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pro vyhledávání: '"Porreca, P."'
Autor:
Porreca, Annamaria, Ventre, Viviana, Martino, Roberta, Rambaud, Salvador Cruz, Maturo, Fabrizio
Classical finance models are based on the premise that investors act rationally and utilize all available information when making portfolio decisions. However, these models often fail to capture the anomalies observed in intertemporal choices and dec
Externí odkaz:
http://arxiv.org/abs/2410.16307
Autor:
Maturo, Fabrizio, Porreca, Annamaria
The positioning of this research falls within the scalar-on-function classification literature, a field of significant interest across various domains, particularly in statistics, mathematics, and computer science. This study introduces an advanced m
Externí odkaz:
http://arxiv.org/abs/2409.17804
Autor:
Maturo, Fabrizio, Porreca, Annamaria
This paper introduces a novel supervised classification strategy that integrates functional data analysis (FDA) with tree-based methods, addressing the challenges of high-dimensional data and enhancing the classification performance of existing funct
Externí odkaz:
http://arxiv.org/abs/2408.13179
Autor:
Maturo, Fabrizio, Porreca, Annamaria
The advent of big data has raised significant challenges in analysing high-dimensional datasets across various domains such as medicine, ecology, and economics. Functional Data Analysis (FDA) has proven to be a robust framework for addressing these c
Externí odkaz:
http://arxiv.org/abs/2408.12288
Publikováno v:
Int. J. Approx. Reasoning, 176 (2025), 109319.
Social network analysis (SNA) helps us understand the relationships and interactions between individuals, groups, organizations, or other social entities. In the literature, ties are generally considered binary or weighted based on their strength. No
Externí odkaz:
http://arxiv.org/abs/2407.02401
Autor:
Andrea Franchetto
Publikováno v:
Correspondences, Vol 8, Iss 1, Pp 121-127 (2020)
Externí odkaz:
https://doaj.org/article/4706abf28e4a45d7a62c386fb9f36117
In the rapidly evolving digital technology landscape, community-oriented wearable computing systems are emerging as a key tool for enhancing connectivity and interaction within communal spaces. This paper contributes to this burgeoning field by prese
Externí odkaz:
http://arxiv.org/abs/2406.02311
Autor:
Porreca, Antonio E.
Many unconventional computing models, including some that appear to be quite different from traditional ones such as Turing machines, happen to characterise either the complexity class P or PSPACE when working in deterministic polynomial time (and in
Externí odkaz:
http://arxiv.org/abs/2405.16896
Publikováno v:
LNCS 14782 (2024) 120-132
Finite discrete-time dynamical systems (FDDS) model phenomena that evolve deterministically in discrete time. It is possible to define sum and product operations on these systems (disjoint union and direct product, respectively) giving a commutative
Externí odkaz:
http://arxiv.org/abs/2405.09236
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