Andrea Duggento

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Granger Causality

Multilayer Perceptron

Top Venues

Publications

Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks 171 (2024)
Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. Neurocomputing 568 (2024)
Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi
Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL (2023)
Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi
Multimodal and multicontrast image fusion via deep generative models. CoRR (2023)
Gaetano Valenza, Mariano Alcañiz, Antonio Luca Alfeo, Matteo Bianchi, Vladimir Carli, Vincenzo Catrambone, Mario G. C. A. Cimino, Gabriela Dudnik, Andrea Duggento, Matteo Ferrante, Claudio Gentili, Jaime Guixeres, Simone Rossi, Nicola Toschi, Virginie van Wassenhove
The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. MetroXRAINE (2023)
Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. 137 (2023)
Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks. CoRR (2023)
Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
Breaking the Structure of Multilayer Perceptrons with Complex Topologies. TAG-ML (2023)
Matteo Ferrante, Andrea Duggento, Nicola Toschi
Physically constrained neural networks to solve the inverse problem for neuron models. CoRR (2022)
Andrea Duggento, Mario De Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza, Nicola Toschi
An intertwined neural network model for EEG classification in brain-computer interfaces. CoRR (2022)
Matteo Ferrante, Tommaso Boccato, Simeon Spasov, Andrea Duggento, Nicola Toschi
Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR (2022)
Matteo Ferrante, Andrea Duggento, Nicola Toschi
Physically constrained neural networks for inferring physiological system models. EMBC (2022)
Andrea Duggento, Spase Petkoski, Tomislav Stankovski, Nicola Toschi
Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience. Frontiers Comput. Neurosci. 16 (2022)
Marianna Inglese, Andrea Duggento, Tommaso Boccato, Matteo Ferrante, Nicola Toschi
Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. EMBC (2022)
Giovanna Maria Dimitri, Simeon Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi
Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion 88 (2022)
Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs. CoRR (2022)
Matteo Ferrante, Tommaso Boccato, Simeon Spasov, Andrea Duggento, Nicola Toschi
VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR (2022)
Andrea Duggento, Allegra Conti, Maria Guerrisi, Nicola Toschi
Classification of real-world pathological phonocardiograms through multi-instance learning. EMBC (2021)
Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi
Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC (2020)
Allegra Conti, Oluwaseun Akeju, Andrea Duggento, Shubham Chamadia, Riccardo Barbieri, Nicola Toschi
Frequency dependent functional brain reorganization in anesthesia is specific to drug concentration. EMBC (2020)
Allegra Conti, Andrea Duggento, Maria Guerrisi, Luca Passamonti, Iole Indovina, Nicola Toschi
Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain. Entropy 21 (7) (2019)
Gaetano Valenza, Roberta Sclocco, Andrea Duggento, Luca Passamonti, Vitaly Napadow, Riccardo Barbieri, Nicola Toschi
The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow. NeuroImage 197 (2019)
Andrea Duggento, Manuel Scimeca, Nicoletta Urbano, Elena Bonanno, Marco Aiello, Carlo Cavaliere, Giuseppe Leonardo Cascella, Davide Cascella, Giovanni Conte, Maria Guerrisi, Nicola Toschi
A random initialization deep neural network for discriminating malignant breast cancer lesions. EMBC (2019)
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Salvatore Nigro, Maria Giovanna Bianco, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations. Entropy 21 (7) (2019)
Andrea Duggento, Maria Guerrisi, Nicola Toschi
Recurrent neural networks for reconstructing complex directed brain connectivity. EMBC (2019)
Gaetano Valenza, Andrea Duggento, Luca Passamonti, Nicola Toschi, Riccardo Barbieri
Resting State Neural Correlates of Cardiac Sympathetic Dynamics in Healthy Subjects. EMBC (2019)
Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. NeuroImage 189 (2019)
Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi
A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease. EMBC (2018)
Andrea Duggento, Luca Passamonti, Maria Guerrisi, Nicola Toschi
A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data. EMBC (2018)
Gaetano Valenza, Andrea Duggento, Luca Passamonti, Stefano Diciotti, Carlo Tessa, Nicola Toschi, Riccardo Barbieri
Resting-state brain correlates of cardiovascular complexity. EMBC (2017)
Gaetano Valenza, Andrea Duggento, Luca Passamonti, Stefano Diciotti, Carlo Tessa, Riccardo Barbieri, Nicola Toschi
Resting-state brain correlates of instantaneous autonomic outflow. EMBC (2017)
R. Riccelli, Luca Passamonti, Andrea Duggento, Maria Guerrisi, Iole Indovina, A. Terracciano, Nicola Toschi
Dynamical brain connectivity estimation using GARCH models: An application to personality neuroscience. EMBC (2017)
Andrea Duggento, Luca Passamonti, Maria Guerrisi, Nicola Toschi
Simultaneous estimation of the in-mean and in-variance causal connectomes of the human brain. EMBC (2017)
Andrea Duggento, Luca Passamonti, Maria Guerrisi, Gaetano Valenza, Riccardo Barbieri, Nicola Toschi
Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches. EMBC (2017)
R. Riccelli, Luca Passamonti, Andrea Duggento, Maria Guerrisi, Iole Indovina, Nicola Toschi
Dynamic inter-network connectivity in the human brain. EMBC (2017)
Andrea Duggento, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Maria Guerrisi, Nicola Toschi
Distribution-aware estimation of the minimum achievable uncertainty in diffusion-tensor imaging (DTI). EMBC (2016)
Nicola Toschi, Stefano Ciulli, Stefano Diciotti, Andrea Duggento, Maria Guerrisi, Andrea Magrini, Luisa Campagnolo, Antonio Pietroiusti
Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems. EMBC (2016)
Gaetano Valenza, Andrea Romigi, Luca Citi, Fabio Placidi, Francesca Izzi, Maria Albanese, Enzo Pasquale Scilingo, Maria Grazia Marciani, Andrea Duggento, Maria Guerrisi, Nicola Toschi, Riccardo Barbieri
Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics. EMBC (2016)
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach. EMBC (2016)
Andrea Duggento, Marta Bianciardi, Lawrence L. Wald, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis. EMBC (2015)
Nicola Toschi, Andrea Duggento, Antonio Canichella, Filadelfo Coniglione, Mario Dauri, Alessandro F. Sabato, Maria Guerrisi
Intra- and inter-beat modeling of cardiovascular dynamics and control: Assessing haemodynamic stability and responsiveness. EMBC (2011)