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Marco Maggini
- ESANN 2004 - Recursive networks for processing graphs with labelled edges [Details]
- ESANN 2006 - A Cyclostationary Neural Network model for the prediction of the NO2 concentration [Details]
- ESANN 2019 - Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction [Details]
- ESANN 1998 - Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis [Details]
- ESANN 1998 - On a Hopfield net arising in the modelling and control of over-saturated signalized intersections [Details]
- ESANN 2016 - Localized discriminative Gaussian process latent variable model for text-dependent speaker verification [Details]
- ESANN 2024 - Vision Language Models as Policy Learners in Reinforcement Learning Environments [Details]
- ESANN 2004 - A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm [Details]
- ESANN 2017 - Training convolutional networks with weight–wise adaptive learning rates [Details]
- ESANN 2002 - Neural networks for modeling memory : case studies [Details]
- ESANN 2020 - Investigating 3D-STDenseNet for Explainable Spatial Temporal Crime Forecasting [Details]
- ESANN 1995 - Sustained and transient amacrine cell circuits underlying the receptive fields of ganglion cells in the vertebrate retina [Details]
- ESANN 1996 - Simulation of an inner plexiform layer neural circuit in vertebrate retina leads to sustained and transient excitation [Details]
- ESANN 2014 - A new biologically plausible supervised learning method for spiking neurons [Details]
- ESANN 2021 - Data-Efficient Training of High-Resolution Images in Medical Domain [Details]
- ESANN 2008 - Factored sequence kernels [Details]
- ESANN 2012 - RNN Based Batch Mode Active Learning Framework [Details]
- ESANN 2024 - Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes [Details]
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- ESANN 2023 - Multimodal Approach for Harmonized System Code Prediction [Details]
- ESANN 2023 - Similarity versus Supervision: Best Approaches for HS Code Prediction [Details]
- ESANN 2006 - Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints [Details]
- ESANN 2010 - Image registration by the extended evolutionary self-organizing map [Details]
- ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
- ESANN 2019 - Prediction of palm oil production with an enhanced n-Tuple Regression Network [Details]
- ESANN 2005 - Using generic neural networks in the control and prediction of grasp postures [Details]
- ESANN 2015 - Towards a Tomographic Index of Systemic Risk Measures [Details]
- ESANN 2007 - ICA-based High Frequency VaR for Risk Management [Details]
- ESANN 2007 - SOM+EOF for finding missing values [Details]
- ESANN 2009 - A robust hybrid DHMM-MLP modelling of financial crises measured by the WhIMS [Details]
- ESANN 2009 - A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises [Details]
- ESANN 2009 - X-SOM and L-SOM: a nested approach for missing value imputation [Details]
- ESANN 2013 - Forecasting Financial Markets with Classified Tactical Signals [Details]
- ESANN 2012 - A generative model that learns Betti numbers from a data set [Details]
- ESANN 2003 - Extracting Interface Assertions from Neural Networks in Polyhedral Format [Details]
- ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
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- ESANN 2014 - Predicting Grain Protein Content of Winter Wheat [Details]
- ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]