Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces

Benjamin Paaßen, Christina Göpfert, Barbara Hammer

FRI -- Feature Relevance Intervals for Interpretable and Interactive Data Exploration

Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann +2

Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning

Babak Hosseini, Barbara Hammer

Non-Negative Kernel Sparse Coding for the Classification of Motion Data

Babak Hosseini, Felix Hülsmann, Mario Botsch +1

Optimum Reject Options for Prototype-based Classification

Lydia Fischer, Barbara Hammer, Heiko Wersing

How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix

Wouter Lueks, Bassam Mokbel, Michael Biehl +1

Adversarial Robustness Curves

Christina Göpfert, Jan Philip Göpfert, Barbara Hammer

The paper introduces robustness curves as a way to analyze a model's adversarial robustness without fixing a specific robustness threshold or norm, and studies how the shape of the…

Median topographic maps for biomedical data sets

Barbara Hammer, Alexander Hasenfuß, Fabrice Rossi

Batch and median neural gas

Marie Cottrell, Barbara Hammer, Alexander Hasenfuss +1

Prototype-based classifiers in the presence of concept drift: A modelling framework

Michael Biehl, Fthi Abadi, Christina Göpfert +1

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces

Benjamin Paaßen, Barbara Hammer, Thomas William Price +3

Efficient Metric Learning for the Analysis of Motion Data

Babak Hosseini, Barbara Hammer

Feature Relevance Bounds for Ordinal Regression

Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl +2

Tree Edit Distance Learning via Adaptive Symbol Embeddings

Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli +1

Confident Kernel Sparse Coding and Dictionary Learning

Babak Hosseini, Barbara Hammer

Feasibility Based Large Margin Nearest Neighbor Metric Learning

Babak Hosseini, Barbara Hammer

Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series

Babak Hosseini, Barbara Hammer

Expectation maximization transfer learning and its application for bionic hand prostheses

Benjamin Paaßen, Alexander Schulz, Janne Hahne +1

Non-Negative Local Sparse Coding for Subspace Clustering

Babak Hosseini, Barbara Hammer