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
M. S. H. Aung
  • ESANN 2013 - A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition [Details]
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
  • No papers found
M. Aupetit
  • ESANN 2003 - High-dimensional labeled data analysis with Gabriel graphs [Details]
  • ESANN 2003 - Robust Topology Representing Networks [Details]
Michael Aupetit
  • ESANN 2022 - Supervised dimensionality reduction technique accounting for soft classes [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]
Alex Aussem
  • ESANN 2017 - Reducing variance due to importance weighting in covariate shift bias correction [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]
Jim Austin
  • ESANN 2005 - Chemical similarity searching using a neural graph matcher [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]
Mohammed Awad
  • ESANN 2004 - MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality [Details]
Helon V. H. Ayala
  • ESANN 2014 - Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks [Details]
Irene Ayllon Clemente
  • ESANN 2010 - Figure-ground Segmentation using Metrics Adaptation in Level Set Methods [Details]
Sami Äyrämö
  • ESANN 2018 - Comparison of cluster validation indices with missing data [Details]
Araujo Barcelos Ayres Roberto
  • ESANN 2011 - D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment [Details]
A. P. Azcarraga
  • ESANN 2000 - Evaluating SOMs using order metrics [Details]
George Azevedo
  • ESANN 2020 - Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning [Details]
  • ESANN 2023 - Evaluation of Contrastive Learning for Electronic Component Detection [Details]
Niloofar Azizi
  • ESANN 2019 - Complex Valued Gated Auto-encoder for Video Frame Prediction [Details]
Samir Azrour
  • ESANN 2014 - Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis [Details]
Hanane Azzag
  • ESANN 2021 - Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation [Details]
Hanane AZZAG
  • ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
Hanane Azzag
  • ESANN 2008 - Clustering of Self-Organizing Map [Details]
Hanane Azzag
  • ESANN 2024 - From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics [Details]
  • ESANN 2024 - Lightweight Cross-Modal Representation Learning [Details]
  • ESANN 2025 - Performance monitoring and wear comprehension through Neural Network [Details]
Bruno Azzerboni
  • ESANN 2005 - A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction [Details]