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Marley Vellasco
- ESANN 2004 - Data Mining Techniques on the Evaluation of Wireless Churn [Details]
- ESANN 2005 - Functional topographic mapping for robust handling of outliers in brain tumour data [Details]
- ESANN 2005 - Handling outliers and missing data in brain tumour clinical assessment using t-GTM [Details]
- ESANN 2006 - Learning what is important: feature selection and rule extraction in a virtual course [Details]
- ESANN 2007 - Identification of churn routes in the Brazilian telecommunications market [Details]
- ESANN 2008 - DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization [Details]
- ESANN 2008 - Machine learning in cancer research: implications for personalised medicine [Details]
- ESANN 2010 - Computational Intelligence in biomedicine: Some contributions [Details]
- ESANN 2010 - Kernel generative topographic mapping [Details]
- ESANN 2010 - Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods [Details]
- ESANN 2010 - Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis [Details]
- ESANN 2011 - A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences [Details]
- ESANN 2011 - Seeing is believing: The importance of visualization in real-world machine learning applications [Details]
- ESANN 2012 - Cartogram representation of the batch-SOM magnification factor [Details]
- ESANN 2012 - Making machine learning models interpretable [Details]
- ESANN 2013 - A quotient basis kernel for the prediction of mortality in severe sepsis patients [Details]
- ESANN 2013 - Robust cartogram visualization of outliers in manifold learning [Details]
- ESANN 2013 - Visualizing pay-per-view television customers churn using cartograms and flow maps [Details]
- ESANN 2016 - A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [Details]
- ESANN 2016 - Bayesian semi non-negative matrix factorisation [Details]
- ESANN 2016 - Physics and Machine Learning: Emerging Paradigms [Details]
- ESANN 2018 - Bioinformatics and medicine in the era of deep learning [Details]
- ESANN 2019 - Societal Issues in Machine Learning: When Learning from Data is Not Enough [Details]
- ESANN 2021 - The Coming of Age of Interpretable and Explainable Machine Learning Models [Details]
- ESANN 2025 - Altered emotion recognition from psychiatric patient profiles using Machine Learning [Details]
- ESANN 2025 - Machine Learning and applied Artificial Intelligence in cognitive sciences and pyschology: a tutorial [Details]
- ESANN 2014 - Misclassification of class C G-protein-coupled receptors as a label noise problem [Details]
- ESANN 1998 - Parsimonious learning feed-forward control [Details]
- ESANN 2024 - Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface [Details]
- ESANN 1996 - Time series prediction using neural networks and its application to artificial human walking [Details]
- ESANN 2006 - Visualizing gene interaction graphs with local multidimensional scaling [Details]
- ESANN 2025 - Enhancing Computer Vision with Knowledge: a Rummikub Case Study [Details]
- ESANN 2001 - A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures [Details]
- ESANN 2013 - Delaunay simplices pruning based clustering [Details]
- ESANN 2016 - Incremental hierarchical indexing and visualisation of large image collections [Details]
- ESANN 2016 - Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation [Details]
- ESANN 2002 - Fast nonlinear dimensionality reduction with topology preserving networks [Details]
- ESANN 2003 - Self-Organization by Optimizing Free-Energy [Details]
- ESANN 2025 - Growth strategies for arbitrary DAG neural architectures [Details]
- ESANN 1996 - Regulated Activation Weights Neural Network (RAWN) [Details]
- ESANN 2009 - Sparse differential connectivity graph of scalp EEG for epileptic patients [Details]
- ESANN 2007 - Computational Intelligence approaches to causality detection [Details]
- ESANN 2013 - Automated operational states detection for drilling systems control in critical conditions [Details]
- ESANN 2015 - Data Analytics for Drilling Operational States Classifications [Details]
- ESANN 2014 - Context- and cost-aware feature selection in ultra-low-power sensor interfaces [Details]
- ESANN 2018 - Feature noise tuning for resource efficient Bayesian Network Classifiers [Details]
- ESANN 2025 - Shallow convolution and attention-based models for micro-expression recognition [Details]
- ESANN 2020 - Perplexity-free Parametric t-SNE [Details]
- ESANN 2021 - Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. [Details]
- ESANN 2021 - Stochastic quartet approach for fast multidimensional scaling [Details]
- ESANN 2023 - On the number of latent representations in deep neural networks for tabular data [Details]
- ESANN 2024 - Forget early exaggeration in t-SNE: early hierarchization preserves global structure [Details]
- ESANN 2025 - Can MDS rival with t-SNE by using the symmetric Kullback-Leibler divergence\\ across neighborhoods as a pseudo-distance? [Details]
- ESANN 1993 - Laplacian pyramid with multilayer perceptrons interpolators [Details]
- ESANN 1993 - Optimal decision surfaces in LVQ1 classiffication of patterns [Details]
- ESANN 1994 - An optimized RBF network for approximation of functions [Details]
- ESANN 1994 - Estimation of performance bounds in supervised classification [Details]
