Alexander Schulz

59 papers A* 1B 10C 7Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating automatic label noise detection in 3D segmentation with realistic label noise. Neurocomputing Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer
2025	J	`jnl`	Conceptualizing Uncertainty. CoRR Isaac Roberts, Alexander Schulz, Sarah Schröder, Fabian Hinder, Barbara Hammer
2025	J	`jnl`	Noise Robust One-Class Intrusion Detection on Dynamic Graphs. CoRR Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2025	J	`jnl`	One-Class Intrusion Detection with Dynamic Graphs. CoRR Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2024	J	`jnl`	Debiasing Sentence Embedders through Contrastive Word Pairs. CoRR Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer
2024	—	`conf`	Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. CHIRA (2) René Lüdemann, Alexander Schulz, Ulrike Kuhl
2024	J	`jnl`	Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers. CoRR Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer
2024	B	`conf`	Noise Robust One-Class Intrusion Detection on Dynamic Graphs. ESANN Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2024	—	`conf`	Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks. BIOSTEC (1) Nils Grimmelsmann, Malte Mechtenberg, Markus Vieth, Alexander Schulz, Barbara Hammer, Axel Schneider
2024	C	`conf`	Semantic Properties of Cosine Based Bias Scores for Word Embeddings. ICPRAM Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Semantic Properties of cosine based bias scores for word embeddings. CoRR Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Targeted Visualization of the Backbone of Encoder LLMs. CoRR Isaac Roberts, Alexander Schulz, Luca Hermes, Barbara Hammer
2024	B	`conf`	The SAME score: Improved cosine based measure for semantic bias. IJCNN Sarah Schröder, Alexander Schulz, Barbara Hammer
2024	B	`conf`	Visualizing and Improving 3D Mesh Segmentation with DeepView. ESANN Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer
2023	C	`conf`	"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. ICPRAM André Artelt, Alexander Schulz, Barbara Hammer
2023	—	`conf`	Data Augmentation for Cardiovascular Time Series Data Using WaveNet. SSCI Robert Feldhans, Alexander Schulz, Johannes Kummert, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer
2023	C	`conf`	Debiasing Sentence Embedders Through Contrastive Word Pairs. ICPRAM Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer
2023	—	`conf`	Extending Drift Detection Methods to Identify When Exactly the Change Happened. IWANN (1) Markus Vieth, Alexander Schulz, Barbara Hammer
2023	—	`conf`	Generating Cardiovascular Data to Improve Training of Assistive Heart Devices. SSCI Johannes Kummert, Alexander Schulz, Robert Feldhans, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer
2023	—	`conf`	Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. IWANN (1) Sarah Schröder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer
2023	J	`jnl`	Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Comput. Sci. Johannes Kummert, Alexander Schulz, Barbara Hammer
2023	—	`conf`	One-Class Intrusion Detection with Dynamic Graphs. ICANN (4) Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2023	C	`conf`	So Can We Use Intrinsic Bias Measures or Not? ICPRAM Sarah Schröder, Alexander Schulz, Philip Kenneweg, Barbara Hammer
2022	J	`jnl`	"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction. CoRR André Artelt, Alexander Schulz, Barbara Hammer
2022	J	`jnl`	BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models. CoRR Lisa Langnickel, Alexander Schulz, Barbara Hammer, Juliane Fluck
2022	C	`conf`	Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. IDEAL Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer
2022	J	`jnl`	Reservoir Memory Machines as Neural Computers. IEEE Trans. Neural Networks Learn. Syst. Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
2022	J	`jnl`	Reservoir stack machines. Neurocomputing Benjamin Paaßen, Alexander Schulz, Barbara Hammer
