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researcher

Á. Lelkes

13 papers hereh-index 93.8k citations22 works total

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

author position
  • first author2
  • middle author9
  • last author1

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.IR2
  • cs.LG2
  • cs.CC1
  • cs.DM1
  • cs.FL1

identity via Semantic Scholar / OpenAlex

activity
20142025
most citedGemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

49 citations · 67 across the 12 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2022★ 1 cited

Instability in clinical risk stratification models using deep learning

Daniel Lopez-Martinez, Alex Yakubovich, Martin Seneviratne +9

While it has been well known in the ML community that deep learning models suffer from instability, the consequences for healthcare deployments are under characterised. We study th…

cs.LG2016

A Confidence-Based Approach for Balancing Fairness and Accuracy

Benjamin Fish, Jeremy Kun, Ádám D. Lelkes

We study three classical machine learning algorithms in the context of algorithmic fairness: adaptive boosting, support vector machines, and logistic regression. Our goal is to mai…

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