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
Joseph Ghafari
  • ESANN 2014 - Extreme learning machines for Internet traffic classification [Details]
Faisal Ghaffar
  • ESANN 2020 - Investigating 3D-STDenseNet for Explainable Spatial Temporal Crime Forecasting [Details]
Mohammadmahdi Ghahramani
  • No papers found
Mohammadmahdi Ghahramani
  • ESANN 2022 - Price direction prediction in financial markets, using Random Forest and Adaboost [Details]
Zoubin Ghahramani
  • ESANN 2004 - protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models [Details]
Alireza Gharabaghi
  • ESANN 2013 - Decoding stimulation intensity from evoked ECoG activity using support vector regression [Details]
Hassan Ghaziri
  • ESANN 2007 - Self-organized chains for clustering [Details]
Luca Ghelardoni
  • ESANN 2012 - The `K' in K-fold Cross Validation [Details]
Bogdan Gherman
  • ESANN 2009 - Novel Modular Weightless Neural Architectures for Biometrics-based Recognition [Details]
Alessandro Ghio
  • ESANN 2010 - Maximal Discrepancy for Support Vector Machines [Details]
  • ESANN 2011 - Maximal Discrepancy vs. Rademacher Complexity for error estimation [Details]
  • ESANN 2012 - Structural Risk Minimization and Rademacher Complexity for Regression [Details]
  • ESANN 2012 - The `K' in K-fold Cross Validation [Details]
  • ESANN 2013 - A Learning Machine with a Bit-Based Hypothesis Space [Details]
  • ESANN 2013 - A Public Domain Dataset for Human Activity Recognition using Smartphones [Details]
  • ESANN 2013 - Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments [Details]
  • ESANN 2014 - Byte The Bullet: Learning on Real-World Computing Architectures [Details]
  • ESANN 2014 - Learning with few bits on small-scale devices: From regularization to energy efficiency [Details]
  • ESANN 2015 - Advances in learning analytics and educational data mining [Details]
  • ESANN 2015 - Human Algorithmic Stability and Human Rademacher Complexity [Details]
  • ESANN 2015 - Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs [Details]
Ranadhir Ghosh
  • ESANN 2004 - A Modular Framework for Multi category feature selection in Digital mammography [Details]
Moumita Ghosh
  • ESANN 2004 - A Modular Framework for Multi category feature selection in Digital mammography [Details]
Anarta Ghosh
  • ESANN 2005 - The dynamics of Learning Vector Quantization [Details]
  • ESANN 2007 - On the dynamics of Vector Quantization and Neural Gas [Details]
  • ESANN 2008 - Phase transitions in Vector Quantization [Details]
Sreejita Ghosh
  • ESANN 2017 - Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders [Details]
L. Ghouti
  • ESANN 2002 - Use of artificial neural networks process analyzers: a case study [Details]
Lahouari Ghouti
  • ESANN 2014 - Mobility Prediction Using Fully-Complex Extreme Learning Machines [Details]
  • ESANN 2014 - NMF-Density: NMF-Based Breast Density Classifier [Details]
  • ESANN 2019 - On the Speedup of Deep Reinforcement Learning Deep Q-Networks (RL-DQNs) [Details]
Robin Ghyselinck
  • ESANN 2024 - Leveraging endoscopic data with Contrastive Learning for Crohn’s disease detection [Details]
  • ESANN 2025 - Mask-Aware Cropping: Mitigating Mask Imbalance in Segmentation Tasks [Details]
Giorgia Giacomini
  • ESANN 2020 - Graph Neural Networks for the Prediction of Protein-Protein Interfaces [Details]
N. Giambiasi
  • ESANN 1993 - An algorithm to learn sequences within the connectionist sequential machine [Details]
Petros Giannakopoulos
  • ESANN 2017 - A Deep Q-Learning Agent for L-Game with Variable Batch Training [Details]
Federico Giannini
  • ESANN 2025 - Don't drift away: Advances and Applications of Streaming and Continual Learning [Details]
Nikos Gianniotis
  • ESANN 2024 - Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra [Details]
Nikolaos Gianniotis
  • ESANN 2007 - Visualisation of tree-structured data through generative probabilistic modelling [Details]
  • ESANN 2015 - Autoencoding time series for visualisation [Details]
  • ESANN 2016 - Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs [Details]
Michalis Giannopoulos
  • ESANN 2017 - Application of Tensor and Matrix Completion on Environmental Sensing Data [Details]
Alexandra Gianzina
  • ESANN 2025 - Robust Evolutionary Multi-Objective Neural Architecture Search for Reinforcement Learning (EMNAS-RL) [Details]
Agostino Gibaldi
  • ESANN 2009 - A neural model for binocular vergence control without explicit calculation of disparity [Details]
Guillaume Gibert
  • ESANN 2009 - Sensors selection for P300 speller brain computer interface [Details]
W.G. Gibson
  • ESANN 1994 - Stability and bifurcation in an autoassociative memory model [Details]
Fabian Gieseke
  • ESANN 2014 - Speedy greedy feature selection: Better redshift estimation via massive parallelism [Details]
  • ESANN 2016 - Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs [Details]
Fabian Gieseke
  • ESANN 2023 - End-to-End Neural Network Training for Hyperbox-Based Classification [Details]