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researcher

M. Lawford

17 papers hereh-index 212.1k citations144 works total

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

author position
  • middle author12
  • last author5

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.SE8
  • cs.LG3
  • cs.RO3
  • cs.HC1
  • cs.LO1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedNovel Fundus Image Preprocessing for Retcam Images to Improve Deep Learning Classification of Retinopathy of Prematurity

6 citations · 16 across the 17 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Ensembles-based Feature Guided Analysis

Federico Formica, Stefano Gregis, Andrea Rota +3

Recent Deep Neural Networks (DNN) applications ask for techniques that can explain their behavior. Existing solutions, such as Feature Guided Analysis (FGA), extract rules on their…

cs.LG2025

Feature-Guided Analysis of Neural Networks: A Replication Study

Federico Formica, Stefano Gregis, Aurora Francesca Zanenga +3

Understanding why neural networks make certain decisions is pivotal for their use in safety-critical applications. Feature-Guided Analysis (FGA) extracts slices of neural networks…

cs.LG2021

Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey

Mehrnoosh Askarpour, Alan Wassyng, Mark Lawford +2

Machine learning (ML) is finding its way into safety-critical systems (SCS). Current safety standards and practice were not designed to cope with ML techniques, and it is difficult…

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