Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Evaldas Vaičiukynas"'
Publikováno v:
Oceanologia, Vol 66, Iss 2, Pp 286-298 (2024)
Underwater imagery (UI) is an important and sometimes the only tool for mapping hard-bottom habitats. With the development of new camera systems, from hand-held or simple “drop-down” cameras to ROV/AUV-mounted video systems, video data collection
Externí odkaz:
https://doaj.org/article/0dd90b4cf92a4239a673223d0b8d509f
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7010 (2023)
This study introduces a novel performance-based weighting scheme for ensemble learning using the Shapley value. The weighting uses the reciprocal of binary cross-entropy as a base learner’s performance metric and estimates its Shapley value to meas
Externí odkaz:
https://doaj.org/article/a48081a78458412a8573ad9899531bdf
Autor:
Andrius Šiaulys, Evaldas Vaičiukynas, Saulė Medelytė, Sergej Olenin, Aleksej Šaškov, Kazimieras Buškus, Antanas Verikas
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106823- (2021)
Underwater imagery is widely used for a variety of applications in marine biology and environmental sciences, such as classification and mapping of seabed habitats, marine environment monitoring and impact assessment, biogeographic reconstructions in
Externí odkaz:
https://doaj.org/article/2bbf78dd52404358b5538f2f6ec5ef4e
Autor:
Kazimieras Buškus, Evaldas Vaičiukynas, Antanas Verikas, Saulė Medelytė, Andrius Šiaulys, Aleksej Šaškov
Publikováno v:
Sensors, Vol 21, Iss 22, p 7598 (2021)
Underwater video surveys play a significant role in marine benthic research. Usually, surveys are filmed in transects, which are stitched into 2D mosaic maps for further analysis. Due to the massive amount of video data and time-consuming analysis, t
Externí odkaz:
https://doaj.org/article/35ef8684b6664060b4d7e550b3d47c8a
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 1010 (2021)
Federated learning is a branch of machine learning where a shared model is created in a decentralized and privacy-preserving fashion, but existing approaches using blockchain are limited by tailored models. We consider the possibility to extend a set
Externí odkaz:
https://doaj.org/article/69ea140e79044bdfb673cb59d7251351
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 7010
This study introduces a novel performance-based weighting scheme for ensemble learning using the Shapley value. The weighting uses the reciprocal of binary cross-entropy as a base learner’s performance metric and estimates its Shapley value to meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::cfa2478b6352358968b753f7e85e0e2c
Publikováno v:
Environment, Development and Sustainability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::012f389f798d5e2bc798bf54bf7f6e66
https://doi.org/10.1007/s10668-022-02589-9
https://doi.org/10.1007/s10668-022-02589-9
Autor:
Kęstutis Daugėla, Evaldas Vaičiukynas
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031163012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce9fb886745f193055f122fa3a5c84f
https://doi.org/10.1007/978-3-031-16302-9_3
https://doi.org/10.1007/978-3-031-16302-9_3
Autor:
Evaldas Vaičiukynas, Dalia Kunigėlienė, Irena Patašienė, Eugenijus Bagdonas, Martynas Patašius, Vytautas Skvernys, Irena Stanislava Bajorūnienė
Egzistuoja daugybė mokymosi procesą palengvintančių priemonių: muzika, tam tikros programėlės telefone, programos kompiuteriuose ir kt. Tačiau kai kalba pasisuka apie verslą, ar duomenų analitiką ir ekonominius procesus, sugalvoti įdomų
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6a474ec0daa5f7158545eb4d3045cfa
https://doi.org/10.5755/e01.9786090217474
https://doi.org/10.5755/e01.9786090217474
Publikováno v:
Scopus-Elsevier
In this paper identification of laryngeal disorders using cepstral parameters of human voice is investigated. Mel-frequency cepstral coefficients (MFCC), extracted from audio recordings, are further approximated, using 3 strategies: sampling, averagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5a100165ec979884f46122791d4ff118
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-5961
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-5961