New Cloth unto an Old Garment: SOM for Regeneration Learning

Rewbenio A. Frota, Guilherme A. Barreto, Marley M.B.R. Vellasco, Candida Menezes de Jesus

Unsupervised Learning-based Data Collection Planning with Dubins Vehicle and Constrained Data Retrieving Time

Jindřiška Deckerová, Jan Faigl

Hyperbox Learning Vector Quantization Based on Min-Max-Neurons

Thomas Villmann, Thomas Davies, Alexander Engelsberger

Sparse Clustering with K-means - Which Penalties and for Which Data?

Marie Chavent, Marie Cottrell, Alex Mourer, Madalina Olteanu

Is t-SNE Becoming the New Self-organizing Map? Similarities and Differences

Lee John A.

Pursuing the Perfect Projection: A Projection Pursuit Framework for Deep Learning

Jan-Ole Perschewski, Johann Schmidt, Sebastian Stober

Generalizing Self-Organizing Maps: Large-Scale Training of Gaussian Mixture Models and Applications in Data Science

Alexander R.T. Gepperth

A Self-Organizing UMAP For Clustering

Joshua Jordan Taylor, Stella Offner

Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation

Marika Kaden, Julius Voigt, Katrin Bohnsack, Mandy Lange-Geisler, Thomas Villmann

Exploring Data Distributions In Machine Learning Models With SOMs

Caroline König, Alfredo Vellido

Interpretable Machine Learning In Endocrinology: A Diagnostic Tool In Primary Aldosteronism

Michael Biehl, David Pavlov, Alice Sitch, Alessandro Prete, Wiebke Arlt

IRMA on Steroids: Improved Robustness and Interpretability of Feature Relevances

Elina L. van den Brandhof, Sofie Lövdal, James M. Hawley, Lorna C. Gilligan, Angela E. Taylor, Wiebke , Arlt, Michael Biehl

Rediscovering Chaos? Analysis of GPU Computing Effects in Graph-coupled NeuralODEs

Simon Heilig

Coping with Drift in Hyperspectral Sensor Data

Valerie Vaquet, Barbara Hammer

A Measure Theoretic Approach to Concept Drift in Infinite Data Streams

Fabian Hinder, Barbara Hammer

Probabilistic Learning Vector Quantization Based on Cross-Entropy-Loss and Integration of Class Relation Knowledge

Marika Kaden, Ronny Schubert, Thomas Villmann

Online Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions

Otavio Citton, Frederieke Richert, Michael Biehl

GMLVQ for fMRI Analysis in the Context of Movement Disorders

Mariya Shumska, Jelle Dalenberg, Remco Renken, Marina de Koning-Tijssen, Michael Biehl

Towards Explainable Rejects for Prototype-Based Classifiers.

Johannes Brinkrolf, Fabian Hinder

Phase Transitions of Soft Committee Machines with Arbitrary Activation Function

Otavio Citton, Frederieke Richert, Michael Biehl

Runtime-Processing for Microgravity Investigations Directly Attached to the Experiment

Jan Auth, Mohammad Babar Jafree, Wael Aly Mansour, Florian Zaussinger

Probabilistic Models with Invariance

Alexander R.T. Gepperth

Optimizing YOLOv5 for Green AI: A Study on Model Pruning and Lightweight Networks

Bangguo Xu, Simei Yan, Liang Liu, Frank-Michael Schleif

Process Phase Monitoring in Industrial Manufacturing Processes with a Hybrid Unsupervised Learning Strategy

Christian W. Frey

Knowledge Management in SMEs: Applying Link Prediction for Assisted Decision Making

Steven Lehmann, Jörg Schließer, Sandra Schumann, Heiner Winkler, Iren Jabs

Precision and Recall Reject Curves

Lydia Fischer, Patricia Wollstadt

K Minimum Enclosing Balls For Outlier Detection

Daniel Staps, Thomas Villmann, Benjamin Paaßen

The Beauty of Prototype Based Learning

Peter Tino

Setting Vector Quantizer Resolution via Density Estimation Theory

Joshua Jordan Taylor, Stella Offner

Practical Approaches to Approximate Dominant Eigenvalues in Large Matrices

Frank-Michael Schleif

Enhancing LDA Method by the Use of Feature Maximization

Jean-Charles Lamirel

Explaining Neural Networks - Deep and Shallow

Barbara Hammer

FairGLVQ: Fairness in Partition-Based Classification

Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer

About Interpretable Learning Rules For Vector Quantizers - A Methodological Approach

Ronny Schubert, Thomas Villmann