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C. Leder
- ESANN 2000 - Stability assessment of electric power systems using growing neural gas and self-organizing maps [Details]
- ESANN 2008 - Rank-based quality assessment of nonlinear dimensionality reduction [Details]
- ESANN 2009 - Adaptive anisotropic denoising: a bootstrapped procedure [Details]
- ESANN 2009 - Patch-based bilateral filter and local m-smoother for image denoising [Details]
- ESANN 2012 - Incremental feature building and classification for image segmentation [Details]
- ESANN 2012 - Type 1 and 2 symmetric divergences for stochastic neighbor embedding [Details]
- ESANN 2016 - Human-centered machine learning through interactive visualization: review and open challenges [Details]
- ESANN 2019 - Class-aware t-SNE: cat-SNE [Details]
- ESANN 2019 - Tensor factorization to extract patterns in multimodal EEG data [Details]
- ESANN 2002 - Curvilinear Distance Analysis versus Isomap [Details]
- ESANN 2003 - Locally Linear Embedding versus Isotop [Details]
- ESANN 2005 - sparse Bayesian promoter based gene classification [Details]
- ESANN 2009 - Oscillation in a network model of neocortex [Details]
- ESANN 2020 - Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition [Details]
- ESANN 2003 - On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures [Details]
- ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
- ESANN 2000 - A robust non-linear projection method [Details]
- ESANN 2000 - Time series forecasting using CCA and Kohonen maps - application to electricity consumption [Details]
- ESANN 2001 - Input data reduction for the prediction of financial time series [Details]
- ESANN 2002 - Width optimization of the Gaussian kernels in Radial Basis Function Networks [Details]
- ESANN 2004 - a sliding mode controller using neural networks for robot manipulator [Details]
- ESANN 2010 - Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising [Details]
- ESANN 2010 - Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning [Details]
- ESANN 2015 - Geometrical homotopy for data visualization [Details]
- ESANN 2015 - Unsupervised dimensionality reduction: the challenge of big data visualization [Details]
- ESANN 2017 - Large-scale nonlinear dimensionality reduction for network intrusion detection [Details]
- ESANN 2021 - Temperature as a Regularizer for Semantic Segmentation [Details]
- ESANN 2004 - Architectures for Nanoelectronic Neural Networks: New Results [Details]
- ESANN 2023 - Hybrid Deep Learning-Based Air and Water Quality Prediction Model [Details]
- ESANN 2004 - How to project `circular' manifolds using geodesic distances? [Details]
- ESANN 2006 - Non-orthogonal Support Width ICA [Details]
- ESANN 2013 - Sensitivity to parameter and data variations in dimensionality reduction techniques [Details]
- ESANN 2014 - Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction [Details]
- ESANN 2014 - Recent methods for dimensionality reduction: A brief comparative analysis [Details]
- ESANN 2018 - Capturing variabilities from Computed Tomography images with Generative Adversarial Networks (GANs) [Details]
- ESANN 2018 - Extensive assessment of Barnes-Hut t-SNE [Details]
- ESANN 2018 - Information visualisation and machine learning: latest trends towards convergence [Details]
- ESANN 2018 - Perplexity-free t-SNE and twice Student tt-SNE [Details]
- ESANN 2021 - Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling [Details]
- ESANN 2006 - A Gaussian process latent variable model formulation of canonical correlation analysis [Details]
- ESANN 2006 - Stochastic Processes for Canonical Correlation Analysis [Details]
- ESANN 2012 - Sparse Nonparametric Topic Model for Transfer Learning [Details]
- ESANN 2003 - Autonomous learning algorithm for fully connected recurrent networks [Details]
- ESANN 2008 - Petri nets design based on neural networks [Details]
- ESANN 2009 - Self-organising map for large scale processes monitoring [Details]
- ESANN 2013 - A nuclear-norm based convex formulation for informed source separation [Details]
- ESANN 2016 - A new penalisation term for image retrieval in clique neural networks [Details]
- ESANN 2014 - Discrimination of visual pedestrians data by combining projection and prediction learning [Details]
- ESANN 2015 - Resource-efficient Incremental learning in very high dimensions [Details]
- ESANN 2015 - Using self-organizing maps for regression: the importance of the output function [Details]
- ESANN 1993 - Optimal decision surfaces in LVQ1 classiffication of patterns [Details]
- ESANN 1995 - Suboptimal Bayesian classification by vector quantization with small clusters [Details]
- ESANN 2002 - Mobile radio access network monitoring using the self-organizing map [Details]
- ESANN 2006 - Hierarchical analysis of GSM network performance data [Details]
- ESANN 1995 - Simplified cascade-correlation learning [Details]
- ESANN 1996 - Maximum covariance method for weight initialization of multilayer perceptron network [Details]
- ESANN 2003 - On radial basis function network equalization in the GSM system [Details]
- ESANN 2024 - Visualizing and Improving 3D Mesh Segmentation with DeepView [Details]
- ESANN 2001 - Analysis of dynamic perfusion MRI data by neural networks [Details]
- ESANN 2003 - Road Singularities Detection and Classification [Details]
- ESANN 2018 - Evolutionary Composition of Customized Fault Localization Heuristics [Details]