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 …

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 …

[HTML][HTML] Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis …

K Opoku Asare, Y Terhorst, J Vega… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

How age and gender affect smartphone usage

I Andone, K Błaszkiewicz, M Eibes… - Proceedings of the …, 2016 - dl.acm.org
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 …

CrowdRecruiter: Selecting participants for piggyback crowdsensing under probabilistic coverage constraint

D Zhang, H **ong, L Wang, G Chen - Proceedings of the 2014 ACM …, 2014 - dl.acm.org
This paper proposes a novel participant selection framework, named CrowdRecruiter, for
mobile crowdsensing. CrowdRecruiter operates on top of energy-efficient Piggyback …

Device analyzer: Understanding smartphone usage

DT Wagner, A Rice, AR Beresford - … 2013, Tokyo, Japan, December 2-4 …, 2014 - Springer
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 …

Crowdtasker: Maximizing coverage quality in piggyback crowdsensing under budget constraint

H **ong, D Zhang, G Chen, L Wang… - 2015 IEEE …, 2015 - ieeexplore.ieee.org
This paper proposes a novel task allocation framework, CrowdTasker, for mobile
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 …

Security metrics for the android ecosystem

DR Thomas, AR Beresford, A Rice - Proceedings of the 5th Annual ACM …, 2015 - dl.acm.org
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 …

Scalable daily human behavioral pattern mining from multivariate temporal data

R Rawassizadeh, E Momeni, C Dobbins… - … on Knowledge and …, 2016 - ieeexplore.ieee.org
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 …