Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Mohamadi, Salman"'
Autor:
Mohamadi, Salman, Adjeroh, Donald A.
Human aging is a process controlled by both genetics and environment. Many studies have been conducted to identify a subset of genes related to aging from the human genome. Biologists implicitly categorize age-related genes into genes that cause agin
Externí odkaz:
http://arxiv.org/abs/2311.09411
ChatGPT is a large language model (LLM) created by OpenAI that has been carefully trained on a large amount of data. It has revolutionized the field of natural language processing (NLP) and has pushed the boundaries of LLM capabilities. ChatGPT has p
Externí odkaz:
http://arxiv.org/abs/2307.04251
Self-supervised learning (SSL) is now a serious competitor for supervised learning, even though it does not require data annotation. Several baselines have attempted to make SSL models exploit information about data distribution, and less dependent o
Externí odkaz:
http://arxiv.org/abs/2307.00651
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 evolving with the goal of outperforming supervised alternatives, which have
Externí odkaz:
http://arxiv.org/abs/2210.15818
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, introducing AL to data hungry deep learning algorithms has been a challenge. Som
Externí odkaz:
http://arxiv.org/abs/2210.05770
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. Prior studies have employed gene expression and DNA methylation data
Externí odkaz:
http://arxiv.org/abs/2111.02692
Autor:
Mohamadi, Salman, Adjeroh, Donald
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. In his work, startin
Externí odkaz:
http://arxiv.org/abs/2111.02595
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 different spectral bands (i.e., matching a visible (VIS) iris probe to
Externí odkaz:
http://arxiv.org/abs/2108.01569
Autor:
Mohamadi, Salman, Amindavar, Hamidreza
Active learning frameworks offer efficient data annotation without remarkable accuracy degradation. In other words, active learning starts training the model with a small size of labeled data while exploring the space of unlabeled data in order to se
Externí odkaz:
http://arxiv.org/abs/2012.08044
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 the alphabetic sequence of genome to decimal sequence by Huffman coding.
Externí odkaz:
http://arxiv.org/abs/1908.03342