76 citations · 118 across the 14 of their papers we have counts for
11 papers · 1 filter
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
Feras Albardi, H M Dipu Kabir, Md Mahbub Islam Bhuiyan +3
This study aims to explore different pre-trained models offered in the Torchvision package which is available in the PyTorch library. And investigate their effectiveness on fine-gr…
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…
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber +4
Breast histology image classification is a crucial step in the early diagnosis of breast cancer. In breast pathological diagnosis, Convolutional Neural Networks (CNNs) have demonst…
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
Maryam Habibpour, Hassan Gharoun, AmirReza Tajally +4
Defects are unavoidable in casting production owing to the complexity of the casting process. While conventional human-visual inspection of casting products is slow and unproductiv…
Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi +10
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classificati…
Material Recognition for Automated Progress Monitoring using Deep Learning Methods
Hadi Mahami, Navid Ghassemi, Mohammad Tayarani Darbandy +7
Recent advancements in Artificial intelligence, especially deep learning, has changed many fields irreversibly by introducing state of the art methods for automation. Construction…