Mining smartphone data for app usage prediction and recommendations: A survey
H Cao, M Lin - Pervasive and Mobile Computing, 2017 - Elsevier
Smartphones nowadays have become indispensable personal gadgets to support our
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …
Privacy-preserving sensor-based continuous authentication and user profiling: a review
L Hernández-Álvarez, JM de Fuentes… - Sensors, 2020 - mdpi.com
Ensuring the confidentiality of private data stored in our technological devices is a
fundamental aspect for protecting our personal and professional information. Authentication …
fundamental aspect for protecting our personal and professional information. Authentication …
[HTML][HTML] Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis …
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …
assessment methods using self-reported and clinician-administered questionnaires have …
How age and gender affect smartphone usage
Smartphone usage is a hot topic in pervasive computing due to their popularity and personal
aspect. We present our initial results from analyzing how individual differences, such as …
aspect. We present our initial results from analyzing how individual differences, such as …
CrowdRecruiter: Selecting participants for piggyback crowdsensing under probabilistic coverage constraint
This paper proposes a novel participant selection framework, named CrowdRecruiter, for
mobile crowdsensing. CrowdRecruiter operates on top of energy-efficient Piggyback …
mobile crowdsensing. CrowdRecruiter operates on top of energy-efficient Piggyback …
Device analyzer: Understanding smartphone usage
Abstract We describe Device Analyzer, a robust data collection tool which is able to reliably
collect information on Android smartphone usage from an open community of contributors …
collect information on Android smartphone usage from an open community of contributors …
Crowdtasker: Maximizing coverage quality in piggyback crowdsensing under budget constraint
This paper proposes a novel task allocation framework, CrowdTasker, for mobile
crowdsensing. CrowdTasker operates on top of energy-efficient Piggyback Crowdsensing …
crowdsensing. CrowdTasker operates on top of energy-efficient Piggyback Crowdsensing …
PKN2 in colon cancer cells inhibits M2 phenotype polarization of tumor-associated macrophages via regulating DUSP6-Erk1/2 pathway
Y Cheng, Y Zhu, J Xu, M Yang, P Chen, W Xu, J Zhao… - Molecular cancer, 2018 - Springer
Abstract Background Protein kinase N2 (PKN2) is a PKC-related serine/threonine-protein
kinase. PKN2 is required for tumor cell migration, invasion and apoptosis. However, the …
kinase. PKN2 is required for tumor cell migration, invasion and apoptosis. However, the …
Security metrics for the android ecosystem
The security of Android depends on the timely delivery of updates to fix critical
vulnerabilities. In this paper we map the complex network of players in the Android …
vulnerabilities. In this paper we map the complex network of players in the Android …
Scalable daily human behavioral pattern mining from multivariate temporal data
This work introduces a set of scalable algorithms to identify patterns of human daily
behaviors. These patterns are extracted from multivariate temporal data that have been …
behaviors. These patterns are extracted from multivariate temporal data that have been …