Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Marco A. Marini"'
Autor:
Iwan Bos, Marco A. Marini
Publikováno v:
Games, Vol 14, Iss 1, p 3 (2022)
This paper examines a homogeneous-good Bertrand–Edgeworth oligopoly model to explore the role of firm size and number in pricing. We consider the price impact of merger, break up, investment, divestment, entry and exit. A merger leads to higher pri
Externí odkaz:
https://doaj.org/article/946cb97d24bb461ea4163b9680813e52
Publikováno v:
Games, Vol 9, Iss 1, p 6 (2018)
One of the standard predictions of the agency theory is that more incentives can be given to agents with lower risk aversion. In this paper, we show that this relationship may be absent or reversed when the technology is endogenous and projects with
Externí odkaz:
https://doaj.org/article/34f34f3ab6b84a2da9cc5e7488915fa5
Autor:
Roberta Manzollino, Saverio Giulio Malatesta, Danilo Avola, Luigi Cinque, Antonietta Del Bove, Laura Leopardi, Marco Raoul Marini
Publikováno v:
Heritage; Volume 6; Issue 5; Pages: 4120-4133
Over the last years, the exponential progress of technology introduced a broader population of researchers and developers to the use of Virtual Reality (VR) devices in numerous contexts, e.g., gaming, simulations, and culture dissemination. Recently,
Autor:
Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
Information, Vol 13, Iss 1, p 2 (2021)
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite
Externí odkaz:
https://doaj.org/article/0f123e680dc34b00b108660b71a65289
Autor:
Michael Kopel, Marco A. Marini
Publikováno v:
Journal of Economic Behavior & Organization. 199:65-85
Autor:
Simone Antonelli, Danilo Avola, Luigi Cinque, Donato Crisostomi, Gian Luca Foresti, Fabio Galasso, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
ACM Computing Surveys. 54:1-37
Deep learning approaches have recently raised the bar in many fields, from Natural Language Processing to Computer Vision, by leveraging large amounts of data. However, they could fail when the retrieved information is not enough to fit the vast numb
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Pattern Recognition Letters. 150:189-196
Handwritten signatures are a widespread biometric trait for person identification and verification. Reliable authentication and authorization of individuals are, however, challenging tasks due to possible skilled forgeries; especially when a forger h
Autor:
Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Publikováno v:
Information, Vol 13, Iss 2, p 2 (2022)
Information; Volume 13; Issue 1; Pages: 2
Information; Volume 13; Issue 1; Pages: 2
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite