activity
20202022
most citedMCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

76 citations · 101 across the 13 of their papers we have counts for

collaborators

17 papers

eess.IV2022

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis

Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal +8

This paper proposes transferred initialization with modified fully connected layers for COVID-19 diagnosis. Convolutional neural networks (CNN) achieved a remarkable result in imag…

cs.LG20221 cited

Controlled Dropout for Uncertainty Estimation

Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain +2

Uncertainty quantification in a neural network is one of the most discussed topics for safety-critical applications. Though Neural Networks (NNs) have achieved state-of-the-art per…

eess.IV20221 cited

DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation

Simindokht Jahangard, Mahdi Bonyani, Abbas Khosravi

Accurate segmentation of the vertebra is an important prerequisite in various medical applications (E.g. tele surgery) to assist surgeons. Following the successful development of d…

cs.CV20211 cited

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…

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…