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C. von der Malsburg
- ESANN 2002 - Learning sparse representations of three-dimensional objects [Details]
- ESANN 2007 - Derivation of nonlinear amplitude equations for the normal modes of a self-organizing system [Details]
- ESANN 2020 - Comparison of Cluster Validity Indices and Decision Rules for Different Degrees of Cluster Separation [Details]
- ESANN 1996 - On unlearnable problems -or- A model for premature saturation in backpropagation learning [Details]
- ESANN 2019 - Machine learning in research and development of new vaccines products: opportunities and challenges [Details]
- ESANN 2004 - Using classification to determine the number of finger strokes on a multi-touch tactile device [Details]
- ESANN 2026 - Autoencoders versus PCA for feature extraction in FDG PET scans in neurodegenerative diseases [Details]
- ESANN 2020 - Softmax Recurrent Unit: A new type of RNN cell [Details]
- ESANN 2005 - Initialisation improvement in engineering feedforward ANN models [Details]
- ESANN 1994 - Estimation of performance bounds in supervised classification [Details]
- ESANN 1995 - Suboptimal Bayesian classification by vector quantization with small clusters [Details]
- ESANN 2004 - Neuro-predictive control based self-tuning of PID controllers [Details]
- ESANN 2004 - A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm [Details]
- ESANN 2009 - A variational radial basis function approximation for diffusion processes [Details]
- ESANN 2004 - Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions ? [Details]
- ESANN 2004 - Flexible and Robust Bayesian Classification by Finite Mixture Models [Details]
- ESANN 2004 - HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems [Details]
- ESANN 2006 - Discriminacy of the minimum range approach to blind separation of bounded sources [Details]
- ESANN 2006 - Non-orthogonal Support Width ICA [Details]
- ESANN 2026 - Clagging: Generating and combining predictions using clustering [Details]
- ESANN 2026 - Optimal Training of the Online Newton Algorithm based on Conformal CUSUM [Details]
- ESANN 2005 - Learning to classify a collection of images and texts [Details]
- ESANN 2019 - User-steering interpretable visualization with probabilistic principal components analysis [Details]
- ESANN 2024 - A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines [Details]
- ESANN 2020 - Explaining t-SNE Embeddings Locally by Adapting LIME [Details]
- ESANN 2023 - FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer [Details]
- ESANN 2024 - T-WinG: Windowing for Temporal Knowledge Graph Completion [Details]
- ESANN 2020 - On-edge adaptive acoustic models: an application to acoustic person presence detection [Details]
- ESANN 2021 - Real-time On-edge Classification: an Application to Domestic Acoustic Event Recognition [Details]
- ESANN 2025 - Exploring Model Architectures for Real-Time Lung Sound Event Detection [Details]