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researcher

Paul D. Yoo

4 papers hereh-index 7226 citations15 works total

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

author position
  • middle author1

Across the 1 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CR1
  • cs.GR1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20192024
collaborators

4 papers

cs.IR2024

Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey

Kamal Taha, Paul D. Yoo, Aya Taha

This survey paper provides a comprehensive analysis of big data algorithms in recommendation systems, addressing the lack of depth and precision in existing literature. It proposes…

cs.CL2024

A Comprehensive Survey of Text Classification Techniques and Their Research Applications: Observational and Experimental Insights

Kamal Taha, Paul D. Yoo, Chan Yeun +1

The exponential growth of textual data presents substantial challenges in management and analysis, notably due to high storage and processing costs. Text classification, a vital as…

cs.GR2023

Neural Bounding

Stephanie Wenxin Liu, Michael Fischer, Paul D. Yoo +1

Bounding volumes are an established concept in computer graphics and vision tasks but have seen little change since their early inception. In this work, we study the use of neural…

cs.CR2019

An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning

Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun +3

Traditional authentication systems use alphanumeric or graphical passwords, or token-based techniques that require "something you know and something you have". The disadvantages of…

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