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
Elisabetta Chicca
  • ESANN 2004 - A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses [Details]
C.-F. Chine
  • ESANN 2000 - Fuzzy entropy-constrained competitive learning algorithm [Details]
Omar Chiotti
  • ESANN 2005 - A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier [Details]
Alessio Barbaro Chisari
  • ESANN 2024 - Federated Learning in a Semi-Supervised Environment for Earth Observation Data [Details]
S. Cho
  • ESANN 1996 - Neural network application: rainfall forecasting system in Hong Kong [Details]
Hyunggi Cho
  • ESANN 2009 - A neural network model of landmark recognition in the fiddler crab, Uca lactea [Details]
Tomáš Chobola
  • ESANN 2020 - Unsupervised Latent Space Translation Network [Details]
S. Choi
  • ESANN 1997 - A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria [Details]
Abiola Paterne Chokki
  • ESANN 2024 - ChatDT: Simplifying Constraint Integration in Decision Trees [Details]
Bhavin Choksi
  • ESANN 2025 - Analysing the impact of brain-inspired predictive coding dynamics through gradient based explainability methods [Details]
  • ESANN 2025 - Predictive Coding Dynamics Enhance Model-Brain Similarity [Details]
Tommy W. S. Chow
  • ESANN 2007 - A new feature selection scheme using data distribution factor for transactional data [Details]
T.W.S. Chow
  • ESANN 1995 - Neural network piecewise linear preprocessing for time-series prediction [Details]
  • ESANN 1996 - Neural network application: rainfall forecasting system in Hong Kong [Details]
  • ESANN 1997 - Neural network adative wavelets for function approximation [Details]
  • ESANN 2003 - Searching optimal feature subset using mutual information [Details]
Stephane Chretien
  • ESANN 2021 - Benign overfitting of fully connected Deep Nets:A Sobolev space viewpoint [Details]
Jean-Joseph Christophe
  • ESANN 2014 - Direct Model-Predictive Control [Details]
Dimitrakakis Christos
  • ESANN 2004 - online policy adaptation for ensemble classifiers [Details]
C.F. Christoyannis
  • ESANN 1995 - Alternative output representation schemes affect learning and generalization of back-propagation ANNs; a decision support application [Details]
Nicolas Chrysanthos
  • ESANN 2014 - The one-sided mean kernel: a positive definite kernel for time series [Details]
Wei Chu
  • ESANN 2004 - protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models [Details]
Giorgio Ciano
  • ESANN 2020 - Graph Neural Networks for the Prediction of Protein-Protein Interfaces [Details]
Andrej Cichocki
  • ESANN 2011 - Information theory related learning [Details]
A. Cichocki
  • ESANN 1996 - Recurrent least square learning for quasi-parallel principal component analysis [Details]
Andrzej Cichocki
  • ESANN 2004 - Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform [Details]
Radoslaw Cichy
  • ESANN 2025 - Predictive Coding Dynamics Enhance Model-Brain Similarity [Details]
Christine Cierco-Ayrolles
  • ESANN 2013 - Multiple Kernel Self-Organizing Maps [Details]
Gabriele Cierniak
  • ESANN 2011 - Classifying mental states with machine learning algorithms using alpha activity decline [Details]
Giacomo Cignoni
  • ESANN 2025 - Replay-free Online Continual Learning with Self-Supervised MultiPatches [Details]
Philipp Cimiano
  • ESANN 2013 - DYNG: Dynamic Online Growing Neural Gas for stream data classification [Details]
Antonio Emanuele Cinà
  • ESANN 2023 - On the Limitations of Model Stealing with Uncertainty Quantification Models [Details]
Iulian Ciocoiu
  • ESANN 2004 - Face Recognition Using Recurrent High-Order Associative Memories [Details]
M. Ciszak
  • ESANN 2003 - Anticipated synchronization in neuron models [Details]