Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Marco Pota"'
Best practices for portfolio optimization by quantum computing, experimented on real quantum devices
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In finance, portfolio optimization aims at finding optimal investments maximizing a trade-off between return and risks, given some constraints. Classical formulations of this quadratic optimization problem have exact or heuristic solutions,
Externí odkaz:
https://doaj.org/article/7078d5a92a494c4988b710bbe3bae3d8
Autor:
Marco Pota, Gaetano Pecoraro, Guido Rianna, Alfredo Reder, Michele Calvello, Massimo Esposito
Publikováno v:
Discover Artificial Intelligence, Vol 2, Iss 1, Pp 1-11 (2022)
Abstract Landslide early warning systems at regional scale are typically based on correlations between landslides that occurred in the past and rainfall monitoring data in order to identify trigger rainfall thresholds. Recently, the availability of l
Externí odkaz:
https://doaj.org/article/997fb334cc5747d1949b97e79d70ca7b
Publikováno v:
IEEE Access, Vol 10, Pp 26859-26875 (2022)
Recently, many approaches were proposed to support human resource management in finding the best human resources for available jobs. However, existing solutions do not effectively evaluate employees’ skills, or they do only partially, neither provi
Externí odkaz:
https://doaj.org/article/211bc83df3a4436b83cda4281118623c
Publikováno v:
Array, Vol 14, Iss , Pp 100138- (2022)
Externí odkaz:
https://doaj.org/article/d7a6e89b4a30416da07dadd9a5c02e7d
Autor:
Giuseppe De Pietro, Marco Pota
Publikováno v:
Applied System Innovation, Vol 5, Iss 3, p 54 (2022)
Research on fuzzy logic [...]
Externí odkaz:
https://doaj.org/article/f95573d9b405496ab9ffc6236b5e0fde
Publikováno v:
Future Internet, Vol 14, Iss 4, p 106 (2022)
Natural language engineering includes a continuously enlarging variety of methods for solving natural language processing (NLP) tasks within a pervasive number of applications [...]
Externí odkaz:
https://doaj.org/article/cfdd1d4010154b73b85e0379bcb48eb1
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6717 (2021)
Nowadays, systems based on artificial intelligence are being developed, leading to impressive achievements in a variety of complex cognitive tasks, matching or even beating humans [...]
Externí odkaz:
https://doaj.org/article/82603c0679aa4e54ad1fb0b79674ade4
Publikováno v:
Sensors, Vol 21, Iss 1, p 133 (2020)
Over the last decade industrial and academic communities have increased their focus on sentiment analysis techniques, especially applied to tweets. State-of-the-art results have been recently achieved using language models trained from scratch on cor
Externí odkaz:
https://doaj.org/article/193b3b27a80d40df9327a293f14069be
Autor:
Shereen Adbulla, Suzan Anwar, Rossana Buongiorno, Rosario Catelli, Sara Colantonio, Leonardo Colligiani, Carmela Comito, Srijan Das, Girirajasekhar Dornadula, Massimo Esposito, Salvatore Claudio Fanni, Danila Germanese, Lakshmi Narasimha Gunturu, Rajani Sudhir Kamath, Sreekantha Desai Karanam, Dmitriy Klyushin, Raja Vittal Rao Kulkarni, Silicia Lomax, Mariofanna Milanova, Saja Ataallah Muhammed, Raghavendra Naveen Nimbagal, Andrea Pota, Marco Pota, Ayla Gerk Rangel, Chiara Romei
Publikováno v:
Artificial Intelligence in Healthcare and COVID-19 ISBN: 9780323905312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::540c0a8621d26a6c292f9934c75f6e8b
https://doi.org/10.1016/b978-0-323-90531-2.00011-4
https://doi.org/10.1016/b978-0-323-90531-2.00011-4
Publikováno v:
Artificial Intelligence in Healthcare and COVID-19 ISBN: 9780323905312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77e7c5ba321e26a8efe913fa7eb342a0
https://doi.org/10.1016/b978-0-323-90531-2.00013-8
https://doi.org/10.1016/b978-0-323-90531-2.00013-8