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
Margerie Huet-Dastarac
  • ESANN 2021 - Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models [Details]
  • ESANN 2023 - Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer [Details]
Karsten Huffstadt
  • ESANN 2019 - Towards a device-free passive presence detection system with Bluetooth Low Energy beacons [Details]
Ronny Hug
  • ESANN 2017 - Supporting generative models of spatial behavior by user interaction [Details]
Beverly Hughes
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
Bernard Hugueney
  • ESANN 2009 - Simultaneous Clustering and Segmentation for Functional Data [Details]
J. Huhse
  • ESANN 2001 - Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attraction [Details]
Kalevi Huhtala
  • ESANN 2019 - Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems [Details]
Pablo Huijse
  • ESANN 2018 - Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders [Details]
Eyke Hüllermeier
  • ESANN 2014 - The Choquet kernel for monotone data [Details]
Eyke Hüllermeier
  • ESANN 2023 - On Feature Removal for Explainability in Dynamic Environments [Details]
  • ESANN 2025 - Explaining Outliers using Isolation Forest and Shapley Interactions [Details]
Jana Hüls
  • ESANN 2025 - INAM: Image-Scale Neural Additive Models [Details]
M. Hülse
  • ESANN 2003 - Evolved Neurodynamics for Robot Control [Details]
C. Humbert
  • ESANN 1998 - A multistage on-line learning rule for multilayer neural network [Details]
Alexander Hunt
  • ESANN 2026 - On the Importance of Time Constants in Spiking Neural Networks [Details]
Alexander Huntemann
  • ESANN 2009 - Augmenting Information from Brain-Computer Interfaces through Bayesian Plan Recognition [Details]
P. Husbands
  • ESANN 1993 - Incremental evolution of neural network architectures for adaptive behavior [Details]
D. Husek
  • ESANN 1993 - Once more on the information capacity of the hopefield network [Details]
  • ESANN 1999 - Nonlinear factorization in sparsely encoded Hopfield-like neural networks [Details]
A. Hussain
  • ESANN 2002 - Stochastic resonance and finite resolution in a leaky integrate-and-fire neuron [Details]
A. Hussein
  • ESANN 2003 - Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks [Details]
Matthias Hutsebaut-Buysse
  • ESANN 2020 - Language Grounded Task-Adaptation in Reinforcement Learning [Details]
  • ESANN 2024 - Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning [Details]
  • ESANN 2025 - Reducing the stability gap for continual learning at the edge with class balancing [Details]
J. Huyghebaert
  • ESANN 1993 - Mixture states in Potts neural networks [Details]
Bao Tuyen Huynh
  • ESANN 2018 - Regularised maximum-likelihood inference of mixture of experts for regression and clustering [Details]
Wen-Jyi Hwang
  • ESANN 2013 - Efficient VLSI Architecture for Spike Sorting Based on Generalized Hebbian Algorithm [Details]
W.-J. Hwang
  • ESANN 2000 - Fuzzy entropy-constrained competitive learning algorithm [Details]
  • ESANN 2003 - Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm [Details]
H. Hyötyniemi
  • ESANN 1997 - State-space modeling using self-organizing maps [Details]
Fjola Hyseni
  • ESANN 2023 - Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra Finches [Details]
Aapo Hyvärinen
  • ESANN 2006 - FastISA: A fast fixed-point algorithm for independent subspace analysis [Details]
  • ESANN 2009 - Learning reconstruction and prediction of natural stimuli by a population of spiking neurons [Details]