Andrea Villmann

12 papers B 2Journal 3Unranked 7
YearRankTypeTitle / Venue / Authors
2023 — conf
The Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers.
ICAISC (1)
Mehrdad Mohannazadeh Bakhtiari, Andrea Villmann, Thomas Villmann
2022 J jnl
Quantum-inspired learning vector quantizers for prototype-based classification.
Neural Comput. Appl.
Thomas Villmann, Alexander Engelsberger, Jensun Ravichandran, Andrea Villmann, Marika Kaden
2020 B conf
Quantum-Inspired Learning Vector Quantization for Classification Learning.
ESANN
Thomas Villmann, Jensun Ravichandran, Alexander Engelsberger, Andrea Villmann, Marika Kaden
2019 J jnl
Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison.
CoRR
Thomas Villmann, John Ravichandran, Andrea Villmann, David Nebel, Marika Kaden
2019 — conf
Appropriate Data Density Models in Probabilistic Machine Learning Approaches for Data Analysis.
ICAISC (2)
Thomas Villmann, Marika Kaden, Mehrdad Mohannazadeh Bakhtiari, Andrea Villmann
2019 — conf
Investigation of Activation Functions for Generalized Learning Vector Quantization.
WSOM+
Thomas Villmann, Jensun Ravichandran, Andrea Villmann, David Nebel, Marika Kaden
2019 — conf
Searching for the Origins of Life - Detecting RNA Life Signatures Using Learning Vector Quantization.
WSOM+
Thomas Villmann, Marika Kaden, Szymon Wasik, Mateusz Kudla, Kaja Gutowska, Andrea Villmann, Jacek Blazewicz
2018 — conf
Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning.
ICAISC (1)
Andrea Villmann, Marika Kaden, Sascha Saralajew, Thomas Villmann
2018 B conf
Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach.
ESANN
Andrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann
2017 — conf
Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning.
WSOM
Thomas Villmann, Michael Biehl, Andrea Villmann, Sascha Saralajew
2017 — conf
Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices.
ICAISC (1)
Mohammad Mohammadi, Michael Biehl, Andrea Villmann, Thomas Villmann
2017 J jnl
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning.
Neurocomputing
David Nebel, Marika Kaden, Andrea Villmann, Thomas Villmann