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
Felix Bollenbeck
  • ESANN 2006 - Fuzzy image segmentation with Fuzzy Labelled Neural Gas [Details]
D. Bollini
  • ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
Verónica Bolón-Canedo
  • No papers found
Veronica Bolon-Canedo
  • ESANN 2011 - Statistical dependence measure for feature selection in microarray datasets [Details]
  • ESANN 2013 - A distributed wrapper approach for feature selection [Details]
  • ESANN 2014 - Toward parallel feature selection from vertically partitioned data [Details]
  • ESANN 2015 - Feature and kernel learning [Details]
  • ESANN 2015 - Learning features on tear film lipid layer classification [Details]
  • ESANN 2015 - On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment [Details]
  • ESANN 2016 - Data complexity measures for analyzing the effect of SMOTE over microarrays [Details]
  • ESANN 2016 - Machine learning for medical applications [Details]
  • ESANN 2016 - Using a feature selection ensemble on DNA microarray datasets [Details]
  • ESANN 2017 - A distributed approach for classification using distance metrics [Details]
  • ESANN 2017 - Algorithmic challenges in big data analytics [Details]
  • ESANN 2018 - Analysis of imputation bias for feature selection with missing data [Details]
Verónica Bolón-Canedo
  • ESANN 2020 - Do we need hundreds of classifiers or a good feature selection? [Details]
  • ESANN 2025 - Do not get lost in projection: finding the right distance for meaningful UMAP embeddings [Details]
Verónica Bolón-Canedo
  • ESANN 2022 - Feature selection for transfer learning using particle swarm optimization and complexity measures [Details]
  • ESANN 2022 - The role of feature selection in personalized recommender systems [Details]
  • ESANN 2023 - Automated green machine learning for condition-based maintenance [Details]
  • ESANN 2023 - Efficient feature selection for domain adaptation using Mutual Information Maximization [Details]
  • ESANN 2023 - Green Machine Learning [Details]
  • ESANN 2023 - Logarithmic division for green feature selection: an information-theoretic approach [Details]
L. Bolshov
  • ESANN 2000 - Application of MLP and stochastic simulations for electricity load forecasting in Russia [Details]
Michael Bon
  • ESANN 2020 - Estimating Individual Treatment Effects through Causal Populations Identification [Details]
R. Bone
  • ESANN 1998 - NAR time-series prediction: a Bayesian framework and an experiment [Details]
  • ESANN 2000 - An algorithm for the addition of time-delayed connections to recurrent neural networks [Details]
Simone Bonechi
  • ESANN 2020 - Graph Neural Networks for the Prediction of Protein-Protein Interfaces [Details]
  • ESANN 2022 - A weakly supervised approach to skin lesion segmentation [Details]
  • ESANN 2022 - Deep Learning Approaches for mice glomeruli segmentation [Details]
  • ESANN 2025 - Leveraging Segmentation Maps to improve Skin Lesion Classification [Details]
José Bonelo
  • ESANN 2008 - Multilayer perceptron to model the decarburization process in stainless steel production [Details]
Isis Bonet
  • No papers found
Giovanni Bonetta
  • ESANN 2022 - Lightening CNN architectures by regularization driven weights' pruning [Details]
Giovanni Bonetta
  • ESANN 2024 - Vision Language Models as Policy Learners in Reinforcement Learning Environments [Details]
  • ESANN 2025 - A feedback-loop approach for galaxy physical properties estimation [Details]
Giovanni Bonetta
  • No papers found
Rinu Boney
  • ESANN 2019 - Active one-shot learning with Prototypical Networks [Details]
Rinu Boney
  • ESANN 2022 - Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning [Details]
Rinu Boney
  • No papers found
Louise Bonfils
  • ESANN 2021 - Dynamic clustering and modeling of temporal data subject to common regressive effects [Details]
M. Bongard
  • ESANN 2001 - Extracting motion information using a biologically realistic model retina [Details]
Pietro Bongini
  • ESANN 2020 - Graph Neural Networks for the Prediction of Protein-Protein Interfaces [Details]
A. Boni
  • ESANN 2001 - Intelligent hardware for identification and control of non-linear systems with SVM [Details]
Yann Boniface
  • ESANN 2016 - Neural fitted actor-critic [Details]
Olivier Bonin
  • ESANN 2013 - Hierarchical and multiscale Mean Shift segmentation of population grids [Details]
Piero Bonissone
  • ESANN 2005 - unsupervised fuzzy ensembles and their use in intrusion detection [Details]
D. Bonnet
  • ESANN 1997 - d-NARMA neural networks: a connectionist extension of ARARMA models [Details]
Stephane Bonnet
  • ESANN 2012 - BCI Signal Classification using a Riemannian-based kernel [Details]
Loïc Bonnetain
  • ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
Gianluca Bontempi
  • ESANN 2005 - Structural feature selection for wrapper methods [Details]
G. Bontempi
  • ESANN 1998 - Lazy learning for control design [Details]
  • ESANN 2000 - A multi-steap ahead prediction method based on local dynamic properties [Details]