Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Marc Brown
  • ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]
A. Browne
  • ESANN 1994 - Variable binding in a neural network using a distributed representation [Details]
Matthias Brucklacher
  • ESANN 2021 - Hierarchical Planning in Multilayered State-Action Networks [Details]
  • No papers found
Dominik Brugger
  • ESANN 2008 - Direct and inverse solution for a stimulus adaptation problem using SVR [Details]
Joan Bruna Estrach
  • ESANN 2010 - Geometric models with co-occurrence groups [Details]
N. Brunel
  • ESANN 1997 - Optimal tuning curves for neurons spiking as a Poisson process [Details]
Camille Brunet
  • ESANN 2009 - Classification of high-dimensional data for cervical cancer detection [Details]
  • ESANN 2011 - Probabilistic Fisher discriminant analysis [Details]
Joao Victor Bruneti Severino
  • ESANN 2018 - Radar Based Pedestrian Detection using Support Vector Machine and the Micro Doppler Effect [Details]
Cornelia Brüß
  • ESANN 2006 - Fuzzy image segmentation with Fuzzy Labelled Neural Gas [Details]
  • ESANN 2007 - Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS [Details]
J. Bruske
  • ESANN 1996 - Praticing Q-learning [Details]
  • ESANN 1999 - Estimating the intrinsic dimensionality of hyperspectral images [Details]
S. Buchholz
  • ESANN 2000 - Quaternionic spinor MLP [Details]
Lucie Büchi
  • ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
Juri Buchmüller
  • ESANN 2018 - G-Rap: interactive text synthesis using recurrent neural network suggestions [Details]
A. Budillon
  • ESANN 1999 - Independent component analysis for mixture densities [Details]
Vicente Buendia-Ramon
  • ESANN 2011 - Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps [Details]
Jean-Luc Buessler
  • ESANN 2013 - Novelty detection in image recognition using IRF Neural Networks properties [Details]
A. Buhot
  • ESANN 1997 - Numerical simulations of an optimal algorithm for supervised learning [Details]
  • ESANN 1999 - Detection of two Gaussian clusters [Details]
  • ESANN 1999 - Statistical mechanics of support vector machine [Details]
Bogusz Bujnowski
  • ESANN 2025 - Expressivity vs. Generalization in Quantum Kernel Methods [Details]
David Buldain
  • ESANN 2004 - Visual person tracking with a Supervised Conditioning-SOM [Details]
  • ESANN 2011 - SO-VAT: Self-Organizing Visual Assessment of cluster Tendency for large data sets [Details]
  • ESANN 2012 - magnitude sensitive competitive learning [Details]
J. A. Bullinaria
  • ESANN 2000 - Regularization in oculomotor control [Details]
John Bullinaria
  • ESANN 2005 - Evolving neural networks: Is it really worth the effort? [Details]
J.A. Bullinaria
  • ESANN 1994 - Noise reduction by multi-target learning [Details]
J. Bullinaria
  • ESANN 1999 - Regularization in oculomotor adaptation [Details]
Astrid Bunge
  • ESANN 2019 - Dynamic fairness - Breaking vicious cycles in automatic decision making [Details]
Kerstin Bunte
  • ESANN 2020 - ASAP - A Sub-sampling Approach for Preserving Topological Structures [Details]
  • ESANN 2022 - Adaptive Gabor Filters for Interpretable Color Texture Classification [Details]
  • ESANN 2023 - Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise [Details]
  • ESANN 2025 - Solar Panel Segmentation on Aerial Images using Color and Elevation Information [Details]
Kerstin Bunte
  • ESANN 2023 - Multispectral Texture Classification in Agriculture [Details]
  • ESANN 2025 - Adaptive Locally Aligned Ant Technique for Manifold Detection and Denoising [Details]
Kerstin Bunte
  • ESANN 2009 - Adaptive Metrics for Content Based Image Retrieval in Dermatology [Details]
  • ESANN 2009 - Nonlinear Discriminative Data Visualization [Details]
  • ESANN 2010 - Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization [Details]
  • ESANN 2011 - Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization [Details]
  • ESANN 2011 - Supervised dimension reduction mappings [Details]
  • ESANN 2012 - Adaptive learning for complex-valued data [Details]
  • ESANN 2013 - Soft rank neighbor embeddings [Details]
  • ESANN 2015 - Unsupervised dimensionality reduction: the challenge of big data visualization [Details]
  • ESANN 2017 - Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders [Details]
  • ESANN 2018 - Globular Cluster Detection in the Gaia Survey [Details]
  • ESANN 2018 - Machine learning and data analysis in astroinformatics [Details]
  • ESANN 2019 - Efficient learning of email similarities for customer support [Details]
C. Bunzmann
  • ESANN 2002 - Supervised learning in committee machines by PCA [Details]
Andrea Burattin
  • ESANN 2010 - Heuristics Miner for Time Intervals [Details]