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
Patrick Gallinari
  • ESANN 2020 - Resume: A Robust Framework for Professional Profile Learning & Evaluation [Details]
Alberto Gallinaro
  • ESANN 2021 - Privacy-Preserving Kernel Computation For Vertically Partitioned Data [Details]
Kyle Gallivan
  • ESANN 2019 - Minimax center to extract a common subspace from multiple datasets [Details]
  • ESANN 2019 - Preconditioned conjugate gradient algorithms for graph regularized matrix completion [Details]
Antonio Gallo
  • ESANN 2008 - An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees [Details]
Yves Mendes Galvao
  • ESANN 2020 - CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning [Details]
Carlos J. Gálvez-Fernández
  • ESANN 2008 - Multilayer perceptron to model the decarburization process in stainless steel production [Details]
Leo Galway
  • ESANN 2008 - Improvement in Game Agent Control Using State-Action Value Scaling [Details]
J. Gama
  • ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
João Gama
  • ESANN 2011 - Clustering data streams with weightless neural networks [Details]
Matteo Gambella
  • ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
Eduard Gamito
  • No papers found
Manjunath Gandhi
  • ESANN 2012 - Theory of Input Driven Dynamical Systems [Details]
Dario Gandini
  • No papers found
Amir H. Gandomi
  • ESANN 2024 - Large Language Models as Tuning Agents of Metaheuristics [Details]
Sangram Ganguly
  • ESANN 2015 - Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets [Details]
Lei Gao
  • ESANN 2013 - Sensor Positioning for Activity Recognition Using Multiple Accelerometer-Based Sensors [Details]
Huaien Gao
  • ESANN 2007 - Spiral Recurrent Neural Network for Online Learning [Details]
  • ESANN 2008 - Conditional prediction of time series using spiral recurrent neural network [Details]
Liang Gaoyuan
  • ESANN 2017 - Learning convolutional neural network to maximize Pos@Top performance measure [Details]
Diego García
  • ESANN 2017 - Latent variable analysis in hospital electric power demand using non-negative matrix factorization [Details]
Maria M. García
  • No papers found
Alexandre Garcia
  • ESANN 2018 - Learning with a Fisher surrogate loss in a small data regime [Details]
David L. García
  • ESANN 2007 - Identification of churn routes in the Brazilian telecommunications market [Details]
  • ESANN 2013 - Visualizing pay-per-view television customers churn using cartograms and flow maps [Details]
Daniel García
  • ESANN 2025 - Improving Robustness of Defect Detection models using Adversarial-based Data Augmentation [Details]
Aleix García
  • ESANN 2025 - Improving Robustness of Defect Detection models using Adversarial-based Data Augmentation [Details]
Arcadio García Alberola
  • ESANN 2006 - Bootstrap feature selection in support vector machines for ventricular fibrillation detection [Details]
Jesús García Fernández
  • ESANN 2021 - Enhancing brain decoding using attention augmented deep neural networks [Details]
Michael Garcia Ortiz
  • ESANN 2016 - Grounding the experience of a visual field through sensorimotor contingencies [Details]
Carlos García Resúa
  • ESANN 2016 - On the analysis of feature selection techniques in a conjunctival hyperemia grading framework [Details]
M. Angeles Garcia-Bernal
  • ESANN 2007 - Spicules-based competitive neural network [Details]
Rocío García-Durán
  • ESANN 2011 - A Similarity Function with Local Feature Weighting for Structured Data [Details]