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2020 – today
- 2025
[j1]Brian Bell, Michael Geyer, David Glickenstein
, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore:
Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. Stat. Anal. Data Min. 18(1) (2025)- 2024
- [i3]Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore:
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples. CoRR abs/2404.08069 (2024) - 2023
- [c5]Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore:
An Exact Kernel Equivalence for Finite Classification Models. TAG-ML 2023: 206-217 - [i2]Brian Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore:
An Exact Kernel Equivalence for Finite Classification Models. CoRR abs/2308.00824 (2023) - 2022
- [c4]David Patrick, Michael Geyer, Richard Tran, Amanda S. Fernandez:
Reconstructive Training for Real-World Robustness in Image Classification. WACV (Workshops) 2022: 251-260 - 2020
- [i1]Richard Tran, David Patrick, Michael Geyer, Amanda S. Fernandez:
SAD: Saliency-based Defenses Against Adversarial Examples. CoRR abs/2003.04820 (2020)
2010 – 2019
- 2018
- [c3]Sean Soderman, Anusha Kola, Maksim Podkorytov, Michael Geyer, Michael N. Gubanov:
Hybrid.AI: A Learning Search Engine for Large-scale Structured Data. WWW (Companion Volume) 2018: 1507-1514
2000 – 2009
- 2000
- [c2]Thomas Villmann, Bernhard Badel, Daniel Kämpf, Michael Geyer:
Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps. ANNIMAB 2000: 221-226 - [c1]Thomas Villmann, Wieland Hermann, Michael Geyer:
Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps. ISMDA 2000: 138-151
Coauthor Index
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