Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Luca Piras"'
Autor:
Salvatore M. Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero
Publikováno v:
IEEE Access, Vol 9, Pp 30193-30205 (2021)
In this manuscript, we propose a Machine Learning approach to tackle a binary classification problem whose goal is to predict the magnitude (high or low) of future stock price variations for individual companies of the S&P 500 index. Sets of lexicons
Externí odkaz:
https://doaj.org/article/311240e90475458b9f614f4cb404a16f
Autor:
Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero
Publikováno v:
PeerJ Computer Science, Vol 7, p e438 (2021)
In the current age of overwhelming information and massive production of textual data on the Web, Event Detection has become an increasingly important task in various application domains. Several research branches have been developed to tackle the pr
Externí odkaz:
https://doaj.org/article/5cdc13baf5224032bafc5b0ecb04a8d5
Autor:
Alessio Silvio Dedola, Luca Piras, Margherita Addis, Antonio Pirisi, Giovanni Piredda, Andrea Mara, Gavino Sanna
Publikováno v:
Separations, Vol 7, Iss 3, p 40 (2020)
The activity of α-l-fucosidase (FSC) has been measured for the first time in Fiore Sardo PDO (Protected Designation of Origin) raw milk cheese. To do this, a RP-HPLC method has been developed, validated and tested on a reliable sampling of cheese ex
Externí odkaz:
https://doaj.org/article/857faecea8484b1b99baf58e94ee5f5f
Autor:
Aggeliki Tsohou, Haralambos Mouratidis, Julien Debussche, Luca Piras, Marco Rotoloni, Emmanouil Magkos, George Chrysoloras, Michalis Pavlidis, Beatriz Gallego-Nicasio Crespo
Publikováno v:
Information & Computer Security
Purpose General data protection regulation (GDPR) entered into force in May 2018 for enhancing personal data protection. Even though GDPR leads toward many advantages for the data subjects it turned out to be a significant challenge. Organizations ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a076ffdf67e47ad4c5c0d32fc7605e4a
https://doi.org/10.1108/ics-01-2020-0002
https://doi.org/10.1108/ics-01-2020-0002
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030966478
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39c1c3f137add958fb818da8071b39de
https://doi.org/10.1007/978-3-030-96648-5_4
https://doi.org/10.1007/978-3-030-96648-5_4
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b3d481f5e818dcf63e326ff0c0f95bf
https://doi.org/10.2139/ssrn.4219568
https://doi.org/10.2139/ssrn.4219568
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783031214875
Middlesex University
Middlesex University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02a703e029831479e7874f7cfcb92c67
https://doi.org/10.1007/978-3-031-21488-2_3
https://doi.org/10.1007/978-3-031-21488-2_3
Autor:
Oumaima Lahmar, Luca Piras
Publikováno v:
Research in International Business and Finance. 64:101900
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::450b7f403e04698e478399dbcc49cf0a
https://doi.org/10.1016/j.ribaf.2023.101900
https://doi.org/10.1016/j.ribaf.2023.101900
Publikováno v:
CIKM
Prediction bias is a well-known problem in classification algorithms, which tend to be skewed towards more represented classes. This phenomenon is even more remarkable in multi-label scenarios, where the number of underrepresented classes is usually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d97231b36ec2b019b90f324d739c42
https://doi.org/10.1145/3459637.3482100
https://doi.org/10.1145/3459637.3482100
Autor:
Luca Piras
Publikováno v:
Journal of Governance and Regulation. 8:56-63
Academic literature on impact finance has not yet covered all aspects of the topic, nor has significantly contributed, so far, to solve several relevant problems arising from the field. Defining the metrics and measurement models suitable to assess i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf6c992f347d7832adb86dcb3049322b
https://doi.org/10.22495/jgrv8i4art5
https://doi.org/10.22495/jgrv8i4art5