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
Verena Heidrich-Meisner
  • ESANN 2007 - Reinforcement learning in a nutshell [Details]
  • ESANN 2008 - Similarities and differences between policy gradient methods and evolution strategies [Details]
  • ESANN 2011 - Non-linearly increasing resampling in racing algorithms [Details]
J. Heikkonen
  • ESANN 1998 - Recurrent SOM with local linear models in time series prediction [Details]
  • ESANN 2000 - Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map [Details]
Simon Heilig
  • ESANN 2021 - Multi-perspective embedding for non-metric time series classification [Details]
Simon Heilig
  • No papers found
Simon Heilig
  • ESANN 2022 - Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification [Details]
Ulrich Heimann
  • ESANN 2009 - Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers [Details]
Daniel Hein
  • ESANN 2021 - Behavior Constraining in Weight Space for Offline Reinforcement Learning [Details]
  • ESANN 2024 - Why long model-based rollouts are no reason for bad Q-value estimates [Details]
  • ESANN 2025 - Is Q-learning an Ill-posed Problem? [Details]
Justin Heinermann
  • ESANN 2015 - Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction [Details]
Stefan Heinrich
  • ESANN 2018 - Continuous convolutional object tracking [Details]
Florian Heinrich
  • ESANN 2024 - Robustness and Regularization in Hierarchical Re-Basin [Details]
F. Heister
  • ESANN 2000 - Nonlinear, statistical data-analysis for the optimal construction of neural-network inputs with the concept of a mutual information [Details]
Arne Heittmann
  • ESANN 2012 - A hybrid CMOS/memristive nanoelectronic circuit for programming synaptic weights [Details]
Raymond Hélène
  • ESANN 2009 - A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises [Details]
Na Helian
  • ESANN 2023 - On Instance Weighted Clustering Ensembles [Details]
Thibault Helleputte
  • ESANN 2020 - Machine learning in the biopharma industry [Details]
Simon Heming
  • No papers found
Simon Heming
  • ESANN 2022 - Real-time capable Ensemble Estimation for 2D Object Detection [Details]
Ben Hen
  • No papers found
Ben Hen
  • ESANN 2022 - Improving Laplacian Pyramids Regression with Localization in Frequency and Time [Details]
Gustaf Hendeby
  • ESANN 2013 - A competitive approach for human activity recognition on smartphones [Details]
J. Henderson
  • ESANN 2002 - Estimating probabilities for unbounded categorization problems [Details]
Wouter Hendrickx
  • ESANN 2007 - Adaptive Global Metamodeling with Neural Networks [Details]
Julien M. Hendrickx
  • ESANN 2020 - Gaussian process regression for the estimation of stable univariate time-series processes [Details]
Julien Hendrickx
  • ESANN 2016 - Extending a two-variable mean to a multi-variable mean [Details]
Julien M. Hendrickx
  • ESANN 2017 - Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation [Details]
Pedro Henriques Abreu
  • ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
  • ESANN 2024 - Reconstruction of Mammography Projections using Image-to-Image Translation Techniques [Details]
Frédéric Henry
  • ESANN 2008 - Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks [Details]
Reeve Henry
  • ESANN 2017 - Degrees of Freedom in Regression Ensembles [Details]
Alexander Hentschel
  • ESANN 2014 - Exploiting similarity in system identification tasks with recurrent neural networks [Details]
Alexander Hepburn
  • ESANN 2025 - Direct versus intermediate multi-task transfer learning for dementia detection from unstructured conversations [Details]