Search Results for author: Salman Mohamadi

Found 10 papers, 1 papers with code

Heteroskedasticity as a Signature of Association for Age-Related Genes

no code implementations15 Nov 2023 Salman Mohamadi, Donald A. Adjeroh

To our knowledge, along with identifying age-associated genes, this is the first work to propose a framework for computational causal inference on age-related genes, using a dataset of human dermal fibroblast gene expression data.

Causal Inference Human Aging

More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning

no code implementations2 Jul 2023 Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh

This paper is a fundamental work where, we investigate role of mutual information in SSL, and reformulate the problem of SSL in the context of a new perspective on mutual information.

Self-Supervised Learning

FUSSL: Fuzzy Uncertain Self Supervised Learning

no code implementations28 Oct 2022 Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh

This double supervision approach is captured in two key steps: 1) invariance enforcement to data augmentation, and 2) fuzzy pseudo labeling (both hard and soft annotation).

Data Augmentation Self-Supervised Learning

Deep Active Ensemble Sampling For Image Classification

no code implementations11 Oct 2022 Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh

We show empirical results of our framework, and comparative performance with the state-of-the-art on four datasets, namely, MNIST, CIFAR10, CIFAR100 and ImageNet to establish a new baseline in two different settings.

Active Learning Classification +4

Human Age Estimation from Gene Expression Data using Artificial Neural Networks

no code implementations4 Nov 2021 Salman Mohamadi, Gianfranco. Doretto, Nasser M. Nasrabadi, Donald A. Adjeroh

In this line, we propose a new framework for human age estimation using information from human dermal fibroblast gene expression data.

Age Estimation Data Augmentation

An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data

no code implementations4 Nov 2021 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, age prediction, and other healthcare applications.

Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition

no code implementations3 Aug 2021 Moktari Mostofa, Salman Mohamadi, Jeremy Dawson, Nasser M. Nasrabadi

In the second approach, we design a coupled generative adversarial network (cpGAN) architecture consisting of a pair of cGAN modules that project the VIS and NIR iris images into a low-dimensional embedding domain to ensure maximum pairwise similarity between the feature vectors from the two iris modalities of the same subject.

Generative Adversarial Network Iris Recognition

Deep Bayesian Active Learning, A Brief Survey on Recent Advances

no code implementations15 Dec 2020 Salman Mohamadi, Hamidreza Amindavar

Deep Bayesian active learning frameworks and generally any Bayesian active learning settings, provide practical consideration in the model which allows training with small data while representing the model uncertainty for further efficient training.

Active Learning

A New Framework For Spatial Modeling And Synthesis of Genome Sequence

no code implementations9 Aug 2019 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.

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