Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Marinos, Poiitis"'
Publikováno v:
World Wide Web. 25:2429-2453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7462f6192974fb2edd9107c28aacafeb
https://doi.org/10.1007/s11280-021-00986-0
https://doi.org/10.1007/s11280-021-00986-0
Publikováno v:
ACM Transactions on the Web. 16:1-24
Aggression in online social networks has been studied mostly from the perspective of machine learning, which detects such behavior in a static context. However, the way aggression diffuses in the network has received little attention as it embeds mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16515b6cc6f5112184290a723f14c5a0
https://doi.org/10.1145/3486218
https://doi.org/10.1145/3486218
Autor:
Zoe, Valero-Ramon, Pedro, Louro, Luis, Irio, Ilias, Dimitriadis, Marinos, Poiitis, Theodoros, Toliopoulos, Paraskevas, Lagakis, Georgios, Petridis, Nikolaos, Papachristou, Francisco J, Núñez-Benjumea, Santiago, Hors-Fraile, Athena, Vakali, Anastasios, Gounaris, Dany, Shapiro, Juan-Carlos, Naranjo, Sofia, Levva, Antonis, Billis, Vicente, Traver, Panagiotis, Bamidis
Publikováno v:
Studies in health technology and informatics. 290
Within the most recent years, most of the cancer patients are older age, which implies the necessity to a better understanding of aging and cancer connection. This work presents the LifeChamps solution built on top of cutting-edge Big Data architectu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ea08588a8ee8fa038a351171d3f2bb46
https://pubmed.ncbi.nlm.nih.gov/35673179
https://pubmed.ncbi.nlm.nih.gov/35673179
Publikováno v:
WIMS
Given a node-attributed network of Twitter users, can we capture their posting behavior over time and identify patterns that could probably describe, model or predict their activity? Based on the assumption that the posts of these users are topic-spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::121d6dc5da10b1bfc2957b96402641db
https://doi.org/10.1145/3405962.3405998
https://doi.org/10.1145/3405962.3405998
Autor:
Zoe Valero-Ramon, Pedro Louro, Luis Irio, Ilias Dimitriadis, Marinos Poiitis, Theodoros Toliopoulos, Paraskevas Lagakis, Georgios Petridis, Nikolaos Papachristou, Francisco J. Núñez-Benjumea, Santiago Hors-Fraile, Athena Vakali, Anastasios Gounaris, Dany Shapiro, Juan-Carlos Naranjo, Sofia Levva, Antonis Billis, Vicente Traver, Panagiotis Bamidis
Publikováno v:
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics-MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation
Studies in Health Technology and Informatics-MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation
Within the most recent years, most of the cancer patients are older age, which implies the necessity to a better understanding of aging and cancer connection. This work presents the LifeChamps solution built on top of cutting-edge Big Data architectu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21fbf3084c472d855eb01a05a0d5c873