2022	J	`jnl`	The SAME score: Improved cosine based bias score for word embeddings. CoRR Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
2021	J	`jnl`	Efficient Reject Options for Particle Filter Object Tracking in Medical Applications. Sensors Johannes Kummert, Alexander Schulz, Tim Redick, Nassim Ayoub, Ali Modabber, Dirk Abel, Barbara Hammer
2021	J	`jnl`	Evaluating Metrics for Bias in Word Embeddings. CoRR Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
2021	J	`jnl`	Reservoir Stack Machines. CoRR Benjamin Paaßen, Alexander Schulz, Barbara Hammer
2020	A*	`conf`	DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. IJCAI Alexander Schulz, Fabian Hinder, Barbara Hammer
2020	J	`jnl`	Reservoir Memory Machines as Neural Computers. CoRR Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
2020	B	`conf`	Reservoir memory machines. ESANN Benjamin Paassen, Alexander Schulz
2020	J	`jnl`	Reservoir memory machines. CoRR Benjamin Paassen, Alexander Schulz
2019	J	`jnl`	DeepView: Visualizing the behavior of deep neural networks in a part of the data space. CoRR Alexander Schulz, Fabian Hinder, Barbara Hammer
2018	J	`jnl`	Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
2018	—	`conf`	Transfer Learning of Complex Motor Skills on the Humanoid Robot Affetto. ICDL-EPIROB Alexander Schulz, Jeffrey Frederic Queißer, Hisashi Ishihara, Minoru Asada
2017	B	`conf`	An EM transfer learning algorithm with applications in bionic hand prostheses. ESANN Benjamin Paassen, Alexander Schulz, Janne Hahne, Barbara Hammer
2017	—	`—`	Discriminative dimensionality reduction: variations, applications, interpretations Alexander Schulz
2017	B	`conf`	Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. AIME Cosima Prahm, Alexander Schulz, Benjamin Paaßen, Oskar Aszmann, Barbara Hammer, Georg Dorffner
2017	J	`jnl`	Efficient kernelisation of discriminative dimensionality reduction. Neurocomputing Alexander Schulz, Johannes Brinkrolf, Barbara Hammer
2017	J	`jnl`	Expectation maximization transfer learning and its application for bionic hand prostheses. CoRR Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
2017	—	`conf`	Linear supervised transfer learning for the large margin nearest neighbor classifier. SSCI Kolja Berger, Alexander Schulz, Benjamin Paaßen, Barbara Hammer
2016	B	`conf`	Discriminative dimensionality reduction in kernel space. ESANN Alexander Schulz, Barbara Hammer
2015	B	`conf`	Discriminative dimensionality reduction for regression problems using the Fisher metric. IJCNN Alexander Schulz, Barbara Hammer
2015	—	`conf`	Inferring Feature Relevances From Metric Learning. SSCI Alexander Schulz, Bassam Mokbel, Michael Biehl, Barbara Hammer
2015	—	`conf`	Metric Learning in Dimensionality Reduction. ICPRAM (1) Alexander Schulz, Barbara Hammer
2015	J	`jnl`	Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2015	B	`conf`	Unsupervised Dimensionality Reduction for Transfer Learning. ESANN Patrick Blöbaum, Alexander Schulz, Barbara Hammer
2015	J	`jnl`	Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Process. Lett. Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2015	—	`conf`	Visualization of Regression Models Using Discriminative Dimensionality Reduction. CAIP (2) Alexander Schulz, Barbara Hammer
2014	B	`conf`	Relevance Learning for Dimensionality Reduction. ESANN Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2014	C	`conf`	Valid interpretation of feature relevance for linear data mappings. CIDM Benoît Frénay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer
2013	C	`conf`	Applications of Discriminative Dimensionality Reduction. ICPRAM Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
2013	—	`conf`	Discriminative Dimensionality Reduction for the Visualization of Classifiers. ICPRAM (Selected Papers) Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2013	—	`conf`	Using Nonlinear Dimensionality Reduction to Visualize Classifiers. IWANN (1) Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2012	—	`conf`	How to Visualize Large Data Sets? WSOM Barbara Hammer, Andrej Gisbrecht, Alexander Schulz