Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mirjam Sepesy Maucec"'
Autor:
Mirjam Sepesy Maučec, Gregor Donaj
Publikováno v:
Sensors, Vol 21, Iss 20, p 6920 (2021)
The necessity of caring for elderly people is increasing. Great efforts are being made to enable the elderly population to remain independent for as long as possible. Technologies are being developed to monitor the daily activities of a person to det
Externí odkaz:
https://doaj.org/article/f9932b222c334b20b664ad0ab6b917d4
Extension of HMM-Based ADL Recognition With Markov Chains of Activities and Activity Transition Cost
Autor:
Gregor Donaj, Mirjam Sepesy Maucec
Publikováno v:
IEEE Access, Vol 7, Pp 130650-130662 (2019)
Ambient assisted living in smart home environments is becoming an important goal in an aging society with challenges in elderly care. A key component in such environments is the accurate recognition of activities of daily living from various sensor d
Externí odkaz:
https://doaj.org/article/fc0321f9dfc2480ebfae85391340dce9
Publikováno v:
IEEE Access, Vol 6, Pp 29516-29531 (2018)
The demand for solving large-scale complex problems continues to grow. Many real-world problems are described by a large number of variables that interact with each other in a complex way. The dimensionality of the problem has a direct impact on the
Externí odkaz:
https://doaj.org/article/1a5159a4468f435fa639337cbf17903b
Autor:
Gregor Donaj, Mirjam Sepesy Maučec
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 11, Iss 1 (2023)
Večina sodobnih sistemov za strojno prevajanje temelji na arhitekturi nevronskih mrež. To velja za spletne ponudnike strojnega prevajanja, za raziskovalne sisteme in za orodja, ki so lahko v pomoč poklicnim prevajalcem v njihovi praksi. Čeprav la
Externí odkaz:
https://doaj.org/article/250eea565e2643df9f1ab8ccb4ac964d
Publikováno v:
Mathematics, Vol 11, Iss 11, p 2484 (2023)
This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT). Therefore, two NMT systems and two SMT systems were built for the Slov
Externí odkaz:
https://doaj.org/article/5e8b830a9cc845c690ba2b1fe768f686
Publikováno v:
7th International Conference on Spoken Language Processing (ICSLP 2002).
Autor:
Mirjam Sepesy Maucec, Zdravko Kacic
Publikováno v:
7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Publikováno v:
6th International Conference on Spoken Language Processing (ICSLP 2000).
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 9, Iss 1 (2021)
Na področju govornih in jezikovnih tehnologij predstavlja avtomatsko razpoznavanje govora enega izmed ključnih gradnikov. V prispevku bomo predstavili razvoj avtomatskega razpoznavalnika slovenskega govora za domeno dnevnoinformativnih oddaj. Arhit
Externí odkaz:
https://doaj.org/article/08814c5c06c94d5e98715d7bdc883255
Autor:
Gregor Donaj, Mirjam Sepesy Maučec
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1608 (2022)
With the transition to neural architectures, machine translation achieves very good quality for several resource-rich languages. However, the results are still much worse for languages with complex morphology, especially if they are low-resource lang
Externí odkaz:
https://doaj.org/article/cd217e86e76441a3905b78555749d19a