| 2026 | ESANN | A Possible Human-Centered Embedding Space Search in Degenerate Clifford Algebras. | Isaac Roberts, Louis Mozart Kamdem Teyou, Alexander Schulz, N'Dah Jean Kouagou, Axel-Cyrille Ngonga Ngomo, Barbara Hammer |
| 2025 | ESANN | Conceptualizing Concept Drift. | Isaac Roberts, Fabian Hinder, Valerie Vaquet, Alexander Schulz, Barbara Hammer |
| 2025 | ESANN | Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models. | Sarah Schrder, Alexander Schulz, Barbara Hammer |
| 2024 | CHIRA | Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. | Ren Ldemann, Alexander Schulz, Ulrike Kuhl |
| 2024 | ESANN | Noise Robust One-Class Intrusion Detection on Dynamic Graphs. | Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer |
| 2024 | ESANN | Visualizing and Improving 3D Mesh Segmentation with DeepView. | Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer |
| 2024 | GI | HollerithEnergyML: A Prototype of a Machine Learning Energy Consumption Recommender System. | Michael Zanger, Alexander Schulz, Lukas Grodmeier, Dion Agaj, Rafael Schindler, Lukas Weiss, Michael Mhring |
| 2024 | ICPRAM | Semantic Properties of Cosine Based Bias Scores for Word Embeddings. | Sarah Schrder, Alexander Schulz, Fabian Hinder, Barbara Hammer |
| 2024 | IJCNN | The SAME score: Improved cosine based measure for semantic bias. | Sarah Schrder, Alexander Schulz, Barbara Hammer |
| 2023 | ICANN | One-Class Intrusion Detection with Dynamic Graphs. | Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer |
| 2023 | ICPRAM | "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. | Andr Artelt, Alexander Schulz, Barbara Hammer |
| 2023 | ICPRAM | Debiasing Sentence Embedders Through Contrastive Word Pairs. | Philip Kenneweg, Sarah Schrder, Alexander Schulz, Barbara Hammer |
| 2023 | ICPRAM | So Can We Use Intrinsic Bias Measures or Not? | Sarah Schrder, Alexander Schulz, Philip Kenneweg, Barbara Hammer |
| 2023 | IWANN | Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. | Sarah Schrder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer |
| 2023 | IWANN | Extending Drift Detection Methods to Identify When Exactly the Change Happened. | Markus Vieth, Alexander Schulz, Barbara Hammer |
| 2022 | IDEAL | Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. | Philip Kenneweg, Alexander Schulz, Sarah Schrder, Barbara Hammer |
| 2020 | ESANN | Reservoir memory machines. | Benjamin Paassen, Alexander Schulz |
| 2020 | IJCAI | DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. | Alexander Schulz, Fabian Hinder, Barbara Hammer |
| 2017 | AIME | Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. | Cosima Prahm, Alexander Schulz, Benjamin Paaen, Oskar Aszmann, Barbara Hammer, Georg Dorffner |
| 2017 | ESANN | An EM transfer learning algorithm with applications in bionic hand prostheses. | Benjamin Paassen, Alexander Schulz, Janne Hahne, Barbara Hammer |
| 2016 | ESANN | Discriminative dimensionality reduction in kernel space. | Alexander Schulz, Barbara Hammer |
| 2015 | CAIP | Visualization of Regression Models Using Discriminative Dimensionality Reduction. | Alexander Schulz, Barbara Hammer |
| 2015 | ESANN | Unsupervised Dimensionality Reduction for Transfer Learning. | Patrick Blbaum, Alexander Schulz, Barbara Hammer |
| 2015 | ICPRAM | Metric Learning in Dimensionality Reduction. | Alexander Schulz, Barbara Hammer |
| 2015 | IJCNN | Discriminative dimensionality reduction for regression problems using the Fisher metric. | Alexander Schulz, Barbara Hammer |
| 2014 | CIDM | Valid interpretation of feature relevance for linear data mappings. | Benot Frnay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer |
| 2014 | ESANN | Relevance Learning for Dimensionality Reduction. | Alexander Schulz, Andrej Gisbrecht, Barbara Hammer |
| 2013 | ICPRAM | Discriminative Dimensionality Reduction for the Visualization of Classifiers. | Andrej Gisbrecht, Alexander Schulz, Barbara Hammer |
| 2013 | ICPRAM | Applications of Discriminative Dimensionality Reduction. | Barbara Hammer, Andrej Gisbrecht, Alexander Schulz |
| 2013 | IECON | Force prediction and radial force compensation of a switched reluctance motor. | Thomas Hinterdorfer, Alexander Schulz, Harald Sima |
| 2013 | IWANN | Using Nonlinear Dimensionality Reduction to Visualize Classifiers. | Alexander Schulz, Andrej Gisbrecht, Barbara Hammer |