Hamid R. Rabiee

research

∙ 07/25/2023

ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning

In practical scenarios, the effectiveness of sequential recommendation s...

0 Mohammmadmahdi Maheri, et al. ∙

research

∙ 03/16/2023

Network-based Control of Epidemic via Flattening the Infection Curve: High-Clustered vs. Low-Clustered Social Networks

Recent studies in network science and control have shown a meaningful re...

0 Mohammadreza Doostmohammadian, et al. ∙

research

∙ 12/04/2022

Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey

Machine learning algorithms have revolutionized different fields, includ...

0 Gita Sarafraz, et al. ∙

research

∙ 09/20/2022

SCGG: A Deep Structure-Conditioned Graph Generative Model

Deep learning-based graph generation approaches have remarkable capaciti...

0 Faezeh Faez, et al. ∙

research

∙ 02/20/2022

SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models

We propose a novel interpretation technique to explain the behavior of s...

0 S. Fatemeh Seyyedsalehi, et al. ∙

research

∙ 01/27/2022

LAP: An Attention-Based Module for Faithful Interpretation and Knowledge Injection in Convolutional Neural Networks

Despite the state-of-the-art performance of deep convolutional neural ne...

2 Rassa Ghavami Modegh, et al. ∙

research

∙ 12/02/2021

FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social Media

The availability and interactive nature of social media have made them t...

0 Faeze Ghorbanpour, et al. ∙

research

∙ 10/07/2021

CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation

Graph data structures are fundamental for studying connected entities. W...

0 Matin Yousefabadi, et al. ∙

research

∙ 09/20/2021

Distributed Detection and Mitigation of Biasing Attacks over Multi-Agent Networks

This paper proposes a distributed attack detection and mitigation techni...

0 Mohammadreza Doostmohammadian, et al. ∙

research

∙ 04/15/2021

SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian

We have released Sina-BERT, a language model pre-trained on BERT (Devlin...

0 Nasrin Taghizadeh, et al. ∙

research

∙ 04/08/2021

GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

The increased amount of multi-modal medical data has opened the opportun...

0 Mahsa Ghorbani, et al. ∙

research

∙ 03/18/2021

Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI

Early detection of dementia through specific biomarkers in MR images pla...

9 Reza Shirkavand, et al. ∙

research

∙ 02/27/2021

RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

Disease prediction is a well-known classification problem in medical app...

0 Mahsa Ghorbani, et al. ∙

research

∙ 12/31/2020

Deep Graph Generators: A Survey

Deep generative models have achieved great success in areas such as imag...

23 Faezeh Faez, et al. ∙

research

∙ 12/11/2020

On the Observability and Controllability of Large-Scale IoT Networks: Reducing Number of Unmatched Nodes via Link Addition

In this paper, we study large-scale networks in terms of observability a...

0 Mohammadreza Doostmohammadian, et al. ∙

research

∙ 11/23/2020

Accurate and Rapid Diagnosis of COVID-19 Pneumonia with Batch Effect Removal of Chest CT-Scans and Interpretable Artificial Intelligence

Since late 2019, COVID-19 has been spreading over the world and caused t...

23 Rassa Ghavami, et al. ∙

research

∙ 11/22/2020

Multiresolution Knowledge Distillation for Anomaly Detection

Unsupervised representation learning has proved to be a critical compone...

10 Mohammadreza Salehi, et al. ∙

research

∙ 10/03/2020

Joint Inference of Structure and Diffusion in Partially Observed Social Networks

Access to complete data in large scale networks is often infeasible. The...

0 Maryam Ramezani, et al. ∙

research

∙ 08/29/2020

Puzzle-AE: Novelty Detection in Images through Solving Puzzles

Autoencoder (AE) has proved to be an effective framework for novelty det...

17 Mohammadreza Salehi, et al. ∙

research

∙ 03/12/2020

ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection

Autoencoders (AE) have recently been widely employed to approach the nov...

18 Mohammadreza Salehi, et al. ∙

research

∙ 09/15/2019

ChOracle: A Unified Statistical Framework for Churn Prediction

User churn is an important issue in online services that threatens the h...

2 Ali Khodadadi, et al. ∙

research

∙ 06/08/2019

News Labeling as Early as Possible: Real or Fake?

