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
Yves Mendes Galvao
- ESANN 2020 - CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning [Details]
- ESANN 2008 - Multilayer perceptron to model the decarburization process in stainless steel production [Details]
- ESANN 2008 - Improvement in Game Agent Control Using State-Action Value Scaling [Details]
- ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
- ESANN 2011 - Clustering data streams with weightless neural networks [Details]
- ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
- No papers found
- ESANN 2012 - Theory of Input Driven Dynamical Systems [Details]
- No papers found
- ESANN 2024 - Large Language Models as Tuning Agents of Metaheuristics [Details]
- ESANN 2015 - Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets [Details]
- ESANN 2013 - Sensor Positioning for Activity Recognition Using Multiple Accelerometer-Based Sensors [Details]
- ESANN 2007 - Spiral Recurrent Neural Network for Online Learning [Details]
- ESANN 2008 - Conditional prediction of time series using spiral recurrent neural network [Details]
- ESANN 2017 - Learning convolutional neural network to maximize Pos@Top performance measure [Details]
- ESANN 2017 - Latent variable analysis in hospital electric power demand using non-negative matrix factorization [Details]
- No papers found
- ESANN 2018 - Learning with a Fisher surrogate loss in a small data regime [Details]
- ESANN 2007 - Identification of churn routes in the Brazilian telecommunications market [Details]
- ESANN 2013 - Visualizing pay-per-view television customers churn using cartograms and flow maps [Details]
- ESANN 2006 - Bootstrap feature selection in support vector machines for ventricular fibrillation detection [Details]
- ESANN 2021 - Enhancing brain decoding using attention augmented deep neural networks [Details]
- ESANN 2016 - Grounding the experience of a visual field through sensorimotor contingencies [Details]
- ESANN 2016 - On the analysis of feature selection techniques in a conjunctival hyperemia grading framework [Details]
- ESANN 2007 - Spicules-based competitive neural network [Details]
- ESANN 2011 - A Similarity Function with Local Feature Weighting for Structured Data [Details]
- ESANN 2014 - Interactive dimensionality reduction for visual analytics [Details]
- ESANN 2013 - Sensitivity to parameter and data variations in dimensionality reduction techniques [Details]
- ESANN 2008 - K-nearest neighbours based on mutual information for incomplete data classification [Details]
- ESANN 2020 - Understanding and improving unsupervised training of Boltzman machines [Details]