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
Giacomo Iadarola
  • ESANN 2021 - Robust Malware Classification via Deep Graph Networks on Call Graph Topologies [Details]
S. Ibbou
  • ESANN 1995 - Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm [Details]
Alessandro Noriaki Ide
  • ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]
L. Idema
  • ESANN 1998 - Parsimonious learning feed-forward control [Details]
Dino Ienco
  • ESANN 2023 - Hierarchical priors for Hyperspherical Prototypical Networks [Details]
Christian Igel
  • ESANN 2004 - Evolutionary tuning of multiple SVM parameters [Details]
  • ESANN 2005 - Synergies between Evolutionary and Neural Computation [Details]
  • ESANN 2007 - Reinforcement learning in a nutshell [Details]
  • ESANN 2008 - Approximation of Gaussian process regression models after training [Details]
  • ESANN 2008 - Similarities and differences between policy gradient methods and evolution strategies [Details]
  • ESANN 2011 - Non-linearly increasing resampling in racing algorithms [Details]
  • ESANN 2011 - Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives [Details]
  • ESANN 2014 - Speedy greedy feature selection: Better redshift estimation via massive parallelism [Details]
  • ESANN 2015 - High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study [Details]
  • ESANN 2016 - Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs [Details]
Christian Igel
  • ESANN 2004 - Evolutionary Optimization of Neural Networks for Face Detection [Details]
Félix Iglesias
  • ESANN 2020 - SDOstream: Low-Density Models for Streaming Outlier Detection [Details]
Daniel Iglesias
  • ESANN 2021 - Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices [Details]
R. Iglesias
  • ESANN 2000 - Learning of perceptual states in the design of an adaptive wall-following behavior [Details]
Jorge Igual
  • ESANN 2006 - Source separation with priors on the power spectrum of the sources [Details]
Anusha Ihalapathirana
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
F. Ikatura
  • ESANN 2001 - Recognition of consonant-vowel utterances using Support Vector Machines [Details]
W. Ilg
  • ESANN 1998 - A RNN based control architecture for generating periodic action sequences [Details]
Alexander Ilin
  • ESANN 2006 - Independent dynamics subspace analysis [Details]
  • ESANN 2009 - Transformations for variational factor analysis to speed up learning [Details]
  • ESANN 2019 - Active one-shot learning with Prototypical Networks [Details]
Alexander Ilin
  • ESANN 2021 - A Relational Model for One-Shot Classification [Details]
  • ESANN 2022 - Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning [Details]
G.F. Inbar
  • ESANN 1998 - Polyhedral mixture of linear experts for many-to-one mapping inversion [Details]
Roberto Incitti
  • 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]
Giacomo Indiveri
  • ESANN 2004 - A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses [Details]
Rolf Ingold
  • ESANN 2021 - Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers [Details]
Maarten Inja
  • ESANN 2015 - Pareto Local Search for MOMDP Planning [Details]
J.-i. Inoue
  • ESANN 2000 - Quantum iterative algorithm for image reconstruction problems [Details]
T. Inoue
  • ESANN 2002 - Fuzzy support vector machines for multiclass problems [Details]
N. Intrator
  • ESANN 2003 - Ensemble of hybrid networks with strong regularization [Details]
Adrian Ion-Margineanu
  • ESANN 2017 - Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features [Details]
Anda IONESCU
  • ESANN 2017 - Indoor air pollutant sources using Blind Source Separation Methods [Details]
P. Isasi
  • ESANN 2001 - Designing nearest neighbour classifiers by the evolution of a population of prototypes [Details]
Fracesco Isgro
  • ESANN 2019 - Explaining classification systems using sparse dictionaries [Details]
W. Yoshida. S. Ishii
  • ESANN 2003 - A model-based reinforcement learning: a computational model and an fMRI study [Details]
M. Ishikawa
  • ESANN 1997 - Extraction of crisp logical rules using constrained backpropagation networks [Details]