482 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute for Research in Fundamental SciencesIR64 papers
- Sharif University of TechnologyIR18 papers
- Shahid Beheshti UniversityIR17 papers
- Ferdowsi University of MashhadIR13 papers
- University of TehranIR13 papers
- Deakin UniversityAU10 papers
- Amirkabir University of TechnologyIR8 papers
- Islamic Azad University, TehranIR8 papers
- Universidad de GranadaES8 papers
- Islamic Azad University, MashhadIR7 papers
- Islamic Azad University, Science and Research BranchIR7 papers
- Naval Air Warfare Center Weapons DivisionUS7 papers
13 papers · 1 filter
Enhancing Type 2 Diabetes Diagnosis with Evolutionary Algorithms and Machine Learning
Parisa Rezaei, Mohsen Saffar, Hamid Reza Naji +2
Type 2 diabetes is a widespread chronic disease that requires early and accurate diagnosis to prevent serious complications. Traditional diagnostic methods often lack sufficient ac…
Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
Hanif Kia, Mansour Vali, Hadi Sabahi
Heart failure (HF) is a critical condition in which the accurate prediction of mortality plays a vital role in guiding patient management decisions. However, clinical datasets used…
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7
Nowadays, many people worldwide suffer from brain disorders, and their health is in danger. So far, numerous methods have been proposed for the diagnosis of Schizophrenia (SZ) and…
Comparative analysis of machine learning and numerical modeling for combined heat transfer in Polymethylmethacrylate
Mahsa Dehghan Manshadi, Nima Alafchi, Alireza Taat +2
This study compares different methods to predict the simultaneous effects of conductive and radiative heat transfer in a Polymethylmethacrylate (PMMA) sample. PMMA is a kind of pol…
Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks
Abdorasoul Ghasemi, Holger Kantz
We use machine learning tools to model the line interaction of failure cascading in power grid networks. We first collect data sets of simulated trajectories of possible consecutiv…
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani +9
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs…
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi +9
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior, pe…
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring
Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh +1
Unsupervised health monitoring has gained much attention in the last decade as the most practical real-time structural health monitoring (SHM) approach. Among the proposed unsuperv…
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +12
Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated…
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi +12
Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) techniques…
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi +14
A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities. Artificial…
Between-Domain Instance Transition Via the Process of Gibbs Sampling in RBM
Hossein Shahabadi Farahani, Alireza Fatehi, Mahdi Aliyari Shoorehdeli
In this paper, we present a new idea for Transfer Learning (TL) based on Gibbs Sampling. Gibbs sampling is an algorithm in which instances are likely to transfer to a new state wit…
Improving the K-means algorithm using improved downhill simplex search
Ehsan Saboori, Shafigh Parsazad, Anoosheh Sadeghi
The k-means algorithm is one of the well-known and most popular clustering algorithms. K-means seeks an optimal partition of the data by minimizing the sum of squared error with an…