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
Jorge Graneri
  • ESANN 2024 - Exploring Self-Organizing Maps for Addressing Semantic Impairments [Details]
Lars Gräning
  • ESANN 2005 - Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study [Details]
C. Grassmann
  • ESANN 2002 - PCNN neurocomputers - Event driven and parallel architectures [Details]
Antoine Gratia
  • ESANN 2024 - CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search [Details]
Ricardo Grau
  • No papers found
Rolando Grave de Peralta Menendez
  • ESANN 2009 - Multiclass brain computer interface based on visual attention [Details]
Alex Graves
  • ESANN 2007 - RNN-based Learning of Compact Maps for Efficient Robot Localization [Details]
Alessio Gravina
  • ESANN 2023 - Hidden Markov Models for Temporal Graph Representation Learning [Details]
P. Grégoire
  • ESANN 1998 - Forecasting time-series by Kohonen classification [Details]
Warren Gregson
  • ESANN 2015 - Measuring scoring efficiency through goal expectancy estimation [Details]
M. Greschner
  • ESANN 2001 - Extracting motion information using a biologically realistic model retina [Details]
J. Gresser
  • ESANN 2001 - A divide-and-conquer learning architecture for predicting unknown motion [Details]
Arthur Gretton
  • ESANN 2019 - Conditional BRUNO: a neural process for exchangeable labelled data [Details]
Rémi Gribonval
  • ESANN 2006 - A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges [Details]
Stig Griebenow
  • ESANN 2025 - Open-Vocabulary Robotic Object Manipulation using Foundation Models [Details]
Bruno Grieco
  • ESANN 2009 - Extracting fuzzy rules from “mental” images generated by a modified WISARD perceptron [Details]
C. Grimes
  • ESANN 2002 - When does geodesic distance recover the true hidden parametrization of families of articulated images? [Details]
Nils Grimmelsmann
  • ESANN 2024 - Similarity-Based Zero-Shot Domain Adaptation for Wearables [Details]
Enrico Grisan
  • ESANN 2019 - Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients [Details]
Richard Grisel
  • ESANN 2021 - Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets [Details]
Andrey Gritsenko
  • ESANN 2017 - Advanced query strategies for Active Learning with Extreme Learning Machines [Details]
Christoph Groenegress
  • ESANN 2009 - Brain Computer Interface for Virtual Reality Control [Details]
Marta Gromicho
  • ESANN 2024 - Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis [Details]
Sonja Gronroos
  • ESANN 2023 - Knowledge Distillation for Anomaly Detection [Details]
Perry Groot
  • ESANN 2009 - Multi-task Preference learning with Gaussian Processes [Details]
Claudius Gros
  • No papers found
Claudius Gros
  • ESANN 2009 - Stimulus processing and unsupervised learning in autonomously active recurrent networks [Details]
  • ESANN 2015 - An objective function for self-limiting neural plasticity rules. [Details]
  • ESANN 2017 - Complex activity patterns generated by short-term synaptic plasticity [Details]
Claudius Gros
  • ESANN 2022 - Size Scaling in Self-Play Reinforcement Learning [Details]
Wolfgang Groß
  • ESANN 2017 - Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks [Details]
Horst-Michael Groß
  • ESANN 2012 - Effects of noise-reduction on neural function approximation [Details]