A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy
S Ribeiro-Navarrete, JR Saura… - … Forecasting and Social …, 2021 - Elsevier
Controlling the coronavirus pandemic is triggering a cross-border strategy by which national
governments attempt to control the spread of the COVID-19 pandemic. A response based on …
governments attempt to control the spread of the COVID-19 pandemic. A response based on …
[HTML][HTML] Learning from others without sacrificing privacy: simulation comparing centralized and federated machine learning on mobile health data
Background The use of wearables facilitates data collection at a previously unobtainable
scale, enabling the construction of complex predictive models with the potential to improve …
scale, enabling the construction of complex predictive models with the potential to improve …
Privacy concerns about personalized advertising across multiple social media platforms in Japan: The relationship with information control and persuasion knowledge
M Morimoto - International Journal of Advertising, 2021 - Taylor & Francis
This study examines the relationship between persuasion knowledge and personalized
advertising-related outcomes, such as ad avoidance and attitudes toward personalized …
advertising-related outcomes, such as ad avoidance and attitudes toward personalized …
Personal data stores (PDS): a review
KU Fallatah, M Barhamgi, C Perera - Sensors, 2023 - mdpi.com
Internet services have collected our personal data since their inception. In the beginning, the
personal data collection was uncoordinated and was limited to a few selected data types …
personal data collection was uncoordinated and was limited to a few selected data types …
[PDF][PDF] Deep learning for human mobility: a survey on data and models
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
Digital methods I: Wicked tensions
A Leszczynski - Progress in Human Geography, 2018 - journals.sagepub.com
In this first of three reports, I engage with 'digital methods' as methodologies or approaches
to knowing and making sense of the world. Triangulation and representativeness are two …
to knowing and making sense of the world. Triangulation and representativeness are two …
How does digital technology impact on the co-production of local services? Evidence from a childcare experience
IMPACT When designing technology to support the co-production of a public service,
focusing on the functional role alone will limit the value of the exercise. This paper describes …
focusing on the functional role alone will limit the value of the exercise. This paper describes …
An information-aware visualization for privacy-preserving accelerometer data sharing
F **ao, M Lu, Y Zhao, S Menasria, D Meng… - … -centric Computing and …, 2018 - Springer
In the age of big data, plenty of valuable sensing data have been shared to enhance
scientific innovation. However, this may cause unexpected privacy leakage. Although …
scientific innovation. However, this may cause unexpected privacy leakage. Although …
Online self-disclosure: An interdisciplinary literature review of 10 years of research
T Ashuri, R Halperin - New Media & Society, 2024 - journals.sagepub.com
The term “self-disclosure” refers to actions by which individuals reveal information about
themselves. The interest in such conduct has resurged with the development of networked …
themselves. The interest in such conduct has resurged with the development of networked …