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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
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]
Benjamin Maudet
  • ESANN 2025 - Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias [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 2025 - A variational framework for local learning with probabilistic latent representations [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]
Andreas Mazur
  • No papers found
Andreas Mazur
  • ESANN 2022 - Improving Zorro Explanations for Sparse Observations with Dense Proxy Data [Details]
  • ESANN 2024 - Visualizing and Improving 3D Mesh Segmentation with DeepView [Details]
Vittorio Mazzia
  • No papers found
Mauro Mazzieri
  • ESANN 2010 - Modeling contextualized textual knowledge as a Long-Term Working Memory [Details]
Giuseppe Mazzitelli
  • ESANN 2008 - An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees [Details]
George McConnon
  • ESANN 2010 - A novel interactive biometric passport photograph alignment system [Details]
Ryan McConville
  • ESANN 2018 - Person Identification and Discovery With Wrist Worn Accelerometer Data [Details]
C. McCormack
  • ESANN 1996 - Using a Meta Neural Network for RPROP parameter adaptation [Details]
Klaus McDonald-Maier
  • ESANN 2009 - FPGA-based enhanced probabilistic convergent weightless Network for human Iris recognition [Details]
  • ESANN 2010 - Model Learning from Weights by Adaptive Enhanced Probabilistic Convergent Network [Details]
Ben McElroy
  • ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
S. McGlinchey
  • ESANN 1998 - Invariant feature maps for analysis of orientations in image data [Details]
  • ESANN 1999 - Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data [Details]
J. McNames
  • ESANN 2000 - Local model optimization for time series prediction [Details]
Duccio Meconcelli
  • ESANN 2022 - Deep Learning Approaches for mice glomeruli segmentation [Details]

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