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R. Arnaout

4 papers hereh-index 295.1k citations97 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedFast and accurate classification of echocardiograms using deep learning

16 citations · 17 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025★ 1 cited

GEM-T: Generative Tabular Data via Fitting Moments

Miao Li, Phuc Nguyen, Christopher Tam +6

Tabular data dominates data science but poses challenges for generative models, especially when the data is limited or sensitive. We present a novel approach to generating syntheti…

cs.LG2025

X-Factor: Quality Is a Dataset-Intrinsic Property

Josiah Couch, Miao Li, Rima Arnaout +1

In the universal quest to optimize machine-learning classifiers, three factors -- model architecture, dataset size, and class balance -- have been shown to influence test-time perf…

cs.AI2025

Grade Inflation in Generative Models

Phuc Nguyen, Miao Li, Alexandra Morgan +2

Generative models hold great potential, but only if one can trust the evaluation of the data they generate. We show that many commonly used quality scores for comparing two-dimensi…

cs.CV2017★ 16 cited

Fast and accurate classification of echocardiograms using deep learning

Ali Madani, Ramy Arnaout, Mohammad Mofrad +1

Echocardiography is essential to modern cardiology. However, human interpretation limits high throughput analysis, limiting echocardiography from reaching its full clinical and res…

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