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Fuseini Mumuni

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
ORCID 0000-0002-4894-3775

identity via Semantic Scholar / OpenAlex

most citedAutomated data processing and feature engineering for deep learning and big data applications: a survey

150 citations · 286 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 150 cited

Automated data processing and feature engineering for deep learning and big data applications: a survey

Alhassan Mumuni, Fuseini Mumuni

Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly from data. This approach has achieved impressive results and has contributed significa…

cs.CV2024★ 110 cited

A survey of synthetic data augmentation methods in computer vision

Alhassan Mumuni, Fuseini Mumuni, Nana Kobina Gerrar

The standard approach to tackling computer vision problems is to train deep convolutional neural network (CNN) models using large-scale image datasets which are representative of t…

cs.LG2024★ 26 cited

Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning

Fuseinin Mumuni, Alhassan Mumuni

We review current and emerging knowledge-informed and brain-inspired cognitive systems for realizing adversarial defenses, eXplainable Artificial Intelligence (XAI), and zero-shot…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.