A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Salvatore Masecchia
- ESANN 2013 - A dictionary learning based method for aCGH segmentation [Details]
- ESANN 2019 - Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality [Details]
- ESANN 2014 - Region of interest detection using MLP [Details]
- ESANN 2003 - Anticipated synchronization in neuron models [Details]
- ESANN 2023 - Coordinate descent on the Stiefel manifold for deep neural network training [Details]
- ESANN 2016 - Extending a two-variable mean to a multi-variable mean [Details]
- ESANN 2017 - Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation [Details]
- ESANN 2019 - Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results [Details]
- ESANN 2024 - Large-Scale Continuous Structure Learning from Time-Series Data [Details]
- ESANN 2015 - Memory Transfer in DRASiW–like Systems [Details]
- ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
- ESANN 1998 - Construction of an interactive and competitive artificial neural network for the solution of path planning problems [Details]
- ESANN 1996 - Neurotransmitterdynamics in a model of a movement detecting visual system [Details]
- ESANN 2020 - ASAP - A Sub-sampling Approach for Preserving Topological Structures [Details]
- ESANN 2025 - Implicit Neural Decision Trees [Details]
- ESANN 2013 - Multi-view feature extraction for hyperspectral image classification [Details]
- ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
- ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
- ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
- ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
- ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
- ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
- ESANN 2022 - Continual Learning for Human State Monitoring [Details]
- No papers found
- ESANN 1999 - Generalized support vector machines [Details]
- ESANN 1999 - Independent component analysis for mixture densities [Details]
- ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
- ESANN 2024 - Stable Diffusion Dataset Generation for Downstream Classification Tasks [Details]
- ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
- ESANN 2019 - Direct calculation of out-of-sample predictions in multi-class kernel FDA [Details]
- ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
- ESANN 2019 - Sparse minimal learning machine using a diversity measure minimization [Details]
- ESANN 2009 - Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics [Details]
- ESANN 2017 - Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification [Details]
- ESANN 2004 - Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps [Details]
- ESANN 2006 - Rotation-based ensembles of RBF networks [Details]
- ESANN 2025 - Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias [Details]