10 citations · 10 across the 6 of their papers we have counts for
7 papers
FUSSL: Fuzzy Uncertain Self Supervised Learning
Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh
Self supervised learning (SSL) has become a very successful technique to harness the power of unlabeled data, with no annotation effort. A number of developed approaches are evolvi…
Deep Active Ensemble Sampling For Image Classification
Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh
Conventional active learning (AL) frameworks aim to reduce the cost of data annotation by actively requesting the labeling for the most informative data points. However, introducin…
Human Age Estimation from Gene Expression Data using Artificial Neural Networks
Salman Mohamadi, Gianfranco. Doretto, Nasser M. Nasrabadi +1
The study of signatures of aging in terms of genomic biomarkers can be uniquely helpful in understanding the mechanisms of aging and developing models to accurately predict the age…
An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data
Salman Mohamadi, Donald Adjeroh
Investigation of age-related genes is of great importance for multiple purposes, for instance, improving our understanding of the mechanism of ageing, increasing life expectancy, a…
Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
Moktari Mostofa, Salman Mohamadi, Jeremy Dawson +1
In recent years, cross-spectral iris recognition has emerged as a promising biometric approach to establish the identity of individuals. However, matching iris images acquired at d…
A New Framework For Spatial Modeling And Synthesis of Genome Sequence
Salman Mohamadi, Farhang Yeganegi, Hamidreza Amindavar
This paper provides a framework in order to statistically model sequences from human genome, which is allowing a formulation to synthesize gene sequences. We start by converting th…