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
Lorenzo Pellegrini
- ESANN 2021 - Continual Learning at the Edge: Real-Time Training on Smartphone Devices [Details]
- ESANN 2004 - On fields of nonlinear regression models [Details]
- ESANN 2020 - Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation [Details]
- ESANN 2007 - Causality and communities in neural networks [Details]
- ESANN 2012 - Sparse Nonparametric Topic Model for Transfer Learning [Details]
- ESANN 2022 - Supervised dimensionality reduction technique accounting for soft classes [Details]
- No papers found
- ESANN 2015 - Geometrical homotopy for data visualization [Details]
- ESANN 2013 - Normalized cuts clustering with prior knowledge and a pre-clustering stage [Details]
- ESANN 2013 - support vector machine-based aproach for multi-labelers problems [Details]
- ESANN 2014 - A multi-class extension for multi-labeler support vector machines [Details]
- ESANN 2014 - Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction [Details]
- ESANN 2014 - Optimal Data Projection for Kernel Spectral Clustering [Details]
- ESANN 2014 - Recent methods for dimensionality reduction: A brief comparative analysis [Details]
- ESANN 2006 - Outlier identification with the Harmonic Topographic Mapping [Details]
- ESANN 1999 - A simple associative neural network for producing spatially homogenous spectral abundance interpretations of hyperspectral imagery [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 2024 - Clarity: a Deep Ensemble for Visual Counterfactual Explanations [Details]
- ESANN 2025 - Trajectory-Embedded Matryoshka Representation Learning for Enhanced Similarity Analysis [Details]
- ESANN 1993 - Efficient decomposition of comparison and its applications [Details]
- ESANN 1994 - VLSI complexity reduction by piece-wise approximation of the sigmoid function [Details]
- ESANN 2020 - Equilibrium Propagation for Complete Directed Neural Networks [Details]
- ESANN 2021 - IF: Iterative Fractional Optimization [Details]
- No papers found
- ESANN 2024 - Transfer learning to minimize the predictive risk in clinical research [Details]
- ESANN 2022 - Predicting Test Execution Times with Asymmetric Random Forests [Details]
- ESANN 2021 - Improvement on Generative Adversarial Network for Targeted Drug Design [Details]
- ESANN 2021 - Multiobjective Reinforcement Learning in Optimized Drug Design [Details]
- ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
- ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
- ESANN 2007 - Bat echolocation modelling using spike kernels with Support Vector Regression. [Details]
- ESANN 2011 - Principal component analysis for unsupervised calibration of bio-inspired airflow array sensors [Details]
- ESANN 2012 - EMFit based Ultrasonic Phased Arrays with evolved Weights for Biomimetic Target Localization [Details]
- ESANN 1995 - An evolutive architecture coupled with optimal perceptron learning for classification [Details]
- No papers found
- ESANN 2017 - Latent variable analysis in hospital electric power demand using non-negative matrix factorization [Details]
- ESANN 2018 - Interactive dimensionality reduction of large datasets using interpolation [Details]
- ESANN 2020 - Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks [Details]