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
M. Copelli
  • ESANN 1997 - Noise robustness in the perceptron [Details]
Gilles Coppin
  • ESANN 2024 - Invariant Representation Learning for Generalizable Imitation [Details]
Andrea Coraddu
  • ESANN 2025 - Reconciling Grokking with Statistical Learning Theory [Details]
Marilys Corbex
  • ESANN 2008 - Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification [Details]
A. Corbi
  • ESANN 1999 - Neural learning of approximate simple regular languages [Details]
Sacha Corbugy
  • ESANN 2024 - Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation [Details]
E. Corchado
  • ESANN 2001 - Rectified Gaussian distributions and the formation of local filters from video data [Details]
  • ESANN 2002 - Maximum likelihood Hebbian rules [Details]
Matthieu Cord
  • ESANN 2012 - Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm [Details]
L. Corleto
  • ESANN 1996 - Error rate estimation via cross-validation and learning curve theory [Details]
Marco Corneli
  • ESANN 2023 - Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM [Details]
Marco Corneli
  • ESANN 2022 - Deep latent position model for node clustering in graphs [Details]
Marco Corneli
  • ESANN 2015 - Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks [Details]
Marco Corneli
  • No papers found
Dan Cornford
  • ESANN 2009 - A variational radial basis function approximation for diffusion processes [Details]
Francesco Corona
  • ESANN 2006 - Determination of the Mahalanobis matrix using nonparametric noise estimations [Details]
  • ESANN 2007 - Nearest Neighbor Distributions and Noise Variance Estimation [Details]
  • ESANN 2008 - Linear Projection based on Noise Variance Estimation - Application to Spectral Data [Details]
  • ESANN 2008 - Using the Delta Test for Variable Selection [Details]
  • ESANN 2011 - Locating Anomalies Using Bayesian Factorizations and Masks [Details]
Barbara Toniella Corradini
  • No papers found
A. Corradini
  • ESANN 1999 - Visual-based posture recognition using hybrid neural networks [Details]
Barbara Toniella Corradini
  • ESANN 2022 - A Deep Learning approach for oocytes segmentation and analysis [Details]
João Gabriel Corrêa Krüger
  • ESANN 2022 - A Machine Learning Approach for School Dropout Prediction in Brazil [Details]
João Gabriel Corrêa Krüger
  • No papers found
André Correia
  • ESANN 2023 - DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety [Details]
Marie-Constance Corsi
  • ESANN 2024 - Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface [Details]
Marc-Michel Corsini
  • ESANN 2004 - Computational model of amygdala network supported by neurobiological data [Details]
Iliana Isabel Cortés Pérez
  • ESANN 2024 - Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra [Details]
P. Cortez
  • ESANN 2001 - Lamarckian training of feedforward neural networks [Details]
  • ESANN 2003 - Adaptive Learning in Changing Environments [Details]
Carlos Cosenza
  • ESANN 2020 - Interpretation of Model Agnostic Classifiers via Local Mental Images [Details]
M. Cosnard
  • ESANN 1993 - Probabilistic decision trees ans multilayered perceptrons [Details]
J. Cosp
  • ESANN 2001 - A microelectronic implementation of a bioinspired analog matrix for object segmentation of a visual scene [Details]
Jordi Cosp
  • ESANN 2004 - BIOSEG: a bioinspired vlsi analog system for image segmentation [Details]
Andrea Cossu
  • ESANN 2021 - Continual Learning with Echo State Networks [Details]
  • ESANN 2022 - Continual Learning for Human State Monitoring [Details]
  • ESANN 2023 - A Protocol for Continual Explanation of SHAP [Details]