Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Salvatore Citraro"'
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-22 (2023)
Abstract Conceptual associations influence how human memory is structured: Cognitive research indicates that similar concepts tend to be recalled one after another. Semantic network accounts provide a useful tool to understand how related concepts ar
Externí odkaz:
https://doaj.org/article/dfeb897300a94d1094dfb5449be91fbc
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-19 (2023)
Abstract Recent advances in network science have resulted in two distinct research directions aimed at augmenting and enhancing representations for complex networks. The first direction, that of high-order modeling, aims to focus on connectivity betw
Externí odkaz:
https://doaj.org/article/5f950a496ce14982ba5d4aaea1e28eb0
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Knowledge in the human mind exhibits a dualistic vector/network nature. Modelling words as vectors is key to natural language processing, whereas networks of word associations can map the nature of semantic memory. We reconcile these paradig
Externí odkaz:
https://doaj.org/article/afef710e3b8847818569167288198c2d
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 3, p 124 (2023)
Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereotypes, which originate in our own flawed ways of t
Externí odkaz:
https://doaj.org/article/5f6fd95dc7dc42ecb9f0e24e425a72ed
Autor:
Salvatore Citraro, Giulio Rossetti
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-20 (2020)
Abstract Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a challenging task presenting Eva, an algorithmic approach designed t
Externí odkaz:
https://doaj.org/article/b60983c3f9ca40a4af42bad6ee3704d0
Publikováno v:
Big Data and Cognitive Computing; Volume 7; Issue 3; Pages: 124
Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereotypes, which originate in our own flawed ways of t
Autor:
Katherine Elizabeth Abramski, Salvatore Citraro, Luigi Lombardi, Giulio Rossetti, Massimo Stella
Large language models are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereotypes, which originate in our own flawed ways of thinking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ea387e7bef64e47420b9552d052018f
https://doi.org/10.31234/osf.io/27u6z
https://doi.org/10.31234/osf.io/27u6z
Publikováno v:
Physica. A
610 (2023). doi:10.1016/j.physa.2022.128336
610 (2023). doi:10.1016/j.physa.2022.128336
Writing messages is key to expressing feelings. This study adopts cognitive network science to reconstruct how individuals report their feelings in clinical narratives like suicide notes or mental health posts. We achieve this by reconstructing synta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a92939197c4cdcac6194a1a8950116c
https://openportal.isti.cnr.it/doc?id=people______::ebc23564d95a56e1d56b4fce713f6304
https://openportal.isti.cnr.it/doc?id=people______::ebc23564d95a56e1d56b4fce713f6304
Publikováno v:
COMPLEX NETWORKS 2022-Eleventh International Conference on Complex Networks and Their Applications, pp. 150–161, Palermo, Italy, 08-10/11/2022
Complex Networks and Their Applications XI ISBN: 9783031211263
Complex Networks and Their Applications XI ISBN: 9783031211263
Complex networks are solid models to describe human behavior. However, most analyses employing them are bounded to observations made on dyadic connectivity, whereas complex human dynamics involve higher-order relations as well. In the last few years,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9aa7f68ef0e8c0e5e2f40c68f5ceae
https://openportal.isti.cnr.it/doc?id=people______::2e4f5dc7508d62437c67f3e5e6e176fe
https://openportal.isti.cnr.it/doc?id=people______::2e4f5dc7508d62437c67f3e5e6e176fe
Publikováno v:
IEEE Intelligent Systems
IEEE intelligent systems 36 (2021): 25–34. doi:10.1109/MIS.2021.3051291
info:cnr-pdr/source/autori:Rossetti G.; Citraro S.; Milli L./titolo:Conformity: a Path-Aware Homophily Measure for Node-Attributed Networks/doi:10.1109%2FMIS.2021.3051291/rivista:IEEE intelligent systems/anno:2021/pagina_da:25/pagina_a:34/intervallo_pagine:25–34/volume:36
IEEE intelligent systems 36 (2021): 25–34. doi:10.1109/MIS.2021.3051291
info:cnr-pdr/source/autori:Rossetti G.; Citraro S.; Milli L./titolo:Conformity: a Path-Aware Homophily Measure for Node-Attributed Networks/doi:10.1109%2FMIS.2021.3051291/rivista:IEEE intelligent systems/anno:2021/pagina_da:25/pagina_a:34/intervallo_pagine:25–34/volume:36
Unveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached studying the assortative mixing of node attributes. Recent works underlined that