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Daniel Opoku Mensah

2 papers hereh-index 323 citations4 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedeFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference

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

collaborators

2 papers

cs.LG2022★ 1 cited

Robustness Analysis of Deep Learning Models for Population Synthesis

Daniel Opoku Mensah, Godwin Badu-Marfo, Bilal Farooq

Deep generative models have become useful for synthetic data generation, particularly population synthesis. The models implicitly learn the probability distribution of a dataset an…

cs.LG2022★ 1 cited

eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference

Daniel Opoku Mensah, Godwin Badu-Marfo, Ranwa Al Mallah +1

As the most significant data source in smart mobility systems, GPS trajectories can help identify user travel mode. However, these GPS datasets may contain users' private informati…

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