| Kernel optimization using conformal maps for the minimal complexity machine | 0 | 0.34 | 2021 |
| Linear time identification of local and global outliers | 0 | 0.34 | 2021 |
| Sparsity in function and derivative approximation via the empirical feature space | 0 | 0.34 | 2020 |
| Neurodynamical classifiers with low model complexity | 0 | 0.34 | 2020 |
| QMCM: Minimizing Vapnik's bound on the VC dimension. | 0 | 0.34 | 2020 |
| Twin Neural Networks for the classification of large unbalanced datasets. | 2 | 0.35 | 2019 |
| Sparse short-term time series forecasting models via minimum model complexity. | 2 | 0.38 | 2017 |
| Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via IACOR. | 0 | 0.34 | 2016 |
| Biomedical sensor properties of flexible PolyVinyliDene flouride | 0 | 0.34 | 2013 |
| Ants find the shortest path: a mathematical proof. | 8 | 0.59 | 2013 |
| Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. | 0 | 0.34 | 2012 |
| Reduced twin support vector regression | 17 | 0.60 | 2011 |
| M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. | 1 | 0.35 | 2011 |
| Learning the optimal kernel for Fisher discriminant analysis via second order cone programming | 8 | 0.56 | 2010 |
| Trail formation in ants. A generalized Polya urn process | 3 | 0.41 | 2010 |
| Knowledge based proximal support vector machines | 14 | 0.81 | 2009 |
| Optimal kernel selection in twin support vector machines | 64 | 2.91 | 2009 |
| Zero Norm Least Squares Proximal SVR | 0 | 0.34 | 2009 |
| Regularized least squares fuzzy support vector regression for financial time series forecasting | 36 | 1.53 | 2009 |
| Kernel Optimization Using a Generalized Eigenvalue Approach | 0 | 0.34 | 2009 |
| Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives | 17 | 0.68 | 2008 |
| Design methodology for configurable analog to digital conversion using support vector machines | 0 | 0.34 | 2008 |
| SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control | 14 | 0.79 | 2007 |
| Fuzzy multi-category proximal support vector classification via generalized eigenvalues | 14 | 0.75 | 2007 |
| Twin Support Vector Machines for pattern classification. | 527 | 16.08 | 2007 |
| Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting | 3 | 0.54 | 2006 |
| Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative | 1 | 0.35 | 2006 |
| Fuzzy proximal support vector classification via generalized eigenvalues | 4 | 0.51 | 2005 |
| Fuzzy linear proximal support vector machines for multi-category data classification | 5 | 0.44 | 2005 |
| A neural network with O(N) neurons for ranking N numbers in O(1/N) time | 10 | 0.94 | 2004 |
| Fast and robust learning through fuzzy linear proximal support vector machines | 33 | 3.30 | 2004 |
| Sparse Probability Regression by Label Partitioning | 0 | 0.34 | 2003 |
| Sequential Chaotic Annealing and its Application to Multilayer Channel Routing | 0 | 0.34 | 1999 |
| A neural network for the Steiner minimal tree problem. | 3 | 0.45 | 1994 |
| Optimization with neural networks: a recipe for improving convergence and solution quality | 2 | 0.42 | 1992 |
