463 citations · 2.3k across the 59 of their papers we have counts for
8 papers · 1 filter
The Role of Natural Language Understanding in Multimodal Video-Based Dengue Diagnosis
Danial Sharifrazi, Saadat Behzadi, Julakha Jahan Jui +5
Detecting infection-related behavioral changes in mosquitoes from video data is challenging because mosquitoes are small, move rapidly and irregularly, and are affected by environm…
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…
Explainable Artificial Intelligence for Drug Discovery and Development -- A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain +5
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI…
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya +1
This paper explores the significant impact of AI-based medical devices, including wearables, telemedicine, large language models, and digital twins, on clinical decision support sy…
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach
Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad +2
The accuracy of coronary artery disease (CAD) diagnosis is dependent on a variety of factors, including demographic, symptom, and medical examination, ECG, and echocardiography dat…
A Brief Review of Explainable Artificial Intelligence in Healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci +13
XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-sta…
The state-of-the-art review on resource allocation problem using artificial intelligence methods on various computing paradigms
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar +7
With the increasing growth of information through smart devices, increasing the quality level of human life requires various computational paradigms presentation including the Inte…
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain +12
Understanding data and reaching valid conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have widespread applic…