Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Lucas Rizzo"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 2049-2073 (2024)
Explainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-making processes to build user trust and promote responsible AI. Hence, a key scientific challenge in XAI is the development of methods that generate transparent
Externí odkaz:
https://doaj.org/article/649ade1d712b48b79b5424817e2249d5
Autor:
Lucas Rizzo, Luca Longo
Publikováno v:
Data in Brief, Vol 30, Iss , Pp 105433- (2020)
Mental workload (MWL) is an imprecise construct, with distinct definitions and no predominant measurement technique. It can be intuitively seen as the amount of mental activity devoted to a certain task over time. Several approaches have been propose
Externí odkaz:
https://doaj.org/article/8c7cd2e1b1df49c1bba20dc9188d3286
Autor:
Lucas Rizzo, Luca Longo
Publikováno v:
Articles
Dealing with uncertain, contradicting, and ambiguous information is still a central issue in Artificial Intelligence (AI). As a result, many formalisms have been proposed or adapted so as to consider non-monotonicity. A non-monotonic formalism is one
Autor:
Ana Vitoria Feitosa Barroso Maia, Leandro Guimarães Borges, Bruna Portela Andrade Cardoso, Arthur da Rocha Nogueira, Lucas Rizzo Marques, Giovanna Cristina de Castro Martin, Júlia Barbosa Rodrigues, Myrela Murad Sampaio, Grace Kelly Lima de Farias, Ariane da Silva Sousa, Jaysla Ravenna Oliveira Andrade, Mateus Sousa Gonçalves, Anyelle o Araújo Cardoso Bento, Cleison de Souza Avelar, Danillo Escócio de Souza, Antônio Lucas Ferreira Alcântara, Guilherme Augusto Brito Bucar Oliveira, Ana Valéria Brandão de Sá Costa, David Sandro Araújo Rodrigues, Danielle Cavalcante Cruz Almeida, Natália Murad Schmitt, Natália Miranda Machado
Publikováno v:
E-Acadêmica. 3:e7732247
Considerando-se a situação atual mundial, marcada por importantes crises na saúde pública e, mais recentemente, a pandemia causada pela COVID-19. O presente artigo buscou reunir informações e achados de pesquisa a respeito do impacto de tais cr
Publikováno v:
Articles
Knowledge-representation and reasoning methods have been extensively researched within Artificial Intelligence. Among these, argumentation has emerged as an ideal paradigm for inference under uncertainty with conflicting knowledge. Its value has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e672a74c4bfee61c71149d6b7c983b79
https://arrow.tudublin.ie/context/scschcomart/article/1120/viewcontent/Longo2020.pdf
https://arrow.tudublin.ie/context/scschcomart/article/1120/viewcontent/Longo2020.pdf
Publikováno v:
Scopus-Elsevier
Articles
Articles
Argumentation has recently shown appealing properties for inference under uncertainty and conflicting knowledge. However, there is a lack of studies focused on the examination of its capacity of exploiting real-world knowledge bases for performing qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ae84082bf3d0da8b05e2612b0844b4
Autor:
Luca Longo, Lucas Rizzo
Publikováno v:
Data in Brief, Vol 30, Iss, Pp 105433-(2020)
Data in Brief
Articles
Data in Brief
Articles
Mental workload (MWL) is an imprecise construct, with distinct definitions and no predominant measurement technique. It can be intuitively seen as the amount of mental activity devoted to a certain task over time. Several approaches have been propose
Autor:
Michael, Maes, Joao Victor, Nani, Cristiano, Noto, Lucas, Rizzo, Mirian A F, Hayashi, Elisa, Brietzke
Publikováno v:
Molecular neurobiology. 58(1)
There is now evidence that, based on cytokine profiles, bipolar disorder (BD) is accompanied by simultaneous activation of the immune-inflammatory response system (IRS) and the compensatory immune-regulatory system (CIRS), and that both components ma
Publikováno v:
Articles
Scopus-Elsevier
Scopus-Elsevier
This paper proposes a novel machine learning procedure for genome-wide association study (GWAS), named LightGWAS. It is based on the LightGBM framework, in addition to being a single, resilient, autonomous and scalable solution to address common limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8255f0621dbc746d6b87febfb17162e2
Autor:
Lucas Rizzo, Luca Longo
Publikováno v:
Articles
Several non-monotonic formalisms exist in the field of Artificial Intelligence for reasoning under uncertainty. Many of these are deductive and knowledge-driven, and also employ procedural and semi-declarative techniques for inferential purposes. Non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132404dd3637871abbfcd7b32dd4856c
https://arrow.tudublin.ie/context/scschcomart/article/1104/viewcontent/An_empirical_evaluation__1_.pdf
https://arrow.tudublin.ie/context/scschcomart/article/1104/viewcontent/An_empirical_evaluation__1_.pdf