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Christoph Schommer
- ESANN 2019 - Topic-based historical information selection for personalized sentiment analysis [Details]
- ESANN 2018 - Self-learning assembly systems during ramp-up [Details]
- ESANN 2023 - On the Limitations of Model Stealing with Uncertainty Quantification Models [Details]
- ESANN 2025 - Exploring Model Architectures for Real-Time Lung Sound Event Detection [Details]
- ESANN 2021 - AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context [Details]
- ESANN 2005 - Isolated word recognition using a Liquid State Machine [Details]
- ESANN 2006 - Linking non-binned spike train kernels to several existing spike train metrics [Details]
- ESANN 2006 - Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic [Details]
- ESANN 2007 - Adapting reservoir states to get Gaussian distributions [Details]
- ESANN 2007 - An overview of reservoir computing: theory, applications and implementations [Details]
- ESANN 2007 - Bat echolocation modelling using spike kernels with Support Vector Regression. [Details]
- ESANN 2008 - Pruning and Regularisation in Reservoir Computing: a First Insight [Details]
- ESANN 2009 - Non-markovian process modelling with Echo State Networks [Details]
- ESANN 2009 - Recent advances in efficient learning of recurrent networks [Details]
- ESANN 2010 - Extending reservoir computing with random static projections: a hybrid between extreme learning and RC [Details]
- ESANN 2010 - Machine Learning Techniques based on Random Projections [Details]
- ESANN 2012 - A discrete/rhythmic pattern generating RNN [Details]
- ESANN 2015 - Fast greedy insertion and deletion in sparse Gaussian process regression [Details]
- ESANN 2018 - Generative Kernel PCA [Details]
- ESANN 2003 - Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach [Details]
- ESANN 2005 - Feature selection for high-dimensional industrial data [Details]
- ESANN 2022 - Neural Architecture Search for Sentence Classification with BERT [Details]
- ESANN 2025 - Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models [Details]
- ESANN 2026 - Linearity of Sensitive Concepts in Language Models [Details]
- No papers found
- ESANN 2023 - Variants of Neural Gas for Regression Learning [Details]
- ESANN 2024 - About Vector Quantization and its Privacy in Federated Learning [Details]
- ESANN 2025 - Integrating Class Relation Knowledge in Probabilistic Learning Vector Quantization [Details]
- ESANN 2025 - Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ [Details]
- ESANN 2025 - Towards Learning Vector Quantization in the Setting of Homomorphic Encryption [Details]
- ESANN 2026 - Reliable Counterfactuals for Machine Learning Models - Current Aspects and Perspectives [Details]
- ESANN 2021 - The LVQ-based Counter Propagation Network -- an Interpretable Information Bottleneck Approach [Details]
- ESANN 2000 - A neural network architecture for automatic segmentation of fluorescence micrographs [Details]
- ESANN 2010 - A critique of BCM behavior verification for STDP-type plasticity models [Details]
- ESANN 1999 - Information retrieval systems using an associative conceptual space [Details]
- ESANN 2009 - On the routing complexity of neural network models - Rent's Rule revisited [Details]
- ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
- ESANN 2018 - interpretation of convolutional neural networks for speech regression from electrocorticography [Details]
- ESANN 2010 - Exploiting local structure in stacked Boltzmann machines [Details]
- ESANN 2012 - Learning Object-Class Segmentation with Convolutional Neural Networks [Details]
- ESANN 2015 - Depth and height aware semantic RGB-D perception with convolutional neural networks [Details]
- ESANN 2020 - Reservoir memory machines [Details]
- ESANN 2024 - Noise Robust One-Class Intrusion Detection on Dynamic Graphs [Details]
- ESANN 2024 - Visualizing and Improving 3D Mesh Segmentation with DeepView [Details]
- ESANN 2025 - Conceptualizing Concept Drift [Details]
- ESANN 2025 - Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models [Details]
- ESANN 2026 - A Possible Human-Centered Embedding Space Search in Degenerate Clifford Algebras [Details]
- ESANN 2014 - Relevance Learning for Dimensionality Reduction [Details]
- ESANN 2015 - Unsupervised Dimensionality Reduction for Transfer Learning [Details]
- ESANN 2016 - Discriminative dimensionality reduction in kernel space [Details]
- ESANN 2017 - An EM transfer learning algorithm with applications in bionic hand prostheses [Details]
- ESANN 2011 - Automatic Enhancement of Correspondence Detection in an Object Tracking System [Details]
- ESANN 1996 - A self-organizing map for analysis of high-dimensional feature spaces with clusters of highly differing feature density [Details]
- ESANN 1999 - A hierarchical self-organizing feature map for analysis of not well separable clusters of different feature density [Details]
- ESANN 2001 - Relevance determination in Learning Vector Quantization [Details]
- ESANN 1999 - Dimensionality reduction by local processing [Details]
- ESANN 1999 - Segmentation-free detection of overtaking vehicles with a two-stage time-delay neural network classifier [Details]
- ESANN 2026 - Local Concept Embeddings in the Context of Self-Supervised Learning [Details]
- ESANN 2026 - Topology-Preserving Prototype Learning on Riemannian Manifolds [Details]