Andrew Hornback

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Similarity Matching

Natural Language

Conceptual Models

Top Venues

GECCO Companion

Publications

Neha Jain, Andrew Hornback, May Dongmei Wang
EMxDesign: A Genetic Algorithm for High Affinity Drug Design. GECCO Companion (2024)
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)