Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Sandro Skansi"'
Publikováno v:
IEEE Access, Vol 12, Pp 115219-115236 (2024)
Recurrent Neural Networks (RNNs), including the distinguished Long Short-Term Memory Networks (LSTMs), have been shown to be effective in a wide range of sequential data problems. However, their ability to model very long-term dependencies still pose
Externí odkaz:
https://doaj.org/article/6a26aaa3b4b64cac9182debd99915649
Autor:
Kristina Šekrst, Sandro Skansi
Publikováno v:
Zagadnienia Filozoficzne w Nauce, Vol 73, Pp 171-196 (2022)
Machine learning and essentialism have been connected in the past by various researchers, in order to state that the main paradigm in machine learning processes is equivalent to choosing the “essential” attributes for the machine to search for. O
Externí odkaz:
https://doaj.org/article/23822f3c492545789327ea93079dce10
Publikováno v:
IEEE Access, Vol 9, Pp 146550-146567 (2021)
Predicting the personality type of text authors has a well-known usage in psychology with practical applications in business. From the data science perspective, we can look at this problem as a text classification task that can be tackled using natur
Externí odkaz:
https://doaj.org/article/ed92212f07e44fd3a3b5f1f5f4a981fe
Publikováno v:
IEEE Access, Vol 9, Pp 146550-146567 (2021)
Predicting the personality type of text authors has a well-known usage in psychology with practical applications in business. From the data science perspective, we can look at this problem as a text classification task that can be tackled using natur
Autor:
Sandro Skansi, Marko Kardum
Publikováno v:
Disputatio philosophica : International Journal on Philosophy and Religion
Volume 23
Issue 1
Volume 23
Issue 1
This paper examines the philosophical foundations of deep learning. By pointing to the beginnings of deep learning and artificial neuron as a logical model of a human neuron, it is possible to claim that artificial intelligence was developed even bef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c767823abf7f64ad9104dd37c3ea0e
https://doi.org/10.32701/dp.23.1.6
https://doi.org/10.32701/dp.23.1.6
Publikováno v:
MIPRO
Summary – In this paper we propose an non-machine learning artificial intelligence (AI) based approach for telecom data analysis, with a special focus on clique detection. Clique detection can be used to identify households, which is a major challe
Publikováno v:
Guide to Deep Learning Basics ISBN: 9783030375904
We are exploring the historical significance of research in the field of machine translation conducted by Bulcsu Laszlo, Croatian linguist, who was a pioneer in machine translation in Yugoslavia during the 1950s. We are focused on two important semin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44314d6292281a7dd517bd811a84d802
https://doi.org/10.1007/978-3-030-37591-1_7
https://doi.org/10.1007/978-3-030-37591-1_7
Publikováno v:
MIPRO
In natural language processing, most problems can be interpreted as text classification tasks, which makes this type of task a central one. A natural subdivision of more complex types of text classification can be made according to whether the classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee406f1a67ec600144b8b39ea57c42c0
https://doi.org/10.23919/mipro48935.2020.9245216
https://doi.org/10.23919/mipro48935.2020.9245216
Autor:
Sandro Skansi, Davor Lauc
Publikováno v:
Filozofska istraživanja. 38:5-16
Autor:
Sandro Skansi, Marko Kardum
Publikováno v:
Filozofska istraživanja
Volume 39
Issue 4
Volume 39
Issue 4
U ovom radu istražujemo mogućnost primjene tradicionalnih i suvremenih estetičkih teorija na logičko-matematičke dokaze, s ciljem boljeg razumijevanja intuitivnog pojma matematičke ljepote. Ovo je neformalan pojam koji zauzima središnje mjesto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91561afc907d18b7f09f40458d7e1ef5
https://www.bib.irb.hr/1071101
https://www.bib.irb.hr/1071101