Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Longo, Luca"'
Autor:
Rizzo, Lucas, Longo, Luca
This paper presents a novel framework for structured argumentation, named extend argumentative decision graph ($xADG$). It is an extension of argumentative decision graphs built upon Dung's abstract argumentation graphs. The $xADG$ framework allows f
Externí odkaz:
http://arxiv.org/abs/2306.15500
In audio processing applications, the generation of expressive sounds based on high-level representations demonstrates a high demand. These representations can be used to manipulate the timbre and influence the synthesis of creative instrumental note
Externí odkaz:
http://arxiv.org/abs/2301.07665
Autor:
Longo, Luca
The principal reason for measuring mental workload is to quantify the cognitive cost of performing tasks to predict human performance. Unfortunately, a method for assessing mental workload that has general applicability does not exist yet. This resea
Externí odkaz:
http://arxiv.org/abs/2209.10992
Publikováno v:
Semantic Web, vol. Pre-press, no. Pre-press, pp. 1-42, 2022
Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its own. As successful as deep learning has been, it is generally accepted that e
Externí odkaz:
http://arxiv.org/abs/2202.12205
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload
Autor:
Raufi, Bujar, Longo, Luca
Many research works indicate that EEG bands, specifically the alpha and theta bands, have been potentially helpful cognitive load indicators. However, minimal research exists to validate this claim. This study aims to assess and analyze the impact of
Externí odkaz:
http://arxiv.org/abs/2202.12937
Autor:
Vilone, Giulia, Longo, Luca
Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few years. This is due to the widespread application of machine learning, particularly deep learning, that has led to the development of highly accurate mode
Externí odkaz:
http://arxiv.org/abs/2006.00093
Publikováno v:
Conference Papers
In audio processing applications, the generation of expressive sounds based on high-level representations demonstrates a high demand. These representations can be used to manipulate the timbre and influence the synthesis of creative instrumental note
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f8b5f4ff1164c0587fef6b70850e9f