Michael Geyer

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 6

Top Topics

Linear Separability

Structured Data

Classification Models

Top Venues

WWW (Companion Volume)

WACV (Workshops)

Publications

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 (2024)
Brian Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore
An Exact Kernel Equivalence for Finite Classification Models. CoRR (2023)
Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore
An Exact Kernel Equivalence for Finite Classification Models. TAG-ML (2023)
David Patrick, Michael Geyer, Richard Tran, Amanda Fernandez
Reconstructive Training for Real-World Robustness in Image Classification. WACV (Workshops) (2022)
Richard Tran, David Patrick, Michael Geyer, Amanda Fernandez
SAD: Saliency-based Defenses Against Adversarial Examples. CoRR (2020)
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)
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)
Thomas Villmann, Wieland Hermann, Michael Geyer
Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps. ISMDA (2000)