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Philip J. Aston

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • cs.LG2
  • physics.med-ph1
ORCID 0000-0003-0877-0627

identity via Semantic Scholar / OpenAlex

most citedECG Feature Importance Rankings: Cardiologists vs. Algorithms

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2026

Fuzzy Accuracy Compensates for Label Subjectivity in Classification of Skin Tone Using Wearable Photoplethysmography Signals

Padmini Krishnadas, Urs Hackstein, Alen Bosnjakovic +1

We consider the problem of classification of skin tone using photoplethysmography (PPG) signals with labels of the ordinal six-class Fitzpatrick skin tones. A typical accuracy for…

cs.LG2026

Attractor Image-Based Deep Learning of Arterial Pulse Waves for Age Classification

Sara Vardanega, Patrick Segers, Philip Aston +3

Arterial pulse waveform morphology evolves with age, reflecting structural and functional changes in the cardiovascular system. Thus, vascular age is a valuable surrogate marker of…

physics.med-ph2023★ 1 cited

ECG Feature Importance Rankings: Cardiologists vs. Algorithms

Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic +7

Feature importance methods promise to provide a ranking of features according to importance for a given classification task. A wide range of methods exist but their rankings often…

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