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Amparo Alonso-Betanzos
- ESANN 2023 - Automated green machine learning for condition-based maintenance [Details]
- ESANN 2023 - Green Machine Learning [Details]
- ESANN 2026 - FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments [Details]
- ESANN 2026 - SMOTE k-out: Enhancing Class Separability through Outer Synthetic Sampling [Details]
- ESANN 2004 - Shear strength prediction using dimensional analysis and functional networks [Details]
- ESANN 2005 - a new wrapper method for feature subset selection [Details]
- ESANN 2007 - Classification of computer intrusions using functional networks. A comparative study [Details]
- ESANN 2008 - A Method for Time Series Prediction using a Combination of Linear Models [Details]
- ESANN 2008 - A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis [Details]
- ESANN 2011 - Statistical dependence measure for feature selection in microarray datasets [Details]
- ESANN 2012 - One-class classifier based on extreme value statistics [Details]
- ESANN 2013 - A distributed wrapper approach for feature selection [Details]
- ESANN 2014 - Modeling consumption of contents and advertising in online newspapers [Details]
- ESANN 2015 - Learning features on tear film lipid layer classification [Details]
- ESANN 2015 - On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment [Details]
- ESANN 2016 - Data complexity measures for analyzing the effect of SMOTE over microarrays [Details]
- ESANN 2016 - Machine learning for medical applications [Details]
- ESANN 2016 - One-class classification algorithm based on convex hull [Details]
- ESANN 2016 - Using a feature selection ensemble on DNA microarray datasets [Details]
- ESANN 2017 - A distributed approach for classification using distance metrics [Details]
- ESANN 2017 - Algorithmic challenges in big data analytics [Details]
- ESANN 2017 - Mutual information for improving the efficiency of the SCH algorithm [Details]
- ESANN 2017 - Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing [Details]
- ESANN 2018 - Analysis of imputation bias for feature selection with missing data [Details]
- ESANN 2020 - Do we need hundreds of classifiers or a good feature selection? [Details]
- ESANN 2003 - Accelerating the convergence speed of neural networks learning methods using least squares [Details]
- ESANN 2018 - An analysis of subtask-dependency in robot command interpretation with dilated CNNs [Details]
- ESANN 2018 - Surprisal-based activation in recurrent neural networks [Details]
- ESANN 2014 - Misclassification of class C G-protein-coupled receptors as a label noise problem [Details]
- ESANN 2017 - Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering [Details]
- ESANN 2024 - Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text [Details]
- ESANN 2026 - A Deep Learning Diagnostic Observer for Time Series Anomaly Detection [Details]
- ESANN 2015 - High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study [Details]
- ESANN 2019 - Detecting Ghostwriters in High Schools [Details]
- ESANN 2013 - Handling missing values in kernel methods with application to microbiology data [Details]
- ESANN 2015 - Geometrical homotopy for data visualization [Details]
- ESANN 1998 - Separation of sources in a class of post-nonlinear mixtures [Details]
- ESANN 2001 - A stochastic and competitive network for the separation of sources [Details]
- ESANN 1994 - Decoding functions for Kohonen maps [Details]
- ESANN 2024 - Human Activity Recognition from Thigh and Wrist Accelerometry [Details]
- ESANN 2024 - Human Activity Recognition from Thigh and Wrist Accelerometry [Details]
- ESANN 2016 - An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems [Details]
- ESANN 2016 - Automatic detection of EEG arousals [Details]
- ESANN 2017 - Outlining a simple and robust method for the automatic detection of EEG arousals [Details]
- ESANN 2013 - Automatic Singular Spectrum Analysis for Time-Series Decomposition [Details]
- ESANN 2016 - An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers [Details]
- ESANN 2018 - An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series [Details]
- ESANN 2006 - Selection of more than one gene at a time for cancer prediction from gene expression data [Details]
- ESANN 2019 - Trust, law and ideology in a NN agent model of the US Appellate Courts [Details]
- ESANN 2014 - Credit analysis with a clustering RAM-based neural classifier [Details]
- ESANN 2025 - Enhancing Image Classification in Quantum Computing: A Study on Preprocessing Techniques and Qubit Limitations [Details]
- ESANN 2020 - Towards Adversarial Attack Resistant Deep Neural Networks [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 2026 - Emotion Recognition in Multimodal Social Data [Details]
- ESANN 2001 - SOM competition for complex image scene with variant object positions [Details]
- No papers found