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Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated
  Learning

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning

17 February 2023
Prakash Chourasia
Taslim Murad
Z. Tayebi
Sarwan Ali
Imdadullah Khan
Murray Patterson
    FedML
ArXivPDFHTML

Papers citing "Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning"

4 / 4 papers shown
Title
Federated learning, ethics, and the double black box problem in medical AI
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
Virus2Vec: Viral Sequence Classification Using Machine Learning
Virus2Vec: Viral Sequence Classification Using Machine Learning
Sarwan Ali
B. Bello
Prakash Chourasia
Ria Thazhe Punathil
Pin-Yu Chen
Imdadullah Khan
Murray Patterson
25
2
0
24 Apr 2023
Efficient Approximate Kernel Based Spike Sequence Classification
Efficient Approximate Kernel Based Spike Sequence Classification
Sarwan Ali
Bikram Sahoo
Muhammad Asad Khan
A. Zelikovsky
Imdadullah Khan
Murray Patterson
AI4TS
26
22
0
11 Sep 2022
A k-mer Based Approach for SARS-CoV-2 Variant Identification
A k-mer Based Approach for SARS-CoV-2 Variant Identification
Sarwan Ali
Bikram Sahoo
N. Ullah
Alexander Zelikovskiy
M. Patterson
Imdadullah Khan
54
39
0
07 Aug 2021
1