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Andres Marino Alvarez-Meza
- ESANN 2013 - Automatic Singular Spectrum Analysis for Time-Series Decomposition [Details]
- ESANN 2016 - An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers [Details]
- ESANN 2014 - Credit analysis with a clustering RAM-based neural classifier [Details]
- ESANN 2020 - Towards Adversarial Attack Resistant Deep Neural Networks [Details]
- ESANN 2006 - Selection of more than one gene at a time for cancer prediction from gene expression data [Details]
- ESANN 2018 - An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series [Details]
- ESANN 2019 - Trust, law and ideology in a NN agent model of the US Appellate Courts [Details]
- ESANN 2010 - Highly sparse kernel spectral clustering with predictive out-of-sample extensions [Details]
- ESANN 2011 - Symbolic computing of LS-SVM based models [Details]
- ESANN 2014 - Optimal Data Projection for Kernel Spectral Clustering [Details]
- ESANN 2001 - SOM competition for complex image scene with variant object positions [Details]
- No papers found
- ESANN 2018 - Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation case [Details]
- ESANN 1997 - Nonlinearity and separation capability: further justification for the ICA algorithm with a learned mixture of parametric densities [Details]
- ESANN 2003 - On different ensembles of kernel machines [Details]
- ESANN 2016 - Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold [Details]
- ESANN 2023 - Real-time Detection of Evoked Potentials by Deep Learning: a Case Study [Details]
- ESANN 2020 - On Feature Selection Using Anisotropic General Regression Neural Network [Details]
- ESANN 2012 - Range-based non-orthogonal ICA using cross-entropy method [Details]
- ESANN 2023 - Mixture of stochastic block models for multiview clustering [Details]
- ESANN 2018 - Spatial pooling as feature selection method for object recognition [Details]
- ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
- ESANN 2023 - Multimodal Approach for Harmonized System Code Prediction [Details]
- ESANN 2023 - Similarity versus Supervision: Best Approaches for HS Code Prediction [Details]
- ESANN 2017 - Structure optimization for deep multimodal fusion networks using graph-induced kernels [Details]
- ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
- ESANN 2004 - input arrival-time-dependent decoding scheme for a spiking neural network [Details]
- ESANN 2009 - Sparse differential connectivity graph of scalp EEG for epileptic patients [Details]
- ESANN 2009 - A self-training method for learning to rank with unlabeled data [Details]
- ESANN 2024 - Multidimensional CDTW-based features for Parkinson's Disease classification [Details]
- ESANN 2012 - Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors [Details]
- ESANN 2018 - CDTW-based classification for Parkinson's Disease diagnosis [Details]
- ESANN 2010 - A Novel Two-Phase SOM Clustering Approach to Discover Visitor Interests in a Website [Details]
- ESANN 2001 - Extracting motion information using a biologically realistic model retina [Details]