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U. Kaymak

9 papers hereh-index 438k citations392 works total

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

author position
  • middle author3
  • last author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI2
  • cs.NE1
  • q-bio.NC1
  • stat.ML1
same name
  • U. Kaymak — 6 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedMachine Learning for Violence Risk Assessment Using Dutch Clinical Notes

16 citations · 46 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026★ 3 cited

Interpretable Fuzzy Systems For Forward Osmosis Desalination

Qusai Khaled, Uzay Kaymak, Laura Genga

Preserving interpretability in fuzzy rule-based systems (FRBS) is vital for water treatment, where decisions impact public health. While structural interpretability has been addres…

cs.LG2022★ 7 cited

Making sense of violence risk predictions using clinical notes

Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou +3

Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health r…

cs.LG2022★ 16 cited

Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes

Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou +3

Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents. Clinical notes written by practitioners and available in electronic health r…

cs.LG2019

Remaining Useful Lifetime Prediction via Deep Domain Adaptation

Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang +1

In Prognostics and Health Management (PHM) sufficient prior observed degradation data is usually critical for Remaining Useful Lifetime (RUL) prediction. Most previous data-driven…

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