Andrea Duggento
Orcid: 0000-0001-6030-5269
According to our database1,
Andrea Duggento
authored at least 36 papers
between 2011 and 2024.
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Bibliography
2024
4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs.
Neurocomputing, February, 2024
2023
Image Vis. Comput., September, 2023
CoRR, 2023
Proceedings of the Topological, 2023
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
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
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
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
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
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
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
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
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