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
Marco Maggini
  • ESANN 2004 - Recursive networks for processing graphs with labelled edges [Details]
  • ESANN 2006 - A Cyclostationary Neural Network model for the prediction of the NO2 concentration [Details]
Matteo Maggiolo
  • ESANN 2019 - Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction [Details]
M. Maggiore
  • ESANN 1998 - Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis [Details]
F. Maghrebi
  • ESANN 1998 - On a Hopfield net arising in the modelling and control of over-saturated signalized intersections [Details]
Nooshin Maghsoodi
  • ESANN 2016 - Localized discriminative Gaussian process latent variable model for text-dependent speaker verification [Details]
Bernardo Magnini
  • ESANN 2024 - Vision Language Models as Policy Learners in Reinforcement Learning Environments [Details]
George Magoulas
  • ESANN 2004 - A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm [Details]
  • ESANN 2017 - Training convolutional networks with weight–wise adaptive learning rates [Details]
J.-P. Magué
  • ESANN 2002 - Neural networks for modeling memory : case studies [Details]
Liam Maguire
  • ESANN 2014 - A new biologically plausible supervised learning method for spiking neurons [Details]
Brian Maguire
  • ESANN 2020 - Investigating 3D-STDenseNet for Explainable Spatial Temporal Crime Forecasting [Details]
G. Maguire
  • ESANN 1995 - Sustained and transient amacrine cell circuits underlying the receptive fields of ganglion cells in the vertebrate retina [Details]
  • ESANN 1996 - Simulation of an inner plexiform layer neural circuit in vertebrate retina leads to sustained and transient excitation [Details]
Kushagra Mahajan
  • ESANN 2021 - Data-Efficient Training of High-Resolution Images in Medical Domain [Details]
Pierre Mahé
  • ESANN 2008 - Factored sequence kernels [Details]
Gaurav Maheshwari
  • ESANN 2012 - RNN Based Batch Mode Active Learning Framework [Details]
Arnaud Mahieux
  • ESANN 2024 - Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes [Details]
Ashique Mahmood
  • No papers found
Sidi Ahmed Mahmoudi
  • ESANN 2023 - Multimodal Approach for Harmonized System Code Prediction [Details]
  • ESANN 2023 - Similarity versus Supervision: Best Approaches for HS Code Prediction [Details]
Asghar Mahmoudi
  • No papers found
Saïd Mahmoudi
  • ESANN 2025 - SecureBFL: a Blockchain-enhanced federated learning architecture with MPC [Details]
Antoine Mahul
  • ESANN 2006 - Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints [Details]
Everardo Maia
  • ESANN 2010 - Image registration by the extended evolutionary self-organizing map [Details]
Felipe Maia Galvão França
  • ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
  • ESANN 2019 - Prediction of palm oil production with an enhanced n-Tuple Regression Network [Details]
Marc Maier
  • ESANN 2005 - Using generic neural networks in the control and prediction of grasp postures [Details]
Betrand Maillet
  • ESANN 2015 - Towards a Tomographic Index of Systemic Risk Measures [Details]
Bertrand Maillet
  • ESANN 2007 - ICA-based High Frequency VaR for Risk Management [Details]
  • ESANN 2007 - SOM+EOF for finding missing values [Details]
  • ESANN 2009 - A robust hybrid DHMM-MLP modelling of financial crises measured by the WhIMS [Details]
  • ESANN 2009 - A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises [Details]
  • ESANN 2009 - X-SOM and L-SOM: a nested approach for missing value imputation [Details]
  • ESANN 2013 - Forecasting Financial Markets with Classified Tactical Signals [Details]
Maxime Maillot
  • ESANN 2012 - A generative model that learns Betti numbers from a data set [Details]
F. Maire
  • ESANN 2003 - Extracting Interface Assertions from Neural Networks in Polyhedral Format [Details]
Dominik Mairhöfer
  • ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
  • ESANN 2025 - Investigating the Impact of Imbalanced Medical Data on the Performance of Self-Supervised Learning Approaches [Details]
Jhareswar Maiti
  • No papers found
Mansouri Majdi
  • ESANN 2014 - Predicting Grain Protein Content of Winter Wheat [Details]