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Davide Zago
- ESANN 2024 - Vision Language Models as Policy Learners in Reinforcement Learning Environments [Details]
- ESANN 2025 - A feedback-loop approach for galaxy physical properties estimation [Details]
- ESANN 2006 - Selection of more than one gene at a time for cancer prediction from gene expression data [Details]
- ESANN 1993 - Paralell dynamics of extremely diluted neural networks [Details]
- ESANN 2003 - Evolved Neurodynamics for Robot Control [Details]
- ESANN 2025 - Analysing the impact of brain-inspired predictive coding dynamics through gradient based explainability methods [Details]
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- ESANN 2022 - Deep Learning for Graphs [Details]
- ESANN 2023 - Graph Representation Learning [Details]
- ESANN 2025 - Foundation and Generative Models for Graphs [Details]
- ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
- ESANN 2014 - Spiking AGREL [Details]
- ESANN 2018 - Pollen grain recognition using convolutional neural network [Details]
- ESANN 2019 - Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients [Details]
- ESANN 2018 - Radar Based Pedestrian Detection using Support Vector Machine and the Micro Doppler Effect [Details]
- ESANN 2007 - Computing and stopping the solution paths for $\nu$-SVR [Details]
- ESANN 2007 - Estimation of tangent planes for neighborhood graph correction [Details]
- ESANN 2008 - Regularization path for Ranking SVM [Details]
- ESANN 2011 - Approaches for Automatic Speaker Recognition in a Binaural Humanoid Context [Details]
- ESANN 2002 - Neural predictive coding for speech discriminant feature extraction: The DFE-NPC [Details]
- ESANN 2006 - Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks [Details]
- ESANN 2003 - A view-based approach for object recognition from image sequences [Details]
- ESANN 2009 - Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine [Details]
- ESANN 2016 - Localized discriminative Gaussian process latent variable model for text-dependent speaker verification [Details]
- ESANN 2001 - Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attraction [Details]
- ESANN 2002 - Different criteria for active learning in neural networks: a comparative study [Details]
- ESANN 2007 - A novel kernel-based method for local pattern extraction in random process signals [Details]
- ESANN 2011 - Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique Patterns [Details]
- ESANN 2015 - Learning Recurrent Dynamics using Differential Evolution [Details]
- ESANN 2015 - Robust Visual Terrain Classification with Recurrent Neural Networks [Details]
- ESANN 2017 - Scalable Hybrid Deep Neural Kernel Networks [Details]
- ESANN 2024 - Feature Learning using Multi-view Kernel Partial Least Squares [Details]
- ESANN 2024 - Towards calibration-free online EEG motor imagery decoding using Deep Learning [Details]
- ESANN 2001 - A structural genetic algorithm to optimize High Order Neural Network architecture [Details]
- ESANN 2004 - reduced dimensionality space for post placement quality inspection of components based on neural networks [Details]
- ESANN 2019 - time series modelling of market price in real-time bidding [Details]
- ESANN 2009 - Bayesian periodogram smoothing for speech enhancement [Details]
- ESANN 2009 - Projection of undirected and non-positional graphs using Self Organizing Maps [Details]
- ESANN 2021 - Cross-modal verification for 3D object detection [Details]
- ESANN 2010 - Exploiting hierarchical prediction structures for mixed 2d-3d tracking [Details]