User profiles for "author:Arastoo Bozorgi"

Arastoo Bozorgi

Ph.D. in Computer Science, Memorial University
Verified email at mun.ca
Cited by 282

Community-based influence maximization in social networks under a competitive linear threshold model

A Bozorgi, S Samet, J Kwisthout, T Wareham - Knowledge-Based Systems, 2017 - Elsevier
The main purpose in influence maximization, which is motivated by the idea of viral
marketing in social networks, is to find a subset of key users that maximize influence spread …

INCIM: A community-based algorithm for influence maximization problem under the linear threshold model

A Bozorgi, H Haghighi, MS Zahedi… - Information Processing & …, 2016 - Elsevier
With the proliferation of graph applications in social network analysis, biological networks,
WWW and many other areas, a great demand of efficient and scalable algorithms for graph …

Predicting lying, sitting, walking and running using Apple Watch and Fitbit data

D Fuller, JR Anaraki, B Simango… - BMJ Open Sport & …, 2021 - bmjopensem.bmj.com
Objectives This study's objective was to examine whether commercial wearable devices
could accurately predict lying, sitting and varying intensities of walking and running …

Time sensitive blog retrieval using temporal properties of queries

MS Zahedi, A Aleahmad, M Rahgozar… - Journal of …, 2017 - journals.sagepub.com
Blogs are one of the main user-generated contents on the web and are growing in number
rapidly. The characteristics of blogs require the development of specialized search methods …

Predicting lying, sitting and walking at different intensities using smartphone accelerometers at three different wear locations: hands, pant pockets, backpack

SJ Khataeipour, JR Anaraki, A Bozorgi… - BMJ Open Sport & …, 2022 - bmjopensem.bmj.com
Objective This study uses machine learning (ML) to develop methods for estimating activity
type/intensity using smartphones, to evaluate the accuracy of these models for classifying …

Improving semi-supervised constrained k-means clustering method using user feedback

K Fatehi, A Bozorgi, MS Zahedi… - Journal of Computing …, 2014 - jcomsec.ui.ac.ir
Recently, semi-supervised clustering methods have been considered by many researchers.
In this type of clustering, there are some constraints and information about a small portion of …

UPSS: a User-centric Private Storage System with its applications

A Bozorgi, MS Jadidi, J Anderson - arXiv preprint arXiv:2403.15884, 2024 - arxiv.org
Strong confidentiality, integrity, user control, reliability and performance are critical
requirements in privacy-sensitive applications. Such applications would benefit from a data …

[PDF][PDF] UPSS: a global, least-privileged storage system with stronger security and better performance

A Bozorgi, MS Jadidi, J Anderson - IEEE Open J. Comput. Soc.(2022 … - scitepress.org
Strong confidentiality, integrity, user control, reliability and performance are critical
requirements in privacysensitive applications. Such applications would benefit from a data …

Using machine learning methods to predict physical activity types with Apple Watch and Fitbit data using indirect calorimetry as the criterion.

D Fuller, JR Anaraki, B Simango, F Dorani, A Bozorgi… - 2020 - researchsquare.com
Background There is considerable promise for using commercial wearable devices for
measuring physical activity at the population level. The objective of this study was to …

Blind Auditing and Probabilistic Access Controls

A Bozorgi, J Anderson - Cambridge International Workshop on Security …, 2023 - Springer
Keeping audit logs about past activities in any computer system is one of the requirements
regulated decades ago. However, there is no clear definition of what information should be …