activity
20192025
most citedCoronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model

148 citations · 258 across the 13 of their papers we have counts for

collaborators

16 papers

cs.CV2025

No-Reference Image Contrast Assessment with Customized EfficientNet-B0

Javad Hassannataj Joloudari, Bita Mesbahzadeh, Omid Zare +3

Image contrast was a fundamental factor in visual perception and played a vital role in overall image quality. However, most no reference image quality assessment NR IQA models str…

cs.CV2025

A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n

Saadat Behzadi, Danial Sharifrazi, Bita Mesbahzadeh +2

Objectives: Timely and accurate detection of colorectal polyps plays a crucial role in diagnosing and preventing colorectal cancer, a major cause of mortality worldwide. This study…

eess.SP2024★ 4 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…

cs.AI2024

Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review

Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari +5

Human brain neuron activities are incredibly significant nowadays. Neuronal behavior is assessed by analyzing signal data such as electroencephalography (EEG), which can offer scie…

cs.CR2024★ 2 cited

Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method

Mohammad Maftoun, Nima Shadkam, Seyedeh Somayeh Salehi Komamardakhi +2

Trusting the accuracy of data inputted on online platforms can be difficult due to the possibility of malicious websites gathering information for unlawful reasons. Analyzing each…

cs.CV2023★ 3 cited

Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction

Soroush Hashemifar, Abdolreza Marefat, Javad Hassannataj Joloudari +1

The small amount of training data for many state-of-the-art deep learning-based Face Recognition (FR) systems causes a marked deterioration in their performance. Although a conside…