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
Riccardo Massidda
  • ESANN 2024 - Large-Scale Continuous Structure Learning from Time-Series Data [Details]
De gregorio Massimo
  • ESANN 2015 - Memory Transfer in DRASiW–like Systems [Details]
L. Massotti
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
H.A.K. Mastebroeck
  • ESANN 1998 - Construction of an interactive and competitive artificial neural network for the solution of path planning problems [Details]
H.A.K. Mastebroek
  • ESANN 1996 - Neurotransmitterdynamics in a model of a movement detecting visual system [Details]
Michele Mastropietro
  • ESANN 2020 - ASAP - A Sub-sampling Approach for Preserving Topological Structures [Details]
Giona Matasci
  • ESANN 2013 - Multi-view feature extraction for hyperspectral image classification [Details]
Fernando Mateo
  • ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
  • ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
  • ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
  • ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
Benoit Matet
  • ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
Ismael Matino
  • ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
Federico Matteoni
  • No papers found
Federico Matteoni
  • ESANN 2022 - Continual Learning for Human State Monitoring [Details]
D. Mattera
  • ESANN 1999 - Generalized support vector machines [Details]
  • ESANN 1999 - Independent component analysis for mixture densities [Details]
Matteo Matteucci
  • ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
  • ESANN 2024 - Stable Diffusion Dataset Generation for Downstream Classification Tasks [Details]
Pepper Matthew
  • ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
Treder Matthias
  • ESANN 2019 - Direct calculation of out-of-sample predictions in multi-class kernel FDA [Details]
Marin mattieu
  • ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
Cesar Mattos
  • ESANN 2019 - Sparse minimal learning machine using a diversity measure minimization [Details]
Jérémie Mattout
  • ESANN 2009 - Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics [Details]
Stan Matwin
  • ESANN 2017 - Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification [Details]
Jesus Maudes
  • ESANN 2004 - Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps [Details]
  • ESANN 2006 - Rotation-based ensembles of RBF networks [Details]
Giordano Maurizio
  • ESANN 2015 - Memory Transfer in DRASiW–like Systems [Details]
  • ESANN 2017 - WiSARDrp for Change Detection in Video Sequences [Details]
Stefan Mautner
  • ESANN 2019 - Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space Mappings [Details]
N. Michael Mayer
  • ESANN 2009 - Studies on reservoir initialization and dynamics shaping in echo state networks [Details]
Alexandre Mayer
  • ESANN 2024 - From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images [Details]
E. Mayoraz
  • ESANN 1994 - A constructive training algorithm for feedforward neural networks with ternary weights [Details]
  • ESANN 1996 - Bounds on the degree of high order binary perceptrons [Details]
Aurélien Mayoue
  • ESANN 2012 - From neuronal cost-based metrics towards sparse coded signals classification [Details]
Christian Mayr
  • ESANN 2010 - A critique of BCM behavior verification for STDP-type plasticity models [Details]
Johan Mazel
  • ESANN 2021 - Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing [Details]
M. Mazo
  • ESANN 1998 - A neural network for the identification of the dynamic behaviour of a wheelchair [Details]
  • ESANN 2000 - E.O.G. guidance of a weelchair using spiking neural networks [Details]