163 citations · 724 across the 59 of their papers we have counts for
12 papers · 1 filter
Privacy-Preserving Deep Inference for Rich User Data on The Cloud
Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri +4
Deep neural networks are increasingly being used in a variety of machine learning applications applied to rich user data on the cloud. However, this approach introduces a number of…
Reliable Clustering of Bernoulli Mixture Models
Amir Najafi, Abolfazl Motahari, Hamid R. Rabiee
A Bernoulli Mixture Model (BMM) is a finite mixture of random binary vectors with independent dimensions. The problem of clustering BMM data arises in a variety of real-world appli…
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
Sina Sajadmanesh, Sogol Bazargani, Jiawei Zhang +1
Online social networks, World Wide Web, media and technological networks, and other types of so-called information networks are ubiquitous nowadays. These information networks are…
Distributed Estimation Recovery under Sensor Failure
Mohammadreza Doostmohammadian, Hamid R. Rabiee, Houman Zarrabi +1
Single time-scale distributed estimation of dynamic systems via a network of sensors/estimators is addressed in this letter. In single time-scale distributed estimation, the two fu…
Observational Equivalence in System Estimation: Contractions in Complex Networks
Mohammadreza Doostmohammadian, Hamid R. Rabiee, Houman Zarrabi +1
Observability of complex systems/networks is the focus of this paper, which is shown to be closely related to the concept of contraction. Indeed, for observable network tracking it…
NPGLM: A Non-Parametric Method for Temporal Link Prediction
Sina Sajadmanesh, Jiawei Zhang, Hamid R. Rabiee
In this paper, we try to solve the problem of temporal link prediction in information networks. This implies predicting the time it takes for a link to appear in the future, given…
DANI: A Fast Diffusion Aware Network Inference Algorithm
Maryam Ramezani, Hamid R. Rabiee, Maryam Tahani +1
The fast growth of social networks and their privacy requirements in recent years, has lead to increasing difficulty in obtaining complete topology of these networks. However, diff…
Sensor Selection Cost Optimization for Tracking Structurally Cyclic Systems: a P-Order Solution
Mohammadreza Doostmohammadian, Houman Zarrabi, Hamid R. Rabiee
Measurements and sensing implementations impose certain cost in sensor networks. The sensor selection cost optimization is the problem of minimizing the sensing cost of monitoring…
Cheshire: An Online Algorithm for Activity Maximization in Social Networks
Ali Zarezade, Abir De, Hamid Rabiee +1
User engagement in social networks depends critically on the number of online actions their users take in the network. Can we design an algorithm that finds when to incentivize use…
Recurrent Poisson Factorization for Temporal Recommendation
Seyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi +4
Poisson factorization is a probabilistic model of users and items for recommendation systems, where the so-called implicit consumer data is modeled by a factorized Poisson distribu…
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh +5
Internet of Things (IoT) devices and applications are being deployed in our homes and workplaces. These devices often rely on continuous data collection to feed machine learning mo…
Continuous-Time User Modeling in the Presence of Badges: A Probabilistic Approach
Ali Khodadadi, Seyed Abbas Hosseini, Erfan Tavakoli +1
User modeling plays an important role in delivering customized web services to the users and improving their engagement. However, most user models in the literature do not explicit…