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
Michiel Straat
  • ESANN 2019 - On-line learning dynamics of ReLU neural networks using statistical physics techniques [Details]
Sebastiano Stramaglia
  • ESANN 2007 - Causality and communities in neural networks [Details]
Felix Streichert
  • ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
Didier Stricker
  • ESANN 2013 - A competitive approach for human activity recognition on smartphones [Details]
Marc Strickert
  • ESANN 2004 - self-organizing context learning [Details]
  • ESANN 2005 - Generalized Relevance LVQ with Correlation Measures for Biological Data [Details]
  • ESANN 2005 - Relevance learning for mental disease classification [Details]
  • ESANN 2006 - Sanger-driven MDSLocalize - a comparative study for genomic data [Details]
  • ESANN 2008 - Metric adaptation for supervised attribute rating [Details]
  • ESANN 2010 - Adaptive matrix distances aiming at optimum regression subspaces [Details]
  • ESANN 2011 - Multispectral image characterization by partial generalized covariance [Details]
  • ESANN 2012 - Posterior regularization and attribute assessment of under-determined linear mappings [Details]
  • ESANN 2013 - A sparse kernelized matrix learning vector quantization model for human activity recognition [Details]
  • ESANN 2013 - Soft rank neighbor embeddings [Details]
  • ESANN 2014 - The Choquet kernel for monotone data [Details]
M. Strickert
  • ESANN 2003 - Unsupervised Recursive Sequence Processing [Details]
Paul Striewski
  • ESANN 2016 - Differentiable piecewise-Bézier interpolation on Riemannian manifolds [Details]
Dirk Stroobandt
  • ESANN 2005 - Isolated word recognition using a Liquid State Machine [Details]
  • ESANN 2007 - Adapting reservoir states to get Gaussian distributions [Details]
  • ESANN 2008 - Pruning and Regularisation in Reservoir Computing: a First Insight [Details]
P. Strumillo
  • ESANN 2001 - Neural networks with orthogonalised transfer functions [Details]
Karol Struniawski
  • ESANN 2023 - Performance Evaluation of Activation Functions in Extreme Learning Machine [Details]
Floran Stuijt
  • ESANN 2009 - Generalisation of action sequences in RNNPB networks with mirror properties [Details]
Tatjana Stykel
  • ESANN 2019 - Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results [Details]
Frederic Suard
  • ESANN 2007 - Kernel on Bag of Paths For Measuring Similarity of Shapes [Details]
  • ESANN 2014 - A robust regularization path for the Doubly Regularized Support Vector Machine [Details]
Rubén Suárez
  • ESANN 2011 - A Similarity Function with Local Feature Weighting for Structured Data [Details]
Alberto Suárez
  • ESANN 2012 - On the Independence of the Individual Predictions in Parallel Randomized Ensembles [Details]
  • ESANN 2014 - Improving the Robustness of Bagging with Reduced Sampling Size [Details]
Samuel Suárez-Marcote
  • ESANN 2023 - Logarithmic division for green feature selection: an information-theoretic approach [Details]
  • ESANN 2026 - Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data [Details]
Juan A. Suárez-Romero
  • ESANN 2007 - Classification of computer intrusions using functional networks. A comparative study [Details]
Anand Subramoney
  • ESANN 2025 - A variational framework for local learning with probabilistic latent representations [Details]
  • ESANN 2025 - Early Prediction of Dynamic Sparsity in Large Language Models [Details]
K. Suder
  • ESANN 1999 - Neural field description of state-dependent receptive field changes in the visual cortex [Details]
Takehiro Sugiyama
  • ESANN 2009 - Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix [Details]
Junichi Sugiyama
  • ESANN 2009 - Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix [Details]
Masashi Sugiyama
  • ESANN 2004 - Regularizing generalization error estimators: a novel approach to robust model selection [Details]
M. Sugiyama
  • ESANN 2000 - A new information criterion for the selection of subspace models [Details]
M. Sugumaran
  • ESANN 2017 - Large-scale nonlinear dimensionality reduction for network intrusion detection [Details]
Mika Sulkava
  • ESANN 2015 - Predicting the profitability of agricultural enterprises in dairy farming [Details]
Ping Sun
  • ESANN 2006 - Efficient Forward Regression with Marginal Likelihood [Details]
Yixuan Sun
  • ESANN 2023 - Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? [Details]
Jigang Sun
  • ESANN 2010 - Curvilinear component analysis and Bregman divergences [Details]
Lijun Sun
  • ESANN 2021 - Machine learning and data mining for urban mobility intelligence [Details]
Xiaohai Sun
  • ESANN 2007 - Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions [Details]
  • ESANN 2007 - Exploring the causal order of binary variables via exponential hierarchies of Markov kernels [Details]
  • ESANN 2007 - Learning causality by identifying common effects with kernel-based dependence measures [Details]