Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ive Botunac"'
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6254 (2024)
This study compares the effectiveness of fine-tuning Transformer models, specifically BERT, RoBERTa, DeBERTa, and GPT-2, against using prompt engineering in LLMs like ChatGPT and GPT-4 for multi-class classification of hotel reviews. As the hospitali
Externí odkaz:
https://doaj.org/article/cd43ca6c64c44649a906ebd8f1d8cf60
Publikováno v:
Information, Vol 15, Iss 3, p 136 (2024)
Investment decision-makers increasingly rely on modern digital technologies to enhance their strategies in today’s rapidly changing and complex market environment. This paper examines the impact of incorporating Long Short-term Memory (LSTM) models
Externí odkaz:
https://doaj.org/article/d210f7c8e77144929223cf42db9d9377
Autor:
Marijan Gržan, Ive Botunac
Publikováno v:
Brodogradnja, Vol 68, Iss 1, Pp 97-105 (2017)
Automatic Identification System (AIS) represents an important improvement in the fields of maritime security and vessel tracking. It is used by the signatory countries to the SOLAS Convention and by private and public providers. Its main advantage is
Externí odkaz:
https://doaj.org/article/fa02b00eee8d47e9ab8b2ddc8eee9ccf
Publikováno v:
DAAAM Proceedings
Stock market predictions are a difficult and challenging task affected by numerous interrelated economic, political and social factors caused by non-linear and often unstable movements. Precisely due to the stated nature of financial time series, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::737f3464f92889be8654e08ae6ba4a9e
https://doi.org/10.2507/31st.daaam.proceedings.081
https://doi.org/10.2507/31st.daaam.proceedings.081
Autor:
Ive Botunac, Marijan Gržan
Publikováno v:
Brodogradnja, Vol 68, Iss 1, Pp 97-105 (2017)
Brodogradnja : Teorija i praksa brodogradnje i pomorske tehnike
Volume 68
Issue 1
Brodogradnja : Teorija i praksa brodogradnje i pomorske tehnike
Volume 68
Issue 1
Automatic Identification System (AIS) represents an important improvement in the fields of maritime security and vessel tracking. It is used by the signatory countries to the SOLAS Convention and by private and public providers. Its main advantage is
Predicting future trends in the stock market from time-series data is a challenging task due to its high non-linear nature caused by the complexity involved in the trading process. This paper emphasizes the importance of time- series dana filtering w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d13a609acce8958c20e676a662bde27
https://doi.org/10.2507/30th.daaam.proceedings.123
https://doi.org/10.2507/30th.daaam.proceedings.123