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
Andrey Boytsov
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [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]
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]
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]
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]
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]
U.-D. Braumann
  • ESANN 1995 - An episodic knowledge base for object understanding [Details]
Katharina Braun
  • ESANN 2004 - Learning by geometrical shape changes of dendritic spines [Details]
R. Brause
  • ESANN 2000 - A neuro-fuzzy approach as medical diagnostic interface [Details]
A. Bray
  • ESANN 2002 - Kernel Temporal Component Analysis (KTCA) [Details]
Massimo Brescia
  • ESANN 2018 - stellar formation rates in galaxies using machine learning models [Details]
Bastien Breteau
  • ESANN 2011 - Approaches for Automatic Speaker Recognition in a Binaural Humanoid Context [Details]
Maurício Breternitz
  • ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
Mauricio Breternitz Jr.
  • No papers found
Mauricio Breternitz Jr.
  • ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
  • ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
  • ESANN 2022 - Pruning Weightless Neural Networks [Details]
  • ESANN 2023 - Efficient Knowledge Aggregation Methods for Weightless Neural Networks [Details]
S. Breutel
  • ESANN 2003 - Extracting Interface Assertions from Neural Networks in Polyhedral Format [Details]
B. Breznen
  • ESANN 1993 - Place-to-time code transformation during saccades [Details]
Hans Briegel
  • ESANN 2016 - Enhanced learning for agents in quantum-accessible environments [Details]
Rodrigo Brindeiro
  • ESANN 2012 - Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks [Details]
Johannes Brinkrolf
  • ESANN 2018 - Differential private relevance learning [Details]
Johannes Brinkrolf
  • ESANN 2020 - Sparse Metric Learning in Prototype-based Classification [Details]
  • ESANN 2021 - Federated Learning Vector Quantization [Details]
  • ESANN 2022 - Federated learning vector quantization for dealing with drift between nodes [Details]
  • ESANN 2023 - Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts [Details]
  • ESANN 2024 - Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty [Details]
Xavier BRIOTTET
  • ESANN 2017 - Impact of the initialisation of a blind unmixing method dealing with intra-class variability [Details]
Walkir Brito
  • ESANN 2017 - Automatic crime report classi cation through a weightless neural network [Details]
Lucas Brito Silva
  • ESANN 2023 - Large-scale dataset and benchmarking for hand and face detection focused on sign language [Details]