research
∙
07/25/2023
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
In practical scenarios, the effectiveness of sequential recommendation s...
share
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...
research
∙
12/04/2022
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey
Machine learning algorithms have revolutionized different fields, includ...
research
∙
09/20/2022
SCGG: A Deep Structure-Conditioned Graph Generative Model
Deep learning-based graph generation approaches have remarkable capaciti...
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...
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...
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...
research
∙
10/07/2021
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation
Graph data structures are fundamental for studying connected entities. W...
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...
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...
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...
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...
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...
research
∙
12/31/2020
Deep Graph Generators: A Survey
Deep generative models have achieved great success in areas such as imag...
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...
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...
research
∙
11/22/2020
Multiresolution Knowledge Distillation for Anomaly Detection
Unsupervised representation learning has proved to be a critical compone...
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...
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...
research
∙
03/12/2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Autoencoders (AE) have recently been widely employed to approach the nov...
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...
research
∙
06/08/2019
News Labeling as Early as Possible: Real or Fake?
Making disguise between real and fake news propagation through online so...
research
∙
02/01/2019
Privacy Against Brute-Force Inference Attacks
Privacy-preserving data release is about disclosing information about us...
research
∙
11/21/2018
Adversarial Classifier for Imbalanced Problems
Adversarial approach has been widely used for data generation in the las...
research
∙
11/21/2018
Multi-layered Graph Embedding with Graph Convolution Networks
Recently, graph embedding emerges as an effective approach for graph ana...
research
∙
11/21/2018
Multi-layered Graph Embedding with Graph Convolutional Networks
Recently, graph embedding emerges as an effective approach for graph ana...
research
∙
10/18/2018
On Statistical Learning of Simplices: Unmixing Problem Revisited
Learning of high-dimensional simplices from uniformly-sampled observatio...
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...
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...
research
∙
02/09/2018
Deep Private-Feature Extraction
We present and evaluate Deep Private-Feature Extractor (DPFE), a deep mo...
research
∙
10/05/2017
Reliable Learning of Bernoulli Mixture Models
In this paper, we have derived a set of sufficient conditions for reliab...
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...
research
∙
09/12/2017
Distributed Estimation Recovery under Sensor Failure
Single time-scale distributed estimation of dynamic systems via a networ...
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...
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...
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...
research
∙
03/04/2017
Recurrent Poisson Factorization for Temporal Recommendation
Poisson factorization is a probabilistic model of users and items for re...
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...
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...
research
∙
02/05/2014
Patchwise Joint Sparse Tracking with Occlusion Detection
This paper presents a robust tracking approach to handle challenges such...
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...
research
∙
08/06/2013