Andrea Villmann

According to our database, Andrea Villmann authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers.

Mehrdad Mohannazadeh Bakhtiari, Andrea Villmann, Thomas Villmann

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

Quantum-inspired learning vector quantizers for prototype-based classification.

Thomas Villmann, Alexander Engelsberger, Jensun Ravichandran, Andrea Villmann, Marika Kaden

Neural Comput. Appl., 2022

2020

Quantum-Inspired Learning Vector Quantization for Classification Learning.

Thomas Villmann, Jensun Ravichandran, Alexander Engelsberger, Andrea Villmann, Marika Kaden

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison.

Thomas Villmann, John Ravichandran, Andrea Villmann, David Nebel, Marika Kaden

CoRR, 2019

Investigation of Activation Functions for Generalized Learning Vector Quantization.

Thomas Villmann, Jensun Ravichandran, Andrea Villmann, David Nebel, Marika Kaden

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Searching for the Origins of Life - Detecting RNA Life Signatures Using Learning Vector Quantization.

Thomas Villmann, Marika Kaden, Szymon Wasik, Mateusz Kudla, Kaja Gutowska, Andrea Villmann, Jacek Blazewicz

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Appropriate Data Density Models in Probabilistic Machine Learning Approaches for Data Analysis.

Thomas Villmann, Marika Kaden, Mehrdad Mohannazadeh Bakhtiari, Andrea Villmann

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018

Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning.

Andrea Villmann, Marika Kaden, Sascha Saralajew, Thomas Villmann

Proceedings of the Artificial Intelligence and Soft Computing, 2018

Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach.

Andrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning.

David Nebel, Marika Kaden, Andrea Villmann, Thomas Villmann

Neurocomputing, 2017

Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning.

Thomas Villmann, Michael Biehl, Andrea Villmann, Sascha Saralajew

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices.

Mohammad Mohammadi, Michael Biehl, Andrea Villmann, Thomas Villmann

Proceedings of the Artificial Intelligence and Soft Computing, 2017