Making disguise between real and fake news propagation through online so...

0 Maryam Ramezani, et al. ∙

research

∙ 02/01/2019

Privacy Against Brute-Force Inference Attacks

Privacy-preserving data release is about disclosing information about us...

0 Seyed Ali Osia, et al. ∙

research

∙ 11/21/2018

Adversarial Classifier for Imbalanced Problems

Adversarial approach has been widely used for data generation in the las...

16 Ehsan Montahaei, et al. ∙

research

∙ 11/21/2018

Multi-layered Graph Embedding with Graph Convolution Networks

Recently, graph embedding emerges as an effective approach for graph ana...

12 Mahsa Ghorbani, et al. ∙

research

∙ 11/21/2018

Multi-layered Graph Embedding with Graph Convolutional Networks

Recently, graph embedding emerges as an effective approach for graph ana...

0 Mahsa Ghorbani, et al. ∙

research

∙ 10/18/2018

On Statistical Learning of Simplices: Unmixing Problem Revisited

Learning of high-dimensional simplices from uniformly-sampled observatio...

0 Amir Najafi, et al. ∙

research

∙ 04/05/2018

Structural cost-optimal design of sensor networks for distributed estimation

In this letter we discuss cost optimization of sensor networks monitorin...

0 Mohammadreza Doostmohammadian, et al. ∙

research

∙ 02/19/2018

Steering Social Activity: A Stochastic Optimal Control Point Of View

User engagement in online social networking depends critically on the le...

0 Ali Zarezade, et al. ∙

research

∙ 02/09/2018

Deep Private-Feature Extraction

We present and evaluate Deep Private-Feature Extractor (DPFE), a deep mo...

0 Seyed Ali Osia, et al. ∙

research

∙ 10/05/2017

Reliable Learning of Bernoulli Mixture Models

In this paper, we have derived a set of sufficient conditions for reliab...

0 Amir Najafi, et al. ∙

research

∙ 10/04/2017

Privacy-Preserving Deep Inference for Rich User Data on The Cloud

Deep neural networks are increasingly being used in a variety of machine...

0 Seyed Ali Osia, et al. ∙

research

∙ 09/12/2017

Distributed Estimation Recovery under Sensor Failure

Single time-scale distributed estimation of dynamic systems via a networ...

0 Mohammadreza Doostmohammadian, et al. ∙

research

∙ 09/12/2017

Observational Equivalence in System Estimation: Contractions in Complex Networks

Observability of complex systems/networks is the focus of this paper, wh...

0 Mohammadreza Doostmohammadian, et al. ∙

research

∙ 06/21/2017

NPGLM: A Non-Parametric Method for Temporal Link Prediction

In this paper, we try to solve the problem of temporal link prediction i...

0 Sina Sajadmanesh, et al. ∙

research

∙ 03/08/2017

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

The increasing quality of smartphone cameras and variety of photo editin...

0 Seyed Ali Osia, et al. ∙

research

∙ 03/04/2017

Recurrent Poisson Factorization for Temporal Recommendation

Poisson factorization is a probabilistic model of users and items for re...

0 Seyed Abbas Hosseini, et al. ∙

research

∙ 10/26/2016

Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web

Food and nutrition occupy an increasingly prevalent space on the web, an...

0 Sina Sajadmanesh, et al. ∙

research

∙ 10/02/2016

HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Media

This paper introduces a novel framework for modeling temporal events wit...

0 Seyed Abbas Hosseini, et al. ∙

research

∙ 02/05/2014

Patchwise Joint Sparse Tracking with Occlusion Detection

This paper presents a robust tracking approach to handle challenges such...

0 Ali Zarezade, et al. ∙

research

∙ 11/24/2013

Local Similarities, Global Coding: An Algorithm for Feature Coding and its Applications

Data coding as a building block of several image processing algorithms h...

0 Amirreza Shaban, et al. ∙

research

∙ 08/06/2013

Spatial-Aware Dictionary Learning for Hyperspectral Image Classification

This paper presents a structured dictionary-based model for hyperspectra...

0 Ali Soltani-Farani, et al. ∙

Hamid R. Rabiee

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