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Michael Fayemiwo
PeerJ Author & Reviewer
170 Points

Contributions by role

Author 135
Reviewer 35

Contributions by subject area

Bioinformatics
Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Optimization Theory and Computation
Neural Networks

Michael Adebisi Fayemiwo

PeerJ Author & Reviewer

Summary

Artificial Intelligence Bioinformatics Computer Vision Data Mining & Machine Learning

Past or current institution affiliations

University of Ulster

Work details

University of Ulster
December 2021
School of Computing, Engineering and Intelligent Systems, Ulster University, United Kingdom.

PeerJ Contributions

  • Articles 1
  • Reviewed 1
August 3, 2021
Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
Michael Adebisi Fayemiwo, Toluwase Ayobami Olowookere, Samson Afolabi Arekete, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike Oguntunde, Oluwabunmi Omobolanle Olaniyan, Theresa Omolayo Ojewumi, Idowu Sunday Oyetade, Ademola Adegoke Aremu, Aderonke Anthonia Kayode
https://doi.org/10.7717/peerj-cs.614

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

September 19, 2024
A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
Amirreza Salehi Amiri, Ardavan Babaei, Vladimir Simic, Erfan Babaee Tirkolaee
https://doi.org/10.7717/peerj-cs.2321