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most citedPredicting Attributes of Nodes Using Network Structure

37 citations · 60 across the 52 of their papers we have counts for

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8 papers · 1 filter

cs.LG2022★ 1 cited

Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model

Sarwan Ali

The SARS-CoV-2 coronavirus is the cause of the COVID-19 disease in humans. Like many coronaviruses, it can adapt to different hosts and evolve into different lineages. It is well-k…

cs.LG2022

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences

Prakash Chourasia, Sarwan Ali, Murray Patterson

The t-distributed stochastic neighbor embedding (t- SNE) is a method for interpreting high dimensional (HD) data by mapping each point to a low dimensional (LD) space (usually two-…

q-bio.QM2022

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data

Prakash Chourasia, Sarwan Ali, Simone Ciccolella +2

The massive amount of genomic data appearing for SARS-CoV-2 since the beginning of the COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a result,…

cs.LG2022

Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers

Haris Mansoor, Sarwan Ali, Shafiq Alam +3

Analysis of the fairness of machine learning (ML) algorithms recently attracted many researchers' interest. Most ML methods show bias toward protected groups, which limits the appl…

cs.LG2022

Efficient Approximate Kernel Based Spike Sequence Classification

Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan +3

Machine learning (ML) models, such as SVM, for tasks like classification and clustering of sequences, require a definition of distance/similarity between pairs of sequences. Severa…

cs.LG2022

Information We Can Extract About a User From 'One Minute Mobile Application Usage'

Sarwan Ali

Understanding human behavior is an important task and has applications in many domains such as targeted advertisement, health analytics, security, and entertainment, etc. For this…

q-bio.GN2022

Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification

Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy +2

The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of sequence data of the SARS-CoV-2 genome -- millions of sequences and counting. This amount of da…

q-bio.GN2022

PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences

Sarwan Ali, Babatunde Bello, Prakash Chourasia +3

COVID-19 pandemic, is still unknown and is an important open question. There are speculations that bats are a possible origin. Likewise, there are many closely related (corona-) vi…