Publications

The Unreasonable Effectiveness of LLMs for Query Optimization
Peter Akioyamen, Zixuan Yi, Ryan Marcus

Publication: Machine Learning for Systems Workshop at NeurIPS 2024

DOI/Link: https://arxiv.org/pdf/2411.02862

Year: 2024

Keywords: Query optimization Query steering Large language models

A Spatio-Temporal Analysis of OECD Member Countries’ Health Care Systems: Effects of Data Missingness and Geographically and Temporally Weighted Regression on Inference
Peter Akioyamen and Mehmet A. Begen

Publication: International Journal of Environmental Research and Public Health

DOI/Link: https://doi.org/10.3390/ijerph20136265

Year: 2023

Keywords: OECD Health system performance Global health Imputation GTWR Spatio-temporal analysis

Dimensionality Reduction and Text Mining for Smart Content Filtering of an Online Health Forum
Reinaldo Sanchez-Arias, Roberto Batista, Levi C Nicklas, and Peter Akioyamen

Publication: International Conference on Industrial Engineering and Operations Management (IEOM)

DOI/Link: http://ieomsociety.org/proceedings/2021monterrey/419.pdf

Year: 2021

Keywords: Correspondence analysis Clustering Dimensionality reduction Social media Unsupervised learning

A Framework for Intelligent Navigation Using Latent Dirichlet Allocation on Reddit Posts About Opiates
Peter Akioyamen, Levi C Nicklas, and Reinaldo Sanchez-Arias

Publication: International Conference on Compute and Data Analysis (ICCDA)

DOI/Link: https://dl.acm.org/doi/10.1145/3388142.3388156

Year: 2020

Keywords: Text mining Online discussion boards Latent Dirichlet Allocation

A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets
Peter Akioyamen, Yi Zhou Tang, and Hussien Hussien

Publication: International Conference on AI in Finance (ICAIF)

DOI/Link: https://dl.acm.org/doi/10.1145/3383455.3422521

Year: 2020

Keywords: Clustering Dimensionality reduction Classification Trading Markovian regime switching Portfolio management