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
A. Canas
  • ESANN 2002 - Evaluating the impact of multiplicative input perturbations on radial basis function networks [Details]
Nicola Cancedda
  • ESANN 2008 - Factored sequence kernels [Details]
Brais Cancela
  • ESANN 2023 - Green Machine Learning [Details]
Rossella Cancelliere
  • ESANN 2008 - Classification of chestnuts with feature selection by noise resilient classifiers [Details]
R. Cancelliere
  • ESANN 2003 - Neural Network Performances in Astronomical Image Processing [Details]
Rossella Cancelliere
  • ESANN 2022 - Lightening CNN architectures by regularization driven weights' pruning [Details]
  • ESANN 2024 - Vision Language Models as Policy Learners in Reinforcement Learning Environments [Details]
  • ESANN 2025 - A feedback-loop approach for galaxy physical properties estimation [Details]
Rossella Cancelliere
  • No papers found
Yves CANDAU
  • ESANN 2017 - Indoor air pollutant sources using Blind Source Separation Methods [Details]
Ana Lucia Candeias
  • ESANN 2012 - texture classification based on symbolic data analysis [Details]
Petrônio Cândido de Lima e Silva
  • ESANN 2018 - An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series [Details]
Renzo Canepa
  • ESANN 2021 - In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models [Details]
  • ESANN 2022 - Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets [Details]
Andrea Canessa
  • ESANN 2009 - A neural model for binocular vergence control without explicit calculation of disparity [Details]
Bertrand Cannelle
  • ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
Cristiane Canton
  • ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
Cristiane Canton
  • No papers found
Stéphane Canu
  • ESANN 2005 - Translation invariant classification of non-stationary signals [Details]
  • ESANN 2005 - Kernel methods and the exponential family [Details]
  • ESANN 2007 - Computing and stopping the solution paths for $\nu$-SVR [Details]
  • ESANN 2007 - Estimation of tangent planes for neighborhood graph correction [Details]
  • ESANN 2008 - Regularization path for Ranking SVM [Details]
  • ESANN 2011 - A Multi-kernel Framework for Inductive Semi-supervised Learning [Details]
  • ESANN 2013 - Detection and quantification in real-time polymerase chain reaction [Details]
  • ESANN 2014 - A robust regularization path for the Doubly Regularized Support Vector Machine [Details]
  • ESANN 2014 - Robust outlier detection with L0-SVDD [Details]
  • ESANN 2015 - Optimal transport for semi-supervised domain adaptation [Details]
  • ESANN 2016 - Converting SVDD scores into probability estimates [Details]
  • ESANN 2019 - L1-norm double backpropagation adversarial defense [Details]
S. Canu
  • ESANN 1995 - Control of complexity in learning with perturbed inputs [Details]
X.-R. Cao
  • ESANN 1997 - Blind equalization with a linear feedforward neural network [Details]
Andrea Caponnetto
  • ESANN 2005 - Support vector algorithms as regularization networks [Details]
Sorin Carari
  • ESANN 2004 - Neuro-predictive control based self-tuning of PID controllers [Details]
Félix M. Carballal-Fortes
  • ESANN 2007 - Classification of computer intrusions using functional networks. A comparative study [Details]
Jaime Carbonell
  • ESANN 2018 - Temporal transfer learning for drift adaptation [Details]
Simon Carbonnelle
  • ESANN 2019 - Experimental study of the neuron-level mechanisms emerging from backpropagation [Details]
Matteo Cardellini
  • ESANN 2021 - In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models [Details]
Martha Ivon Cardenas
  • ESANN 2025 - Altered emotion recognition from psychiatric patient profiles using Machine Learning [Details]
Martha Ivón Cárdenas
  • ESANN 2011 - A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences [Details]
Alberto Cardoso
  • ESANN 2021 - Decay Momentum for Improving Federated Learning [Details]
Douglas de O. Cardoso
  • ESANN 2011 - Clustering data streams with weightless neural networks [Details]
Douglas Cardoso
  • ESANN 2014 - Credit analysis with a clustering RAM-based neural classifier [Details]
  • ESANN 2017 - A neuro-symbolic approach to GPS trajectory classification [Details]
Jean-François Cardoso
  • ESANN 2019 - Beyond Pham's algorithm for joint diagonalization [Details]