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
Tram Ho
  • ESANN 2026 - SPARC: Superpixel-based Black-Box Adversarial Attack with Regional Confidence [Details]
S.L. Ho
  • ESANN 2004 - Time Series Analysis for Quality Improvement: a Soft Computing Approach [Details]
Marius Hobbhahn
  • ESANN 2020 - Sequence Classification using Ensembles of Recurrent Generative Expert Modules [Details]
Sebastian Hoch
  • ESANN 2021 - Sample efficient localization and stage prediction with autoencoders [Details]
V. J. Hodge
  • ESANN 2001 - An integrated neural IR system [Details]
L. Hoegaerts
  • ESANN 2003 - Kernel PLS variants for regression [Details]
Eirik Hoel-Høiseth
  • ESANN 2026 - Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection [Details]
Katharina Hofer-Schmitz
  • ESANN 2018 - One-class Autoencoder approach to classify Raman spectra outliers [Details]
Ulrich Hoffmann
  • ESANN 2006 - Spatial filters for the classification of event-related potentials [Details]
Daniela Hofmann
  • ESANN 2013 - Sparse approximations for kernel learning vector quantization [Details]
Ulrich Hofmann
  • ESANN 2021 - Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling [Details]
Nico Höft
  • ESANN 2015 - Depth and height aware semantic RGB-D perception with convolutional neural networks [Details]
James Hogan
  • ESANN 2013 - Read classification for next generation sequencing [Details]
  • ESANN 2014 - Weighted tree kernels for sequence analysis [Details]
Sviatlana Höhn
  • ESANN 2019 - Topic-based historical information selection for personalized sentiment analysis [Details]
Martin Holeňa
  • ESANN 2022 - Neural-network-based estimation of normal distributions in black-box optimization [Details]
Martin Holeňa
  • No papers found
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]
Paul Honeine
  • ESANN 2025 - Coherence-based Sample Selection for Class-incremental Learning [Details]
  • ESANN 2026 - A Deep Learning Diagnostic Observer for Time Series Anomaly Detection [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]