Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ivano Bison"'
Autor:
Nicolò Alessandro Girardini, Simone Centellegher, Andrea Passerini, Ivano Bison, Fausto Giunchiglia, Bruno Lepri
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-22 (2023)
Abstract One population group that had to significantly adapt and change their behaviour during the COVID-19 pandemic is students. While previous studies have extensively investigated the impact of the pandemic on their psychological well-being and a
Externí odkaz:
https://doaj.org/article/db674468c3a643e88f0bcbba5ad854fc
Autor:
Wanyi Zhang, Qiang Shen, Stefano Teso, Bruno Lepri, Andrea Passerini, Ivano Bison, Fausto Giunchiglia
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-22 (2021)
Abstract Various studies have investigated the predictability of different aspects of human behavior such as mobility patterns, social interactions, and shopping and online behaviors. However, the existing researches have been often limited to a sing
Externí odkaz:
https://doaj.org/article/4f95591bb5b24cfebb8b5ac2808029af
Publikováno v:
CLEI Electronic Journal, Vol 25, Iss 2 (2022)
In the context of the project "WeNet: Internet of us" we are studying the role of diversity in relation to Internet-mediated social interactions. In this paper, in particular, we analyze a possible relationship between personality aspects and social
Externí odkaz:
https://doaj.org/article/5f9883e8e438436dbe334f60f971f62a
Autor:
Ivano Bison
Publikováno v:
Quaderni di Sociologia, Vol 74, Pp 33-52 (2017)
This article analyse the preferences and constraints that underlie the choice of fields of study made by 2333 students enrolled at the University of Trento in the academic year 2014/15 through a family of statistical models known in the literature as
Externí odkaz:
https://doaj.org/article/43af87b2d01a41d9ae52171238d30aa3
Autor:
Ivano Bison
Publikováno v:
SocietàMutamentoPolitica: Rivista Italiana di Sociologia, Vol 4, Iss 7 (2013)
In this contribution three different Istat dataset on Families and Social Subjects (1998, 2003 and 2009) are analyzed in order to assess the evolution of middle class. The article also tries to understand how change in productive system transformed t
Externí odkaz:
https://doaj.org/article/6711237a0ed848f5834082d3ac907db0
Autor:
Ivano Bison
Publikováno v:
SocietàMutamentoPolitica: Rivista Italiana di Sociologia, Vol 4, Iss 7 (2013)
Externí odkaz:
https://doaj.org/article/95641cc66da84b62b8f075fbf3b97538
Autor:
Ivano Bison
Publikováno v:
Methodological Innovations, Vol 4 (2009)
There is increasing interest in, and use of, Optimal Matching techniques in sequence analysis. In recent years especially, both the uses and the software tools that enable this type of analysis have multiplied. Taking up Abbott's inheritance, many sc
Externí odkaz:
https://doaj.org/article/243a3905ce1b4f21a194ed98d38f9ccb
Publikováno v:
Journal of Official Statistics, Vol 37, Iss 2, Pp 341-365 (2021)
Journal of Official Statistics
Journal of Official Statistics
This article assesses the experience with i-Log at the European Big Data Hackathon 2019, a satellite event of the New Techniques and Technologies for Statistics (NTTS) conference, organised by Eurostat. i-Log is a system that enables capturing person
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95388c1a86cdaf0cd22abbeb58cf3836
https://doi.org/10.2478/jos-2021-0015
https://doi.org/10.2478/jos-2021-0015
Autor:
Salvador Ruiz-Correa, Fausto Giunchiglia, Lakmal Meegahapola, Ivano Bison, Matteo Busso, Laura Schelenz, Daniel Gatica-Perez, Amalia De Götzen
Publikováno v:
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
AIES
Schelenz, L, Busso, M, Bison, I, De Götzen, A, Gatica-Perez, D, Giunchiglia, F, Meegahapola, L & Ruiz-Correa, S 2021, The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations . in AIES 2021-Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society . Association for Computing Machinery, pp. 905-915, AIES' 21: AAAI/ACM conference on Artificial Intelligence, Ethics, and Society, United States, 19/05/2021 . https://doi.org/10.1145/3461702.3462595
AIES
Schelenz, L, Busso, M, Bison, I, De Götzen, A, Gatica-Perez, D, Giunchiglia, F, Meegahapola, L & Ruiz-Correa, S 2021, The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations . in AIES 2021-Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society . Association for Computing Machinery, pp. 905-915, AIES' 21: AAAI/ACM conference on Artificial Intelligence, Ethics, and Society, United States, 19/05/2021 . https://doi.org/10.1145/3461702.3462595
Diversity-aware platform design is a paradigm that responds to the ethical challenges of existing social media platforms. Available platforms have been criticized for minimizing users' autonomy, marginalizing minorities, and exploiting users' data fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aec488be91174b02eb5d3da3299f358
http://arxiv.org/abs/2202.12700
http://arxiv.org/abs/2202.12700
Autor:
Lakmal Meegahapola, William Droz, Peter Kun, Amalia de Götzen, Chaitanya Nutakki, Shyam Diwakar, Salvador Ruiz Correa, Donglei Song, Hao Xu, Miriam Bidoglia, George Gaskell, Altangerel Chagnaa, Amarsanaa Ganbold, Tsolmon Zundui, Carlo Caprini, Daniele Miorandi, Alethia Hume, Jose Luis Zarza, Luca Cernuzzi, Ivano Bison, Marcelo Rodas Britez, Matteo Busso, Ronald Chenu-Abente, Can Günel, Fausto Giunchiglia, Laura Schelenz, Daniel Gatica-Perez
Publikováno v:
Meegahapola, L, Droz, W, Kun, P, de Götzen, A, Nutakki, C, Diwakar, S, Ruiz-Correa, S, Song, D, Xu, H, Bidoglia, M, Gaskell, G, Chagnaa, A, Ganbold, A, Zundui, T, Caprini, C, Miorandi, D, Hume, A, Zarza, J L, Cernuzzi, L, Bison, I, Rodas Britez, M, Busso, M, Chenu-Abente, R, Günel, C, Giunchiglia, F, Schelenz, L & Gatica-Perez, D 2022, ' Generalization and Personalization of Mobile Sensing-Based Mood Inference Models : An Analysis of College Students in Eight Countries ', Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 6, no. 4, 176, pp. 1-32 . https://doi.org/10.1145/3569483
Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in general mobile apps and valuable feedback and interventions in mobile healt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aae99099ea0abb1aefd2aeec71e0d88