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Francesco Spinnato
- ESANN 2023 - A Protocol for Continual Explanation of SHAP [Details]
- ESANN 2024 - Enhancing Echo State Networks with Gradient-based Explainability Methods [Details]
- ESANN 2025 - Implicit Neural Decision Trees [Details]
- ESANN 2008 - Multilayer perceptron to model the decarburization process in stainless steel production [Details]
- ESANN 2003 - Developmental pruning of synapses and category learning [Details]
- ESANN 2010 - Modelling the McGurk effect [Details]
- ESANN 1998 - A self-organising neural network for modelling cortical development [Details]
- ESANN 1998 - Learning sensory-motor cortical mappings without training [Details]
- ESANN 2004 - Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony [Details]
- ESANN 2004 - Learning by geometrical shape changes of dendritic spines [Details]
- ESANN 2018 - Image-to-Text Transduction with Spatial Self-Attention [Details]
- ESANN 2018 - Continuous convolutional object tracking [Details]
- ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
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- ESANN 2009 - Generalisation of action sequences in RNNPB networks with mirror properties [Details]
- ESANN 2012 - One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI) [Details]
- ESANN 2013 - Decoding stimulation intensity from evoked ECoG activity using support vector regression [Details]
- ESANN 2020 - Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models [Details]
- ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
- ESANN 2019 - Multi-target feature selection through output space clustering [Details]
- ESANN 2012 - Discriminant functional gene groups identification with machine learning and prior knowledge [Details]
- ESANN 2005 - Generalized Relevance LVQ with Correlation Measures for Biological Data [Details]
- ESANN 2006 - Sanger-driven MDSLocalize - a comparative study for genomic data [Details]
- ESANN 2018 - Evolutionary RL for Container Loading [Details]
- ESANN 2020 - An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression [Details]
- ESANN 2001 - Bayesian decision theory on three layered neural networks [Details]
- ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
- ESANN 1997 - Connectionist rule processing using recursive auto-associative memory [Details]
- ESANN 2025 - The Regulatory Character of Boredom in AI - Towards a Self-Regulating System based on Spiking Neural Networks [Details]
- ESANN 2011 - Thresholds tuning of a neuro-symbolic net controlling a behavior-based robotic system [Details]
- ESANN 2014 - Can you follow that guy? [Details]
- ESANN 1993 - Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems [Details]
- ESANN 2013 - Optimization by Variational Bounding [Details]
- ESANN 2018 - Graph based neural networks for automatic classification of multiple sclerosis clinical courses [Details]
- ESANN 2021 - Deep Graph Convolutional Networks for Wind Speed Prediction [Details]