Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Vanina Martinez"'
Autor:
Paola Daniela Budán, Melisa Gisselle Escañuela Gonzalez, Maximiliano Celmo David Budán, Maria Vanina Martinez, Guillermo Ricardo Simari
Publikováno v:
Argument & Computation, Pp 1-51 (2023)
We present a novel argumentation-based method for finding and analyzing communities in social media on the Web, where a community is regarded as a set of supported opinions that might be in conflict. Based on their stance, we identify argumentative c
Externí odkaz:
https://doaj.org/article/f8e876faffba4cb99fd71886c0c15a53
Autor:
Deagustini, Cristhian A.D., Teze, Juan Carlos L., Vanina Martinez, M., Falappa, Marcelo A., Simari, Guillermo R.
Publikováno v:
In Information Sciences May 2021 555:236-259
Autor:
Paola Daniela Budán, Melisa Gisselle Escañuela Gonzalez, Maximiliano Celmo David Budán, Maria Vanina Martinez, Guillermo Ricardo Simari
Publikováno v:
Argument & Computation, Vol 11, Iss 1-2, Pp 103-149 (2020)
The notion of similarity has been studied in many areas of Computer Science; in a general sense, this concept is defined to provide a measure of the semantic equivalence between two pieces of knowledge, expressing how “close” their meaning can be
Externí odkaz:
https://doaj.org/article/6476ce386ef443c088e5ce15279c8225
Publikováno v:
Semantic Web. :1-30
The role of explanations in intelligent systems has in the last few years entered the spotlight as AI-based solutions appear in an ever-growing set of applications. Though data-driven (or machine learning) techniques are often used as examples of how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19e61685604124c5bcfa47e6abfedff1
https://doi.org/10.3233/sw-233297
https://doi.org/10.3233/sw-233297
Autor:
Zhenghua Xu, Oana Tifrea-Marciuska, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Cheng Chen
Publikováno v:
IEEE Access, Vol 6, Pp 35590-35610 (2018)
With the rapid growth of social tagging systems, many research efforts are being put into personalized search and recommendation using social tags (i.e., folksonomies). As users can freely choose their own vocabulary, social tags can be very ambiguou
Externí odkaz:
https://doaj.org/article/742a615a97b3437085ab55ec0b31391e
Publikováno v:
Future Generation Computer Systems. 125:232-246
Among the wide variety of malicious behavior commonly observed in modern social platforms, one of the most notorious is the diffusion of fake news, given its potential to influence the opinions of millions of people who can be voters, consumers, or s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e56942f4b32da0c7d1c7581acce7dec3
https://doi.org/10.1016/j.future.2021.06.033
https://doi.org/10.1016/j.future.2021.06.033
Autor:
Gaston E, Zanitti, Yamil, Soto, Valentin, Iovene, Maria Vanina, Martinez, Ricardo O, Rodriguez, Gerardo I, Simari, Demian, Wassermann
Publikováno v:
Neuroinformatics.
Researchers in neuroscience have a growing number of datasets available to study the brain, which is made possible by recent technological advances. Given the extent to which the brain has been studied, there is also available ontological knowledge e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a81d99cb8b09c40a40425f15c1c42371
https://pubmed.ncbi.nlm.nih.gov/36445568
https://pubmed.ncbi.nlm.nih.gov/36445568
Autor:
Thomas Lukasiewicz, Enrico Malizia, Maria Vanina Martinez, Cristian Molinaro, Andreas Pieris, Gerardo I. Simari
Querying inconsistent knowledge bases is an intriguing problem that gave rise to a flourishing research activity in the knowledge representation and reasoning community during the last years. It has been extensively studied in the context of descrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c567b7ae5609046270778ee0f473e20
https://hdl.handle.net/11585/879287
https://hdl.handle.net/11585/879287
Publikováno v:
Cognitive Computation. 13:1198-1214
The Big-5/OCEAN personality traits model, one of the central approaches to psychometrics, has been shown to have many applications over a variety of disciplines. In particular, correlations have been studied leading to effective characterization of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50799d683a957ee52826806a15608001
https://doi.org/10.1007/s12559-021-09866-1
https://doi.org/10.1007/s12559-021-09866-1
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Generating counterfactuals to discover hypothetical predictive scenarios is the de facto standard for explaining machine learning models and their predictions. However, building a counterfactual explainer that is time-efficient, scalable, and model-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adfc7d923c750e8592e5f08d09dbe5bb
https://doi.org/10.24963/ijcai.2022/104
https://doi.org/10.24963/ijcai.2022/104