| Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows. | 1 | 0.35 | 2018 |
| Experiments in combining boosting and deep stacked networks | 1 | 0.37 | 2016 |
| Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression. | 1 | 0.35 | 2016 |
| Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. | 0 | 0.34 | 2015 |
| Does diversity improve deep learning? | 2 | 0.37 | 2015 |
| Post-aggregation of classifier ensembles | 6 | 0.42 | 2015 |
| Classifying patterns with missing values using Multi-Task Learning perceptrons | 17 | 0.77 | 2013 |
| Enhanced Adaptive Volterra Filtering by Automatic Attenuation of Memory Regions and Its Application to Acoustic Echo Cancellation | 12 | 0.56 | 2013 |
| Smoothed emphasis for boosting ensembles | 2 | 0.38 | 2013 |
| An Exploration of Research Directions in Machine Ensemble Theory and Applications. | 0 | 0.34 | 2012 |
| Real AdaBoost With Gate Controlled Fusion | 8 | 0.46 | 2012 |
| Heteroscedastic Gaussian Process Regression Using Expectation Propagation | 5 | 0.48 | 2011 |
| A Block-Based Approach To Adaptively Bias The Weights Of Adaptive Filters | 4 | 0.39 | 2011 |
| A pseudoregression formulation of emphasized soft target procedures for classification problems. | 0 | 0.34 | 2010 |
| Sparse Spectrum Gaussian Process Regression | 27 | 1.47 | 2010 |
| Pattern classification with missing data: a review | 63 | 2.18 | 2010 |
| Improving boosting performance with a local combination of learners. | 1 | 0.34 | 2010 |
| Adaptively biasing the weights of adaptive filters | 18 | 0.99 | 2010 |
| Marginalized neural network mixtures for large-scale regression. | 5 | 0.62 | 2010 |
| Committees of Adaboost ensembles with modified emphasis functions | 5 | 0.40 | 2010 |
| Inter-domain Gaussian Processes for Sparse Inference using Inducing Features. | 0 | 0.34 | 2009 |
| Designing Model Based Classifiers by Emphasizing Soft Targets | 3 | 0.38 | 2009 |
| K nearest neighbours with mutual information for simultaneous classification and missing data imputation | 48 | 1.41 | 2009 |
| Adaptive combination of proportionate filters for sparse echo cancellation | 18 | 1.06 | 2009 |
| Combining Missing Data Imputation And Pattern Classification In A Multi-Layer Perceptron | 2 | 0.38 | 2009 |
| Applying emphasized soft targets for Gaussian Mixture Model based classification | 0 | 0.34 | 2008 |
| Sparse Deconvolution Using Support Vector Machines | 5 | 0.49 | 2008 |
| K-nearest neighbours based on mutual information for incomplete data classification | 3 | 0.39 | 2008 |
| An emphasized target smoothing procedure to improve MLP classifiers performance | 6 | 0.47 | 2008 |
| Emerging machine learning techniques in signal processing | 2 | 0.41 | 2008 |
| A Single Layer Perceptron Approach to Selective Multi-task Learning | 0 | 0.34 | 2007 |
| A New Cost Function For Binary Classification Problems Based On The Distributions Of The Soft Output For Each Class | 0 | 0.34 | 2007 |
| Multi-task Neural Networks for Dealing with Missing Inputs | 2 | 0.37 | 2007 |
| Fast evaluation of neural networks via confidence rating | 2 | 0.40 | 2007 |
| A New Cost Function To Build Mlps By Means Of Regularized Boosting | 0 | 0.34 | 2006 |
| Improved Blind Equalization Via Adaptive Combination Of Constant Modulus Algorithms | 8 | 0.97 | 2006 |
| Designing neural network committees by combining boosting ensembles | 0 | 0.34 | 2006 |
| Pattern Classification With Missing Values Using Multitask Learningac | 2 | 0.40 | 2006 |
| Boosting by weighting critical and erroneous samples | 29 | 1.01 | 2006 |
| Plant identification via adaptive combination of transversal filters | 49 | 2.89 | 2006 |
| Support Vector Machines for Nonlinear Kernel ARMA System Identification | 38 | 1.82 | 2006 |
| Exploiting multitask learning schemes using private subnetworks | 3 | 0.46 | 2005 |
| Boosting by weighting boundary and erroneous samples | 2 | 0.43 | 2005 |
| An On-line Fisher Discriminant | 0 | 0.34 | 2005 |
| Steady state performance of convex combinations of adaptive filters. | 11 | 1.89 | 2005 |
| Multi-dimensional Function Approximation and Regression Estimation | 37 | 2.12 | 2002 |
| Support Vector Robust Algorithms for Non-parametric Spectral Analysis | 0 | 0.34 | 2002 |
| A Trainable Classifier via k Nearest Neighbors | 0 | 0.34 | 2002 |
| Support Vector Method for ARMA System Identification: A Robust Cost Interpretation | 2 | 0.36 | 2002 |
| Soft-decision equalizers for in-service error rate monitoring | 4 | 0.44 | 2000 |
