Andrew Hornback

Orcid: 0009-0009-5461-5848

According to our database1, Andrew Hornback authored at least 7 papers between 2022 and 2023.

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Bibliography

2023
Conducting A/B Experiments with a Scalable Architecture.
CoRR, 2023

The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching.
CoRR, 2023

A Scalable Architecture for Conducting A/B Experiments in Educational Settings.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

GeneDAE: A Sparse Denoising Autoencoder for Deriving Interpretable Gene Embeddings.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Latent Topic Extraction as a Source of Labeling in Natural Language Processing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Incorporating Habitats in Conceptual Models and Agent-Based Simulations: Expanding the Virtual Ecological Research Assistant (VERA).
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022


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