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Gerardo Rubino
- ESANN 2024 - Exploring Self-Organizing Maps for Addressing Semantic Impairments [Details]
- ESANN 2009 - Applying Mutual Information for Prototype or Instance Selection in Regression Problems [Details]
- ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]
- ESANN 2006 - Robust Local Cluster Neural Networks [Details]
- ESANN 2007 - Controlling complexity of RBF networks by similarity [Details]
- ESANN 2012 - Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting [Details]
- ESANN 2012 - Parallel neural hardware: the time is right [Details]
- ESANN 2012 - gNBXe -- a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps [Details]
- ESANN 1994 - A stop criterion for the Boltzmann machine learning algorithm [Details]
- ESANN 2019 - Pixel-wise Conditioning of Generative Adversarial Networks [Details]
- ESANN 1996 - An analysis of the metric structure of the weight space of feedforward networks and its application to time series modeling and prediction [Details]
- ESANN 2011 - The role of Fisher information in primary data space for neighbourhood mapping [Details]
- ESANN 2012 - Constructing similarity networks using the Fisher information metric [Details]
- ESANN 2015 - Measuring scoring efficiency through goal expectancy estimation [Details]
- ESANN 2009 - SVM-based learning method for improving colour adjustment in automotive basecoat manufacturing [Details]
- ESANN 2013 - A quotient basis kernel for the prediction of mortality in severe sepsis patients [Details]
- ESANN 2014 - Exploiting similarity in system identification tasks with recurrent neural networks [Details]
- ESANN 2018 - Sensitivity analysis for predictive uncertainty [Details]
- ESANN 2019 - interpretable dynamics models for data-efficient reinforcement learning [Details]
- ESANN 2021 - Behavior Constraining in Weight Space for Offline Reinforcement Learning [Details]
- ESANN 2021 - Differentially Private Time Series Generation [Details]
- ESANN 2023 - Automatic Trade-off Adaptation in Offline RL [Details]
- ESANN 2020 - Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation [Details]
- ESANN 1999 - Regularization in oculomotor adaptation [Details]
- ESANN 2023 - Pattern Recognition Spiking Neural Network for Classification of Chinese Characters [Details]
- ESANN 2006 - Using sampling methods to improve binding site predictions [Details]
- ESANN 2024 - ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery [Details]
- No papers found
- ESANN 2005 - efficient estimation of multidimensional regression model with multilayer perceptron [Details]
- ESANN 2006 - Consistent estimation of the architecture of multilayer perceptrons [Details]
- ESANN 2007 - Estimating the Number of Components in a Mixture of Multilayer Perceptrons [Details]
- ESANN 2010 - Asymptotic properties of mixture-of-experts models [Details]
- ESANN 2011 - General bound of overfitting for MLP regression models [Details]
- ESANN 2012 - Quantile regression with multilayer perceptrons. [Details]
- ESANN 2018 - Asymptotic statistics for multilayer perceptron with ReLu hidden units [Details]
- ESANN 2019 - On overfitting of multilayer perceptrons for classification [Details]
- ESANN 2022 - Deep networks with ReLU activation functions can be smooth statistical models [Details]