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
S. Boucheron
  • ESANN 1995 - Control of complexity in learning with perturbed inputs [Details]
henda boudegga
  • ESANN 2023 - Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture [Details]
Lydia Boudjeloud-Assala
  • ESANN 2018 - K-spectral centroid: extension and optimizations [Details]
Laurent Bougrain
  • ESANN 2007 - Toward a robust 2D spatio-temporal self-organization [Details]
  • ESANN 2009 - Decoding finger flexion using amplitude modulation from band-specific ECoG [Details]
Romain Boulet
  • ESANN 2007 - Clustering a medieval social network by SOM using a kernel based distance measure [Details]
Luc Boullart
  • ESANN 2009 - Brain-Computer Interfaces: from theory to practice [Details]
  • ESANN 2010 - Directional predictions for 4-class BCI data [Details]
M. Bourgeois
  • ESANN 1995 - Identification of the human arm kinetics using dynamic recurrent neural networks [Details]
Alan Bourke
  • ESANN 2013 - Sensor Positioning for Activity Recognition Using Multiple Accelerometer-Based Sensors [Details]
P. Bourret
  • ESANN 1996 - Regularization and neural computation: application to aerial images analysis [Details]
Grégoire Boussu
  • ESANN 2024 - Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation [Details]
C. Boutevin
  • ESANN 2001 - Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts [Details]
Charles Bouveyron
  • No papers found
Charles Bouveyron
  • ESANN 2023 - Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM [Details]
Charles Bouveyron
  • ESANN 2022 - Deep latent position model for node clustering in graphs [Details]
Charles Bouveyron
  • ESANN 2009 - Classification of high-dimensional data for cervical cancer detection [Details]
  • ESANN 2009 - Supervised classification of categorical data with uncertain labels for DNA barcoding [Details]
  • ESANN 2011 - Probabilistic Fisher discriminant analysis [Details]
  • ESANN 2012 - Recent developments in clustering algorithms [Details]
  • ESANN 2012 - Robust clustering of high-dimensional data [Details]
  • ESANN 2015 - A State-Space Model for the Dynamic Random Subgraph Model [Details]
Christopher Bowles
  • ESANN 2014 - Weighted tree kernels for sequence analysis [Details]
Stephen Boyd
  • ESANN 2012 - Interval coded scoring systems for survival analysis [Details]
Andrey Boytsov
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
Antônio Braga
  • ESANN 2007 - A new decision strategy in multi-objective training of the artificial neural networks [Details]
  • ESANN 2007 - A-LSSVM: an Adaline based iterative sparse LS-SVM classifier [Details]
  • ESANN 2007 - Complexity bounds of radial basis functions and multi-objective learning [Details]
  • ESANN 2008 - A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy [Details]
  • ESANN 2009 - Machine Learning with Labeled and Unlabeled Data [Details]
  • ESANN 2013 - GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems [Details]
  • ESANN 2015 - An affinity matrix approach for structure selection of extreme learning machines [Details]
  • ESANN 2015 - Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach [Details]
  • ESANN 2015 - Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation [Details]
  • ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
Mateus Braga
  • ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
Antonio Padua Braga
  • ESANN 2024 - Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings [Details]
João P. Braga
  • ESANN 2014 - Parameter-free regularization in Extreme Learning Machines with affinity matrices [Details]
Antônio P. Braga
  • ESANN 2014 - A new approach for multiple instance learning based on a homogeneity bag operator [Details]
  • ESANN 2014 - An Extreme Learning Approach to Active Learning [Details]
  • ESANN 2014 - Parameter-free regularization in Extreme Learning Machines with affinity matrices [Details]
Antonio Padua Braga
  • ESANN 2010 - Introduction to Computational Intelligence Business Applications [Details]
  • ESANN 2012 - Cluster homogeneity as a semi-supervised principle for feature selection using mutual information [Details]
R. Brancaccio
  • ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
Samuel Branders
  • ESANN 2024 - Transfer learning to minimize the predictive risk in clinical research [Details]
Samuel Branders
  • ESANN 2015 - Survival Analysis with Cox Regression and Random Non-linear Projections [Details]
Rickard Brännvall
  • ESANN 2020 - Cross-Encoded Meta Embedding towards Transfer Learning [Details]
Elvira Brattico
  • ESANN 2013 - Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis [Details]
Antonio Brau
  • ESANN 2025 - Encoding Graph Topology with Randomized Ising Models [Details]