Andrea Duggento

Orcid: 0000-0001-6030-5269

According to our database1, Andrea Duggento authored at least 36 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs.
Neurocomputing, February, 2024

Beyond multilayer perceptrons: Investigating complex topologies in neural networks.
Neural Networks, 2024

2023
VAESim: A probabilistic approach for self-supervised prototype discovery.
Image Vis. Comput., September, 2023

Breaking the Structure of Multilayer Perceptrons with Complex Topologies.
Proceedings of the Topological, 2023

Contrastive learning for unsupervised medical image clustering and reconstruction.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
Multimodal and multicontrast image fusion via deep generative models.
Inf. Fusion, 2022

Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience.
Frontiers Comput. Neurosci., 2022

Physically constrained neural networks to solve the inverse problem for neuron models.
CoRR, 2022

An intertwined neural network model for EEG classification in brain-computer interfaces.
CoRR, 2022

Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Physically constrained neural networks for inferring physiological system models.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Classification of real-world pathological phonocardiograms through multi-instance learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Unsupervised stratification in neuroimaging through deep latent embeddings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Frequency dependent functional brain reorganization in anesthesia is specific to drug concentration.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow.
NeuroImage, 2019

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
NeuroImage, 2019

A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations.
Entropy, 2019

Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain.
Entropy, 2019

Resting State Neural Correlates of Cardiac Sympathetic Dynamics in Healthy Subjects.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A random initialization deep neural network for discriminating malignant breast cancer lesions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Recurrent neural networks for reconstructing complex directed brain connectivity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Resting-state brain correlates of cardiovascular complexity.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Resting-state brain correlates of instantaneous autonomic outflow.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Dynamical brain connectivity estimation using GARCH models: An application to personality neuroscience.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Dynamic inter-network connectivity in the human brain.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Simultaneous estimation of the in-mean and in-variance causal connectomes of the human brain.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Distribution-aware estimation of the minimum achievable uncertainty in diffusion-tensor imaging (DTI).
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2011
Intra- and inter-beat modeling of cardiovascular dynamics and control: Assessing haemodynamic stability and responsiveness.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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