Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Luigi Lomasto"'
Publikováno v:
Innovative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education ISBN: 9783031215681
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286e5adf38d271a91d83b2be51d4890e
https://hdl.handle.net/10807/229290
https://hdl.handle.net/10807/229290
Publikováno v:
Information Sciences. 578:364-377
The work proposes a new method to detect influential news in online communities. Influential news are articles that induce shifts in users’ opinions or, in general, lead to a polarization of opinions or change like-mindedness of users. The method a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03540c79041e6859658967c2c9dc3228
https://doi.org/10.1016/j.ins.2021.07.014
https://doi.org/10.1016/j.ins.2021.07.014
The paper presents and evaluates an approach based on Rough Set Theory, and some variants and extensions of this theory, to analyze phenomena related to Information Disorder. The main concepts and constructs of Rough Set Theory, such as lower and upp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e432fcb1cc22c928e2b70aac525b6a80
https://hdl.handle.net/11386/4811351
https://hdl.handle.net/11386/4811351
Autor:
Diego Rossi, Victor Ströele, Regina Braga, Santi Caballé, Nicola Capuano, Fernanda Campos, Mário Dantas, Luigi Lomasto, Daniele Toti
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030906764
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::000f8635e4ef9cd24aa25cff4a3acaab
https://doi.org/10.1007/978-3-030-90677-1_41
https://doi.org/10.1007/978-3-030-90677-1_41
Autor:
Danielle Toti, Santi Caballé, Luigi Lomasto, Diego Rossi, Nicola Capuano, Mario A. R. Dantas, Regina Braga, Victor Ströele, Fernanda Campos
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030906764
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Massive Open Online Courses (MOOCs) make up a teaching modality that aims to reach a large number of students using Virtual Learning Environments. In these courses, the intervention of tutors and teachers is essential to support students in the teach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2366009b50fa8bced9d179ddfe4fd3bf
Autor:
Andrea Ciapetti, Giulia Ruggiero, Luigi Lomasto, Daniele Toti, Rosario Di Florio, Giuseppe Miscione
Publikováno v:
Enterprise Information Systems ISBN: 9783030407827
ICEIS (Revised Selected Papers)
ICEIS (Revised Selected Papers)
This work describes an automatic text classification method implemented in a software tool called NETHIC, which takes advantage of the inner capabilities of highly-scalable neural networks combined with the expressiveness of hierarchical taxonomies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78cfa5eb3f58d6f07539e6a0cea5ef63
http://hdl.handle.net/10807/163941
http://hdl.handle.net/10807/163941
Publikováno v:
VL/HCC
We present the design and the evaluation of a soft keyboard aimed at facilitating the input of programming code on mobile devices equipped with touch screens, such as tablets and smartphones. Besides the traditional tap on a key interaction, the keyb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d144f0b5c6b03ae7c9707e0a20c662
https://doi.org/10.1109/vlhcc.2018.8506501
https://doi.org/10.1109/vlhcc.2018.8506501
NETHIC: A System for Automatic Text Classification using Neural Networks and Hierarchical Taxonomies
Autor:
Rosario Di Florio, Luigi Lomasto, Daniele Toti, Giuseppe Miscione, Andrea Ciapetti, Giulia Ruggiero
Publikováno v:
Scopus-Elsevier
ICEIS (1)
ICEIS (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0df1749b6fd3d500b0500fea427465c
http://www.scopus.com/inward/record.url?eid=2-s2.0-85067447556&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85067447556&partnerID=MN8TOARS