activity
20202024
most citedFCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model

16 citations · 26 across the 8 of their papers we have counts for

collaborators

12 papers

eess.SP20244 cited

Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review

Javad Hassannataj Joloudari, Mohammad Maftoun, Bahareh Nakisa +2

The Complex Emotion Recognition System (CERS) deciphers complex emotional states by examining combinations of basic emotions expressed, their interconnections, and the dynamic vari…

eess.IV20225 cited

Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review

Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars +11

In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. CVDs appear with minor symptoms and progressively get worse. The majori…

eess.IV202216 cited

FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model

Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol +6

Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common card…

cs.LG2021

Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression

Assef Zare, Afshin Shoeibi, Narges Shafaei +4

Many works have been done to handle the uncertainties in the data using type 1 fuzzy regression. Few type 2 fuzzy regression works used interval type 2 for indeterminate modeling u…

cs.CV2021

What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors

Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir +4

One of the most common problems encountered in human-computer interaction is automatic facial expression recognition. Although it is easy for human observer to recognize facial exp…

eess.IV2021

Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +9

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. I…