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researcher

Gergely Záruba

3 papers here

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

author position
  • last author3

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

fields
  • cs.AI1
  • cs.LG1
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

activity
20142022
most citedPredicting Succinylation Sites in Proteins with Improved Deep Learning Architecture

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022

A Review of the Convergence of 5G/6G Architecture and Deep Learning

Olusola T. Odeyomi, Olubiyi O. Akintade, Temitayo O. Olowu +1

The convergence of 5G architecture and deep learning has gained a lot of research interests in both the fields of wireless communication and artificial intelligence. This is becaus…

q-bio.BM2021★ 2 cited

Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture

Olusola Odeyomi, Gergely Zaruba

Post-translational modifications (PTMs) in proteins occur after the process of translation. PTMs account for many cellular processes such as deoxyribonucleic acid (DNA) repair, cel…

cs.AI2014

Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons

Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan +2

This is the first study on crowdsourcing Pareto-optimal object finding, which has applications in public opinion collection, group decision making, and information exploration. Dep…

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