Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mantas Lukoševičius"'
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8887 (2024)
Pre-trained transformer models shine in many natural language processing tasks and therefore are expected to bear the representation of the input sentence or text meaning. These sentence-level embeddings are also important in retrieval-augmented gene
Externí odkaz:
https://doaj.org/article/31713be2bfc848baa1ff096b30e9e5cb
Autor:
Ana Santos Rodrigues, Rytis Augustauskas, Mantas Lukoševičius, Pablo Laguna, Vaidotas Marozas
Publikováno v:
Sensors, Vol 22, Iss 14, p 5414 (2022)
The spatial QRS-T angle is a promising health indicator for risk stratification of sudden cardiac death (SCD). Thus far, the angle is estimated solely from 12-lead electrocardiogram (ECG) systems uncomfortable for ambulatory monitoring. Methods to es
Externí odkaz:
https://doaj.org/article/a341bd911bbc46518866f21511b85059
Autor:
Lukas Stankevičius, Mantas Lukoševičius, Jurgita Kapočiūtė-Dzikienė, Monika Briedienė, Tomas Krilavičius
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2636 (2022)
Due to the fast pace of life and online communications and the prevalence of English and the QWERTY keyboard, people tend to forgo using diacritics, make typographical errors (typos) when typing in other languages. Restoring diacritics and correcting
Externí odkaz:
https://doaj.org/article/549cbc52a74349358529ba95f22c7ec4
Publikováno v:
Energies, Vol 13, Iss 13, p 3440 (2020)
Convolutional Neural Networks (CNN) possess many positive qualities when it comes to spatial raster data. Translation invariance enables CNNs to detect features regardless of their position in the scene. However, in some domains, like geospatial, not
Externí odkaz:
https://doaj.org/article/e09abcbc2c5b4b0d9e7e86b77f0d6676
Publikováno v:
Artificial Intelligence Trends in Systems ISBN: 9783031090752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcf91039f6da8332bd4c6b2ed0087d83
https://doi.org/10.1007/978-3-031-09076-9_44
https://doi.org/10.1007/978-3-031-09076-9_44
Autor:
Arnas Uselis, Mantas Lukoševičius
Publikováno v:
Cognitive Computation.
Background/introduction: Cross-Validation (CV) is still uncommon in time series modeling. Echo State Networks (ESNs), as a prime example of Reservoir Computing (RC) models, are known for their fast and precise one-shot learning, that often benefit fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a98211a398785a8e7e74d6b37d611f7
https://doi.org/10.1007/s12559-021-09849-2
https://doi.org/10.1007/s12559-021-09849-2
Publikováno v:
Sensors; Volume 22; Issue 14; Pages: 5414
The spatial QRS-T angle is a promising health indicator for risk stratification of sudden cardiac death (SCD). Thus far, the angle is estimated solely from 12-lead electrocardiogram (ECG) systems uncomfortable for ambulatory monitoring. Methods to es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b4de4a7a1fa771efe5c7a729aca24e
https://doi.org/10.3390/s22145414
https://doi.org/10.3390/s22145414
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030883034
In this work, we train the first monolingual Lithuanian transformer model on a relatively large corpus of Lithuanian news articles and compare various output decoding algorithms for abstractive news summarization. We achieve an average ROUGE-2 score
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55c0a9366b4661425eb07f0b938c81b6
https://doi.org/10.1007/978-3-030-88304-1_27
https://doi.org/10.1007/978-3-030-88304-1_27
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030883034
In this work, we address automatic evaluation of the difficulty of programming problems or exercises. Typically the problems consist of both text description and accompanying figures. We collect a suitable dataset, investigate the evaluation based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83d9e5feeadc0a41fe10575fd8fd0227
https://doi.org/10.1007/978-3-030-88304-1_12
https://doi.org/10.1007/978-3-030-88304-1_12
Autor:
Bukauskas, M., Mantas Lukoševičius
Publikováno v:
Scopus-Elsevier
Machine learning is constantly gaining popularity in real life applications. And one of them is prediction of various real-life events that depend on a huge number of factors that are hard to evaluate. In this article we describe the process of apply
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a11130af9a654004cd07c1bda6e20fd3
https://vb.ktu.edu/KTU:ELABAPDB89095729&prefLang=en_US
https://vb.ktu.edu/KTU:ELABAPDB89095729&prefLang=en_US