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
Michele Fontanesi
  • ESANN 2024 - XAI and Bias of Deep Graph Networks [Details]
Julie Fontecave-Jallon
  • ESANN 2021 - Fusion of estimations from two modalities using the Viterbi's algorithm: application to fetal heart rate monitoring [Details]
O. Fontenla-Romero
  • ESANN 2003 - Accelerating the convergence speed of neural networks learning methods using least squares [Details]
  • ESANN 2003 - Recursive Least Squares for an Entropy Regularized MSE Cost Function [Details]
  • ESANN 2003 - Self-organizing maps and functional networks for local dynamic modeling [Details]
Oscar Fontenla-Romero
  • ESANN 2004 - Shear strength prediction using dimensional analysis and functional networks [Details]
  • ESANN 2008 - A Method for Time Series Prediction using a Combination of Linear Models [Details]
  • ESANN 2008 - A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis [Details]
  • ESANN 2011 - A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms [Details]
  • ESANN 2012 - One-class classifier based on extreme value statistics [Details]
  • ESANN 2014 - Modeling consumption of contents and advertising in online newspapers [Details]
  • ESANN 2016 - A fast learning algorithm for high dimensional problems: an application to microarrays [Details]
  • ESANN 2016 - Distributed learning algorithm for feedforward neural networks [Details]
  • ESANN 2016 - One-class classification algorithm based on convex hull [Details]
  • ESANN 2017 - Mutual information for improving the efficiency of the SCH algorithm [Details]
  • ESANN 2018 - LANN-DSVD: A privacy-preserving distributed algorithm for machine learning [Details]
Oscar Fontenla-Romero
  • ESANN 2021 - Federated Learning approach for SpectralClustering [Details]
M. Forcada
  • ESANN 1999 - Neural learning of approximate simple regular languages [Details]
M.L. Forcada
  • ESANN 1999 - Encoding of sequential translators in discrete-time recurrent neural nets [Details]
Florent Forest
  • ESANN 2024 - From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics [Details]
Florent Forest
  • ESANN 2019 - Deep Embedded SOM: joint representation learning and self-organization [Details]
Loris Foresti
  • ESANN 2010 - Time series input selection using multiple kernel learning [Details]
Alexander Förster
  • ESANN 2007 - RNN-based Learning of Compact Maps for Efficient Robot Localization [Details]
J.C. Fort
  • ESANN 1994 - A lateral contribution learning algorithm for multi MLP architecture [Details]
  • ESANN 1994 - Two or three things that we know about the Kohonen algorithm [Details]
J.-C. Fort
  • ESANN 1994 - A non linear Kohonen algorithm [Details]
  • ESANN 1995 - About the Kohonen algorithm: strong or weak self-organization? [Details]
  • ESANN 1996 - Quantization vs Organization in the Kohonen S.O.M. [Details]
  • ESANN 1997 - Almost sure convergence of the one-dimensional Kohonen algorithm [Details]
  • ESANN 2002 - Advantages and drawbacks of the Batch Kohonen algorithm [Details]
Luigi Fortuna
  • ESANN 2008 - An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees [Details]
L. Fortuna
  • ESANN 1998 - Cellular neural networks: from chaos generation to compexity modelling [Details]
François Fouss
  • ESANN 2005 - clustering using a random walk based distance measure [Details]
  • ESANN 2014 - Improving accuracy by reducing the importance of hubs in nearest-neighbor recommendations [Details]
  • ESANN 2014 - The Sum-over-Forests clustering [Details]
R.J. Foxall
  • ESANN 2002 - Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality [Details]
  • ESANN 2003 - Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression [Details]
M.A. Foy
  • ESANN 2002 - A data vizualisation method for investigating the reliability of a high-dimensional low-back-pain MLP network [Details]
Pasqualina Fragneto
  • ESANN 2017 - Approximate operations in Convolutional Neural Networks with RNS data representation [Details]
Kary Främling
  • ESANN 2021 - Context-specific sampling method for contextual explanations [Details]
Kary Främling
  • ESANN 2005 - Adaptive robot learning in a non-stationary environment [Details]
  • ESANN 2007 - Replacing eligibility trace for action-value learning with function approximation [Details]
Felipe França
  • ESANN 2023 - Sun Tracking using a Weightless Q-Learning Neural Network [Details]
  • ESANN 2023 - WiSARD-based Ensemble Learning [Details]
Felipe França
  • ESANN 2009 - A brief introduction to Weightless Neural Systems [Details]
  • ESANN 2009 - Extracting fuzzy rules from “mental” images generated by a modified WISARD perceptron [Details]
  • ESANN 2012 - Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks [Details]
  • ESANN 2013 - B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier [Details]
  • ESANN 2013 - Dynamic Placement with Connectivity for RSNs based on a Primal-Dual Neural Network [Details]
  • ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
  • ESANN 2015 - A WiSARD-based multi-term memory framework for online tracking of objects [Details]
  • ESANN 2017 - A neuro-symbolic approach to GPS trajectory classification [Details]
  • ESANN 2017 - ELM vs. WiSARD: a performance comparison [Details]
  • ESANN 2018 - Near-optimal facial emotion classification using a WiSARD-based weightless system [Details]
F. França
  • ESANN 1998 - Generating arbitrary rhythmic patterns with purely inhibitory neural networks [Details]
Felipe M. G. França
  • ESANN 2011 - Clustering data streams with weightless neural networks [Details]
Felipe França
  • ESANN 2020 - Detection of elementary particles with the WiSARD n-tuple classifier [Details]
  • ESANN 2020 - Fast Deep Neural Networks Convergence using a Weightless Neural Model [Details]
  • ESANN 2020 - Interpretation of Model Agnostic Classifiers via Local Mental Images [Details]
  • ESANN 2021 - A bag of nodes primer on weightless graph classification [Details]
  • ESANN 2021 - Functional Gradient Descent for n-Tuple Regression [Details]
  • ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
  • ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
  • ESANN 2022 - Pruning Weightless Neural Networks [Details]
Marc Francaux
  • ESANN 2019 - MAP best performances prediction for endurance runners [Details]
N. Franceschini
  • ESANN 1996 - Biologically inspired eye movements for visually guided navigation of mobile robots [Details]
Stanislas Francfort
  • ESANN 2014 - Extreme learning machines for Internet traffic classification [Details]
Danilo Franco
  • ESANN 2023 - Mitigating Robustness Bias: Theoretical Results and Empirical Evidences [Details]