- ESANN 1995 - Suboptimal Bayesian classification by vector quantization with small clusters [Details]
- ESANN 1997 - Kohonen maps versus vector quantization for data analysis [Details]
- ESANN 1998 - Forecasting time-series by Kohonen classification [Details]
- ESANN 1999 - Extraction of intrinsic dimension using CCA - Application to blind sources separation [Details]
- ESANN 1999 - Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm [Details]
- ESANN 2000 - A robust non-linear projection method [Details]
- ESANN 2000 - Time series forecasting using CCA and Kohonen maps - application to electricity consumption [Details]
- ESANN 2001 - Input data reduction for the prediction of financial time series [Details]
- ESANN 2002 - Curvilinear Distance Analysis versus Isomap [Details]
- ESANN 2002 - Width optimization of the Gaussian kernels in Radial Basis Function Networks [Details]
- ESANN 2003 - Fast approximation of the bootstrap for model selection [Details]
- ESANN 2003 - Locally Linear Embedding versus Isotop [Details]
- ESANN 2003 - On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures [Details]
- ESANN 2004 - Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions ? [Details]
- ESANN 2005 - Non-Euclidean metrics for similarity search in noisy datasets [Details]
- ESANN 2005 - Pruned lazy learning models for time series prediction [Details]
- ESANN 2005 - clustering using a random walk based distance measure [Details]
- ESANN 2006 - Determination of the Mahalanobis matrix using nonparametric noise estimations [Details]
- ESANN 2006 - Lag selection for regression models using high-dimensional mutual information [Details]
- ESANN 2006 - Non-orthogonal Support Width ICA [Details]
- ESANN 2006 - The permutation test for feature selection by mutual information [Details]
- ESANN 2007 - Collaborative Filtering with interlaced Generalized Linear Models [Details]
- ESANN 2007 - Feature clustering and mutual information for the selection of variables in spectral data [Details]
- ESANN 2007 - Mixtures of robust probabilistic principal component analyzers [Details]
- ESANN 2008 - K-nearest neighbours based on mutual information for incomplete data classification [Details]
- ESANN 2008 - Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity [Details]
- ESANN 2008 - Rank-based quality assessment of nonlinear dimensionality reduction [Details]
- ESANN 2008 - Using the Delta Test for Variable Selection [Details]
- ESANN 2009 - Adaptive anisotropic denoising: a bootstrapped procedure [Details]
- ESANN 2009 - Improving the transition modelling in hidden Markov models for ECG segmentation [Details]
- ESANN 2009 - Patch-based bilateral filter and local m-smoother for image denoising [Details]
- ESANN 2009 - Supervised variable clustering for classification of NIR spectra [Details]
- ESANN 2010 - Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs [Details]
- ESANN 2010 - Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising [Details]
- ESANN 2010 - Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning [Details]
- ESANN 2010 - Self Organizing Star (SOS) for health monitoring [Details]
- ESANN 2010 - Using SVMs with randomised feature spaces: an extreme learning approach [Details]
- ESANN 2011 - Class-Specific Feature Selection for One-Against-All Multiclass SVMs [Details]
- ESANN 2011 - Mutual information based feature selection for mixed data [Details]
- ESANN 2011 - Mutual information for feature selection with missing data [Details]
- ESANN 2012 - Cluster homogeneity as a semi-supervised principle for feature selection using mutual information [Details]
- ESANN 2012 - Incremental feature building and classification for image segmentation [Details]
- ESANN 2012 - On the Potential Inadequacy of Mutual Information for Feature Selection [Details]
- ESANN 2012 - The stability of feature selection and class prediction from ensemble tree classifiers [Details]
- ESANN 2013 - Risk Estimation and Feature Selection [Details]
- ESANN 2013 - Sensitivity to parameter and data variations in dimensionality reduction techniques [Details]
- ESANN 2014 - Interactive dimensionality reduction for visual analytics [Details]
- ESANN 2014 - Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction [Details]
- ESANN 2014 - Recent methods for dimensionality reduction: A brief comparative analysis [Details]
- ESANN 2015 - Geometrical homotopy for data visualization [Details]
- ESANN 2016 - A state-space model on interactive dimensionality reduction [Details]
- ESANN 2018 - Extensive assessment of Barnes-Hut t-SNE [Details]
- ESANN 2018 - Perplexity-free t-SNE and twice Student tt-SNE [Details]
- ESANN 2019 - Class-aware t-SNE: cat-SNE [Details]
- ESANN 2019 - MAP best performances prediction for endurance runners [Details]
- ESANN 2019 - Tensor factorization to extract patterns in multimodal EEG data [Details]
- ESANN 2004 - functional radial basis function networks [Details]
- ESANN 2004 - How to project `circular' manifolds using geodesic distances? [Details]
- ESANN 2004 - fast bootstrap for least-square support vector machines [Details]
- ESANN 2004 - Flexible and Robust Bayesian Classification by Finite Mixture Models [Details]
- No papers found
- ESANN 2018 - Evolutionary RL for Container Loading [Details]
- ESANN 1995 - A new training algorithm for feedforward neural networks [Details]