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Alessandra Tosi
- ESANN 2012 - Averaging of kernel functions [Details]
- ESANN 2012 - Cartogram representation of the batch-SOM magnification factor [Details]
- ESANN 2013 - Robust cartogram visualization of outliers in manifold learning [Details]
- ESANN 2015 - Discovering temporally extended features for reinforcement learning in domains with delayed causalities [Details]
- ESANN 2015 - Fast greedy insertion and deletion in sparse Gaussian process regression [Details]
- ESANN 2005 - Neuromimetic model of interval timing [Details]
- ESANN 1994 - Extending immediate reinforcement learning on neural networks to multiple actions [Details]
- ESANN 1994 - Reinforcement learning and neural reinforcement learning [Details]
- ESANN 2012 - Distributed learning via Diffusion adaptation with application to ensemble learning [Details]
- ESANN 2012 - Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors [Details]
- ESANN 2011 - Time Experiencing by Robotic Agents [Details]
- ESANN 2017 - Feature Extraction and Learning for RSSI based Indoor Device Localization [Details]
- ESANN 2021 - Deep Echo State Networks for Functional Ambulation Categories Estimation [Details]
- ESANN 2017 - Reducing variance due to importance weighting in covariate shift bias correction [Details]
- ESANN 2018 - DEEP: decomposition feature enhancement procedure for graphs [Details]
- ESANN 2011 - Hierarchical clustering for graph visualization [Details]
- ESANN 2019 - On the definition of complex structured feature spaces [Details]
- ESANN 2014 - Tensor decomposition of dense SIFT descriptors in object recognition [Details]
- ESANN 2014 - Using Shannon Entropy as EEG Signal Feature for Fast Person Identification [Details]
- ESANN 2016 - Fast Support Vector Clustering [Details]
- ESANN 2017 - The Conjunctive Disjunctive Node Kernel [Details]
- ESANN 2021 - Compact Neural Architecture Search for Local Climate Zones Classification [Details]
- ESANN 2018 - Non-Negative Tensor Dictionary Learning [Details]
- ESANN 2005 - A multi-modular associator network for simple temporal sequence learning and generation [Details]
- ESANN 2005 - Coverage-performance estimation for classification with ambiguous data [Details]
- ESANN 2021 - Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers [Details]
- ESANN 2015 - Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction [Details]
- ESANN 2003 - Extraction of fuzzy rules from trained neural network using evolutionary algorithm [Details]
- ESANN 1997 - Speaker normalization with a mixture of recurrent networks [Details]
- ESANN 2017 - Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks [Details]
- ESANN 2011 - A constraint-based approach to incorporate prior knowledge in causal models [Details]
- ESANN 2020 - Recurrent Feedback Improves Recognition of Partially Occluded Objects [Details]
- ESANN 2023 - CRE: Circle relationship embedding of patches in vision transformer [Details]
- ESANN 2006 - Exploring the role of intrinsic plasticity for the learning of sensory representations [Details]
- ESANN 2006 - The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks [Details]
- ESANN 2009 - A robust biologically plausible implementation of ICA-like learning [Details]
- ESANN 2015 - Real-time activity recognition via deep learning of motion features [Details]
- ESANN 2021 - Inductive learning for product assortment graph completion [Details]
- ESANN 2023 - Graph for Transformer Feature: A New Approach for Face Anti-Spoofing [Details]
- ESANN 2020 - Equilibrium Propagation for Complete Directed Neural Networks [Details]
- ESANN 2009 - Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine [Details]
- ESANN 2009 - A self-training method for learning to rank with unlabeled data [Details]