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
Sven Wachsmuth
  • ESANN 2011 - Automatic Enhancement of Correspondence Detection in an Object Tracking System [Details]
Tim Waegeman
  • ESANN 2012 - A discrete/rhythmic pattern generating RNN [Details]
Willem Waegeman
  • ESANN 2010 - Directional predictions for 4-class BCI data [Details]
Peter Waiganjo Wagacha
  • ESANN 2017 - Comparison of adaptive MCMC methods [Details]
Johan Wagemans
  • ESANN 2024 - Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks [Details]
Jörg Wagner
  • ESANN 2016 - Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks [Details]
  • ESANN 2016 - Simultaneous estimation of rewards and dynamics from noisy expert demonstrations [Details]
  • ESANN 2017 - Learning Semantic Prediction using Pretrained Deep Feedforward Networks [Details]
  • ESANN 2018 - Hierarchical Recurrent Filtering for Fully Convolutional DenseNets [Details]
Kelvin Wagner
  • ESANN 2004 - Implementation and coupling of dynamic neurons through optoelectronics [Details]
A. Waibel
  • ESANN 1998 - Hierarchies of neural networks for connectionist speech recognition [Details]
A.R. Wallace
  • ESANN 1999 - The application of neural networks to the paper-making industry [Details]
Dan S. Wallach
  • ESANN 2021 - Machine Learning for Measuring and Analyzing Online Social Communications [Details]
Carina Walter
  • ESANN 2011 - Classifying mental states with machine learning algorithms using alpha activity decline [Details]
J.A. Walter
  • ESANN 1998 - Learning associative mappings from few examples [Details]
Armin Walter
  • ESANN 2013 - Decoding stimulation intensity from evoked ECoG activity using support vector regression [Details]
Bradley Walters
  • ESANN 2021 - The partial response SVM [Details]
Patrick Wambacq
  • ESANN 2020 - On the long-term learning ability of LSTM LMs [Details]
E. A. Wan
  • ESANN 2001 - Efficient derivative-free Kalman filters for online learning [Details]
Nils Wandel
  • ESANN 2019 - Complex Valued Gated Auto-encoder for Video Frame Prediction [Details]
Nils Wandel
  • ESANN 2020 - 3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution [Details]
Maria Fernanda Wanderley
  • ESANN 2013 - GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems [Details]
Jingbin Wang
  • ESANN 2017 - Learning convolutional neural network to maximize Pos@Top performance measure [Details]
Zefeng Wang
  • ESANN 2011 - Approaches for Automatic Speaker Recognition in a Binaural Humanoid Context [Details]
Min Wang
  • ESANN 2005 - A neural network approach of ultra-wideband nearfield adaptive beamforming [Details]
  • ESANN 2005 - A ridgelet kernel regression model using genetic algorithm [Details]
  • ESANN 2005 - UWB radar target identification based on linear RBFNN [Details]
Meihui Wang
  • ESANN 2022 - Attention-based Ingredient Phrase Parser [Details]
Lingyu Wang
  • ESANN 2018 - Prototype-based analysis of GAMA galaxy catalogue data [Details]
Weiwei Wang
  • ESANN 2023 - Graph-based Categorical Embedding [Details]
QI WANG
  • ESANN 2018 - transferring style in motion capture sequences with adversarial learning [Details]
Shuang Wang
  • ESANN 2005 - Radar target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithm [Details]
Nan Wang
  • ESANN 2012 - An analysis of Gaussian-binary restricted Boltzmann machines for natural images [Details]
Piyang Wang
  • ESANN 2007 - A new feature selection scheme using data distribution factor for transactional data [Details]
Peng Wang
  • ESANN 2014 - Electric load forecasting using wavelet transform and extreme learning machine [Details]