discussions as the innovative potential of regions in Bulgaria is being determined. The aim of the present work is to identify innovative practices in one of the le
Externí odkaz:
https://doaj.org/article/f07b62417aca46378af7d7a7aa930039
Autor:
Marjanović, Sara Vera, Yu, Haeun, Atanasova, Pepa, Maistro, Maria, Lioma, Christina, Augenstein, Isabelle
Knowledge-intensive language understanding tasks require Language Models (LMs) to integrate relevant context, mitigating their inherent weaknesses, such as incomplete or outdated knowledge. However, conflicting knowledge can be present in the LM's pa
Externí odkaz:
http://arxiv.org/abs/2407.17023
Explaining the decision-making process of machine learning models is crucial for ensuring their reliability and fairness. One popular explanation form highlights key input features, such as i) tokens (e.g., Shapley Values and Integrated Gradients), i
Externí odkaz:
http://arxiv.org/abs/2406.15085
Autor:
P. Atanasova
Publikováno v:
Trakia Journal of Sciences, Vol 17, Iss Suppl. 1, Pp 99-106 (2019)
The aim of the report is to draw up the directions for development of the regions in the country, as well as leading trends in intelligent specialization. The starting points are analyzes of the Ministry of Economy and European Business Institute, ta
Externí odkaz:
https://doaj.org/article/1095b3f2d673455e9cf0a843ae1b7a7e
Language Models (LMs) acquire parametric knowledge from their training process, embedding it within their weights. The increasing scalability of LMs, however, poses significant challenges for understanding a model's inner workings and further for upd
Externí odkaz:
http://arxiv.org/abs/2404.18655
This paper is a short overview of the main Abelian- and Tauberian-type results from [4, 14, 26] regarding the asymptotic analysis of different classes of generalized functions in terms of appropriate frames. The Tauberian-type results provide a compr
Externí odkaz:
http://arxiv.org/abs/2404.04468
Describing the ground states of continuous, real-space quantum many-body systems, like atoms and molecules, is a significant computational challenge with applications throughout the physical sciences. Recent progress was made by variational methods b
Externí odkaz:
http://arxiv.org/abs/2402.06577