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
Martin Holeňa
  • No papers found
Martin Holeňa
  • ESANN 2022 - Neural-network-based estimation of normal distributions in black-box optimization [Details]
Peter Holland
  • ESANN 2013 - Read classification for next generation sequencing [Details]
S. Holles
  • ESANN 1998 - Selecting among candidate basis functions by crosscorrelations [Details]
G. Hollier
  • ESANN 2002 - Novelty detection for strain-gauge degradation using maximally correlated components [Details]
Jaakko Hollmén
  • ESANN 2008 - Selection of important input variables for RBF network using partial derivatives [Details]
  • ESANN 2014 - Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression [Details]
  • ESANN 2017 - Prediction of preterm infant mortality with Gaussian process classification [Details]
Alex Holloway
  • ESANN 2013 - Read classification for next generation sequencing [Details]
Herman R Holtslag
  • ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [Details]
Olaf Holz
  • ESANN 2014 - Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization [Details]
Stefan Holzer
  • ESANN 2018 - VisCoDeR: A tool for visually comparing dimensionality reduction algorithms [Details]
Clemens Holzner
  • ESANN 2009 - Brain Computer Interface for Virtual Reality Control [Details]
Paul Honeine
  • ESANN 2015 - Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance [Details]
  • ESANN 2015 - Pareto front of bi-objective kernel-based nonnegative matrix factorization [Details]
Antti Honkela
  • ESANN 2005 - Empirical evidence of the linear nature of magnetoencephalograms [Details]
  • ESANN 2007 - Agglomerative Independent Variable Group Analysis [Details]
  • ESANN 2015 - Gaussian process modelling of multiple short time series [Details]
Jean-Baptiste Hoock
  • ESANN 2009 - On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers [Details]
Sanaul Hoque
  • ESANN 2010 - A novel interactive biometric passport photograph alignment system [Details]
Jannis Horn
  • ESANN 2019 - Learning super-resolution 3D segmentation of plant root MRI images from few examples [Details]
S. Hornillo-Mellado
  • ESANN 2003 - Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation [Details]
Euler Horta
  • ESANN 2008 - A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy [Details]
  • ESANN 2014 - An Extreme Learning Approach to Active Learning [Details]
Enrique Hortal
  • ESANN 2019 - Bridging face and sound modalities through domain adaptation metric learning [Details]
Haruo Hosoya
  • ESANN 2011 - Abstract category learning [Details]
Gholam Ali Hossein-Zadeh
  • ESANN 2009 - Sparse differential connectivity graph of scalp EEG for epileptic patients [Details]
Babak Hosseini
  • ESANN 2018 - Feasibility based Large Margin Nearest Neighbor metric learning [Details]
  • ESANN 2019 - Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series [Details]
Shahram Hosseini
  • ESANN 2006 - A time-scale correlation-based blind separation method applicable to correlated sources [Details]
  • ESANN 2007 - Markovian blind separation of non-stationary temporally correlated sources [Details]
S. Hosseini
  • ESANN 1998 - Improving neural network estimation in presence of non i.i.d. noise [Details]
Lynn Houthuys
  • No papers found
Lynn Houthuys
  • ESANN 2022 - Machine learning for automated quality control in injection moulding manufacturing [Details]
Lynn Houthuys
  • ESANN 2016 - Clustering from two data sources using a kernel-based approach with weight coupling [Details]
Matthew Howard
  • ESANN 2013 - Locally Weighted Least Squares Temporal Difference Learning [Details]
  • ESANN 2017 - Learning null space projections fast [Details]
Gareth Howells
  • ESANN 2009 - FPGA-based enhanced probabilistic convergent weightless Network for human Iris recognition [Details]
  • ESANN 2009 - Novel Modular Weightless Neural Architectures for Biometrics-based Recognition [Details]
  • ESANN 2010 - A novel interactive biometric passport photograph alignment system [Details]
  • ESANN 2010 - Model Learning from Weights by Adaptive Enhanced Probabilistic Convergent Network [Details]
  • ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
T. Hrycej
  • ESANN 1997 - Error measure for identifying chaotic attractors [Details]