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
Jamal Atif
  • ESANN 2020 - Estimating Individual Treatment Effects through Causal Populations Identification [Details]
Ferhat Attal
  • ESANN 2024 - Multidimensional CDTW-based features for Parkinson's Disease classification [Details]
Ferhat ATTAL
  • ESANN 2015 - Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions [Details]
  • ESANN 2018 - CDTW-based classification for Parkinson's Disease diagnosis [Details]
J.-G. Attali
  • ESANN 1995 - Functional approximation by perceptrons: a new approach [Details]
Conrad Attard
  • ESANN 2008 - The impact of axon wiring costs on small neuronal networks [Details]
Ulrike I. Attenberger
  • ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
  • ESANN 2024 - On the Stability of Neural Segmentation in Radiology [Details]
Ulrike I. Attenberger
  • No papers found
Virginie Attina
  • ESANN 2009 - Sensors selection for P300 speller brain computer interface [Details]
Romis Attux
  • ESANN 2013 - Error entropy criterion in echo state network training [Details]
  • ESANN 2014 - Analysis of the Weighted Fuzzy C-means in the problem of source location [Details]
  • ESANN 2016 - An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems [Details]
L. Aubry
  • ESANN 2001 - More on stationnary points in Independent Component Analysis [Details]
Julien Audiffren
  • ESANN 2015 - Online Learning with Operator-valued Kernels [Details]
D. Auer
  • ESANN 2003 - Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis [Details]
Dante Augusto Couto Barone
  • ESANN 2019 - Using Deep Learning and Evolutionary Algorithms for Time Series Forecasting [Details]
Sompun Aumpawan
  • ESANN 2011 - Stability of Neural Network Control for Uncertain Sampled-Data Systems [Details]
M. S. H. Aung
  • ESANN 2013 - A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition [Details]
M. Aupetit
  • ESANN 2003 - High-dimensional labeled data analysis with Gabriel graphs [Details]
  • ESANN 2003 - Robust Topology Representing Networks [Details]
Michael Aupetit
  • No papers found
Michaël Aupetit
  • ESANN 2004 - Visualizing distortions in continuous projection techniques [Details]
  • ESANN 2006 - Visualizing the trustworthiness of a projection [Details]
  • ESANN 2007 - Learning topology of a labeled data set with the supervised generative gaussian graph [Details]
  • ESANN 2008 - Homogeneous bipartition based on multidimensional ranking [Details]
  • ESANN 2010 - Mapping without visualizing local default is nonsense [Details]
  • ESANN 2010 - Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning [Details]
  • ESANN 2012 - A generative model that learns Betti numbers from a data set [Details]
  • ESANN 2018 - VisCoDeR: A tool for visually comparing dimensionality reduction algorithms [Details]
Michael Aupetit
  • ESANN 2022 - Supervised dimensionality reduction technique accounting for soft classes [Details]
Alex Aussem
  • ESANN 2017 - Reducing variance due to importance weighting in covariate shift bias correction [Details]
Alexandre Aussem
  • ESANN 2006 - Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints [Details]
  • ESANN 2006 - Modelling switching dynamics using prediction experts operating on distinct wavelet scales [Details]
  • ESANN 2006 - Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system [Details]
  • ESANN 2008 - Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification [Details]
  • ESANN 2008 - SOM based clustering with instance-level constraints [Details]
A. Aussem
  • ESANN 2001 - Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts [Details]
Jim Austin
  • ESANN 2005 - Chemical similarity searching using a neural graph matcher [Details]
J. Austin
  • ESANN 2001 - An integrated neural IR system [Details]
  • ESANN 2002 - High frequency forecasting with associative memories [Details]
  • ESANN 2002 - Novelty detection for strain-gauge degradation using maximally correlated components [Details]
Y. Autret
  • ESANN 1997 - Neural network cooperation for handwritten digit recognition: a comparison of four methods [Details]
Thomas Avé
  • ESANN 2024 - Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning [Details]
Aleksi Avela
  • ESANN 2024 - On Fb-score and Cost-Consistency in Evaluation of Imbalanced Classification [Details]
C. Avilez-Cruz
  • ESANN 1996 - Interpreting data through neural and statistical tools [Details]
F. Aviolat
  • ESANN 1994 - A constructive training algorithm for feedforward neural networks with ternary weights [Details]
Eleftherios Avramidis
  • ESANN 2023 - Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions [Details]