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Andrew Hornback
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 7
Top Topics
Patient Care
Similarity Matching
Conceptual Models
Natural Language
Top Venues
CoRR
L@S
BIBM
BCB
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Publications
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Andrew Hornback
,
Yuanda Zhu
,
Monica Isgut
,
Wenqi Shi
,
Arjita Nema
,
Blake J. Anderson
,
May D. Wang
Latent Topic Extraction as a Source of Labeling in Natural Language Processing.
BIBM
(2023)
Andrew Hornback
,
Sungeun An
,
Scott Bunin
,
Stephen Buckley
,
John Kos
,
Ashok K. Goel
Conducting A/B Experiments with a Scalable Architecture.
CoRR
(2023)
Samrat Sahoo
,
Nitin Paul
,
Agam Shah
,
Andrew Hornback
,
Sudheer Chava
The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching.
CoRR
(2023)
Monica Isgut
,
Neha Jain
,
Andrew Hornback
,
Karan Samel
,
May Dongmei Wang
GeneDAE: A Sparse Denoising Autoencoder for Deriving Interpretable Gene Embeddings.
Tiny Papers @ ICLR
(2023)
Andrew Hornback
,
Stephen Buckley
,
John Kos
,
Scott Bunin
,
Sungeun An
,
David Joyner
,
Ashok K. Goel
A Scalable Architecture for Conducting A/B Experiments in Educational Settings.
L@S
(2023)
Scott Bunin
,
Willventchy Celestin
,
Andrew Hornback
,
Spencer Rugaber
Incorporating Habitats in Conceptual Models and Agent-Based Simulations: Expanding the Virtual Ecological Research Assistant (VERA).
L@S
(2022)
Andrew Hornback
,
Wenqi Shi
,
Felipe O. Giuste
,
Yuanda Zhu
,
Ashley M. Carpenter
,
Coleman Hilton
,
Vinieth N. Bijanki
,
Hiram Stahl
,
Gary S. Gottesman
,
Chad Purnell
,
Henry J. Iwinski
,
J. Michael Wattenbarger
,
May D. Wang
Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care.
BCB
(2022)