Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Marco A. Palomino"'
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10647 (2024)
The growing number of algorithmic decision-making environments, which blend machine and bounded human rationality, strengthen the need for a holistic performance assessment of such systems. Indeed, this combination amplifies the risk of local rationa
Externí odkaz:
https://doaj.org/article/f0e05e92e26c4e6cb0228aea65548900
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 6, p 59 (2024)
Deriving insight from data is a challenging task for researchers and practitioners, especially when working on spatio-temporal domains. If pattern searching is involved, the complications introduced by temporal data dimensions create additional obsta
Externí odkaz:
https://doaj.org/article/b238b68b73b447d8ad79f72edf745d7c
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9595 (2023)
Formalizing the approach towards risk management on social media is critical for organizations. Regrettably, a review of the state-of-the-art on cybersecurity training highlighted that the existing frameworks are either too generic or too cumbersome
Externí odkaz:
https://doaj.org/article/63c885a1096e4f028011eb59f17ed756
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11642 (2022)
Despite the unabated growth of algorithmic decision-making in organizations, there is a growing consensus that numerous situations will continue to require humans in the loop. However, the blending of a formal machine and bounded human rationality al
Externí odkaz:
https://doaj.org/article/3285b53d68ca481ea0503a34d03308b8
Autor:
Marco A. Palomino, Farida Aider
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8765 (2022)
Practical demands and academic challenges have both contributed to making sentiment analysis a thriving area of research. Given that a great deal of sentiment analysis work is performed on social media communications, where text frequently ignores th
Externí odkaz:
https://doaj.org/article/78a3f96314e549f79baab4212f8242b0
Autor:
Christopher Haynes, Marco A. Palomino, Liz Stuart, David Viira, Frances Hannon, Gemma Crossingham, Kate Tantam
Publikováno v:
Mathematics, Vol 10, Iss 6, p 983 (2022)
Text datasets come in an abundance of shapes, sizes and styles. However, determining what factors limit classification accuracy remains a difficult task which is still the subject of intensive research. Using a challenging UK National Health Service
Externí odkaz:
https://doaj.org/article/f122cba4fb28445f809699b9221fd2c6
Publikováno v:
2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa7f8a760c51c3e157c0916da36a487e
https://doi.org/10.1109/eurospw55150.2022.00054
https://doi.org/10.1109/eurospw55150.2022.00054
Publikováno v:
Information Visualization. :147387162311580
This paper presents a detailed case study of the application of techniques from Information Visualization to data collected in Critical Care Units (CCUs). This data is heterogeneous and sometimes incomplete due to the pressures on staff in the enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::609abbebd04a2633009ffc4e3e7a0c4a
https://doi.org/10.1177/14738716231158046
https://doi.org/10.1177/14738716231158046
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 5:883-893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80bad0e3644d7d6cab55d53485f3f8ac
https://doi.org/10.25046/aj0506105
https://doi.org/10.25046/aj0506105
Publikováno v:
2021 40th International Conference of the Chilean Computer Science Society (SCCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cab18455df536e45bf4cf6ee0a90844
https://doi.org/10.1109/sccc54552.2021.9650412
https://doi.org/10.1109/sccc54552.2021.9650412